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Job Description Job Title: Lead Analytics and AI Engineer Location-Type: 100% Remote (working EST hours) Start Date Is: ASAP Duration: Permanent FTE Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: • Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions, • Design and build scalable data pipelines, ETL/ELT workflows, and data platform components, • Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions, • Build and optimize solutions in Databricks for analytics, reporting, and AI use cases, • Create documentation and technical requirements for offshore development teams, • Guide offshore execution and ensure solutions are delivered accurately and efficiently, • Improve data quality, performance, monitoring, and reliability across pipelines and platforms, • 5–10 years of experience in data engineering, analytics engineering, or related roles, • Strong hands-on Python and SQL skills, • Experience building and maintaining ETL/ELT pipelines and data workflows, • Strong background in data engineering, data pipelines, and data warehousing, • Databricks experience, • Experience designing and delivering data and AI solutions, • Ability to translate business needs into technical solutions, • Strong communication skills and comfort in a client-facing environment, • AWS experience, • Experience with AI/ML tools or AI solution development, • Experience with workflow orchestration tools such as Airflow, • Experience with API-based ingestion and modern cloud data platforms, • Experience supporting near real-time analytics or reporting environments

Job DescriptionPosition Overview:We are seeking experienced professionals with strong, hands-on expertise in Data Products, Data Engineering, or Data Management to support enterprise data initiatives. The ideal candidate will have practical experience designing, building, and managing scalable data solutions that drive business value. Key Responsibilities: • Design, develop, and maintain scalable data pipelines and data products., • Build and optimize data architectures supporting analytics, reporting, and operational use cases., • Implement robust data management practices including data governance, quality, lineage, and metadata management., • Collaborate with business stakeholders to translate requirements into reliable and high-performance data solutions., • Ensure data integrity, security, and compliance across platforms., • Support cloud-based data environments and modern data platforms., • Proven hands-on experience in Data Engineering, Data Product development, or Data Management., • Strong expertise in SQL and data modeling (star/snowflake schemas)., • Experience with ETL/ELT processes and data pipeline development., • Familiarity with cloud data platforms (Azure, AWS, or GCP)., • Experience with data governance, data quality frameworks, and metadata management., • Experience with big data technologies (e.g., Spark, Databricks)., • Knowledge of data warehousing and modern data architecture principles., • Exposure to BI/analytics tools.

Responsibilities Writing complex SQL queries to support ad hoc business requests Partnering with teams across Underwriting, Claims, Finance, and Marketing Supporting production data environments and troubleshooting issues Design, develop, and maintain scalable data pipelines and ETL/ELT processe

A leading P&C insurance company is seeking a Senior Insurance Data Specialist (SQL Developer) to optimize data solutions in a remote setting. The ideal candidate has over 5 years of experience in data engineering with a strong focus on P&C insurance data.

The ideal candidate should have over 10 years of experience in QA roles, specifically in ETL testing and data validation, with strong programming skills in Python and proficiency in the Pytest Framework.

Internship experiences building data intensive software at fast growing startups. Proficient in Python, SQL, and comfortable working across the stack - backend, ETL, database, and infrastructure.

You will learn how to develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL), assist in the development and maintenance of databases, and utilize technologies such as Python, Excel, and SQL. We believe in the unlimited potential of people, and most impor

A leading consulting firm is seeking a Databricks Architect to develop and optimize ETL pipelines and lead data engineering projects. The ideal candidate has over 8 years of experience with Databricks and programming in SQL and Python, and experience in the insurance domain.

A global technology consulting firm in New York is seeking an Oracle Fusion Data Migration Lead. The ideal candidate will have over 12 years of experience in data migration, particularly with Oracle Fusion Cloud, and expertise in ETL methodologies and SQL.

