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Job Description Summary/Objective We are seeking a motivated Salesforce Administrator to support our nonprofit’s constituent management functions across our CRM, marketing, and program operations. This highly visible, hands‑on role partners closely with teams across the organization to deliver Salesforce administration, user support, training, and system optimization. The Salesforce Administrator manages day‑to‑day configuration and enhancement of Salesforce Sales Cloud with Nonprofit Success Pack (NPSP), Marketing Cloud, and the new Nonprofit Cloud (NPC) including third‑party integrations. This role responds to user inquiries; oversees data management and reporting; and collaborates with stakeholders to automate processes and maximize Salesforce capabilities in support of organizational goals. Reporting to the Senior Salesforce Director, this role translates operational needs into scalable solutions that strengthen fundraising, marketing, outreach, and core program workflows. AmeriCorps and City Year alumni are encouraged to apply. Role/Responsibilities • Administer and optimize Salesforce Sales Cloud with Nonprofit Success Pack (NPSP) and Marketing Cloud, including management and implementation of third‑party integrations and the Sales Cloud–Marketing Cloud connection., • Handle second-level tickets in the new Nonprofit Cloud (Salesforce NPC)., • Provide end‑to‑end Salesforce administration and user support across the organization, serving as first‑level support, managing escalations, and delivering troubleshooting and training as needed., • Partner with internal departments and external vendors to translate business needs into system enhancements and scalable solutions., • Configure and customize Salesforce functionality—including objects, fields, flows, security, page layouts, and user access—to support operational and fundraising requirements., • Perform data management and integrity activities, including imports, exports, audits, cleanup, deduplication, and ongoing maintenance of core data objects such as contacts, leads, campaigns, cases, reports, and dashboards., • Design, build, and distribute standard and advanced reports and dashboards to support internal decision‑making and external reporting needs., • Test system changes, resolve defects, and monitor platform performance to ensure stability, data quality, and reliability., • Drive continuous improvement by automating manual processes, enhancing support workflows, expanding self‑service capabilities, and recommending new Salesforce features and best practices., • Contribute to cross‑functional initiatives and strategic planning efforts, promoting adoption and effective use of Salesforce across fundraising, marketing, outreach, and volunteer management., • Participate in assigned team, departmental, and organizational meetings and events. Qualifications & Competencies • A minimum of 3 years of experience administrator experience with Salesforce, Raiser’s Edge, or an equivalent system required., • Salesforce Administrator certification preferred, • Experience in Marketing Cloud or strong SQL knowledge., • Able to design and develop business solutions leveraging Salesforce declarative programming and administration (custom objects, reports, workflows, assignment rules, flows), working with the stakeholders to define requirements, build, test, UAT, and implement., • Excellent communication and interpersonal skills, ability to communicate technical issues to a non-technical audience., • Strong customer service orientation., • Demonstrated commitment to data integrity and quality control., • Capacity to train staff in foundational data entry techniques and use of CRM tools to develop reports and create dashboards., • Previous experience working in a client-facing role., • Willingness to further enhance knowledge by taking Salesforce certification exams. Preferred Qualifications: • Salesforce Administrator certification preferred., • Experience in a nonprofit organization, particularly with NPSP or Nonprofit Cloud., • Knowledge of data migration tools and ETL processes., • General nonprofit experience, as well as commitment to the nonprofit sector. Additional Equal Employment Opportunity Ronald McDonald House New York believes that all employees are entitled to Equal Employment Opportunity. We do not discriminate against employees or applicants for employment because of race, color, creed, religion, sex, gender, age, marital status, national origin, sexual orientation, disability, veterans, citizenship status, or any other legally protected characteristic while meeting the mental and physical requirements for the role. Physical Demands The physical demands described herein are representative of those that must be met by an member to successfully perform the essential functions of this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Work for this role is performed mostly in office settings. Some outdoor work may be required., • This is largely a sedentary role; some filing is required. This would require the ability to lift files, open filing cabinets and bend or stand as necessary. The work environment characteristics described herein are representative of those an member encounters while performing the essential functions of this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • This role operates in an office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines., • The office for this role is located in the same facility where RMH-NY provides temporary accommodations to pediatric patients and their families while the patients are undergoing active medical treatment at area hospitals. For some RMH-NY guests, medical treatment may include radiation therapy. While radiation therapy is never administered at RMH-NY, there is the potential for some radioactive material to be present in guests who have undergone radiation therapy. Based on radiation measurements performed throughout RMH-NY, it is not expected that individuals working at RMH will receive radiation doses that would exceed the general public limit (100 millirem per year)., • The noise level in the work environment is moderate to loud. Noise levels often increase with families and children who have temporary residence in the building as well as guests and musical performers for special events., • This position requires flexible schedule at times to meet the needs of the families. Some weekends and evening hours are necessary. Travel • Some local/day travel will be necessary for the role., • This description is an overview or major duties, activities and responsibilities required for the role., • This description is not intended to be a complete listing of all tasks required for the role., • Responsibilities will change with the needs of the organization.

Job Description UNIVERSAL Technologies is seeking an experienced Oracle Fusion Reporting & Analytics Developer for an onsite role for the first 90 days in Long Island City, NY, may change to hybrid after. The right candidate will support enterprise-wide reporting, analytics, and data intelligence initiatives. This role is responsible for designing, developing, and modernizing reporting solutions across Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Oracle Analytics Server (OAS), Fusion Data Intelligence (FDI), and Autonomous Data Warehouse (ADW) while partnering closely with business stakeholders, data teams, and IT leadership. The ideal candidate brings strong SQL/PLSQL expertise, deep knowledge of Oracle Cloud reporting frameworks, and hands-on experience modernizing legacy EBS/OBIEE reporting into cloud platforms. ***Candidate must be able to work for UNIVERSAL Technologies directly. WHO WE ARE UNIVERSAL Technologies is a certified Women-Owned Business Enterprise (WBE/MWBE) IT consulting firm with over 20 years of experience providing top-tier technology talent and solutions to government and commercial clients. We specialize in delivering high-quality IT professionals across application development, infrastructure, cybersecurity, PMO, analytics, and emerging technology domains. WHAT WE OFFER UNIVERSAL Technologies offers competitive compensation, comprehensive benefits, career development opportunities, and the chance to support large-scale, mission-critical technology projects across New York and nationwide. MANDATORY SKILLS/EXPERIENCE • Bachelor’s degree in Computer Science, Information Systems, Business, or related technical field (or equivalent experience) Oracle Fusion & Cloud Reporting • 3+ years developing Oracle Transactional Business Intelligence analyses, dashboards, and reports, • 2+ years building advanced analytics and visualizations using Oracle Analytics Cloud (OAC), • 2+ years developing reports in Oracle Analytics Server (OAS), • 4+ years creating BI Publisher templates, layouts, and data models, • 2+ years working with Fusion Data Intelligence (FDI) subject areas, pipelines, and warehouse structures Database, Data Warehouse & Integration • 2+ years working with Oracle Autonomous Data Warehouse (ADW), including SQL tuning and data modeling, • 5+ years advanced SQL/PLSQL (packages, procedures, functions, triggers) using Oracle 19c/21c, • Strong understanding of dimensional modeling, star schemas, and data warehouse concepts, • Experience with ODI or similar ETL/integration tools preferred Legacy System Modernization • Knowledge of Oracle EBS data models and custom reporting, • Experience migrating OBIEE 12c reports/dashboards to Oracle Analytics Cloud (OAC)/ Oracle Transactional Business Intelligence (OTBI), • Proven ability to refactor and modernize legacy PL/SQL reporting, • Understanding of cloud migration methodologies Technical Expertise • Strong SQL/PLSQL optimization and performance tuning, • Experience with REST APIs/web services for data integration, • Familiarity with Git/SVN for version control, • Knowledge of Oracle Cloud Infrastructure fundamentals and cloud security/role-based access controls Soft Skills • Excellent verbal and written communication skills, • Strong ability to translate business requirements into technical reporting solutions, • Ability to support, train, and interface with business users, • Strong attention to detail and process-improvement mindset, • Ability to work independently and in cross-functional teams, • Experience working in Agile/Scrum environments Preferred (Nice-to-Have) • Oracle Cloud certifications (OAC, Fusion Apps, Autonomous Data Warehouse), • Experience with Oracle Integration Cloud (OIC), • Familiarity with Oracle ERP/HCM/SCM modules, • Experience with data governance or MDM, • Knowledge of AI/ML capabilities within Oracle Analytics Cloud (OAC), • Python or R for advanced analytics SCOPE OF SERVICES • Design, develop, and maintain reporting solutions across Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Oracle Analytics Server (OAS), Fusion Data Intelligence (FDI) and, BI Publisher, • Build dashboards, visualizations, and pixel-perfect reports for operational, regulatory, and analytical needs, • Develop, enhance, and optimize data models, schemas, subject areas, and pipelines supporting enterprise reporting, • Integrate and transform data across ADW, Fusion Cloud modules (ERP/HCM/SCM), and additional data sources, • Modernize legacy reports, PL/SQL code, and OBIEE dashboards for cloud-native architectures, • Conduct performance tuning, SQL optimization, caching strategies, and aggregation enhancements, • Support business analysts and end users with training, troubleshooting, and reporting best practices, • Document technical designs, data flows, migration paths, and reporting specifications, • Ensure audit readiness, compliance, version control, and adherence to change management processes, • Participate in Agile/Scrum ceremonies; provide status updates and manage work items using standard project tools, • Collaborate with IT, data governance, analytics, and application teams to ensure data quality, consistency, and compliance UNIVERSAL Technologies is an equal opportunity employer.

Job Description FIRM OVERVIEW BBR Partners is a boutique wealth management firm providing customized investment strategies and bespoke advice to high-net-worth individuals and families. Our clients are comprised of the brightest minds in the financial and investing worlds, entrepreneurs, business owners, leaders, and influential families who entrust us with the holistic care of their fiscal well-being. The firm was founded in early 2000 and for over 25 years has nurtured our culture with talented people from diverse backgrounds who care about each other, our clients, and our collective communities. In our quest for continuous improvement, we strive to develop not only world class talent, but world class humans! POSITION OVERVIEW BBR Partners is seeking a Data Engineer to contribute to the build-out and ongoing maintenance of our modern data infrastructure, which supports investment, research, and operations capabilities across the firm. This role focuses on building well-tested, business-ready datasets in dbt and Snowflake, translating financial domain logic from legacy systems into clean, documented models that serve teams across the firm. The ideal candidate has a solid technical foundation, an eagerness to grow, and direct experience working with data in the securities, wealth management, or financial services industry. RESPONSIBILITIES • Develop and maintain data models in dbt, implementing tests, documentation, and lineage tracking as standard practice., • Translate business logic from legacy SQL Server systems into clean, tested dbt models as part of ongoing platform modernization., • Build and optimize data pipelines that ingest, transform, and deliver investment, portfolio, and client data across the firm., • Build and optimize analytical datasets in Snowflake to support reporting and business intelligence., • Write and maintain Airflow DAGs, Python, SQL for scheduled and event-driven workflows, following CI/CD practices for deployment., • Collaborate across engineering, analytics, and business teams – integrating into a firm where everyone contributes beyond their lane., • Identify manual or fragile processes and build automated, sustainable replacements. Own problems end-to-end., • Implement monitoring and alerting (Datadog) to catch pipeline failures and data quality issues before they reach stakeholders., • 2-4+ years of experience in data engineering roles., • Required: Strong Python and SQL. Comfortable writing production code, not just notebooks., • Required: Experience with Snowflake or similar cloud warehouse. Working knowledge of SQL Server - able to read and reverse-engineer stored procedures, views, and legacy logic. Hands-on Airflow/Python ETL tooling preferred., • Required: Prior experience working with financial services data. Candidates must demonstrate meaningful exposure to relevant data domains such as securities identifiers (tickers, FIGI, CUSIPs, ISINs), client portfolios, positions and holdings, performance reporting, or fund operations. Experience at a wealth manager, asset manager, hedge fund, or market/alternative data provider strongly preferred., • Comfortable working autonomously with minimal direction. Proactive problem-solver who acts on gaps without waiting for assignment., • Experience with dimensional modeling and data warehouse design patterns., • Able to explain technical tradeoffs to non-technical stakeholders clearly and without jargon., • Opportunity to collaborate with accomplished colleagues in an entrepreneurial and fast-paced environment., • Competitive base salary and incentive compensation., • Company subsidized health, dental and vision insurance for employee, partner, and dependents., • 401K plan, Life insurance, and short & long-term disability coverage., • One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings., • Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care., • Personalized development and career opportunities., • Flexible time off, paid parental leave, and opportunity for Sabbatical with company tenure., • Hybrid remote work environment, "Work from Anywhere" weeks, and casual dress. We value and seek diversity of thought and equity of representation. The environment at BBR is inclusive of all, collaborative and endlessly curious. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionCompany Description OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Job Description Equinox is seeking a Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automationQualifications, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job Description JOB TITLE: Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements. Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. Requirements Essential Duties and Responsibilities: • Enhance and streamline data and pipeline architecture to improve data flow and collection., • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery., • Independently address the data requirements of multiple teams, systems, and products., • Refine or redesign Healthix’s data architecture to enable next‑generation products and data capabilities., • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare., • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence., • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders., • Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making., • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems., • Provide general reporting and project support across the organization., • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance., • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks., • Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams., • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset. Supervisory Responsibilities: • This job has no supervisory responsibilities. Qualifications: • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred., • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases., • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases., • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements., • Experience in building and optimizing big data pipelines, architectures, and data sets., • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities., • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management., • Working knowledge of message queuing, stream processing, and scalable big data stores., • Proficient in big data tools such as Hadoop, Spark, and Kafka., • Experience with relational SQL and NoSQL databases., • Strong programming skills with languages like Python, Java, C++, and Scala., • Ability to architect end-to-end ETL pipelines., • Experience with AWS services and BI tools like Tableau., • Strong quantitative, analytical, process development, facilitation, and organizational skills. SALARY: $90k-125k We’re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.

