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Job Description: You'll own the quality of data as it moves through ETL pipelines in a state Medicaid environment — from reviewing requirements all the way through defect resolution, regression testing, and automation. Review Change Requests (CRs) and participate in requirement analysis for new EDW extracts and transformations. Participate in data modeling and requirement gathering sessions to ensure testing stays aligned with business needs. Perform backend testing to compare data in source systems to target Medicaid Enterprise Data Warehouses (EDW); verify source-to-target data mapping and transformation logic for Medicaid datasets. Validate data quality, standardization rules, and loading accuracy across full-load and incremental-load cycles. Write complex SQL queries — multi-table JOINs, aggregations, row counts, null checks, duplicate checks, and referential integrity validation — to validate ETL outputs against business rules. Design test plans, test cases, and test scenarios for ETL processes; execute both manual and automated tests. Identify, document, and track discrepancies using JIRA, HP ALM, or Azure DevOps Test Plans; collaborate with ETL developers to resolve defects and perform regression testing. Develop automated database validation scripts using Python, SQLAlchemy, and Pandas; create shell scripts for ETL monitoring and log analysis. Integrate test automation into CI/CD pipelines in Azure DevOps. Document test results and provide detailed, actionable feedback to stakeholders. Requirements: 5+ years of experience in software testing and quality assurance 5+ years of experience testing backend, database, EDW, or ETL systems 4+ years of strong SQL experience and hands-on work with at least one RDBMS (Teradata, SQL Server, Oracle, or similar) 4+ years of experience in UI, smoke, end-to-end, and integration testing 4+ years of experience in test design and working with at least one test management tool (Azure DevOps, JIRA, HP ALM) Strong understanding of EDW and ETL concepts, including Star/Snowflake schema and Slowly Changing Dimensions (SCD1/SCD2) Direct experience in a Medicaid, healthcare, or government data environment, including familiarity with HIPAA and healthcare data standards (837/835 claims, ICD-9/10, CPT, HL7) Bachelor's degree in Computer Science, Information Technology, Data Analytics, Mathematics, or a related field Hands-on experience with Informatica PowerCenter (preferred qualification) Knowledge of Medicaid reporting, encounter data, and data mart validation (preferred qualification) Familiarity with Medicaid Enterprise Systems (MES) or a state Medicaid agency (e.g., Illinois HFS) (preferred qualification) Python test automation and GitHub for code management (preferred qualification) Experience integrating automated tests into CI/CD pipelines (preferred qualification). Benefits: Work that carries real weight. A team that takes quality seriously. Room to grow your craft. Collaboration without silos. Purpose-driven clients.

Job Description: Design, build, and maintain ML Ops pipelines supporting model training, validation, and deployment across AWS environments. Implement automation for model packaging, testing, deployment, and monitoring using CI/CD best practices. Collaborate with data engineers and data scientists to operationalize ML workloads within the data lakehouse ecosystem. Develop and maintain integrations between data ingestion, feature stores, and model repositories. Apply infrastructure-as-code (Terraform, AWS CDK, CloudFormation) to automate ML pipeline infrastructure. Implement and manage model versioning, reproducibility, and lineage tracking using tools such as MLflow or SageMaker Model Registry. Define and automate monitoring, alerting, and retraining strategies for deployed models. Ensure all ML infrastructure and pipelines meet enterprise security, compliance, and governance standards. Participate in code reviews, knowledge sharing, and continuous improvement of ML Ops practices. Mentor junior engineers and contribute to documentation, standards, and best practices for ML Ops across teams. Requirements: Bachelor's Degree in Computer Science, Data Engineering, or a related technical field or equivalent experience. 4+ years of professional experience in software, data, or ML engineering. 2+ years of direct experience implementing and maintaining ML pipelines in production. Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Hands-on experience with AWS services (SageMaker, Step Functions, Lambda, ECR, S3, Glue, IAM). Solid understanding of CI/CD, containerization (Docker) Experience with building CI/CD pipelines (Jenkins, Github Actions, etc.). Experience with infrastructure-as-code and automation (Terraform, AWS CDK, or CloudFormation). Strong understanding of data pipelines, ETL/ELT concepts, and feature engineering in a lakehouse environment. Proven ability to apply software engineering practices to machine learning workflows. Strong communication and collaboration skills across multidisciplinary teams. Benefits: Medical, Dental, Vision, Life and Disability Insurance and Flexible spending accounts Retirement Savings Plan Paid Parental Leave Holidays and Paid Time Off (PTO) Mentoring program

Job Description: The selected candidate will be required to work on several different APIs and publications of data sets and must be able to develop in an Agile methodology. Backend API Development and Maintenance Data Storage and ETL Engineering Working in an AWS Cloud base environment Unit Test Writing Working with a Scrum Team using Agile Writing documentation in Confluence and using JIRA for User Stories. Performance Testing Participate in all team meetings Requirements: Bachelor's Degree 5+ years of professional software development experience Candidate must be able to obtain and maintain a Federal Public Trust Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years TypeScript / JavaScript — backend services, async patterns, Node.js runtime Python 3 — data engineering, ETL pipelines, type hints, abstract base classes SQL — analytical queries, schema design, query optimization across PostgreSQL and MySQL NestJS Framework — modules, controllers, services, dependency injection, guards, middleware, decorators RESTful API design — resource modeling, HTTP semantics, versioning ETL pipeline design — extract → transform → validate → publish lifecycle; idempotency patterns; runtime business rule validation S3 — file storage, S3A filesystem integration with Spark, lifecycle conventions Docker — multi-stage Dockerfiles, docker-compose for local dev clusters, environment parity with production runtimes ORM proficiency — TypeORM (entity modeling, migrations, query builder, transactions) Authentication & authorization — JWT/Bearer tokens and policy-based authz with role/claim evaluation Apache Spark (PySpark) — distributed compute, DataFrame I/O, Spark SQL, EMR Serverless job configuration and submission Pandas / NumPy — in-process data transformation, vectorized operations, statistical aggregations Vitest and Jest — unit and integration testing, high coverage discipline (95%+ thresholds) pytest — Python unit and integration testing; mocking AWS services Structured logging — contextual request/job logging APM tooling — Datadog familiarity a plus Dependency security — Snyk, CVE remediation, automated dependency updates (Dependabot) PostgreSQL — schema design, JDBC integration, query optimization MySQL / Aurora MySQL — schema design, indexing, migrations Amazon Redshift — analytical SQL, serverless cluster connectivity, credential management AWS CodeBuild — CI/CD pipeline authoring, multi-step buildspecs, secret injection EMR Serverless — PySpark job submission, monitoring, custom Python SSM Parameter Store — runtime secret and config injection TypeScript linting — ESLint 9, TypeScript ESLint, Prettier, Husky + lint-staged pre-commit hooks Python linting — Ruff (lint + format), isort, pip-compile for deterministic dependency pinning Federal Government contracting work experience Prior experience in consulting or healthcare highly preferred. Benefits: Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process.