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 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 Description Role & Responsibilities: • Provide technical support in creating and managing data assets, ensuring seamless integration with pricing products and business processes, • Support the design and development of end-to-end data architecture for pricing and analytics solutions, • Collaborate with Product, Underwriting, IT, and Actuarial teams to gather, analyze, and translate data requirements into actionable solutions, • Develop and maintain data pipelines, feature engineering workflows, and datasets for pricing models, • Monitor and optimize performance, scalability, and reliability of data solutions and models, • Perform data analysis and suggest steps to enhance pricing strategies, • Ensure data quality, governance, and compliance with regulatory standards, • Support deployment, validation, and monitoring of pricing models in production environments, • Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Engineering, or related field, • 4+ years of experience in data science, analytics, or pricing-related roles, • Understanding of insurance pricing, underwriting, and risk modeling, • Familiarity with insurance concepts and pricing methodologies, • Knowledge of regulatory and compliance requirements in insurance, • Strong proficiency in Python/R for data analysis and modeling, • Expertise in SQL and large-scale data processing, • Experience with machine learning techniques, • Familiarity with data engineering concepts (ETL pipelines, data lakes, warehouses), • Knowledge of big data technologies is a plus, • Experience with cloud platforms (AWS, Azure, GCP) preferred, • Exposure to data visualization tools (Power BI, Tableau, etc.), • Strong analytical thinking and problem-solving abilities, • Ability to work in cross-functional, collaborative environments, • Effective communication and stakeholder engagement skills, • Attention to detail and commitment to data accuracy and quality

Job Description Role: Lead AI & Analytics Engineer US Remote • Experience: 6–9 years, • AI experience is a must (agentic AI, LangChain, RAG, chatbots, etc.) and should clearly demonstrate hands-on projects or at least 1–2 years of direct experience in the domain This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively. Responsibilities • Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources, • Develop and optimize batch and near real-time data processing pipelines for analytics and reporting, • Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases, • Implement and maintain data models that support efficient querying and reporting, • Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies, • Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines, • Exposure to AI initiatives and experience building data pipelines supporting AI workflows, • Work with data architects and engineering teams to implement scalable data platform designs, • Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs, • Maintain documentation for data pipelines, data models, and data workflows

Job Description About the Role: We are seeking a highly skilled SQL professional to join our team in the Information and Media Services industry. As a SQL expert, you will be responsible for managing and optimizing our company's databases, ensuring that they are secure, efficient, and reliable. Your work will be critical to the success of our business, as you will be responsible for ensuring that our data is accurate and accessible to all stakeholders. You will work closely with our development team to design and implement new database solutions, and will be responsible for troubleshooting and resolving any issues that arise. Minimum Qualifications: • Bachelor's degree in Computer Science or a related field, • 3+ years of experience in SQL database management, • Strong understanding of database design principles, • Experience with database security and backup procedures, • Experience with cloud-based database solutions, • Familiarity with data warehousing and ETL processes, • Design, develop, and maintain SQL databases for our company, • Ensure that our databases are secure, efficient, and reliable, • Collaborate with our development team to design and implement new database solutions, • Troubleshoot and resolve any issues that arise with our databases As a SQL professional, you will use your expertise in database management and design to ensure that our company's data is secure, efficient, and accessible. You will work closely with our development team to design and implement new database solutions, and will be responsible for troubleshooting and resolving any issues that arise. Your strong problem-solving and troubleshooting skills will be critical to your success in this role. Additionally, experience with cloud-based database solutions, data warehousing, and data visualization tools will be beneficial in this position.

Responsibilities include leading QA team members, developing test strategies, and ensuring quality metrics are met. A technology solutions provider is seeking an ETL QA Tester to work 100% remotely.

In this role, you will optimize ETL and data lake processes while ensuring quality data that drives strategic growth.

A tech solutions company is hiring an ETL QA Tester in New Jersey for a remote role. This position involves leading a QA team, designing comprehensive testing strategies, and ensuring best practices while collaborating with various stakeholders.

A leading advertising technology firm is seeking a Data Engineer to join their team. The ideal candidate has over 2 years of experience in data engineering, is proficient in SQL, and has experience with data visualization tools.