Job DescriptionSalary: At Derevo, we empower companies and people by unlocking the value of our clients data and enhancing the talent of those who transform it. With more than 15 years of experience, we design end-to-end Data & AI solutions: from integration into modern architectures to the implementation of intelligent models in key business processes. We are looking for aGCP Data Architect with more than 10 years of experience transforming complex data ecosystems into strategic business assets. Expert in designing and deploying enterprise-scale Data Warehousing solutions using the Google Cloud Platform (GCP) stack. The key differentiator for this role is the ability to act as a bridge between technology and business, translating KPIs and objectives from business leaders into robust, scalable, and results-oriented architectures. Core Technical Stack Expert / Strong command • Business-to-Tech Translation: Proven experience collaborating directly with C-Level executives and Business Directors to define requirements, manage expectations, and present technology roadmaps. Ability to lead technical discussions and negotiations., • Data Integration & Orchestration: Cloud Dataflow (Apache Beam for ETL/ELT + dbt) and Cloud Composer (Apache Airflow)., • Architecture Design: Design of data pipelines in both streaming and batch, ensuring high availability and minimal latency., • Data Warehousing: Google BigQuery (cost optimization, partitioning, clustering, and data modeling)., • Governance & DevOps: Data Catalog, IAM, CI/CD for data pipelines. Key Professional Competencies: Nice to have • Business Intelligence: Understanding of BI concepts and processes, with exposure to tools such as Tableau or Qlik., • Bilingual Communication: Full fluency in English required, Spanish is a plus. Your benefits with Derevo WELLNESS: We promote personal, professional, and financial well-being. LETS RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains. WE CREATE NEW THINGS Freedom and support to design innovative data solutions. WE GROW TOGETHER Participation in cutting-edge, multinational technology projects with diverse teams. Where will you do it? Hybrid model, working 2 to 3 days per week from our offices in New Jersey (07302). If you meet most of the requirements and are interested in the challenge, apply! Our Talent Acquisition team will contact you. Become a Derevian and develop your superpower

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

Job Description Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (3 days in office /2 days remote) About your Team: The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise. What will be your responsibilities within IBKR: · Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases · Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads · Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing · Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video) · Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems · Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation · Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality · Write clean, maintainable, well-tested code following software engineering and data engineering best practices · Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities What required skill's you need: · 6+ years of hands-on data engineering experience with modern data stack technologies · Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda · Proficiency in Python for data processing, ETL, and application development · Experience with PySpark on EMR for large-scale data processing · Strong SQL skills for data analysis and transformation · Experience building and maintaining ETL/ELT pipelines at scale · Experience with Kafka for streaming data pipelines and real-time data processing · Knowledge of data lake architectures and modern table formats (e.g., Iceberg) · Experience with CI/CD practices using Git, version control systems, and containerization (Docker) · Understanding of data modeling, data warehousing concepts, and analytics best practices · Exceptional problem-solving and analytical skills · Excellent collaboration and communication (verbal and written) skills · Self-motivated with ability to work independently and manage multiple priorities · Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills.Company Benefits & Perks, • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups The anticipated base salary range for this role is $150,000 to $200,000 per year, based on skills, experience, and location. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and a stock award, as well as a wide range of benefits, including healthcare, tuition reimbursement, and more.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models.. RESPONSIBILITIES: • MDM Strategy & Architecture, • Lead the design and implementation of MDM solutions for Commercial domains such as HCP, HCO, Affiliation, Product, Territory, and Customer hierarchies, • Define golden record strategy, survivorship rules, match/merge logic, and data stewardship workflows, • Establish MDM reference architecture aligned to enterprise data strategy and regulatory requirements, • Informatica MDM & ETL Delivery, • Configure and manage Informatica MDM (Multidomain or Customer 360) including: Data models, match rules, trust frameworks, and hierarchies, • Design and develop ETL/ELT pipelines using Informatica PowerCenter / IICS (or equivalent) to ingest data from multiple internal and external sources (e.g., IQVIA, OneKey, CRM, ERP), • Ensure performance, scalability, and data quality across large-scale datasets, • Data Quality & Governance, • Define and enforce data quality rules, KPIs, and exception handling, • Partner with business and data governance teams to operationalize data stewardship models, • Commercial Pharma Domain Leadership, • Act as a subject matter expert for Commercial master data:, • HCP/HCO identity resolution, • Affiliations and hierarchies, • Specialty, address, and territory alignment concepts, • Collaborate with Sales Ops, Marketing Ops, Market Access, and Analytics teams to translate business requirements into scalable MDM solutions, • Leadership & Stakeholder Management, • Lead onshore/offshore delivery teams and review technical designs and code, • Engage senior stakeholders to align data standards, priorities, and roadmap, • 8-10+ years of hands-on experience in MDM implementations within Life Sciences / Pharma, • Strong expertise in Informatica MDM (Customer 360 / Multidomain), • Strong experience designing and building ETL pipelines using Informatica or equivalent tools Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capnexus is looking for a highly skilled Senior AWS Data Engineer to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows. Responsibilities: • Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery & Design phase., • Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform., • Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data., • Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents., • Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting., • Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets., • Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines., • Develop and expose data through Amazon API Gateway to support application and dashboard consumption., • Ensure data quality, validation, and integrity across all integration points and pipeline outputs., • Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features., • Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows., • Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides. Qualifications: • 5+ years of data engineering experience, with at least 2+ years working in AWS cloud environments., • Strong proficiency in SQL and experience with AWS database services including RDS, DynamoDB, and Aurora., • Hands-on experience with AWS Glue for ETL development and data pipeline orchestration., • Experience integrating with ERP systems or enterprise APIs, with ability to assess and document API capabilities., • Working knowledge of Amazon Textract for automated document data extraction., • Proficiency with Amazon S3 for data lake design, storage management, and lifecycle policies., • Experience with AWS Lambda and AWS Step Functions for serverless data workflow orchestration., • Solid understanding of data modeling, data quality validation, and integration testing practices., • Familiarity with Amazon API Gateway for exposing data services to downstream consumers., • Strong analytical, problem-solving, and communication skills with the ability to work in Agile/Scrum teams. Nice to Have: • Experience with Amazon Bedrock or AI/ML-integrated data pipelines., • Familiarity with CMIC ERP or similar construction industry enterprise resource planning systems., • Experience with GraphQL APIs or AWS AppSync., • Knowledge of TypeScript or Python for pipeline scripting and Lambda function development., • AWS Certification (Data Analytics Specialty, Database Specialty, or Solutions Architect)., • Background in construction, insurance, or financial services industries. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: "A Customer Obsessed, Delivery Focused, Culture" • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: Job Type: Full-time, 1099 Duration: Short-term Benefits: • Remote work Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job DescriptionWhat to know We're looking for a Director of Analytics to lead and evolve our data practice at a pivotal moment — for Blue State, for our clients, and for the nonprofit and advocacy sector. Philanthropy and civic engagement are being reshaped by new technologies and shifting donor behaviors, and this person will help us navigate that with clarity, rigor, and creativity. You'll lead a team of talented analysts, actively coaching and developing them while staying hands-on in client work. You're as comfortable commanding a room with C-suite clients as you are in the weeds of a measurement framework, and you know how to make data feel like strategy rather than reporting. You work fluidly across engineering, strategy, paid media, and account teams to build integrated solutions. You're self-sufficient, you develop new tools and frameworks that push our offerings forward, and you're genuinely excited about what AI and emerging technologies can bring to analytics work. Above all, you understand not just how to measure programs, but why those choices matter for organizations trying to grow revenue, deepen supporter relationships, and create lasting impact. If that's you, we'd love to hear from you. The company Blue State is a purpose-driven agency. We partner with leading causes, brands, and campaigns and create real change. From AARP and Doctors Without Borders to Amnesty International and Oxfam, we transform how brands and causes raise money, influence policy, build platforms, and grow communities of supporters. Led by the most creative and analytical minds from the political, nonprofit, and brand worlds, Blue State is an independent agency in the US and London. The team We are a passionate group of people who are both thinkers and doers. We bring a people-first, data-driven mindset to all of our work. Ultimately, we're about real impact for real people, partnering with brands, nonprofits, and political organizations to drive progress. For us, this isn't just work. Everything we do is connected to something we care about and we're seeking an individual willing to work tirelessly to create positive change in the world. A day in the life • Manage and mentor a team of analysts, working with individuals to craft goals and professional development plans, providing regular feedback and guidance, addressing training and onboarding needs, and conducting annual performance reviews., • Set a vision for the smart use of data to improve outcomes for our clients., • Chart a path for team growth, including but not limited to: quality of work, staffing and hiring, cross-team integration, team goals and utilization, and identification of product and project opportunities., • Foster a team culture grounded in collaboration and enthusiasm., • Contribute to a portfolio of clients and projects, providing strategic leadership and expertise in driving data strategy across multiple touch points., • Help pursue new business and maintain the health of existing accounts. Assist with regular development and review of pitches and proposals., • Develop scalable industry best practices and product offerings for the Analytics Team and across departments., • Drive cross-client and company-wide innovation as well as strategic, programmatic, and procedural improvements., • Drive understanding of how analytics programs fit into broader programs, and pursue a commitment to improving ROI for our clients by working closely with other teams to ensure that all pieces are moving together to accomplish client goals., • Develop and deliver effective and persuasive presentations demonstrating the value of our work for client teams, business development, and partners. Uncover core insights from data., • Speak publicly on behalf of the company at events, in publication, and in the media.What we offer, • Unlimited time-off (inclusive of sick, personal, and vacation days), • $1,250 annually in professional development funds, • Competitive health, dental, and vision insurance, • Flexible and health savings accounts, • 401K & employer match, • Generous paid holiday schedule, • 12-week fully-paid parental leave for all parents-to-be, • Short-term and long-term disability insurance, • Pre-tax commuter benefits The salary range for this position is $125,000-$150,000; compensation will be commensurate with experience. Some things we're looking for • 9+ years of experience in digital analytics with direct experience working with CRM data, paid media analytics, web analytics suites such as Google Analytics, A/B testing solutions such as Optimizely (or equivalent), and data analysis in Excel or Google Sheets. Experience in mass marketing with fundraising, advocacy, or ecommerce preferred. Experience with digital martech is a plus!, • You are an expert in SQL, and feel comfortable managing, optimizing, and troubleshooting in a data warehouse environment, such as BigQuery or Snowflake. The ideal candidate will have experience in data modeling, familiarity with ETL processes, and deep expertise in leveraging large datasets to enable strategic decision-making., • Strong people and team management skills. You are able to identify and solve issues, and escalate when appropriate. You resolve conflicts constructively. You proactively identify and communicate growth goals for yourself and others. You are an exceptional listener. You build teams with a recognizable culture of cooperation., • You stay at the forefront of AI and emerging technologies and their application to marketing analytics work — experimenting with new tools, developing a point of view on where they add genuine value, and building team fluency and confidence with them over time., • Brings an informed perspective on the nonprofit and advocacy sector — understanding the pressures, opportunities, and structural shifts shaping philanthropy and civic engagement today, and translating that context into smarter measurement strategies and more relevant client counsel., • Excellent communication skills. Ability to interact with all levels of end users, including executive leadership and day-to-day practitioners, and colleagues from across departments.., • Strong collaborator and relationship builder., • Ability to adapt to new situations, solve problems on the fly, stay organized, and clearly communicate with those around you. Teamwork and scrappiness required., • A shared passion and curiosity for making change. This includes comfort with ambiguity, a restlessness that resists the status quo, and a commitment to quality that ensures we're always making progress. Blue State is committed to creating an inclusive and accessible application and interview process. If you would like to request a reasonable accommodation for a disability, including the use of AI tools throughout the hiring process, please contact us at with the subject line: Accommodation Request to get started. Your privacy is important to us. You can find out more information on how we handle your data for recruiting purposes in our Privacy Policy for Recruitment.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Data Engineer in our New York City office. About the Role: As a Senior Engineer on the Data Products team, you will expand Applecart's data-mining capabilities to uncover deeper and more impactful connections within decision-maker networks. In this role, you'll work on ETL pipelines, APIs, and algorithms within a service-oriented architecture, helping to drive the team's technical evolution. You'll be part of a colocated, hybrid-remote group of collaborative engineers focused on delivering business value continuously. Together, you will own and enhance integrations with external APIs, large-scale batch data processing pipelines, and network-building algorithms, while contributing to the design and development of a centralized data Lakehouse architecture. As a senior team member, you'll collaborate closely with Product and Technology leadership to shape the future direction of Applecart's technology. Who You Are: You are a veteran software developer specialized in large scale data engineering. You have a long track record delivering products and collaborating with Product managers. You help define and evangelize coding best practices and enjoy coaching less experienced team members. Experiences and Capabilities You Bring: • You have 6+ years of professional software development experience, • You have strong computer science fundamentals, • You have designed and implemented scalable data processing pipelines, • You have worked with all types of storage/persistence engines, and know their applications: relational databases, document databases, key/value stores, etc…, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You are familiar with Lakehouse architecture and open file format (e.g. Apache Iceberg, Apache Hudi, Delta, etc), • You are a SQL expert, • You have experience with distributed computing and know the strengths/weaknesses of different frameworks (should include Apache Spark), • You manage AWS resources using infrastructure-as-code Relocation assistance is not available for this position. Candidates must be based in or willing to relocate to the area independently. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000-$200,000, based on the candidate's experience and skills relative to the requirements above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionSr. Data Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Data Engineer | Early Hire Location: New York, NY (Hybrid) Salary: $150-300k Headquartered in New York, we are a booming healthtech software start-up building an AInative physical care platform, starting with home health, to remove the massive administrative waste that drags down US healthcare. Our AI automates backoffice work, letting us serve patients who currently go untreated while operating with meaningfully higher margins than traditional providers. We’ve brought together top AI talent (from leading tech and quantitative firms) and experienced healthcare operators to deliver care at the speed and scale of an AI company. Due to growth and demand for our product, we are urgently looking for Data Engineers to join the team! What You'll Do • Design, build, and maintain endtoend ETL/ELT pipelines that move data from source systems all the way through to analyticsready models., • Own and evolve our modern data stack—including tools like Airflow, dbt, and Snowflake—with a focus on reliability, observability, and costefficiency., • Architect and maintain data platform and infrastructure components (orchestration, environments, CI/CD, monitoring) to keep everything running smoothly in production., • Proven experience as a Data Engineer owning endtoend data pipelines and platforms, rather than primarily analytics or BI/reporting work., • Strong SQL skills and proficiency in Python (or a similar language) for building and maintaining production data workflows., • Handson experience with Airflow (or similar orchestrators), dbt, and Snowflake (or equivalent cloud data warehouses)., • A track record of building and operating productiongrade data infrastructure in highgrowth environments (e.g., fastscaling startups or similarly dynamic settings)., • Clear signals of excellence and high trajectory—such as toptier academic background, impactful work at highgrowth companies, or rapid scope increases over your career., • A thoughtful approach to data modeling (e.g., dimensional/Star schemas) and working with semistructured data (JSON, APIs, event streams)., • Familiarity or interest in healthcare data (claims, clinical data, HL7/FHIR, EHR data) and its nuances., • Competitive base salary ($150-300k DOE), • Equity, • Comprehensive benefits package (Medical, Dental, Vision), • Flexible hybrid schedule, • Real ownership in a high-growth and cutting-edge environment, • High exposure, working closely with leadership, • Opportunity for growth: fast-track path to a strategic decision-making role for interested candidates, • Fun, professional, and innovative company culture