Job Description: Provide technical expertise in the pre-sales process by offering architectural guidance, assessing integration feasibility, and identifying solution approaches across multiple product lines and third-party systems. Learn and analyze customers’ technical architecture, system landscape, and integration requirements, serving as a subject matter expert in designing scalable, high-performance technical solutions, including APIs, data integrations, and middleware platforms. Translate business and technical requirements into technical architecture specifications, integration patterns, API designs, and implementation standards. Provide technical oversight and execution from discovery through architecture design, ensuring large-scale implementations are built on sound technical foundations. Offer ongoing technical support and guidance during deployment phases, including integration testing, performance optimization, and production cutover. Analyze and manage complex technical escalations related to integrations, performance, data synchronization, and system architecture, coordinating the right internal resources to resolve issues and protect customer relationships. Design and implement custom integrations, APIs, data pipelines, and technical solutions to meet specific customer needs. Analyze and drive opportunities to expand technical capabilities, accelerate integration adoption, and leverage Unanet’s platform extensibility. Participate in technical planning and proactively manage executive-level customer, partner, and stakeholder relationships on architecture and integration strategy. Provide technical mentorship and guidance to other members of the implementation team on architecture patterns, integration best practices, and technical problem-solving. Build and maintain common libraries, patterns, and reusable designs that can be leveraged across multiple projects and technical resources, increasing consistency and delivery speed. Requirements: 5+ years’ experience in multi-phase, custom software integration projects, ideally in complex, enterprise environments. 5+ years’ development experience or experience leading developers, with a strong track record of delivering high-quality technical solutions. Bachelor’s degree in Engineering, Computer Science, or a related field (or equivalent practical experience). Broad technical architecture experience, including expertise in REST API integration and authentication, database design and SQL (e.g., PostgreSQL, Oracle, SQL Server), cloud platforms (e.g., AWS, Azure, GCP), integration patterns (ETL/ELT, middleware, event-driven architectures), programming languages (e.g., Python, Java, C#, or similar), and DevOps practices (CI/CD, version control, containerization). Proficient in Python, PostgreSQL, REST APIs, and Git. In-depth knowledge of technical implementation methodologies (e.g., Agile/Scrum, DevOps, CI/CD, API integration patterns, system architecture patterns, and database design). Broad product and industry experience, including product or technical expertise relevant across Unanet’s portfolio (e.g., ERP, CRM, PSA SaaS products) and customer industries (e.g., GovCon, Architecture, Engineering, Construction). Proven ability to communicate effectively and partner with clients, partners, and colleagues at all levels, including executives. Ability to craft and articulate strategic technical solutions that align technology with business goals. Strong professional creativity and problem-solving abilities, particularly in complex integration and architecture scenarios. Exceptional organizational and time-management skills, with experience managing multiple workstreams or projects in parallel. Ability to travel as needed to support customer engagements, team collaboration, and key events. Benefits: Employee equity Discretionary bonus compensation Eligibility to participate in Unanet's employee benefits plans

Job Description: Build and ship production-quality implementations of the data normalization, schema mapping, validation, enrichment, and distribution pipeline for a net-new intelligent data warehouse Write clean, well-tested, performant code across the full stack – backend services, data pipeline logic, and API integrations Take end-to-end ownership of features from design through deployment, with accountability for correctness and reliability in production Work closely with staff engineers to shape the architecture of a modern, AI-native data warehouse serving institutional financial clients Bring thoughtful input on schema design, normalization approaches, and API patterns – and execute those decisions with precision Identify and raise technical risks early; propose and implement solutions rather than waiting to be directed Use agentic coding tools and LLM-assisted development as your primary workflow – this is how the entire team operates Critically evaluate AI-generated code for correctness, edge cases, and regressions – shipping quality output regardless of how it was produced Contribute to the team’s evolving practices around AI-accelerated development and testing Build and maintain data validation checks, monitoring, and observability tooling that keeps the pipeline trustworthy at scale Participate in on-call and production support, diagnosing and resolving data quality issues quickly and thoroughly Write and maintain clear technical documentation for the systems you build Partner effectively with staff and senior engineers, your engineering manager, and product management to translate requirements into well-scoped, executable work Participate in design and code reviews, offering and receiving feedback constructively Develop domain intuition around private markets data – fund administration, investment data schemas, institutional reporting – to make better technical decisions Requirements: 4–7 years of software engineering experience, with a track record of shipping production systems end-to-end Strong full-stack engineering fundamentals – backend services, data pipelines, and API design; we will ask you to walk through systems you personally built Hands-on experience with data pipeline or data warehouse engineering: ETL/ELT patterns, schema design, normalization, and data distribution Production experience building with LLMs – prompt design, model integration, and output validation in real systems Fluency with AI-assisted and agentic development workflows; you use these tools daily and evaluate their output critically Experience with AWS data infrastructure; Redshift experience a plus Strong written communication – able to document technical decisions clearly for engineering and product audiences. Benefits: Health, dental, and vision care for you and your family Life insurance Mental wellness coverage Fertility and growing family support Flex Time Off in addition to company-paid holidays Paid family leave, medical leave, and bereavement leave policies Retirement saving plans Allowance to customize your work and technology setup at home Annual professional development stipend