Ramp on the Taktile decisioning platform through structured knowledge transfer Progressively own maintenance of existing flows and support new flow development Write and optimize complex SQL queries in Databricks to support reporting and analysis Collaborate on ETL improvements and data pipeline

Job Description Job Title: Data Architect (Remote) About the Role Our client is seeking a mid-level Data Architect with 3–7 years of experience to join our growing insurtech team. In this role, you will design, optimize, and maintain data architectures that power key insurance products, analytics, and operations. You'll collaborate with cross-functional teams to ensure data is reliable, scalable, secure, and aligned with business needs in a fast-evolving insurance technology environment. Key Responsibilities • Design, document, and maintain scalable data models, data pipelines, and storage solutions for insurance products and analytics., • Architect and optimize cloud-based data platforms (e.g., AWS, Azure, GCP) for performance, cost efficiency, and security., • Collaborate with engineering, product, actuarial, underwriting, and data science teams to understand data requirements., • Implement data governance, data quality, and metadata management practices., • Define and enforce data architecture standards, patterns, and best practices., • Support integration of third-party data sources, including telematics, claims data, customer data, and policy data., • Perform root cause analysis and troubleshoot complex data issues., • Partner with security teams to ensure compliance with industry regulations (e.g., HIPAA, SOC 2, state insurance requirements)., • Evaluate new technologies, tools, and frameworks that can improve data capabilities., • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field., • 3–7 years of experience in data architecture, data engineering, or a similar role., • Strong experience with cloud data platforms (AWS, Azure, or GCP)., • Proficiency in data modeling (conceptual, logical, physical) and database design for relational and NoSQL systems., • Hands-on experience with ETL/ELT pipelines, data orchestration tools (e.g. Airflow, dbt), and data warehousing., • Strong SQL skills and familiarity with distributed computing frameworks (e.g., Spark)., • Experience designing data solutions for analytics, reporting, and machine learning workflows., • Understanding of data security, privacy, and governance best practices., • Experience in the insurance or insurtech industry (claims, underwriting, actuarial, policy lifecycle, regulatory reporting)., • Familiarity with insurance-specific data standards (e.g., ACORD)., • Experience with data cataloging tools (e.g., Collibra, Alation)., • Exposure to event-driven architecture (Kafka, Kinesis, or similar)., • Strong problem-solving and analytical abilities., • Ability to work independently in a fully remote environment., • Collaborative mindset with the ability to translate business needs into technical solutions., • Detail-oriented approach with a focus on data quality and reliability.

Education & Certification Requirements Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field Location 100% Remote Responsibilities Develop scalable ETL/ELT pipelines Normalize and map clinical data to LOINC, SNOMED CT, RxNorm, CVX Build data models for qu

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 Description Our client is an AI-powered Healthtech software startup in New York City, NY building infrastructure solutions to automate administrative tasks for the healthcare industry, reducing processing time, errors and ultimately resulting in cost savings and improved patient outcomes. Qualified candidates will have a minimum 3+ years of hands-on professional experience building data pipelines, data warehouses and analytics infrastructure in production environments. Applicants must have hands-on experience with the following technologies: SQL, Python (or R), at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and RDBMS (Postgres, MySQL). BSCS or equivalent is required and top-tier universities are preferred. Candidates should have startup experience and the desire to work in a fast-paced environment. The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT, Dagster), and any experience in Healthtech and/or HL7 or regulated data environments are a plus. The role features competitive base salary, equity and comprehensive benefits. Please send your resume to for consideration.

Job Description Apply now: Lead Analytics and AI Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: Lead Analytics and AI Engineer Location-Type: Remote (EST hours; optional access to NYC office) Start Date Is: ASAP Duration: Permanent Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: * Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions * Design and build scalable data pipelines, ETL/ELT workflows, and data platform components * Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions * Build and optimize solutions in Databricks for analytics, reporting, and AI use cases * Create documentation and technical requirements for offshore development teams * Guide offshore execution and ensure solutions are delivered accurately and efficiently * Improve data quality, performance, monitoring, and reliability across pipelines and platforms * Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture Requirements: Must-Haves: * 6–10 years of experience in data engineering, analytics engineering, or related roles * Strong hands-on Python and SQL skills * Experience building and maintaining ETL/ELT pipelines and data workflows * Strong background in data engineering, data pipelines, and data warehousing * Databricks experience * Experience designing and delivering data and AI solutions * Ability to translate business needs into technical solutions * Strong communication skills and comfort in a client-facing environment * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Nice-to-Haves: * AWS experience * Experience with AI/ML tools or AI solution development * Experience with workflow orchestration tools such as Airflow * Experience with API-based ingestion and modern cloud data platforms * Experience supporting near real-time analytics or reporting environments