The position offers competitive compensation and opportunities for professional development, as well as a collective commitment to innovation within the fintech industry.

Key responsibilities include structuring and ingesting datasets, writing Python scripts for data manipulation, and setting up ETL pipelines.

A leading tech company in New York is looking for a Database Architect with 12–15 years of ETL development experience.

Job DescriptionDescription: Location: Flexible / Multi-Location Travel: 10–20% as needed Reports To: CIO We are hiring a Manager, Data & Analytics Engineering to build and scale the data infrastructure that powers analytics and decision-making across a multi-location home services platform. This is a hands-on technical leadership role responsible for integrating data across systems, building scalable data pipelines, and ensuring data is accurate, accessible, and structured for business use. You will partner closely with leadership to enable consistent reporting and drive revenue insights across operating companies. Requirements: Data Architecture & Engineering • Design and maintain scalable data architecture across multiple business units, • Build and manage ETL/ELT pipelines across CRM, marketing, finance, and operations systems, • Develop and maintain centralized data warehouse solutions (Snowflake, Redshift, etc.), • Structure datasets to support reporting, analytics, and business intelligence Data Integration & Systems, • Integrate data across systems (Salesforce, NetSuite, marketing platforms, field systems), • Develop unified data models to support cross-company reporting, • Automate data ingestion, transformation, and workflows, • Ensure reliable, consistent data flow across systems Data Quality & Governance, • Establish and maintain data definitions and KPI logic, • Ensure data accuracy, consistency, and completeness, • Monitor data quality and resolve discrepancies, • Standardize reporting metrics across operating companies Analytics Enablement, • Build and maintain data models to support BI tools (Sigma, Tableau, Power BI), • Enable self-service analytics by improving data accessibility, • Partner with analytics and business leaders to support reporting needs Automation & Scalability, • Automate data workflows using SQL and modern data tools, • Reduce manual reporting and data reconciliation, • Scalable, reliable data models supporting revenue analytics, • Consistent KPI definitions across operating companies, • Reduced manual reporting and improved efficiency, • 5–8+ years in data engineering, analytics engineering, or related roles, • Experience building data pipelines and integrating multiple data sources, • Experience in multi-location or multi-entity environments preferred, • Bachelor’s degree in Computer Science, Engineering, Analytics, or related field (or equivalent experience) Technical Skills, • Advanced SQL (required), • Data modeling and data architecture, • ETL/ELT tools (Fivetran, Stitch, or similar), • Data warehousing (Snowflake, Redshift, or similar), • dbt (Data Build Tool), • Cloud platforms (AWS preferred), • BI tools (Sigma, Tableau, Power BI), • Python (preferred), • Version control (GitHub or similar) Systems Experience, • Salesforce, • NetSuite, • Strong technical builder who can design and scale data systems, • Detail-oriented with high standards for data accuracy, • Ability to translate business needs into technical solutions, • Comfortable in a fast-paced, growth-oriented environment, • High-impact role supporting revenue and business performance, • Opportunity to build and scale data infrastructure from the ground up, • Exposure to executive leadership and strategic initiatives, • Fast-growing, multi-entity platform environment

Job Description SMASH, Who we are? We believe in long-lasting relationships with our talent. We invest time getting to know them and understanding what they seek as their professional next step. We aim to find the perfect match. As agents, we pair our talent with our US clients, not only by their technical skills but as a cultural fit. Our core competency is to find the right talent fast. This role is based in New York City, NY, with a requirement of 3 days per week onsite. You must have U.S. citizenship or a valid U.S. work permit to apply for this role. Role summary You will bridge business intake and technical execution by designing end-to-end data platform solutions on Google Cloud Platform (GCP). This role translates product and business requirements into scalable, secure, and production-ready architectures that enable delivery teams to execute with clarity and confidence. Responsibilities * Translate business and product requirements into comprehensive GCP-based technical architectures. * Design enterprise-scale data platforms, including ingestion, transformation, storage, and analytics layers. * Lead end-to-end data pipeline migrations into GCP environments. * Architect landing zones, IAM structures, networking, and security models in GCP. * Define governance frameworks including lineage, metadata, data quality, and monitoring standards. * Design reliable, scalable, and performance-optimized data ecosystems. * Partner with stakeholders to clarify scope, constraints, and trade-offs. * Provide technical guidance to delivery teams for implementation readiness. * Evaluate integration patterns and enterprise data flows across multiple systems. * Contribute to best practices for enterprise ETL and data engineering modernization. Requirements – Must-haves * 5–7 years of experience in enterprise-scale data platform architecture. * 2–3+ years of hands-on experience with GCP data platforms. * Proven experience leading at least two end-to-end GCP data pipeline implementations or migrations. * Strong understanding of GCP landing zones, IAM, networking, and security models. * Expertise in enterprise ETL and data engineering from diverse data sources into GCP. * Deep knowledge of data ecosystem concepts (pipelines, integration patterns, lineage, metadata, data quality, monitoring). * Ability to architect holistically across governance, reliability, performance, scalability, and security. * Experience working in complex enterprise or consulting environments. * Strong communication skills to bridge technical and non-technical stakeholders. Nice-to-haves (optional) * Experience working directly with Google Cloud or prior Google employment. * Experience building data platforms from zero to production-ready environments. * Multi-cloud knowledge (AWS or Azure) to translate architectural patterns. * Domain-specific data solution experience. Powered by JazzHR QNOoHDQdnd