Job Description: Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and operationalize data from a variety of enterprise sources Build and support data integration workflows across structured and unstructured data sources, including APIs, files, cloud storage, databases, and enterprise platforms Enable analytics and reporting use cases by preparing curated datasets and supporting integration with BI and analytics tools such as Tableau, Databricks, Palantir, Power BI, Qlik, or similar platforms Support the development of data models, transformation logic, and reusable engineering patterns that improve data access, decision support, and operational visibility Collaborate with analysts, engineers, and stakeholders to refine requirements and deliver data products aligned to mission needs Support testing, debugging, validation, and performance tuning of data pipelines and analytics workflows Leverage Git-based repositories and version control best practices to manage engineering efforts Participate in Agile development activities, including sprint planning, backlog refinement, demos, and retrospectives Document technical designs, data flows, transformation logic, and engineering processes to support maintainability and knowledge transfer Contribute to secure, scalable, and repeatable delivery practices across cloud and DevSecOps environments. Requirements: Active DoD Secret clearance Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 4+ years of relevant experience; or Master’s degree in a related field and 2+ years of relevant experience Strong experience building or supporting data pipelines, ETL/ELT workflows, and data integration solutions in enterprise environments Hands-on experience with Python and SQL Experience with one or more modern analytics, BI, or data platform tools such as Databricks, Palantir, Tableau, Power BI, Qlik, or similar technologies Experience supporting reporting, analytics, dashboarding, or data visualization use cases Familiarity with cloud-based data environments and enterprise data workflows Familiarity with Git-based version control and collaborative development workflows Strong problem-solving and troubleshooting skills Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams. Benefits: Health, dental, and vision insurance 401(k) Paid time off Professional development opportunities Flexible work arrangements to support work-life balance

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

Job: Project/ Program Manager (Healthcare) Location: New York City, NY(Hybrid) Exp Level 10+ Years of min. professional experience required 3-5 years of healthcare industry experience Candidates with deep expertise in the Claims Management Lifecycle within the public sector. Proven track record of delivering MMIS (Medicare/Medicaid) state projects. Technical Skills • Understanding of the Project Management Institute (PMI) framework, • Solid work knowledge of various project management methodologies (e.g., CI/CD, SDLC, Agile/scrum), • Project Management Tool (Asana/Smartsheet), • Knowledge of Data Architecture, Data flows & ETL, • Understanding of Healthcare Terminology, • Understanding of Health Industry tied to Plans, Member & Patient Portal Key Responsibilities • Strategic Agility and ability to manage concurrent projects and activities across multiple business lines, • Work with direct to indirect supervision, • Develops project plans for schedule, resources, and budget. Requires collaboration with Product, Development, Testing, Project Sponsors, Finance, and executives., • Coordinates with project teams to identify issues, risks, and opportunities for improvement; and designs strategies to mitigate or avoid future risks., • Monitors and manages project quality to ensure project deliverables are acceptable and fulfill the terms of the project contract or specifications and is complete., • Compiles and distributes project information, status reports, and portfolio budget expenditure periodically, • Operational Flexibility to actively engage in continuous improvement of the organization's project management processes and standards., • Other duties as assigned to Interact with the senior managers, executives, and major stakeholders to establish strategic plans and objectives for an organization, • Build Project & Portfolio Dashboard, • Accept and excel at diverse responsibilities assigned by management to drive the organization's mission forward, • Assists with troubleshooting operational issues, developing solutions and coordinating implementation, • Provide project management oversight, monitoring, data collection, and analytical support as needed for projects Education: Bachelor’s Degree - IT/Engineering Preferred Certification PMP and Lean Six Sigma Preferred Other Skills • Effective oral and written communication, • Ability to understand industry specific content, • Cross-functional leadership trait, • Problem Solving Mindset, • Ability to Manage and Lead Projects, • Learner mindset, • Negotiation and facilitation skills

Hiring Fulltime Bilingual English / Korean Senior DevOps Engineer with Java & ETL experience in Ridgefield Park, NJ - Fulltime, NO C2C -Bilingual (Korean and English) required in order to work with outsourced development team in South Korea Job Description We are seeking an experienced DevOps Engineer to assist with the maintenance, development, and implementation of one of our Intranet systems. The candidate must have a solid development background across multiple technical disciplines including J2EE web application development, Java client/server development, and Database Development. Requirements: -9+ years in DevOps, web based related system development including Java experience in developing or maintaining intranet systems. -The below experience is required for a successful candidate in the below priority order -Priority 1: Database Experience – Oracle based data modeling, SQL, Procedure development, DB tuning experience -Priority 2: Front-End Development Experience – preferably with Kendo UI with VUE -Priority 3: Back-End Development Experience – Java(Spring Boot) backend API development -Priority 4: ETL: Alteryx Experience Qualifications: -Bachelor’s degree in Computer science or related discipline with an information technology focus -API development experiences are plus -ETL development experience with ETL Tools (Alteryx, Oracle Data Integrator, MS SQL SSIS, etc.) preferred -BI reporting tool (Tableau, MS Power BI, etc.) development experiences are preferred -Full lifecycle of ETL implementation understanding preferred (analysis, architecture, design, development, data extraction, staging and storage, transformation, presentation, testing, cutover/go-live planning)