The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery. En

Skills and Requirements 5+ years of experience in data engineering with a focus on large-scale distributed data systems Strong proficiency in Python, SQL, and Scala Deep hands-on experience with Apache Spark (PySpark, Spark SQL) for building ETL pipelines and data transformations at scale Experi

Role: Databricks ArchitectLocation: RemoteDomain Experience: InsuranceResponsibilities:Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc. Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.We'll trust you to: • Lead cross-functional project teams in the design and development of high-quality deliverables for clients., • Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients., • Collaborate with leadership to define project scope, approach, and development strategies., • Contributes to Beghou’s internal data warehouse build (ARMADA)., • Demonstrates knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices., • Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams., • Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight., • Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting., • Coordinate with global and diverse teams to ensure seamless project execution., • Engage in business development activities and contribute to internal firm initiatives to drive organizational growth., • Provide mentorship and guidance to junior team members, overseeing their professional development and encouraging continuous improvement and innovation within the team.You will need to have:, • Bachelor’s or advanced degree with at least 6 years of relevant professional experience, preferably in the pharmaceutical or life sciences industry., • Experience with relational database technologies, including PostgreSQL, Oracle, MySQL, Databricks, and Snowflake., • Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel., • Knowledge of coding languages (SAS, Python, R, VBA, etc.) and experience with data visualization software (Tableau, Power BI) is highly preferred., • Excellent analytical and quantitative skills, with a proven ability to solve complex problems., • Exceptional communication skills, both written and verbal., • Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously., • Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. 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 DescriptionSenior Data Engineer Senior Data Engineer (Snowflake, dbt) Location: Hybrid NYC or NJ/CT Comp: $150K-$200K base + bonus We're partnering with a fast-growing company at the intersection of data, analytics, and real-world consumer insights. Their platform processes large-scale datasets to power reporting, analytics, and business decision-making across multiple teams. They're looking for a Senior Data Engineer to own the full data lifecycle, from ingestion and modeling through to enabling business-facing analytics. What You'll Do • Build and maintain scalable data pipelines across batch and near real-time workflows, • Design and optimize data models in Snowflake for analytics and reporting, • Develop and manage transformation workflows using dbt, • Own data ingestion processes using modern ELT tools and frameworks, • Partner with business stakeholders to translate requirements into data models and insights, • Support dashboards and reporting workflows (Sigma or other BI tools), • Establish best practices for data quality, governance, and documentation, • Strong experience with SQL and Python, • Hands-on experience with Snowflake and dbt (required), • Experience building and maintaining modern ETL/ELT pipelines, • Experience working with cloud platforms (AWS preferred), • Strong understanding of data modeling and analytics engineering best practices, • Experience with Sigma Computing or similar BI tools, • Background in analytics, BI, or reporting-heavy environments, • Experience with Fivetran or similar ingestion tools, • Experience with Tableau or Power BI, • High visibility across business and leadership teams, • Ownership of both backend data systems and reporting layer, • Modern data stack (Snowflake, dbt, cloud), • Competitive base + bonus, • Medical, dental, and vision, • 401k with match, • Generous PTO, • Professional development budget - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 04/09/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

This role is ideal for engineers who enjoy working with large-scale data systems, distributed processing frameworks, and high-volume ETL pipelines while collaborating closely with analysts and stakeholders. Data Engineering, building and maintaining data infrastructure and pipelines. Understanding o