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job Description * Candidate will be allowed to work remotely. No work outside the United States is allowed. Candidate must work EST business hours. Our direct client has an opening for a Sr Rhapsody Developer # 9656. This position is for 12+ months, with option of extension, and will be worked remote. Candidate work EST business hours. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Below is the job description – Resumes due ASAP – Required Skills 5+ YEARS V6+ Rhapsody Integration Engine 5+ YEARS Symphonia Mapping Language (SML) 5+ YEARS HL7 (SUCH AS V 2.3.1 - 2.5.1; ORU & ORM MESSAGE TYPES) 2+ YEARS XML / XSD / XPATH 3+ YEARS SQL Advanced Join Statements 5+ YEARS JAVASCRIPT 2+ YEARS SOAP Web Services Desired Skills Windows OS Server Administration Public Health / Disease Surveillance SystemS / LIMS Experience EXCEL / VBA MACROS / Automate & Flow LOINC / SNOMED DEVOPS/JIRA REDCAP FASTQ Files and Demultiplexing Rhapsody Certification - list specific certification on resume Additional Skills • Ability to establish positive working relationships with technical staff, Customers and others involved in data-centric management., • Excellent written, oral, and interpersonal communication skills, • Experience with security and data classification related to CDC, HIPAA, and CJIS, • Critical thinking and problem resolution skills, • Ability to deal effectively with the needs of technical peers, technical and user management, users, vendors, and staff members, and to communicate, • Large scale integration and design in healthcare environment Description: The candidate must be able to independently research and design processes, create specifications, develop, lead testing, perform code reviews, actively engage with the team and stakeholders, attend meetings, provide guidance, and respond promptly. Participate in a team comprised of DPH and solution implementation staff for Systems Integration related planning, design, configuration, and conversion / rewrite of existing processes, code, and functionality in/into the Rhapsody Environment. Will coordinate with assigned IT Section Manager and Team Lead on daily assignments / tasks. Will coordinate and collaborate with contract and vendor staff as well as existing DPH staff and other IT professionals working with the Office of Information Technology. Ensure assignments are completed accurately and on-time, assist with problem resolution, mitigate issues, provide solutions, communicate, and escalate as needed to management, and report progress to manager. Will advise Staff on code conversions, route and configuration changes and enhancements, process improvements, software updates and maintenance. Work with vendors and staff on deliverables, troubleshooting and conversion of current processes to Rhapsody. Includes rewriting existing solutions to conform to best practices and updated coding standards and to improve efficiency, performance, and maintenance. Ideally this position would serve as the IT lead for this project managing the project work, communications, and customer expectations. Specific duties and responsibilities will include but are not limited to the following: • Prepare and maintain system documentation and architecture diagrams for processes assigned (new and existing). Work with end users to perform gap analysis, gather and document functional requirements, and create necessary processes • Assist with project and time management including estimates and status reporting, • Ability to plan, organize, review, implement associated project milestones to completion., • Process Development, Process Automation, and ETL Solutions, • SQL query creation and validation to include advanced joins, • Perform complex programming functions, assistance, and technical advice including design architecture, configuration, writing, testing, and documentation to complex programming of agency computer systems as assigned. • Create new and update existing Rhapsody routes to handle new data elements and formats creating the necessary output for upload into testing, lab, and surveillance systems as well as report to the CDC • Transformation of multiple formats (xml, csv, SOAP, HL7, etc.) in Rhapsody with Symphonia and Javascript (ECMA/E4X), • Formatting data into Conduent Maven Integration Format (MIF) for import into the Disease Surveillance System, • Utilize webservice calls to and from Rhapsody parsing request/response data, • Monitor routes and production processing to ensure proper data flow and response times using Rhapsody Web Management Console and other tools, • Help to perform and automate daily maintenance processes, • Debug, troubleshoot, and optimize new and existing processes., • Resolve processing issues., • Correct and reprocess errors, • Advise on monitoring practices, thresholds, and notifications, • Support Rhapsody upgrades and new environment configuration, • Ensure maximum system uptime for critical components to ensure business continuity., • Assist with data migrations and database migration related code changes, testing, and validation, • Review existing code for rewrite into Rhapsody routes., • Perform / participate in code reviews for authored, team written, and vendor suggested changes and implement reviewed changes into Production, • Advise the team on best practice and techniques. Mentor technical team on advanced topics., • Assist the team, DPH staff, and vendors to onboard providers and partners to utilize Rhapsody supported services like HL7 electronic lab reporting (ELR), electronic test orders and resulting (ETOR), electronic case reporting (eCR), and Interpartner data sharing. • Modification / rewrite of existing processes and creation of new processes to be compliant with agency security requirements and following industry best standards

Job DescriptionCompany Description At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO Job Description We are seeking a OneTick Implementation Engineer to implement, deploy, and operate high‑performance analytics and surveillance solutions for clients. The role sits at the intersection of platform engineering, data workflows, and client delivery, supporting both cloud‑hosted and customer‑managed environments. You will work on technically demanding projects for financial institutions, market infrastructure providers, regulators, and quantitative trading firms, collaborating closely with internal product teams and external client stakeholders. Most implementations are cloud‑based, with increasing use of containerised and orchestrated environments. Key Responsibilities Platform Implementation & Operations • Implement, deploy, and support OneTick solutions across cloud and client environments, • Contribute to the design and maintenance of scalable, resilient infrastructure for analytics and surveillance workloads, • Build and maintain efficient data ingestion, transformation, and loading workflows, • Implement batch and streaming workflows to support analytics and monitoring use cases, • Configure and customize OneTick deployments to meet client‑specific business and regulatory requirements, • Develop client‑specific extensions and integrations on top of standard products, • Monitor production environments, identify issues, and troubleshoot failures, • Partner with product engineering teams to resolve defects and implement improvements, • Communicate effectively with customers on technical and implementation‑related topics, • Participate in Agile delivery models, contributing across the full implementation lifecycle, • Support knowledge transfer and training for client users and internal teamsQualifications, • Experience delivering production analytics, surveillance, or market data platforms, • Strong programming experience in Python or a comparable language, • Solid understanding of data workflows, ETL processes, and distributed systems concepts, • Confidence working in Linux/Unix environments, • Experience writing unit tests and working with structured testing practices, • Familiarity with containerised or orchestrated environments (e.g. Kubernetes), • Comfortable working in client‑facing roles, explaining technical concepts clearly, • Direct experience with OneTick implementations or operations, • Exposure to cloud‑native architectures (preferably AWS), • Experience with workflow orchestration, monitoring, or alerting tools, • Background in financial markets, trade surveillance, regulatory analytics, or quantitative data platforms, • Experience working under security, regulatory, or data‑privacy constraints Additional Information A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

Job DescriptionSamba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel. Own the global Sales Engineering function that powers Samba’s enterprise growth. Set strategy, lead a high-performing team, and turn complex data and measurement products into clear business value for C-suite buyers.What You'll Own • Strategy & Ops: Define SE charter, org design, coverage model, and annual plan. Manage headcount, budget, and capacity., • Leadership: Hire, develop, and lead managers and senior ICs across regions. Build career ladders and coaching rhythms., • Revenue Impact: Lift win rate, shorten cycles, and raise ACV. Run value engineering, ROI models, and deal reviews., • Standards & Quality: Ship reference architectures and solution patterns for activation, measurement, tune-in, and outcomes., • Governance: Oversee security, privacy, and clean-room standards. Partner with Legal/InfoSec on enterprise diligence., • Exec Selling: Lead C-suite workshops and POVs. Navigate procurement and complex redlines with clear trade-offs., • GTM Alignment: Shape pricing/packaging, partner strategy, and lighthouse plays with Sales, Product, and Marketing., • Roadmap Influence: Translate field signals into product bets with Product and Data Science; validate through POCs., • Enablement at Scale: Build discovery guides, objection handling, demo paths, and certification for AEs/CSMs., • Ecosystem: Deep alignment with clouds, clean rooms, CDPs/DSPs, and data partners to unlock scale.What You'll Do, • Own SE pipeline influence and forecast hygiene; run stage-gates and technical close plans., • Lead executive narratives on TV measurement, tune-in, planning, and outcomes., • Ensure smooth integrations (APIs, clean rooms, SQL/ETL, AWS/Azure/GCP)., • Partner with CS on handoffs and time-to-value; reduce post-sale risk., • Represent Samba at industry events and with strategic accounts.Who You Are, • 12-15+ years in AdTech/MarTech/Measurement; 5+ years leading managers., • Track record influencing $20M+ ARR and closing complex enterprise deals., • Fluent in measurement frameworks, clean rooms, identity, and TV outcomes., • Working knowledge of APIs, SQL, ETL, and major clouds., • Crisp communicator with strong executive presence and negotiation skills., • Builder’s mindset. Scales teams, process, and quality., • Trusted partner to Sales; decisive, data-driven, and calm under pressure., • High empathy for clients; simplifies the complex., • Bachelor’s degree required; Master’s is preferred #LI-AH1Samba expects to offer a base salary between $200,000 - $225,000 per year for roles to be performed in New York or California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba’s total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Strong expertise in Informatica PowerCenter, Teradata, SQL Server, Azure Synapse, and Azure Data Factory. Implement ETL processes using Informatica PowerCenter and optimize performance across Teradata, Azure Synapse, and SQL Server environments. Develop and maintain Azure Data Factory (ADF) pipeline

Job DescriptionData Engineer Healthcare AI Platform | Data Infrastructure | New York Hybrid About the Company We are representing a high-growth AI startup building infrastructure to automate complex administrative workflows in healthcare. The company is creating an AI-native platform that integrates with provider systems and helps automate areas such as insurance verification, prior authorization, billing, intake, revenue cycle operations, and clinical workflow support. This is a rare opportunity for a data engineer to build core data infrastructure from the ground up in a complex, high-impact domain where clean data, reliable pipelines, and operational visibility directly shape product and business decisions. The Role We are looking for a Data Engineer to build the data infrastructure powering analytics, business intelligence, operational monitoring, and AI-driven decision-making across a healthcare automation platform. You will design and maintain data pipelines, integrate fragmented healthcare and operational data sources, model complex workflows into clean data structures, and create the analytics foundation that helps the company measure, monitor, and optimize its systems. This role is ideal for someone who enjoys owning the full data stack: ingestion, transformation, modeling, analytics, alerting, and infrastructure decisions. Over time, you will have the opportunity to take end-to-end ownership of the data platform and shape the technical direction of the company's data architecture. What You'll Do Design, build, and maintain reliable data pipelines across internal systems, third-party APIs, and healthcare data sources. Integrate complex data sources such as operational systems, healthcare records, billing workflows, claims-related data, and external feeds. Build clean, scalable data models for revenue cycle workflows, intake operations, clinical processes, and business reporting. Develop analytics-ready schemas that support dashboards, reporting, monitoring, and operational decision-making. Build dashboards, alerts, and analytical tools to identify automation opportunities and operational bottlenecks. Support product, engineering, operations, and leadership teams with high-quality data infrastructure. Contribute to the technical direction of the business intelligence and data platform. Improve data quality, reliability, observability, and performance across the stack. Help create the foundation for AI/ML-driven workflows, analytics, and automation. What We're Looking For 3+ years of experience building and maintaining production data pipelines, warehouses, and analytics infrastructure. Strong SQL skills. Experience with at least one modern data warehouse or lakehouse such as Databricks, Redshift, Snowflake, BigQuery, or similar. Experience with relational databases such as Postgres or MySQL. Experience building ETL or ELT pipelines using tools such as Airflow, dbt, Dagster, or similar orchestration frameworks. Comfort working across the full data lifecycle, from raw ingestion through analytics-ready models. Ability to model complex operational domains into clean, queryable schemas. Comfort with exploratory analysis, statistical thinking, and analytical problem-solving. Experience using Python or R for data analysis. Strong communication skills and ability to explain technical data concepts to non-technical stakeholders. Ability to partner effectively with product, engineering, and operational teams. High ownership, detail orientation, and comfort operating in a fast-paced startup environment. Nice to Have Experience in healthcare technology or healthcare operations. Familiarity with healthcare data standards or data types such as EDI, HL7, FHIR, claims data, clinical documentation, or provider workflows. Experience with real-time or streaming data pipelines. Background in data science, machine learning, or feature engineering for AI/ML systems. Exposure to BI tools such as Hex, Sigma, or similar. Experience working in a high-growth startup or scale-up environment. Familiarity with cloud infrastructure and tooling such as AWS, Terraform, or similar. Why This Role Is Exciting You will build foundational data infrastructure rather than simply maintain legacy systems. Your work will directly shape how an AI healthcare platform measures and improves operations. You will work with complex, messy, high-value healthcare data. You will partner closely with product, engineering, and operations rather than sit in a silo. You will have the opportunity to define the long-term data architecture for a fast-scaling platform. You will help create analytics and automation systems that reduce administrative waste in healthcare. Work Model Full-time role. Hybrid in New York, with regular in-office collaboration expected. Visa sponsorship is not available for this position.