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Worth is now looking looking for a Senior Software Engineer to own major features and subsystems that power our core products. This is a hands-on engineering role for someone who thrives in production code, handles ambiguity with confidence, and raises the technical bar for the team around them. You will design and deliver scalable systems, break down complex product requirements into thoughtful technical plans, and anticipate performance, reliability, and maintainability challenges before they surface in production. Beyond your own execution, you will mentor intermediate and associate engineers, helping them grow in system design, code quality, and engineering judgment. Your impact will extend across your team and product area through both direct contribution and technical leadership. • Own the design and implementation of major features or subsystems from concept through production., • Break down ambiguous requirements into clear technical designs with well-understood tradeoffs., • Write high-quality production code across backend and frontend systems using Node.js, TypeScript, Nest.js, and React.js., • Design and evolve PostgreSQL schemas with strong attention to indexing, performance, and data integrity., • Optimize slow queries and resolve systemic performance bottlenecks., • Build and maintain event-driven workflows using Kafka and Redis., • Deploy, monitor, and debug containerized services in Kubernetes environments., • Identify and address technical debt within owned systems and lead pragmatic refactors., • Lead by example in code reviews, coaching others on clean architecture, testing strategy, and maintainable design., • Handle production incidents methodically and improve systems to reduce recurrence., • Mentor associate and intermediate engineers through pairing, design reviews, and structured feedback., • Communicate complex technical tradeoffs clearly across engineering, product, and leadership., • Languages & Runtimes: Node.js, TypeScript, • Frameworks: Nest.js, React.js, • Data & Messaging: PostgreSQL, Kafka, Redis, Redshift, • Infrastructure & Orchestration: Kubernetes, ArgoCD, AWS, • Monitoring: DataDog, • 8+ years of professional software engineering experience., • Demonstrated ownership of major features or subsystems in production environments., • Deep expertise in the Node.js and TypeScript ecosystem., • Strong system design skills with experience building scalable distributed systems., • Hands-on experience with PostgreSQL, including schema design and query optimization., • Experience building or maintaining event-driven systems using Kafka., • Comfort operating containerized applications in Kubernetes., • Proven ability to refactor complex or legacy code into modular, maintainable architecture., • Demonstrated experience mentoring junior engineers and raising team quality standards., • Ability to operate effectively in high-ambiguity environments., • Major features and subsystems ship reliably and on schedule., • Production systems meet defined performance and reliability targets (P90/P99 latency, uptime, MTTR)., • Code quality and maintainability measurably improve within areas of ownership., • Associate and intermediate engineers demonstrate growth in autonomy and technical capability., • The team’s delivery velocity improves due to clearer technical direction and stronger execution., • Experience with AWS services including MSK, RDS, EKS, S3, and Lambda., • Experience with Infrastructure-as-Code tools such as Terraform., • Strong background in distributed caching strategies using Redis., • Experience with Redshift schema design and ETL pipelines., • Production experience with Python in backend systems., • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance, • Flexible Paid Time Off, • 9 paid Holidays, • Family Leave, • Remote, • Hybrid work (for Orlando Associates), • Free Food & Snacks (Orlando), • Wellness Resources

Resource Innovations is seeking Lead Java Software Engineer to join our growing Software As A Service (SaaS) team. As a hands-on technical lead at Resource Innovations, you will be instrumental in the design, development and deployment of innovative cloud-based enterprise software used by leading Energy organizations. This position will work on wide range of SaaS products that fundamentally changes how utilities manage business processes and customer initiatives for energy efficiency, renewable energy, demands response and conservation. We are looking for candidates who want to work on things that make an impact on the world and are passionate about product craftsmanship. This is remote position requiring occasional in-person office meetings for candidates residing in one of the following metro areas San Francisco CA, Chicago IL, Phoenix AZ, Denver CO, or Madison WI. We require candidates to currently reside in the United States. Unfortunately, we are not offering visa sponsorship or extensions for this position. Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we're constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we're leading the charge to power change. Duties and Responsibilities • Application Development: Lead and participate in the full software development life cycle of cloud-based enterprise applications, including design, development, testing, implementation, and support in a fast-paced, distributed environment., • Technical Design & Architecture: Design and develop cloud-native applications using Java, Spring Boot, and related frameworks. Work with REST/SOAP web services, API Gateways, and RDBMS to build scalable, high-performance systems. Ensure software designs meet performance, security, usability, reliability, and scalability requirements., • Code Quality & Review: Develop clean, maintainable, and well-documented code following best practices and design patterns. Conduct code reviews, provide feedback, and contribute to continuous improvement in development standards., • Troubleshooting & Optimization: Identify, analyze, and resolve complex technical issues; optimize applications for performance and scalability., • Collaboration & Process: Collaborate cross-functionally with QA, DevOps, Product, and Business teams using Agile methodologies (Scrum, Jira, Confluence, Git) to deliver quality software solutions on time. Experience: 8+ years of software development experience building high-performance, reliable, and scalable enterprise applications. Technical Skills: • Languages & Frameworks: Java, Spring Boot, Hibernate, Maven, JMS, • Databases: MySQL, SQL, familiarity with NoSQL (MongoDB, DynamoDB preferred), • Integration & Data: Apache Camel, JSON, XML, ETL tools (Pentaho, Stitch), • Testing: JUnit, TestNG, Mockito, • Cloud & DevOps: AWS services, Linux, CI/CD pipelines, containerization (Docker, Kubernetes preferred), • Architecture: Microservices design and implementation experience Soft Skills: • Strong analytical and problem-solving abilities with critical thinking skills, • Excellent verbal and written communication, • Ability to work independently in a fast-paced, distributed environment, • Collaborative mindset with attention to quality and maintainability, • Interest in sustainability and passionate about making a meaningful impact on the environment. Preferred Experience: • Web Technologies: JavaScript, HTML, CSS; Angular experience a plus, • Exposure to NoSQL databases (MongoDB, DynamoDB) Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we’re constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we’re leading the charge to power change. Resource Innovations is an Equal Opportunity Employer, committed to ensuring equal employment opportunities for all job applicants and employees without regard to race, color, religion, national origin, gender, age, disability, marital status, genetics, protected veteran status, sexual orientation, or any other protected status. In addition to federal law requirements, Resource Innovations complies with applicable state and local laws governing non-discrimination in employment in every location in which the company does work. Compensation & Benefits Resource Innovations offers competitive salaries based on a candidate's skills, experience and qualifications for the position. The compensation range for the base salary for this position is $135,000 - $160,000. In addition to base pay, employees are eligible for a discretionary annual bonus. The stated salary represents the expected compensation for this position. Final compensation will be determined based on factors such as the candidate's experience, education and location. We also offer a comprehensive benefits package that includes three weeks of paid vacation per year; paid holidays; a 401(k)-retirement plan with employer matching; health, dental and vision insurance; and other supplemental benefits. Employment with Resource Innovations is contingent upon the successful completion of a comprehensive background check and reference check. If applicable to the position, a pre-employment drug screen may also be required. The above job description and job requirements are not intended to be all inclusive. Resource Innovations retains the right to make changes or adjustments to job descriptions and/or job requirements at any time without notice.