Mandatory Skills/Experience: Candidates who do not have the mandatory skills will not be considered.At least 8 years of experience and technical knowledge in: Data mapping, ETL integration, Netscout, Jasper reporting, Oracle Analytics, BMC Remedy ARS to monitor and manage different aspects of the IT

A technology solutions provider is seeking a Senior SAP Developer (ETL) to join their team remotely. The role involves architecting and implementing ETL pipelines to integrate SAP data into a cloud-based platform. Candidates should have a strong background in SAP technologies, cloud data services, a

A leading healthcare solutions provider in the United States seeks an ML Engineer passionate about MLOps and data reliability.You will build and maintain pipelines for AI in Healthcare Information Systems, deploy ML models securely, and develop ETL processes.The ideal candidate holds a Bachelor's or

Data Professional Opportunity Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, web3 infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the web3 ecosystem, connecting builders and founders with essential resources to drive business growth. About the Role We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience. Responsibilities • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards, • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them, • Create self-serve analytics tools and datasets that empower stakeholders across the organization, • Design experiments and perform statistical analyses to measure product and marketing initiatives, • Build data models in our warehouse that balance analytical flexibility with performance, • Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact, • Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar), • Proven ability to design and manage ETL pipelines and database architectures, • Advanced SQL skills and high proficiency in Python for both data analysis and engineering, • Understanding of data modeling principles (Kimball, Data Vault, or similar), • Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn), • Experience with A/B testing, causal inference, and experimental design, • Ability to communicate complex findings to non-technical stakeholders, • Hands-on experience with blockchain data extraction, transformation, and analysis, • Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems, • Experience with marketing analytics and attribution modeling, • Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar, • Previous experience in data roles within blockchain/Web3 organizations, • Gets excited about both building robust data infrastructure AND discovering insights, • Wants ownership over the entire data value chain, • Thrives in environments where they can wear multiple hats, • Competitive Salary, • Health Insurance - (US Only), • 401(k) - (US Only), • Remote Work Environment

TL;DR Kharon is seeking a full-time Senior Software Engineer based in New York City. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES: As the Tech Lead for our Growth team, you will be the architectural backbone of our internal data ecosystem. You will lead the design and implementation of new applications and data pipelines. This is a "player-coach" role requiring a full-stack mindset and deep expertise in data architecture. You will work alongside a Director of Data Analytics, QA/BA, and Director of Product teammates and work cross functionally with Marketing, RevOps, Sales, and Client Services to produce comprehensive and accessible insights on our business. • BI: Support of our internal business intelligence applications. Own the architecture to ensure services are modular, scalable, and performant (utilizing React/Vue for frontend and Python/Java for backend)., • Data Migrations & Systems Integration: Design and execute complex data migrations and integrations., • ETL & Data Modeling: Build and optimize resilient ETL pipelines (e.g., using AWS Glue, Airflow, or DBT) to ingest data into our warehouse/data lake. Implement robust schema designs for relational and potentially graph databases., • User Administration and Account Service Support: Provide technical leadership for our user and customer administration, ensuring secure, scalable, and intuitive management of internal and external user access., • Team Leadership & Best Practices: Mentor engineers, conduct code reviews, and establish standards for API design (REST/GraphQL), documentation, and automated testing (SDLC optimization). QUALIFICATIONS:, • 8+ years of software engineering experience, with 2+ years in a technical leadership or "Lead" capacity and some intersection with internal business processes., • Strong coding skills in Python or Java, with deep experience in modern web frameworks and cloud-native architectures (AWS preferred)., • Expert-level knowledge of SQL and relational database design. Experience with data warehousing (Snowflake, Databricks, or BigQuery) and "Medallion" architecture (Bronze/Silver/Gold layers)., • Proven track record of interacting with and developing against 3rd party APIs, particularly Salesforce., • Experience with containerization (Docker, Kubernetes) and CI/CD automation to ensure high availability and low latency., • Ability to translate complex business requirements from Marketing, Sales, and Client Services into technical roadmaps., • Familiarity with LLM integrations or vector databases to enhance internal BI search capabilities. NICE TO HAVES:, • Experience with Graph Databases (Neo4j, Neptune) for mapping complex client relationships., • Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk., • Experience with SaaS CRM (Salesforce, HubSpot), RevOps tooling, and marketing automation ecosystems. Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior Software Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: • Fully sponsored medical, dental, and vision insurances, • FSA program for both medical and dependent care, • Long term disability, • 401k + Roth with matching and immediate vesting If interested in pursuing this position, please visit to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. #LI-Hybrid #LI-AG1