Job Description This job is hybrid in Newark, NJ Our direct client has an opening for Oracle Fusion Cloud Techno-Functional Consultant 778268 This position is for 6 months, with the option of extension, and is the client is located in Newark, NJ WE CAN WORK CORP TO CORP OR W2. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Oracle Cloud Upgrade and or Cloud Migration Required 7 Years Proficiency in tools such as OTBI, FRS, Smart View, and Oracle Data Integrator (ODI) or similar ETL tools. Required 7 Years Oracle Certified Implementation Specialist – Oracle Cloud PPM or Financials. Required 7 Years Experience with Oracle Integration Cloud (OIC) or similar middleware for real-time integrations. Required 7 Years

Job DescriptionAbout the RoleWe are seeking a Data Product Manager to lead and manage a portfolio of 3–5 enterprise data products. This role is ideal for someone with deep experience in data technologies, data governance, and analytics, combined with a strong understanding of core banking processes. You will serve as the strategic owner of data products, ensuring they meet business needs, drive insights, and support compliance and operational excellence.As a senior leader, you will work closely with business stakeholders, data engineers, data architects, and analytics teams to deliver high-quality, governed, and scalable data products. You will also help define the vision, roadmap, and lifecycle management of these products in alignment with the bank’s enterprise data strategy.Key ResponsibilitiesProduct Ownership & Strategy· Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.· Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.· Define and track key product success metrics and adoption KPIs.· Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.Stakeholder Engagement· Act as the primary liaison between business stakeholders and data engineering/analytics teams.· Gather and translate business requirements into actionable data product specifications.· Facilitate cross-functional collaboration to resolve trade-offs and dependencies.Data Governance & Quality· Ensure data products comply with regulatory, security, and privacy requirements.· Define and enforce data quality standards, lineage, and observability metrics.· Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.Technical Leadership· Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).· Collaborate with data engineering teams on architecture, modeling, and platform decisions.· Evaluate emerging technologies and recommend innovations to improve data products and processes.Execution & Delivery· Drive delivery of data products using agile methodologies.· Prioritize backlog, manage sprints, and ensure timely delivery of features.· Monitor and measure product performance, adoption, and business impact.Thought Leadership· Contribute to the overall data product management framework and best practices within the bank.· Promote a culture of data-driven decision-making and product-centric thinking.Required Qualifications· 8+ years of experience in data product management, data strategy, or analytics roles; experience in banking/financial services preferred.· Strong understanding of core banking products (e.g., deposits, loans, payments) and associated operational data flows.· Solid knowledge of data architecture, warehousing, BI, analytics, and cloud platforms.· Proven ability to manage multiple data products simultaneously.· Excellent communication, stakeholder management, and leadership skills.· Experience with Agile/Scrum methodologies and data governance frameworks.· Bachelor’s degree in Computer Science, Information Systems, Finance, or related field; advanced degree preferred.Preferred Qualifications· Hands-on experience with HiveQL, SQL, Tableau· Understanding of regulatory reporting requirements (e.g., CCAR, FR Y-14, Basel).· Exposure to semantic layers, or enterprise data product management frameworks.

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. We are looking for an Sr. Database Administrator who has hands-on experience designing and administering cloud-based Database systems. Additionally, this engineer will be responsible for ensuring the reliability and efficiency of the data infrastructure, including maintenance, upgrades, monitoring, performance tuning, scaling, and query optimization. Our user base is currently doubling annually, and you would share the responsibility of orchestrating a reliable, sustainable, and scalable infrastructure. What you will do: • Manage and maintain our PostgreSQL, DynamoDB and Athena databases running on AWS Cloud, ensuring high availability and reliability., • Monitor the performance and overall health of our databases, proactively identifying and resolving the issues., • Design and implement growth strategies for our databases, ensuring they can handle the rapidly increasing demands of our organization., • Develop, implement and maintain very high security standards to protect our highly sensitive PHI data from both external and internal threats., • Ensure compliance with various database privacy regulations and frameworks like HIPAA, SOC2 etc., • Design and implement Business Continuity Plan(BCP) and Disaster Recovery(DR) Plan., • Develop and maintain a pipeline to restore anonymized data from production to the lower environments., • Work closely with the security team to develop comprehensive risk analysis and response for data infrastructure., • Collaborate with development, architecture, and release teams providing architectural design recommendations to effectively adapt the database environment to support new platform features and capabilities., • Work closely with the Data Engineering team to build, maintain and troubleshoot ETL jobs for downstream applications., • 5+ years of experience in Database Administration., • BS or advanced degree in computer science or other related field., • Experience working and managing SQL and NoSQL databases like PostgreSQL, MySQL, Redis, Redshift, DynamoDB, BigQuery, MongoDB, Cassandra and Snowflake, • Deep understanding of AWS Database services, especially AWS RDS, Aurora, Redshift, DynamoDB etc., • Ability to use tools to identify bottlenecks or performance problems enabling query and schema optimization., • Experience using modern monitoring tools like Cloudwatch, DataDog etc., and establishing metrics, monitoring, alarming and dashboards., • Experience managing change management practices, policies and procedures., • Experience with infrastructure automation, systems reliability, load balancing, monitoring, logging., • Experience working in and architecting for regulated environments with data privacy regulations like GDPR, HIPAA preferred., • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations, • Professional development and training opportunities Location: U.S. Remote

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Engineering Expert Type: Contract Compensation: $90–$125/hour Location: Remote Role Responsibilities • Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth., • Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior., • Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases., • Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets., • Work independently in long focus sessions to create challenging scenarios for agent evaluation. Must-Have • BS or MS in CS or related field., • 3+ years in data engineering or analytics engineering., • Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing., • Comfortable with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, and test suites., • Hourly contractor, • Upload resume, • AI interview based on your resume

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Engineering Manager, Data you will lead and represent a team of Data and Analytics Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Drive the development of data pipelines and analytical products in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights., • Work closely with business partners across Data Science, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities., • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state., • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping., • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data., • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau)., • Identify bottlenecks and implement improvements to team workflows, tools, and development practices., • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement., • Establish metrics to track progress, communicate priorities, and demonstrate business impact., • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use., • Drive reliability, scalability, observability, security, and cost-efficiency improvements across our data stack., • Own company-wide KPI reporting, including ad hoc analysis, product analytics, and dashboard development, ensuring the team delivers clear, accurate insights in response to evolving business questions.Requirements, • 2+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work., • Experience with workflow orchestration tools like Dagster, Airflow, Prefect., • Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable, • Experience with AWS cloud technologies is preferredBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $200,000 and $265,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Infrastructure Engineer (AWS / Terraform / ECS / Data Platforms) Location: New York, NY (Onsite 3–5 days/week) Compensation: $180,000 - $235,000 + equity About Our Client Our client is building AI-native infrastructure to automate the administrative backbone of healthcare—starting with home health. Their platform helps agencies reduce overhead, accelerate payments, and spend more time on care (not paperwork). The product integrates directly into provider operations and automates complex workflows like insurance verification, prior authorization, and billing using agentic AI. Backed by top-tier investors, the team blends deep expertise across healthcare operations, applied AI, and workflow automation. The Role Our client is hiring their first Infrastructure Engineer to build and scale the foundational systems powering their AI automation platform. You will own critical infrastructure supporting production workloads across intake, clinical documentation, and revenue cycle management—ensuring reliability, security, performance, and compliance as the company scales from one client to dozens. This is a systems-oriented role with broad scope. You'll work across container orchestration, data systems, deployment automation, and observability. Over time, you'll help set the technical vision for the infrastructure layer and define operational best practices that allow engineering to ship faster and more reliably. What You'll Do • Design, build, and maintain scalable cloud infrastructure on AWS, including ECS, Postgres, Redshift, and supporting data pipelines for production workloads, • Own CI/CD pipelines and deployment automation to enable fast, safe releases (testing, rollbacks, zero-downtime deployments), • Implement and manage infrastructure-as-code using Terraform, ensuring consistency and version control across environments, • Build robust observability (metrics/logs/traces/alerting) using tools like Datadog, including cost and performance monitoring, • Scale and optimize Postgres/Redshift to handle growing data volumes while maintaining performance and data integrity, • Drive security and compliance at the infrastructure layer: IAM policies, network controls, audit logging, and HIPAA-compliant data handling Required Qualifications • 4+ years of infrastructure, platform, or SRE-adjacent engineering experience building and scaling production systems, • Strong hands-on experience with AWS and Terraform (or comparable IaC), • Experience with AWS primitives including ECS, RDS/Postgres, Redshift, IAM, VPC, and related services, • Strong experience building and maintaining CI/CD pipelines, automated testing, and deployment automation, • Hands-on experience with observability tools (especially Datadog) including monitoring strategy and alerting discipline, • Familiarity with Redshift or modern warehousing patterns for analytics/reporting workloads, • Experience in healthcare or other regulated industries requiring strict security, privacy, and compliance, • Familiarity with data pipeline orchestration tools and ETL/ELT patterns, • First infrastructure hire with real ownership and architectural influence, • High-impact mission: reduce administrative burden so providers can focus on patient care, • Work at the intersection of cloud infrastructure + data systems + AI-driven workflow automation, • Build compliant, resilient infrastructure that scales with real healthcare operators

Job Description *Authorization to work in the US is required *This is a remote position with occasional travel to onsite location in Brooklyn, NY *Applicants residing within travel distance are preferred *Three references are required POSITION DESCRIPTION: The SQL Database Administrator will be responsible for managing DOE application databases supporting Galaxy Systems, Enterprise Application Systems, and Vendor Portal Systems. This includes performance tuning, data modeling, security administration, backup/restore operations, and supporting application enhancements with robust and scalable database solutions. RESPONSIBILITIES: • Design, maintain, and optimize SQL Server databases used across DOE enterprise applications., • Support the development team in writing efficient stored procedures, triggers, and queries., • Implement data validation rules, transformation logic, and ETL pipelines to improve data accuracy and reliability., • Ensure compliance with DOE cybersecurity, data privacy, and audit requirements., • Monitor database performance and implement tuning strategies., • Develop and maintain data dictionaries, schemas, and database documentation., • Manage backup/restore strategy and disaster recovery procedures., • Support application releases, data migrations, environment refreshes, and integration with other DOE systems., • 7+ years of experience as a SQL Server DBA in enterprise environments., • Strong understanding of large-scale data management, data governance, and system integrations., • Experience supporting .NET applications and ETL processes., • Proficiency in SQL Server 2016+ version, T-SQL performance tuning, SSIS, Azure Data Factory, and ETL workflow design, • Advanced knowledge in Database security, encryption, auditing, backup/restore, replication, and failover clustering, • Experience with reporting frameworks (Power BI, SSRS a plus), • Strong analytical and debugging abilities, • Effective communication and documentation skills, • Ability to collaborate with developers, analysts, and DOE teams, • Attention to data accuracy, integrity, and security Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan; personal time off, and 11 federal holidays. All benefits are subject to eligibility requirements.