At Ramp, we’re rethinking how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it. Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 45,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year. Ramp’s investors include Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp has been named to Fast Company’s ___ list and LinkedIn’s ___ for more than 3 years, as well as the Forbes ___, CNBC ___, and TIME Magazine’s 100 ___. Growth engineering builds the applications that power nearly every growth channel at Ramp. As an engineer here, you’ll own applications at the frontier of sales technology - bridging the gap between raw information and tailored, actionable insights. You’ll partner with product, data, and design, and work directly with stakeholders across growth, sales, marketing, and finance to accelerate Ramp’s growth. This role offers the opportunity to shape Ramp’s growth engine with high ownership and direct impact. Check out our ___ to learn more about our tech stack, mission, and values! * Build software to grow Ramp to its next millions of users * Scale our sales and marketing functions through custom applications, automation, and AI assistance * Drive business outcomes through experiments and metric-driven software development * Work in a dynamic engineering team with partners in product, data, and design * Make important prioritization and scoping decisions that determine when we build custom solutions v.s. procure third-party products * Minimum of 3 years of experience in a software development role * Experience shipping fast, reliable applications using modern development tools and infrastructure * Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions * Ability to improvise and develop creative solutions when common approaches fail. Strong value of pragmatism over idealism in times of uncertainty * Perpetual curiosity and passion for honing your craft * Start up experience as a technical co/founder or early engineer * Experience with the modern data stack - including ETL tools like Fivetran, workflow orchestrators like Airflow, and data platforms like Snowflake * Experience with applying AI/LLMs in production use cases * Strong perspective on engineering development cycle (system design, documentation + testing, best practices for codebase development) * Understanding of the tools that power marketing/sales automation, personalization, and analytics * 100% medical, dental & vision insurance coverage for you * Partially covered for your dependents * One Medical annual membership * 401k (including employer match on contributions made while employed by Ramp) * Flexible PTO * Fertility HRA (up to $5,000 per year) * WFH stipend to support your home office needs * Wellness stipend * Parental Leave * Relocation support to NYC or SF (as needed) * Pet insurance If you are being referred for the role, please contact that person to apply on your behalf. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Location: Remote (U.S. Based) Type: Full-Time Team: Data & Analytics Reports To: VP, Process Innovation / Director of Process Innovation About RVH Solutions RVH Solutions is a healthcare analytics and technology company focused on helping hospitals improve financial and operational performance without compromising patient outcomes. We go beyond traditional analytics by transforming raw operational data—payroll, patient volume, and financials—into actionable insights that drive measurable improvements in labor productivity, throughput, and cost structure. Our team includes healthcare operators, data specialists, and engineers working together to solve complex operational challenges across hundreds of hospitals nationwide. The Role We are looking for a highly organized, detail-oriented Data Analyst to support our healthcare data pipeline (ETL process). This role is critical to ensuring that client data is accurate, standardized, and ready for analysis. You will work hands-on with raw datasets from hospitals—primarily payroll, volume, and general ledger (GL) data—cleaning, structuring, and validating information before it enters our analytics platform. This is an ideal role for someone who is: • Strong in Excel, • Naturally organized and methodical, • Comfortable working with messy, real-world data, • Interested in healthcare operations and financial performance Key Responsibilities Data Processing & ETL Support • Clean, standardize, and organize client datasets (payroll, volume, GL), • Identify missing, inconsistent, or anomalous data and resolve issues, • Align data to internal schemas and mapping structures, • Prepare datasets for ingestion into RVH analytics platforms, • Perform quality assurance checks to ensure data integrity Data Validation & Analysis • Conduct first-pass analysis to identify trends, anomalies, and potential issues, • Flag meaningful patterns or discrepancies to internal teams, • Support ongoing refinement of data models and transformation logic Workflow & System Support • Upload and manage client data within internal systems, • Assist with testing and validation of new features and enhancements, • Help improve data processing workflows and documentation Cross-Functional Collaboration • Work closely with product, analytics, and client teams, • Support internal and external stakeholders with data-related questions, • Contribute to training materials and process documentation Client Support (Light) • Assist in troubleshooting data-related client inquiries, • Help guide clients on data submission requirements and best practices What Success Looks Like • Client data is clean, complete, and consistently structured, • Data issues are identified early and resolved quickly, • ETL workflows run smoothly with minimal rework, • Internal teams trust the accuracy and reliability of processed data QualificationsRequired • Bachelor’s degree in Accounting, Finance, Information Systems, or related field, • (or 3+ years of relevant data experience), • Advanced Excel skills (required), • Pivot tables, lookups, data cleaning, large dataset handling, • Strong attention to detail and organizational skills, • Excellent problem-solving and critical thinking ability, • Ability to work with incomplete or imperfect data, • Strong communication skills and ability to collaborate across teams Preferred (Not Required) • Experience working with healthcare data, • Familiarity with:, • Payroll data, • General ledger (GL) structures, • Patient volume/utilization data, • Experience in hospital operations, finance, or labor productivity analytics, • Exposure to ETL processes or data pipelines Ideal Candidate Profile • “Gets satisfaction” from organizing messy data into clean structures, • Thinks logically and systematically, • Comfortable working behind the scenes in a high-impact role, • Not overly senior—hands-on, execution-focused, and detail-driven, • Thrives in a fast-moving, evolving environment Compensation • Salary: ~$47,000–$60,000 (based on experience), • Full-time position with growth opportunity within data, analytics, or product teams Why This Role Matters This role sits at the foundation of everything we do. Clean, accurate data is what allows RVH to generate insights that directly impact hospital performance, staffing decisions, and financial outcomes. • If you do this job well—you will directly influence how hospitals operate and improve care delivery.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Role: We're seeking a Data Scientist 2 to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints. You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions. You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do: • Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions., • Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale., • Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process., • Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift., • 2-4 years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred., • Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)., • Demonstrated experience building and iterating on machine learning models, including rigorous model validation and evaluation, • Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL., • Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety., • Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 3+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$120,000—$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that. The Company As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products. Job Overview: We are seeking a highly skilled Senior Data Engineer - DBX Platform (ML & Feature Engineering Focus) with a strong software engineering background to join our AI/ML Engineering GSI IT Team. In this role, you will be focused on building a DBX-based data platform that powers machine learning and advanced analytics. This role is ideal for someone who thrives at the intersection of data engineering, ML infrastructure, and software development, and is passionate about enabling scalable, production-grade feature engineering pipelines. Key Responsibilities: • Build and optimize DBX ETL/ELT pipelines for feature extraction, transformation, and loading from structured and unstructured data sources., • Collaborate with ML engineers, data scientists, and software developers to deliver reliable, reusable, and versioned feature sets., • Implement CI/CD pipelines, testing frameworks, and observability for data workflows., • Develop feature stores, metadata tracking, and lineage tools to support data Ops., • Ensure data quality, governance, and compliance across all data assets., • Optimize performance and cost-efficiency of DBX clusters and jobs for data workloads., • Contribute to the architecture and design of the data platform and feature engineering framework. Qualifications: • Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for DBX., • Expertise with libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, DBX, MLFlow, dvc, dbt) and the ability to select the right tools for the use case., • Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling., • Very good Azure and data & AI technology skills - specifically: DBX/ Python, Azure DBX Store, Azure AI Search., • Experience with DevOps practices, including Git, CI/CD using tools such as Azure Pipelines, or similar., • Several years of experience in machine learning, data science, or a related field, with a strong understanding of statistics and data analysis., • Experience with Azure especially with data and ML services, containerization (Docker. Preferred Qualifications: • Advanced Degree: Master's degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience., • Experience with Big Data: Strong proficiency with big data technologies such as Azure DBX and Spark., • Leadership Experience: Previous experience leading a team of data scientists or engineers. Benefits: • Competitive employee benefits, including comprehensive health insurance, dental and sports coverage, and opportunities for certified training., • Flexibility in work arrangements, including home office options and flexible working hours., • A positive, team-oriented environment that fosters mutual trust, creativity, and initiative., • Opportunities for career growth within a global, innovative framework., • A diverse, multicultural workplace with a strong emphasis on team collaboration and professional development. At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $104,200 - $152,800 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