About Haus Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote "half the money I spend on advertising is wasted; the trouble is I don't know which half" still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth. With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes-automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x. Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by LinkedIn as a 2025 Top Startup! What you'll do: This is a unique opportunity to help us build robust and scalable systems and services that handle data workloads at Haus. The Data Platform includes systems that power the Haus product and are at the heart of what we do. The ideal candidate is somebody who loves working with data, is a great software engineer, and an excellent communicator. You will design, scale, and maintain the systems that support the Haus platform and enable data-driven decision-making at Haus. Responsibilities • Build data solutions on top of Google Cloud Platform (GCP) using Python and other languages as appropriate., • Contribute to the technical direction and development of Haus' data services, infrastructure and tools., • Create and maintain scalable data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs., • Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary, • Create dashboards and reports to support business objectives and enable data-driven decision making, • Partner with data scientists, engineers, and product teams to accomplish all of the above! Qualifications, • 4-7+ years of experience as a Software Engineer., • Experience building and deploying large-scale distributed systems in Python or Go: it makes you uncomfortable deploying something for end-users without thinking about things like performance metrics, monitors and dashboards, graceful degradation and feature flags., • Experience with cloud infrastructure (Google Cloud, AWS, etc)., • Experience building ETL/ELT data pipelines - batch and realtime, • Experience working with SQL and NoSQL databases. Bonus points, • Earlier stage startup experience., • Experience with data warehouses: Snowflake, BigQuery, RedShift., • Experience with data workflows and tools: dbt, dagster., • Experience with Third party data APIs integrations, • Experience with build systems and infrastructure management tooling like Terraform., • BS/MS/PhD in Computer Science, Applied Mathematics or a related field. What we offer We're a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work - this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we're probably not the right fit - and that's okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. Some of our benefits include: • Flexible PTO - take time when you need it!, • Equity - Startup environment with part-ownership in our successes, • Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best, • WFH stipend to support the set up you need to be productive, • Events & Offsites - opportunities to connect and celebrate in real life!, • Free Lunch - Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self - we would love to hear from you.

Informatica Developer Hybrid Locations (Any one of them) - Alpharetta, GA; Charlotte, NC; Chicago, IL; Colorado Springs, CO; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Jacksonville, IL; Lenexa, KS; Lubbock, TX; Morristown, NJ; Mt Juliet, TN; New York, NY; Purchase, NY; Topeka, KS Role: Need to be able to upgrade Informatica (PC) as well as manage all admin issues including patching in Windows environment. Also able to development work loading data from SQL to DWH (Facts and dimensions). Strong on SQL plus loading incremental data to DWH. Must have both Informatica development and admin activities. Requirements: • Over 12-15 years of experience with min 5+ years of hands-on experience in ETL development for a data warehouse., • 5+ years of hands-on experience in development, maintenance, and enhancements of Informatica Mappings, Workflows, and processes., • Experience working with complex SQL., • Expertise with integration technologies and processes., • Experience working with Query Surge., • Experience with window environment., • Possess knowledge of testing tools and techniques.