Job DescriptionCompany Description Expert Institute is the #1 technology platform connecting litigation attorneys with expert witnesses. We operate in a multi-billion-dollar market with massive untapped potential (~2% market share today). With thousands of law firm clients nationwide and 1M+ experts on our platform, we're scaling quickly—and looking for elite engineering talent to help architect the next phase of growth. Job Description We're looking for a Staff Software Engineer to serve as a technical leader and architect for the products powering our two-sided marketplace. You'll set the technical direction for critical systems, drive architectural decisions that shape our platform for years to come, and mentor engineers across the organization. From designing AI-powered document processing pipelines to architecting the data infrastructure behind our case-matching intelligence, you'll operate at the intersection of deep technical craft and high-leverage business impact. This role is for a seasoned engineer who has already done the "senior engineer" job well and is ready to expand their scope—influencing systems, teams, and the technical strategy of the company. You'll partner directly with engineering leadership, Product, and Design to translate ambitious business goals into resilient, scalable technical realities. What You'll Do * Architect and lead the design of complex, distributed systems that power our marketplace at scale, including our AI/ML infrastructure, search and matching services, and data platform * Drive technical strategy across multiple teams and services—setting standards for reliability, performance, security, and developer experience * Own our AWS cloud infrastructure end-to-end: VPC design, compute (ECS/EKS/Lambda), data stores (RDS, DynamoDB, S3), networking, IAM, observability, and cost optimization * Design and evolve our data platform—including data modeling, ETL/ELT pipelines, warehousing (e.g., Redshift/Snowflake), streaming architectures, and the data foundations that power analytics and ML * Lead the technical design of AI-powered features, including LLM-backed document processing, embeddings/vector search for expert matching, RAG pipelines, and evaluation frameworks * Establish engineering excellence: define coding standards, CI/CD practices, testing strategies, incident response processes, and operational maturity across the org * Mentor engineers at all levels—through code review, design review, pairing, and career coaching—raising the bar for the entire team * Partner with leadership on technical roadmap, hiring, org design, and build-vs-buy decisions * Own critical production systems including on-call rotation leadership, SLO definition, and driving postmortems that translate incidents into lasting improvements * Identify and resolve systemic performance, scalability, and reliability bottlenecks before they become customer-facing problems Qualifications We're looking for candidates who are: * Seasoned technical leaders who thrive in ambiguity and can turn vague goals into concrete architectures * Deeply curious about AI/ML and actively shipping production systems using modern techniques (LLMs, embeddings, vector DBs, agentic workflows) * Strong generalists with depth in distributed systems, cloud infrastructure, and data engineering * Expert-level in Node.js, TypeScript, and PostgreSQL, with working fluency across additional languages and datastores * Force multipliers who make the engineers around them better Additional Information The right candidates have: * 8+ years of professional engineering experience, with at least 2+ years operating at a Staff or equivalent level of scope and influence * Deep AWS expertise—you've designed, built, and operated production workloads across compute, storage, networking, and managed services; you understand the trade-offs between ECS vs. EKS vs. Lambda, when to reach for Aurora vs. DynamoDB, and how to keep a cloud bill sane as you scale * Infrastructure-as-code fluency with Terraform, CDK, or Pulumi, and a strong grasp of CI/CD, containerization (Docker), and modern deployment practices * Data engineering chops: you've designed production data models, built reliable pipelines (Airflow, dbt, Kafka, or equivalent), and shipped warehouse-backed analytics or ML features * Architectural range: you can zoom from individual service design up to multi-system architecture, and you have strong opinions—loosely held—about microservices vs. monoliths, event-driven design, API design, and data consistency models * AI/ML production experience: you've shipped features backed by LLMs, embedding models, or traditional ML, and you understand the infrastructure, evaluation, and cost considerations that come with them * Outstanding communication skills—you can write a crisp RFC, run a productive design review, explain a complex system to a non-technical stakeholder, and give feedback that actually changes behavior * A track record of mentorship and elevating the engineers around you * Strong product intuition—you push back on bad specs, you understand why we're building what we're building, and you use that context to make better technical decisions * A bias to action balanced with the judgment to know when to slow down and design carefully * Deep interest in our product, our customers, and the legal industry's transformation through technology All your information will be kept confidential according to EEO guidelines.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist - Growth and Marketing, you'll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making, • Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design, • Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity, • Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), & align on consistent metric definitions (e.g. CAC, conversion, retention), • Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes, • Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules & guardrails for each approach, • Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigorRequirements, • 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams, • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders, • Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.), • Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation, • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement), • Excellent ability to communicate, collaborate, and influence business partners at all levels, • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/weekBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionAbout UsCanary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform. Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results. Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work — and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners. Join us in shaping the future of hospitality! About the Role We're looking for a Senior Business Intelligence Analyst to lead and define the analytics function at Canary. You'll be the go-to expert on all things data and analytics — owning the strategy, infrastructure, and outputs that the business relies on to make decisions. You'll work across every function and directly with enterprise customers, shaping not just what we measure but how we think about data as a company.What You'll Do • Own the analytics strategy and roadmap — define the vision for how Canary uses data, what we measure, and where we invest in analytics capabilities, • Be the company's analytics expert — serve as the authority on our data, metrics, and analytical best practices across all teams, • Lead the architecture of our analytics platform in partnership with data engineering, including tooling, data modeling, and warehouse design decisions, • Build and own the data pipelines and business analytics that power reporting and decision-making across the organization, • Design and maintain dashboards and analyses that give leadership and cross-functional teams clear visibility into business performance, • Drive strategic conversations with product, sales, go-to-market teams, and leadership — proactively identifying opportunities and risks in the data, not waiting to be asked, • Work directly with enterprise customers on data feeds, custom reporting, and analytics integrations, • Own and evolve our KPIs and metrics frameworks — ensure the company has a consistent, well-understood set of metrics and that teams are aligned on definitions and methodology, • Establish and maintain comprehensive data documentation and a metrics source of truth — build the processes and culture that make data accessible and understandable to everyone at Canary, • Set and enforce data quality standards through governance practices, validation, and cross-team accountability, • Enable self-serve analytics across the organization by building intuitive data models, tooling, and documentation that reduce dependency on ad-hoc requestsWhat We're Looking For, • 5+ years of experience in a BI, analytics, or analytics engineering role, with a track record of owning an analytics function end-to-end, • Excellent SQL skills and deep experience with data warehouses (e.g., Snowflake, BigQuery, Redshift), • Experience designing and maintaining dashboards in modern BI tools (e.g., Tableau, Looker, Metabase), • Strong understanding of data pipeline tooling and ETL/ELT concepts, • Proven ability to translate ambiguous business problems into structured analytical frameworks and actionable recommendations, • Strong communication and presentation skills — comfortable engaging with executive leadership and enterprise customers alike, • A knack for documentation and knowledge sharing — you believe that data is only useful if people understand it, • Opinionated about data quality and governance, with a track record of raising the bar, • Experience working cross-functionally and influencing decisions without direct authority Compensation is subject to standard withholding and applicable taxes. Actual compensation will be commensurate with the candidate’s skill level, experience, and specific work location. This role may also include the opportunity to earn equity. We also work hard to ensure Canary is a fun and exciting place to work! Here are some of the additional benefits: Canary Days: As a company we want to ensure that the team has time to recharge. Each month we provide company wide days off to ensure there is at least one extended weekend or day off. Self Improvement Club: We meet each month and share our personal goals for the month. Each individual is provided a budget towards any purchases that help us achieve these goals. Professional Development Chats: We provide budget to help drive cross functional professional development conversations across the organization. Travel Reimbursement: Team members are able to visit our offices across New York, San Francisco or Dallas when they choose, and are provided a travel stipend for doing so. Spend time working with the team in their office, and use the rest of your time exploring a new city! Personal Travel Reimbursement: If you stay at a hotel that Canary works with, we provide a credit towards your stay. Canary Technologies is an equal opportunity employer. We recruit, employ, train, compensate and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Myers-Holum is actively seeking experienced Senior Consultants with strong data warehousing and business intelligence experience to play a pivotal role in the expansion of the NSAW Practice. Responsibilities • Design, build, and test custom data warehouse and BI solutions for Myers-Holum clients using the Oracle NetSuite Analytics Warehouse (NSAW) platform, • Translate business requirements into technical specifications, • Develop custom data integration solutions to ingest data from multiple sources (cloud and on-premise) using various data integration / data pipelining tools, Oracle Analytics Cloud (OAC), and Oracle Autonomous Data Warehouse (ADW), • Lead the product implementation, from start to finish acting as a trusted advisor to the stakeholders and end users, • In addition to meeting with the client during implementation phase, also run product training, and technical workshops with the client/end users, • Contribute to various internal MHI initiatives including resource mentorship and ongoing education, • 8+ years of relevant professional experience, • 4+ years experience with data management using Oracle or other relational database, • 4+ years experience with data warehouse and data integration projects, using ETL / data integration / data pipelining tools, • Proficiency with at least one cloud or on-premise data integration / data pipelining tool, such as Fivetran, Stitch, Talend, Glue, Nexla, Informatica, Oracle Data Integrator, • Proficiency in at least one version of SQL: Oracle (preferred), SQLServer, MySQL, PostgreSQL, Snowflake, • Experience with at least one of the following BI tools: Oracle OBIEE, OAC, Looker, PowerBI, Qlikview, Tableau, • Experience with using REST APIs and/or GraphQL APIs to get data from cloud data sources is preferred, • Knowledge of ERP data and business processes, • Business analysis skills, • Strong written and verbal communication skills Why Become an MHIer Your Life at Myers-Holum & What you Can Expect: Do you desire collaboration? Are you ready to shape your future and positively influence change for your customers? If so, then it's time to join the MHI Team where you can own your individuality and collaborate with other curious and thought-provoking minds. Discover what you are capable of by paving your path through MHI using your expertise and discovering your true potential. Every MHIer is committed to our mission and operating principles; We remain curious as we lead with a genuine interest in people, ideas, and the unknown. We remain humble in knowing we can change how we currently do things and it is our ability to learn and grow that makes us a success. We remain resilient in understanding that success is not linear and that through reflection and a steadfast passion for betterment, we can continue our mindful and purposeful growth. A little about "Us" We've been around for 40 years. You'll get stability & growth with us. Myers-Holum is a technology and management consulting firm that was founded in 1981 and continues to grow year after year. Today we have over 400 remote employees sitting across ten countries; United States, Canada, Mexico, Chile, Uruguay, Philippines, Vietnam, India & Pakistan. The Partnerships we've built. Our cutting-edge technology partners include Oracle NetSuite, Stripe, Google Cloud Platform, Zone Billing, Celigo, and Boomi all working with us to provide the best customer experience throughout each implementation. Our Structure. We're a boutique firm with a strong internal framework. Our powerful model includes robust Sales, Solution Architecture, Resourcing & Enablement, Consulting, Project Management, Managed Services & Development, and Integration departments with subject matter experts sitting in each function. Our Employees. We're a company that recognizes we're only as strong as our people and each person who joins our firm contributes to our well-being. We strive to ensure all employees have a career path within Myers-Holum for both upward and lateral opportunities while maintaining a healthy work-life balance. We're growing and making waves along the way, join us on this journey! Our Benefits • MHI offers a competitive base salary, incentive pay, and comprehensive benefits including medical, dental, vision, retirement plan, and paid time off. Full package offerings are based on the Country in which you reside., • Company access to training and full coverage for certification/exam fees in a variety of products and professional skill sets, • Career growth and upward mobility to meet your long-term career goals with mid-year and annual reviews scheduled on a recurring basis, • MHI invests in our employee's health by offering a company medical insurance policy that covers 100% of premiums for the individual employee and manager's dependents with a ZERO deductible in the United States, • Remote working opportunity when not traveling for client requirements with full access to the team through technology Our Process: Our interview process is efficient and provides you with an opportunity to showcase your strengths, current abilities and share your future career aspirations while learning whether Myers-Holum would be a good fit for you. You will be paired with a member of our recruiting team who will handle all of the logistics as well as provide thoughtful feedback after each touchpoint to ensure you are kept within the loop from start to finish. Our recruiting timeline can be flexible to align with your circumstances; our typical timeline can take 2-4 weeks to complete however this can be adjusted or expedited depending on your needs. You can expect the following touchpoints when interviewing with MHI • 30-minute call with our recruiting team, • 60-minute video call with a MHI Team Lead, Delivery Manager, or Practice Manager, • 90-minute interactive "Case Study" session with a Delivery Manager or Practice Manager

Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. Staff Software Engineer The Role As a Staff Software Engineer, you will shape the technical direction and architecture of your business unit/vertical. You'll drive innovation across verticals, solve large-scale system challenges, and mentor senior engineers to maximize impact. You operate with autonomy and influence outcomes at the vertical and/or organizational level. What You'll Do • Define and lead multi-team technical strategies for scalability and interoperability., • Design frameworks and reusable systems used across multiple engineering pods. Define engineering patterns adopted across Datavant., • Drive cross-functional initiatives in data architecture, security, and reliability., • Advise leadership on technical direction and major tradeoffs. Represent engineering in executive technical decisions and planning., • Backend: Python, Go, Java; microservices; REST and GraphQL, • Frontend: TypeScript, React, Next.js (as needed for full-stack or cross-domain work), • Infrastructure & Cloud: AWS, multi-cloud architectures, Kubernetes, Docker, and infrastructure-as-code tooling, • Data Platforms: Snowflake, Spark, SQL, S3; advanced data engineering workflows and high-scale data pipelines, • ETL & Orchestration: Airflow or AWS Glue, • Streaming: Kafka or Kinesis for real-time ingestion and system integrations, • Observability: Enterprise-level telemetry systems including DataDog, Grafana, and CloudWatch, • 10+ years of software engineering experience with demonstrated system design mastery., • Deep experience with large-scale distributed systems, multi-cloud architectures, data pipelines, and security., • Strong organizational influence and ability to align teams across verticals., • Ability to translate strategic objectives into scalable engineering execution., • Commitment to mentorship, technical excellence, and continuous improvement.Leadership Qualities & Mindset, • Operate as a trusted technical advisor and thought leader. Create clarity in ambiguous, cross-functional problem spaces., • Balance vision with pragmatic implementation and organizational awareness., • Champion scalability, security, and compliance as shared responsibilities., • Elevate engineering standards and inspire architectural excellence., • Act with integrity, empathy, and long-term impact orientation.Core Value Expectations, • Earn trust through architectural stewardship and enterprise-grade reliability., • Obsess over customers by driving scalable, secure, high-impact solutions., • Prioritize growth over comfort by embracing the hardest challenges and modeling excellence., • Win as a team by aligning pods, shaping cross-functional strategy, and building talent. We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$220,000—$275,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs. Responsibilities: • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR, • Creating and maintaining data extraction, transformation, and loading processes, • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB, • Implementing data lakes using S3 and related AWS services, • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude, • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases, • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex, • Writing and testing SQL queries and stored procedures, • Documenting technical solutions and providing knowledge transfer to customers, • Supporting the implementation of data governance and security controls, • Troubleshooting and resolving issues with data pipelines and AI services, • Participating in code reviews and implementing feedback, • Assisting with proof-of-concept implementations for customer engagements Top candidates will have the following: • Technical familiarity with AWS data and AI/ML services and modern data engineering practices, • Hands-on experience with ETL/ELT processes and data transformation, • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks, • Ability to write and optimize SQL queries across various database platforms, • Knowledge of data modeling concepts and best practices, • Strong analytical and problem-solving skills, • Eagerness to learn new technologies and keep up with cloud and AI innovations, • Excellent communication skills with the ability to explain technical concepts clearly, • Attention to detail and commitment to solution quality, • Collaborative mindset with strong teamwork capabilities, • Experience or interest in automation and infrastructure as code Required Experience for the Role: • Must have 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development, • Must have 2+ years of hands-on AWS experience with production deployments, • Must have 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents), • Must have a proven track record delivering production AI applications from concept to deployment, • Must have strong understanding of software engineering best practices (version control, testing, code review, documentation), • Must have experience working in agile/scrum environments with distributed teams, • Must have excellent problem-solving skills and ability to work independently with minimal supervision, • Must have strong written and verbal communication skills for client-facing interactions The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team's execution, and the department's roadmap. The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search). This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team. Things You Get To Do: • Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery., • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling., • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches., • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements., • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL., • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects., • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development., • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products., • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows., • 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs)., • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage., • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL., • Track record of building self-service analytics capabilities for non-technical stakeholders., • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services., • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions., • Experience managing distributed/remote teams across multiple time zones., • Strong stakeholder management: you can translate between executive priorities and engineering execution., • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation)., • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube)., • Background in compliance analytics (AML/Actimize, KYC, margin calls)., • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job DescriptionJob Title: .NET Full Stack Developer Employment Type: W2 Only (US Based ONLY!) Pay Rate: $4045/hour (W2) Job Summary We are seeking an experienced .NET Full Stack Developer to design, build, and maintain scalable web applications. The ideal candidate has strong backend expertise in C# and .NET, paired with hands-on frontend experience using React, and a solid understanding of Azure cloud services and DevOps practices. You will collaborate with cross-functional teams to deliver high-quality, performant solutions in a fast-paced environment. Key Responsibilities Design, develop, and maintain web applications using C#, ASP.NET, MVC, Web API, and .NET Core Build responsive, user-friendly interfaces using React.js Develop and optimize SQL Server databases, including queries, stored procedures, and performance tuning Create and maintain SSIS packages to support ETL workflows Deploy, monitor, and manage applications in Microsoft Azure Work with CI/CD pipelines to enable automated builds and deployments Collaborate with product owners, UI/UX designers, and other engineers to deliver robust solutions Participate in code reviews and follow best practices for secure and maintainable code Required Skills & Qualifications Strong experience with C#, ASP.NET, MVC, Web API, and .NET Core Hands-on experience developing frontend applications with React.js Solid knowledge of SQL Server, including data modeling and optimization Experience with SSIS for ETL and data integration Exposure to Azure cloud services Familiarity with CI/CD tools such as Azure DevOps or similar platforms Strong problem-solving skills and attention to detail Experience 35 years of hands-on experience in .NET full stack development Nice to Have Experience working in Agile/Scrum development environments Basic knowledge of cloud security and performance monitoring tools This is a remote position.

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business. Key Responsibilities: • Client Engagement & Advisory, • Partner with senior data leaders to provide strategic, forward-looking advisory, • Lead client reviews and recommend improvements across platforms, operating models, and practices, • Drive enterprise transformation initiatives across technology, organization, and processes, • Deliver thought leadership through workshops and knowledge-sharing sessions, • Solutioning & Pre-Sales, • Present capabilities and support business development initiatives, • Develop solutions and proposals for complex client requirements, • Architect scalable solutions for high-impact, first-of-its-kind programs, • Practice Leadership, • Mentor and develop engineering and architecture talent, • Manage and guide architect resources across engagements, • Contribute to go-to-market assets (reference architectures, frameworks, best practices), • Support hiring and strengthen talent acquisition processes, • Collaborate with global teams to enhance delivery and capabilities, • Expertise & Skills, • Strong experience in solution architecture for large-scale enterprise transformation programs, • Deep expertise in modern data platforms (NoSQL, MPP, columnar, big data, cloud – AWS, Azure, GCP), • Experience with data processing frameworks (batch ETL, real-time streaming, IoT architectures), • Knowledge of Data Fabric, Data Mesh, and enterprise data architecture patterns, • Expertise in data management practices, including data governance, cataloging, and data security, • Experience with MLOps, ML lifecycle, and advanced analytics platforms, • Strong background in data warehousing, BI ecosystems, and analytics solutions, • Proficiency in DevOps, Infrastructure as Code, and programming (Python, Java, Scala, etc.), • Exposure to knowledge graphs, customer data platforms, and digital analytics ecosystems, • Soft Skills, • Strong ownership mindset with an entrepreneurial approach, • Ability to work with ambiguity and solve complex, abstract problems, • Excellent stakeholder management and collaboration skills, • Bachelor’s degree in Computer Science or related field (or equivalent experience), • 15+ years of experience in solution architecture and technology platforms, • 5+ years in consulting leadership roles Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionSalary: $150,000 - $175,000 per year plus discretionary bonus Position Summary • Reporting to the Managing Director, Digital Investigations & Cyber Risk, the Director of Data Analytics supports investigations, risk assessments, and expert witness matters across the firm including the Financial Investigations & Forensic Accounting practice, by leading advanced data analytics initiatives. This role partners with managers and multidisciplinary teams to design, execute, and communicate sophisticated analytical solutions across complex, sensitive datasets. Key Responsibilities • Lead extract, transform, and load (ETL) processes for transaction, compliance, forensic, and process-related datasets., • Transform unstructured data (e.g., mobile chat, email, financial and web data) into structured, analysis-ready formats or databases in support of investigation workflows., • Design, code, and refine analytics models using custom scripts and third-party platforms., • Report analytical results to internal and external stakeholders through written reports, dashboards, and data visualizations., • Evaluate and manage third-party analytics tools and cloud processing platforms to engagement type., • Support eDiscovery workflows, including data processing and loading into review platforms., • Develop analytic workflows for cyber and digital investigations., • Build and maintain production-quality custom scripts, queries, and automation to streamline repeatable processes. Technical Skills & Qualifications • Proficiency in programming and SQL and Python., • Advanced experience with Excel, Access, SAS, Alteryx, Tableau, and Power BI., • Hands-on experience with eDiscovery platforms such as Relativity, Brainspace, or Nuix., • Familiarity with cloud processing platforms such as Azure or GCP., • Strong communication skills and ability to present findings to technical and non-technical audiences verbally and in writing. Experience: • Minimum of 5 years of experience in data analytics, investigations, consulting, litigation support, or a related environment., • Demonstrated experience leading complex analytic engagements involving structured and unstructured data., • Experience supporting investigations, regulatory matters, risk assessments, or expert witness projects strongly preferred., • Sector experience in Financial Services and/or Health Care a plus. Education • Bachelors degree in Data Analytics, Computer Science, Information Systems, Statistics, Economics, Finance, or a related quantitative discipline preferred., • Masters degree in Data Science, Analytics, Computer Science, Business Analytics, or a related field preferred., • Nardello & Co. offers highly competitive wages and benefits., • Nardello & Co. is an equal opportunity employer. Who We Are Ranked as the pre-eminent US investigative firm by Chambers & Partners, Nardello & Co.s experienced professionals handle a broad range of issues including civil and white-collar criminal litigation and arbitration support, due diligence, anti-corruption & fraud investigations, asset tracing, activist defense, political risk and strategic intelligence, digital investigations and cyber defense, monitorships and independent investigations, and compliance consulting. The firms clients include the worlds leading law firms and financial institutions, Fortune 500 and FTSE 100 companies, high-net-worth individuals and family offices, governments, NGOs, sports organizations, and academic and cultural institutions. With offices in New York, London, Washington, DC, Los Angeles, San Francisco, Paris, Hong Kong, Dubai, and Singapore, Nardello & Co. maintains a professional staff that includes former US federal prosecutors, US and international lawyers, former law enforcement personnel and intelligence operatives, digital forensic experts, research analysts, former journalists, financial crime specialists, and forensic accountants.