Position Overview: We’re looking for a seasoned Senior Full Stack Software Engineer / Architect to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across both product and data domains. In this role, you’ll be expected to take ownership of mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable solutions, guide engineering execution, and ensure best practices across the stack. You should bring a strong software architecture background with deep proficiency in modern web technologies, API design, data modeling, and DevOps. The ideal candidate is a confident technical lead—capable of jumping into ambiguity, navigating legacy systems, and bringing structure to complexity. You’ll not only write high-quality code, but also help shape how we build and scale our platform. You’ll be responsible for: • Designing and building robust GraphQL and REST APIs and scalable backend services that are both internal and external facing, • Taking technical ownership of features across both product and data domains, • Leading projects involving full-stack web development, systems architecture, and data integration, • Developing data pipelines and ETL processes for ingesting, transforming, and delivering structured and semi-structured data, • Building or integrating internal tools and admin interfaces for data stewardship, data quality, and operational workflows, • Supporting data-driven features in existing applications and collaborating closely with stakeholders to embed insights in product experiences, • Designing technical solutions that support large-scale application growth, availability, and maintainability, • Providing technical leadership on complex engineering initiatives spanning multiple teams and systems, • Evaluating and integrating new technologies to solve business and platform challenges, • Working closely with Product and Data stakeholders to translate business requirements into scalable engineering solutions, • Promoting engineering excellence through code quality, performance tuning, testing best practices, and architecture documentation Ideal candidate requirements: Technical Skills • 7+ years of experience as a software engineer with a focus on full-stack and backend development, • Strong expertise in React, TypeScript, and Node.js., • Experience working with modern monorepo setups and modular architectures, • Comfortable building, supporting, and integrating with production-grade ETL/data pipelines, • Experience building data processing and integration logic within custom applications using languages such as Node.js, Python, or SQL, with attention to performance, scalability, and maintainability, • Familiarity with modern data tools and platforms such as AWS Glue, Snowflake, Apache Airflow, Databricks, or similar technologies, • Strong understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes), • Comfortable with test-driven development (TDD) and automated testing frameworks, • Deep understanding of software architecture principles (e.g., SOLID, DDD, DRY), • Experience with both greenfield and legacy systems Business Skills • Technically versatile and capable of leading projects across both application and data-focused initiatives, • Confident in navigating ambiguity and owning delivery from problem framing through execution, • Strong communication skills with an ability to bridge technical and non-technical stakeholders, • Demonstrated experience mentoring engineers and contributing to engineering culture and growth, • Experience in fast-paced startup or scaling environments, • Proactive in identifying architectural and systemic improvements, • Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Skills • Experience building or supporting admin tools and internal platforms, • Experience with data observability, schema governance, or data lineage tooling, • Exposure to machine learning pipelines, business intelligence tools, or product instrumentation, • Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: • Competitive Salary, • 100% Company-Paid Premiums for Employee’s Medical Health, Vision, and Dental Plans, • Short-term and Long-term Disability, • Life Insurance, • 401k Matching, • Work from Anywhere within the US, • Flexible PTO, • 100% Paid Parental Leave, • Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period, • Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.