Lead Data Product Owner New York, New York, United States Job Title: Lead Data Product Owner Job Location: New York City (US) - Work from office, 5 days a week Experience: 11+ years Overview We are looking for a highly motivated Data Product Owner (DPO) with a strong blend of business acumen, data/product management expertise, and a passion for the fan/DTC/sports industry. This role will act as a critical bridge between business stakeholders and technical teams, ensuring that data products and analytics capabilities are strategically defined, well prioritized, and successfully delivered to drive business value. • The DPO is responsible for defining and owning the data product vision and roadmap to streamline the execution of program priorities while maintaining the conceptual and technical integrity of the features or components for the team (where applicable)., • The DPO collaborates with a wide range of stakeholders, especially partners and internal teams, to understand business needs, define requirements, and ensure data products are designed to maximize impact and usability., • Define & own data product vision and roadmap, prepare executive-level reporting, stakeholder alignment across clubs, partners and internal teams., • Act as the primary liaison to translate business objectives into clear product requirements, ensuring stakeholder needs are understood, scoped, and prioritized effectively., • Leverage strong business sense and domain expertise in fan engagement, direct-to-consumer (DTC), and sports business to contextualize data products and prioritize features that drive value., • Translate business requirements into clear product specifications, user stories, and acceptance criteria, partnering closely with Business Analysts (BA), Data Analysts (DA), Data Engineers (DEs) & QAs to guide development and ensure successful delivery., • Own the end-to-end data product lifecycle: from discovery and requirement gathering to backlog prioritization, development, testing, release, and iteration, • Collaborate cross-functionally with engineering, analytics, and business teams to ensure data solutions are aligned with strategic goals and technical feasibility., • Ensure data quality, integrity, and governance standards are maintained throughout product development., • Facilitate agile ceremonies, and manage clear communication with all stakeholders, and lead product status updates, and prioritization discussions., • Continuously monitor product performance and iterate based on user feedback and evolving business needs., • Bachelors degree in Business, Data Science, Computer Science, or related field., • 8+ years of proven experience as a Product Owner or similar role with a focus on data products., • Strong business acumen with deep knowledge of fan engagement, DTC, or sports industry dynamics., • Excellent ability to extract and translate complex business analytics requirements into technical user stories, development tasks & exec-friendly narratives., • Experience working closely with BAs, DAs, and Engineers to coordinate data profiling, ETL, and reporting tasks., • Solid understanding of data engineering and analytics concepts., • Agile/Scrum experience., • Proficiency with project management tools such as JIRA, Confluence, Asana, Zendesk etc., • Excellent communication and stakeholder management skills., • Familiarity with data governance, data quality frameworks, and relevant compliance standards., • Expert with MS-Office apps such as Excel & PPT, • Knowledge of cloud ecosystems (AWS, GCP, Azure)., • Hands-on experience with data visualization tools (e.g., Tableau, Power BI)., • Ability to balance strategic product management with technical understanding., • Passion for sports, fan engagement, or DTC business models.