Job Description Senior Data Engineer Location: Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to help reshape how brands communicate—by empowering them to market with precision, not excess. You’ll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. It’s a fast-moving, hands-on role with a tight-knit engineering team and real impact from day one. Responsibilities • Architect and maintain robust data pipelines that scale across high-volume sources, • Develop an event taxonomy and normalization layer for clean, consistent data ingestion, • Use tools like Airflow and dbt to manage data workflows and transformation, • Collaborate with data science and ML teams to support model training and deployment, • Design optimized data models for reliable storage and analysis, • Monitor data workflows and troubleshoot issues across the full pipeline, • Implement ETL/ELT processes with a sharp eye for performance and reliability, • Contribute to feature engineering and A/B test infrastructure in big data environments, • Uphold high standards for data quality, security, and governance You Bring • 5+ years in data engineering, working with complex, high-volume systems / significant data. Think Spotify, Wayfair, Shopify, Netflix etc..., • Strong Python and SQL chops, • Experience with asynchronous Python, • Familiarity with DAG tools like Airflow, dbt, or Dagster, • Comfort jumping between reporting layers and infrastructure architecture, • Solid understanding of cloud platforms (AWS, GCP, Azure) and deploying data solutions, • Knowledge of dev-ops best practices and containerized environments, • Strong communication skills—able to translate technical complexity clearly, • Ownership mindset with a bias for building, refining, and shipping production-quality systems The position is fully remote but you must be based in the US. We will pay up to $230k per annum + benefits

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Head of GTM Systems and Engineering in our New York City office. About the Role: The Head of GTM Systems & Engineering is the lead architect of our Revenue Operating System. Your goal is to move the organization away from manual, disconnected processes and toward a fully automated, logic-driven GTM machine. You will own the technical plumbing and orchestration layer that connects Marketing, Sales, and Success, ensuring that every lead, account, and opportunity moves through a perfectly engineered lifecycle. Reporting to the SVP, Revenue Operations, this will be a high impact role, helping drive profitable revenue growth. What You'll Do • Orchestration Layer: Design the high-level architecture that connects our core GTM tech stack. You own the State Machine of our revenue engine, defining exactly how data moves, changes, and triggers actions across our GTM stack., • Stack Consolidation & Modernization: Evaluate our existing tools through a performance first lens., • Advanced Lifecycle Orchestration: Architect the technical workflows that govern the entire customer journey. This includes complex round-robin routing, and post sales transition protocols., • Data Pipeline Ownership: Engineer the flow of GTM data from our CRM and engagement tools into the reporting layer. You ensure that every field required is automatically populated, formatted, and validated., • LLM-Powered Data Synthesis: Engineer automated pipelines that use LLMs to transform unstructured data (Gong transcripts, email threads, LinkedIn signals) into high-fidelity, structured CRM data. You will move the organization away from manual data entry toward a Zero-Entry CRM environment., • Agentic Workflow Design: Architect Agentic loops where AI agents perform autonomous GTM tasks such as automated account research, lead qualification based on custom ICP logic, and Next Best Action recommendations., • AI Stack Integration: Evaluate and implement the next generation of AI-native GTM tools and integrate them into the core GTM architecture., • Sandbox & Deployment: Implement a rigorous deployment process. No logic goes live without being tested in a sandbox to ensure zero disruption to GTM., • Systems Documentation: Maintain a technical Schema Map of our entire GTM engine so the organization understands the logic behind every automation., • The Architect Mindset: You don't see tools; you see logic gates, data schemas, and API endpoints. You are a systems thinker who builds for the 10x version of the company., • CRM Dual-Mastery: Expert-level technical knowledge of both Salesforce (Flow, Architecture) and HubSpot (Advanced Workflows, Custom Objects). You know exactly where the friction points are between these two platforms and how to solve them., • Expert proficiency in Make, n8n, Zapier, or similar enterprise-grade orchestration platforms., • Proven experience building workflows that call LLM APIs (OpenAI, Anthropic, or Gemini) to automate complex cognitive tasks., • Architect and maintain high-performance Data Activation (Reverse ETL) pipelines that bridge the gap between our Data Warehouse and the GTM stack. You will ensure that models built in the warehouse are pushed into CRM as actionable signals, not just static fields. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) bonus / variable compensation and (iii) generous equity compensation. The base salary range for this role is between $200,000-$230,000, based on the candidate's experience and skills relative to the requirements listed in the "Who You Are" section above. In addition to the base salary, the bonus / variable compensation is based on individual, team and company performance. The salary range provided is exclusive of additional compensation that candidates will receive in the form equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role We are seeking a Forward Deployed Engineer to serve as the technical architect and execution lead for our most critical client implementations. You will be a founding member of a team dedicated to the "last mile" of the Syndio experience - ensuring that our customers' complex data environments are seamlessly integrated into our platform and clients can be onboarded into our platform with minimum effort. In this role, you aren't just "onboarding" a client; you are building the data foundations that allow enterprise leaders to make fair, confident pay decisions. You will work at the intersection of Software Engineering and Solutions Architecture, using our new Implementation Platform and cutting-edge AI tools to transform disparate data into Decision Intelligence. Why this role is exciting • Hands-on Technical Execution: Own the end-to-end technical implementation for strategic clients, from initial data ingestion to complex group configurations in the Syndio platform., • Innovate with AI: Use advanced AI prompt engineering to navigate product exceptions and architect creative solutions for unique client edge cases that "out of the box" features don't yet cover., • Drive True Adoption: Ensure the platform isn't just "live"; it's embedded. You will design configurations that make Syndio an indispensable part of a client's daily HR and compensation workflow., • Modern Tech Stack: Work with modern integration tools and help migrate existing clients to our new, high-scale Implementation Platform., • Cross-Functional Impact: You will provide direct feedback to the Core Engineering and Product Teams and in some cases directly build the core product to help shape.Basic Requirements:, • 3-5+ years of experience as a Software Engineer, Forward Deployed Engineer, or Technical Solutions Consultant in a B2B SaaS environment., • Technical Proficiency: Strong hands-on experience with SQL and Python for data transformation and ETL processes., • AI Prompting Mastery: Proficiency in leveraging LLMs and AI prompting to accelerate complex implementations, automate data mapping and resolve technical product exceptions., • Integration Expertise: Experience working with APIs and modern iPaaS / Integration tools to move data between enterprise systems (HRIS, ATS, Payroll)., • Client-Centric Vision: Ability to lead technical deep-dives with client stakeholders, translating their business needs into platform configurations., • Operational Excellence: Proven ability to manage multiple complex technical workstreams simultaneously while maintaining high quality and documentation standards.About You:, • You are a "Technical Visionary": You don't just follow a checklist; you look at a client's data and requirements, and see the most efficient path to value., • You Thrive on Complexity: You enjoy the "puzzle" of mapping messy, real-world enterprise data into a structured platform., • You are a Strong Communicator: You can explain a complex SQL join to a non-technical HR leader and a product roadmap to a backend engineer., • You are an Early Adopter: You are excited about using AI to augment your workflow and are constantly looking for ways to automate repetitive implementation tasks.\, • You Value Partnerships: You work well cross-functionally and understand that successful implementations require a blend of technical precision and empathetic customer service.Why you'll love it here:, • 💰 Competitive Compensation. For this role our salary is targeted at $105-$140k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave., • 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • 🏥 Life Insurance & Disability. Syndio covers the full premium., • 🏦 401(k). To help you save for your future, • Complete onboarding on the Syndio platform and the "Decision Intelligence" vision., • Master the new Integration Platform and current data loading artifacts., • Shadow 2-3 strategic client implementations and identify potential automation opportunities., • Independently lead technical implementations for new clients., • Execute data migrations for a segment of the existing client base into the new Integration platform., • Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team., • Manage a portfolio of high-complexity implementations for Syndio's most strategic accounts utilizing automation and other artifacts to maximize client's value in minimum time., • Help achieve the goal of migrating 70% of the client base to the new Integration platform solution., • 30 min phone call with a member of our Talent Team., • 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering)., • 75 min hands-on technical interview with a Senior Engineer., • 2-3 video interviews with key members of the Customer Success and Product teams. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job DescriptionCompany Description At AMCL, a Turner & Townsend Company, you’ll join a global team of thought leaders committed to making a difference to infrastructure and society. If you bring your talent, enthusiasm, and creativity, we’ll help you realize your potential, providing the opportunity to learn, develop and work on our exciting projects happening around the world. For 75 years Turner & Townsend has been helping to deliver transformational programs across the real estate, infrastructure, and natural resources sectors, making a difference in people’s lives and ensuring a return on investment for our clients and their investors. With 22,000 experts across more than 60 countries, Turner & Townsend is an independent professional services company specializing in program management, project management, cost management and consulting across the real estate, infrastructure, and natural resources sectors. In 2017, AMCL joined forces with Turner & Townsend. AMCL is recognized as the world’s leading specialist infrastructure, asset management and asset information consultancy. We have built a global reputation for leadership in asset management thinking and on-the-ground delivery. AMCL was founded in 1997 and has worked with over 400 infrastructure organizations globally, across the energy, transportation, and utility sectors. Our teams thrive on the opportunities to share learning and good practice with our clients enabling them to realize true value from the work we deliver. With headquarters in the UK and branches around the globe, including New York City, AMCL has one of the largest teams of dedicated Infrastructure asset management consultants in the world. Job Description AMCL/ Turner & Townsend are looking for a Data Asset Management Consultant to join our US business. This individual will immediately support data management and analytics for a large-scale public facilities management program. In the future this individual might have the opportunity to support various projects and market sectors with regards to asset management capability improvement projects, asset information projects, and data analytics. Responsibilities: • Work as a Data Asset Management Consultant within the delivery team and support the implementation of business transformation projects including asset management consultancy, training, and information projects., • Work independently, lead, or collaborate with the wider US or global team to deliver the complete lifecycle of asset management transformation projects, from sourcing to project closure., • Consult with clients in the improvement of their capabilities with a focus on asset management and asset management systems., • Lead and manage the delivery of Asset Management projects for clients in line with the AMCL project governance requirements., • Identify and manage business development and sales activities including identifying new opportunities, supporting bid work, proposal writing, and presentation development., • Deliver project work, including but not limited to, facilitating internal and external workshops, writing reports, and delivering presentations., • Develop and produce Asset Management products on behalf and in collaboration with clients., • Contribute to leading thinking on emerging business and asset management topics., • Interpret complex dataset, develop KPIs, analyze trends and perform descriptive, diagnostic, predictive & prescriptive analytics., • Design, build and maintain Power BI dashboards., • Lead the design and implementation of complex extract, transform and load (ETL) processes from multiple sources, ensuring scalability, efficiency, accuracy and reliability., • Process confidential data and information according to guidelines., • Communicate and present data analytics insights to the team and the clients., • Formal report/document writing., • Effectively translate stakeholder requirements into well‑defined data metrics, • SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Qualifications, • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or related field., • Demonstrated knowledge of asset management principles and challenges across asset‑intensive sectors such as transportation, power, water, real estate, and municipal organizations, • Proficient in utilizing SQL for data analysis and reporting, • Proficient in utilizing data visualization tools such as Power BI and/or Tableau, • Strong understanding of asset lifecycle management and associated decision processes, including strategic planning, capital investment planning, reliability‑centered maintenance, and whole‑life cost modeling, • Experience with asset management IT systems, asset data, and systems engineering principles supporting successful technology procurement and delivery, • Solid grounding in business management disciplines, including governance, performance measurement, risk management, and change management, • Proven ability to analyze and improve end‑to‑end business processes across planning, operations, maintenance, safety, and procurement, • Strong stakeholder engagement skills, translating business requirements into clear technical and non‑technical solutions, • Advanced analytical and technical skills, including dashboard/report development, database analysis, and application of programming or scripting for automation and problem solving, • Effective planner and problem solver, able to manage multiple projects in fast‑paced environments, deliver to deadlines and budgets, and communicate complex insights clearly while maintaining professionalism and trust Additional Information The salary range for this full-time role is $115K-$130K per year. Ranges are determined by role and level and represent a good faith effort to provide a fair and equitable salary. This range is a reflection of base salary only, not of a total compensation package. Please note Turner & Townsend reserves the right to pay more or less than the posted range, depending on candidate’s experience and qualifications. Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Turner & Townsend does not accept any speculative or unsolicited CV’s that have been sent to our internal recruitment team or hiring managers from agencies outside of our preferred supplier list. Any speculative or unsolicited CV’s will be treated as a direct application. It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. #LI-GO1 Please find out more about us at Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.