About Blue River Technology We’re Blue River, a team of innovators driven to radically change agriculture by creating intelligent machinery. We empower our customers – farmers - to implement more sustainable solutions: optimize chemical usage, reimagining routine processes, and improving farming yields year after year. We believe that focusing on the small stuff – pixel-by-pixel and plant-by-plant - leads to big gains. By partnering with John Deere, we are innovating computer vision, machine learning, robotics and product management to solve monumental challenges for our customers. Our people are at the heart of what we do. Through cross-discipline collaboration, this mission-driven and daring team is eager to define the new frontier of agricultural robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on agriculture. We build the data backbone behind machines that are transforming agriculture. Blue River Technology — the team behind John Deere's See & Spray™ — uses computer vision and machine learning to help farmers reduce herbicide use and grow smarter. Our ML Platform team needs a Data Engineer to keep that intelligence flowing. Why Blue River? You'll work at the intersection of robotics, ML, and sustainability — backed by the scale of John Deere. This isn't data engineering in a vacuum. The pipelines you build directly power machines working in real fields, solving real problems. What you'll do • Own data pipelines end-to-end — ingestion, quality, performance, and reliability, • Optimise queries and shape data architecture across the ML development lifecycle, • Build and maintain ETL workflows that feed annotation, exploration, and model training, • Support infrastructure scalability across AWS (S3, DynamoDB, Lambda, SQS, and more), • Improve code quality through automation, testing, and peer reviews, • Collaborate directly with roboticists, backend engineers, and platform teams What you bring • 2+ years in backend engineering / data infrastructure, • Strong Python skills, • Hands-on experience with ETL pipelines and data architecture, • Solid grasp of relational and non-relational databases, • AWS services (S3, DynamoDB, EC2, Lambda, ECR, SQS, SNS), • Docker + CI/CD (GitHub Actions or Jenkins), • Clear communicator who documents well and works cross-functionally, • BS or MS Computer Science Bonus points • Databricks / Apache Spark, • Kubernetes in production, • Terraform or CloudFormation Compensation and Perks • This is a contractor role working with a small, collaborative team of 5, • Location preference is North America, Pacific time zone, • Hourly Rate starting at $70/hour #LI-JM1 #LI-Remote Thank you for considering this opportunity. Funded.club Senior Recruiters partner exclusively with Startups and are in direct communication with hiring managers and founding team members. Your application will be fully reviewed by a dedicated recruiter who will respond based on the matching of your experience and qualifications.

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 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 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 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 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., • 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., • Experience with Graph Databases (Neo4j, Neptune) for mapping complex client relationships., • Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk. 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 Powered by JazzHR c7BCdpIbIF

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 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 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 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 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 Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You’ll Do * Build and own our data infrastructure from the ground up — design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems * Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems * Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one * Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data — the foundation for analytics, ML, and intelligent product features * Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship * Implement DataOps best practices so our data — and the AI features built on top of it — stays timely, accurate, and trusted * Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions * Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You… * Have 3+ years of hands-on experience building production data pipelines using Python * Know your way around SQL and modern cloud data warehouses; experience with Snowflake or BigQuery is a plus * Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar — and have opinions on what good looks like * Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces * Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable * Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations — and have battle scars to show for it * Care deeply about data quality and observability — freshness, lineage, automated testing, and anomaly detection as first-class concerns * Have experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus, not required) * Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack * Have experience (or strong interest) in fintech, B2B SaaS, or financial data — understanding AR/AP workflows is a big plus Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $135K - $190K