Database And Reporting Specialist With Mandarin Experience This position is the Branch's Database and Reporting Specialist and is responsible for Database management, Data Integration and Report Development throughout the Branch. The candidate will be able to work independently and collaboratively with the team on the database management, development, testing, integration, maintenance, and support of the Branch on day-to-day operations. Skills and Knowledge Requirements: • Extensive experience writing advanced SQL queries and stored procedures and troubleshooting their performance., • Familiarity with Windows server operating systems, and an understanding of server hardware as it relates to MS SQL Server, as well as an understanding of basic networking and system concepts., • Professional knowledge and experience in large, relational databases and data structures, such as SQL Server or other database., • Experience in develop test plans, test scripts, validation procedures, and perform system integration testing., • Strong understanding of ETL concepts., • Familiarity with Business Intelligence tools including SSIS and SSRS, integration with SQL., • Proven Microsoft T-SQL skills., • Demonstrated experience with maintaining database security, access control and management., • Knowledge and experience to manage and monitor SQL Server infrastructure, tune performance and remediate any database., • Ability to develop reports development and maintenance policies, and draft the new product or report requirements., • Knowledge and experience in the Data Governance management and support., • Self-motivated and be able to work independently and collaboratively with others teams., • Proficient in standard business and database software including: MS Office, MS Access, Crystal Report, and SSMS., • Strong quantitative skills, attention to detail, and a high aptitude for problem solving., • Bachelor's degree in Computer Science or equivalent related field., • 5+ years of experience in designing, developing, implementing, maintaining and administering Microsoft SQL Server or other database applications (SSIS, SSRS) in an enterprise environment., • Design and develop database and applications with all phases of software development lifecycle., • Use SSIS, SSRS, and SQL to develop ETL packages and reports., • Maintain the exiting SSIS Packages, Data Flow logic designs and SSRS Reports., • Design and develop new features/functionalities of ETL Data Integration using SSIS, SQL, C#, Java, Python, etc., • Perform hands-on data-related tasks such as data analysis, data integration, data issue remediation, data reconciliation, data warehousing, and reporting automation., • Develop functions, views and stored procedures, complex SQL queries for reports that meet business requirements., • Conduct legacy report logic analysis and develop the report on the new reporting platform., • Perform end-to-end reports management including design, development, testing, configuration, deployment, and maintenance of the reports., • Proactively manage and monitor SQL Server infrastructure, tune performance and remediate any issues utilizing the Database infrastructure., • Design, implement and maintain data integrations between enterprise systems., • Maintain and enforce data consistency across those systems., • Design, implement and maintain solutions to assist in the analysis and delivery of data stored in enterprise systems through the use of SQL Server business intelligence tools, including SSIS, SSRS, etc., • Establish, maintain and follow group procedures and policies related to the SQL Server environment, including installations, configurations, backups, disaster recovery, and other such operations., • Write technical documents and testing reports., • Provide support for the internal and external audit and exam., • Be responsible for demonstrating risk awareness by following all policies, procedures, and internal control in their daily routine., • Execute ad hoc tasks assigned by Supervisors.

Job Posting Minimum 10+ years of IT experience. Minimum 7 years of ETL testing experience. Strong experience required in AWS Glue & Lambda. Strong SQL skills required. Minimum 2 to 3 years of experience in Snowflake is a must.

Responsibilities Strong experience in SAP ECC and SAP HANA SAP Datasphere (building ETL pipelines) Architect and implement ETL pipelines to extract data from SAP ECC / HANA / Datasphere Design and build robust, scalable ETL/ELT pipelines to ingest data into Microsoft cloud using tools such as Azure

Job Title: ETL Automation Lead Location: San Francisco, CA Mode: 100% Remote Shift: General Max rate $50/hr on C2C AI We need a proactive ETL QA Lead to drive the E2E test strategy and automation roadmap for a large-scale Palantir Foundry project. Key Responsibilities E2E Strategy: Design and own t

ETL development using Informatica PowerCenter (preferably version 10. Our client, a leading financial services organization, is seeking a Senior Informatica ETL Developer to join their team. As a Senior Informatica ETL Developer, you will be part of the Data Engineering Department supporting the Com

Decent and recent experience in DB/Data warehouse/ETL Testing with clarity on Full data validation.

Proficiency in SSIS (SQL Server Integration Services) for ETL (Extract, Transform, and Load) processes.

Participate in the transformation and implementation of critical batch processing systems. Design and manage scalable database systems, focusing on Oracle platforms. Experience with distributed systems.

The SDET (Software Development Engineer in Test) is responsible for ensuring the quality and reliability of ETL processes and data integration workflows.

Tableau Administrator Advanced knowledge and experience with Tableau software (Desktop Pro, Server, Interactor), with a strong understanding of Tableau architecture and administration. Experience as Tableau administrator, developing in, configuring and administering Tableau Server. 5 -7 years of experience in BI role working specifically with Business Community producing analytical reports/dashboards, predictive analytics, ROI calculations demonstrating value of BI. Strong development skills in Tableau and data analytics and visualizations. Strong Knowledge in BI tools including ETL, Data Warehousing, other BI tools. Experience in Tableau scripting (TABCMD and TABADMIN). Ability to architect a stable Tableau solution guaranteed for high operational availability. Experience working with Relational Databases (SQL Server - required, Oracle). Expertise in Tableau platform sizing, troubleshooting, tuning & disaster recovery. Good knowledge of Tableau Metadata tables.