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 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 DescriptionBenefits: • 401(k) matching, • Bonus based on performance, • Dental insurance Onsite Miami, Fl $135-160K base , 10% bonus Overview We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production. Primary Responsibilities/Essential Functions This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business. Qualifications Required: Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions. Proficiency in Python, SQL, and scripting languages (Bash, PowerShell). Deep understanding of big data tools (Hadoop, Spark) and ETL processes. Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake). Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization. Experience designing and managing data warehouses for performance and scalability. Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing. Preferred Strong experience in software architecture, design patterns, and code optimization. Expertise in Python-based pipelines and ETL frameworks. Experience with Azure Data Services and Databricks. Excellent problem-solving, analytical, and communication skills. Experience working in agile environments and collaborating with diverse teams.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) You will collaborate closely with Enterprise Technology, Information Technology, Security, Engineering, Data, People, and Finance teams to understand business requirements, translate them into technical specifications, and deliver integrations that enhance productivity, reduce manual work, and improve system accuracy. This role is ideal for someone who enjoys solving complex systems challenges, designing clean integration architectures, and building automation that scales As Staff Integrations Engineer (Enterprise Technology) at Maven, you will: • Design, build, and maintain and own integrations between enterprise SaaS systems, internal tools, identity platforms, and data services., • Cross functionally work with technical and non-technical partners driving projects, gathering requirements, system mapping creating, data validation, gathering buy-in and approval, stakeholder management., • Develop and own workflows, automation, and orchestration logic to streamline processes such as user lifecycle management, access provisioning, data synchronization, and operational workflows., • Evaluate integration approaches (API-based, event-driven, middleware, automation platforms, ETL/ELT) and select the right solution based on requirements for reliability, performance, and security., • Collaborate with IT, Product, and Engineering teams to define technical requirements, validate solution designs, and support high-quality delivery., • Troubleshoot integration failures, performance bottlenecks, and data inconsistencies, driving root-cause analysis and long-term fixes., • Create and maintain detailed documentation, including sequence diagrams, data flow diagrams, integration runbooks, and error-handling frameworks., • Work closely with Security to ensure integrations follow best practices for authentication, authorization, data minimization, and auditability., • Implement automation frameworks to improve provisioning, configuration management, lifecycle management, and endpoint operations., • Maintain architectural documentation including system diagrams, data flow models, configuration standards, and API specifications., • Support incident response and troubleshooting efforts as a senior escalation point for complex technical issues across enterprise systems., • 6–10+ years of experience building integrations or automation in enterprise environments, preferably within high-growth SaaS or cloud-native organizations., • Deep experience with Workato or other integration/automation platforms like Snaplogic or Boomi., • Deep experience with Okta or other Identity and Access Management products like OneLogic, JumpCloud., • Experience in other integration platforms such as BetterCloud or Zapier is a plus., • Solid understanding of enterprise SaaS ecosystems such as Google Workspace, Jamf, Atlassian, Slack., • Experience working with HRIS/Finance/CRM tools such as ADP and Salesforce., • Strong proficiency with APIs, webhooks, authentication standards (OAuth, SAML, SCIM), and event-driven or message-based architectures., • Experience developing integrations using languages such as Python, TypeScript/JavaScript, or similar., • Strong debugging, testing, and observability skills in production integration environments., • Experience designing fault-tolerant and scalable automation workflows with clear error handling and monitoring., • Excellent communication skills with the ability to explain technical topics to both technical and non-technical audiences. This role requires active work authorization in the US. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. This role is exclusively open to candidates in these locations. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. Location: NYC, New York - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. Key Responsibilities: • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica., • Design and implement data workflows on Snowflake or comparable cloud data platforms., • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations., • Write efficient, maintainable, and well-tested Python code following object-oriented principles., • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis., • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell., • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency., • Strong proficiency in Object-Oriented Python development., • Experience designing and executing ETL processes, preferably with Informatica., • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery., • Solid SQL skills for complex query writing and performance optimization., • Proficiency in scripting languages like Shell, Bash, or PowerShell., • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts., • Familiarity with software development best practices, source control, and CI/CD pipelines., • Experience working in Agile environments., • Full working proficiency with English (Written and Verbal) Preferred Qualifications: • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data engineering, analytics engineering, ETL/ELT workflows, pipeline orchestration, data quality testing, warehouse design, and structured technical documentation processes. This role supports current and upcoming remote consulting opportunities focused on structured data pipeline review, analytics engineering workflow analysis, orchestration assessment, data quality validation, warehouse documentation, and high-quality project execution. Selected professionals will apply their data engineering expertise to review realistic pipeline scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Pipeline Development & ETL/ELT Review • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, incremental logic, watermark behavior, transformations, and output tables, • Evaluate pipeline outputs against defined data contracts, expected table structures, source materials, and transformation requirements, • Support structured review of SQL models, dbt projects, pipeline documentation, transformation logic, and data processing workflows, • Review orchestration scenarios involving Airflow, Dagster, Prefect, scheduled jobs, DAG dependencies, retries, and workflow execution, • Evaluate data quality tests against known pass/fail cases, validation rules, test suites, and documented expectations, • Support structured review of data quality checks, pipeline test cases, orchestration documentation, and monitoring workflows, • Review warehouse design scenarios involving schemas, data models, performance targets, query-time budgets, partitioning, clustering, and storage design, • Evaluate schema designs against defined contracts, downstream requirements, performance expectations, and documented constraints, • Support structured review of data contracts, schema documentation, warehouse models, and analytics engineering artifacts Strong candidates may have: • 3+ years of experience in data engineering, analytics engineering, data platform engineering, BI engineering, warehouse engineering, or related technical roles, • Experience with one or more areas such as dbt model development, ETL/ELT pipelines, orchestration, data quality testing, warehouse design, schema documentation, incremental models, or data contracts, • Familiarity with tools and platforms such as dbt, Airflow, Dagster, Prefect, Snowflake, BigQuery, Redshift, Databricks, Spark, SQL, Python, or similar data engineering systems, • Comfort reading and preparing data engineering artifacts such as dbt models, DAGs, schema docs, data contracts, test suites, pipeline documentation, and warehouse diagrams, • Strong written communication skills and ability to explain data engineering reasoning clearly, • Bachelor's or master's degree in computer science, data engineering, information systems, software engineering, statistics, mathematics, or a related technical field is helpful, • Experience with dbt model development, data contracts, incremental models, data lineage, orchestration frameworks, or modern data stack workflows, • Familiarity with Snowflake, BigQuery, Redshift, Databricks, Spark, SQL optimization, Python-based pipelines, or cloud data platforms, • Experience preparing or reviewing DAGs, schema documentation, data quality tests, transformation logic, warehouse models, or pipeline runbooks, • Familiarity with CI/CD for data pipelines, data observability, testing frameworks, or performance tuning, • Apply data engineering and analytics engineering expertise to structured remote project work, • Contribute to high-quality pipeline review, data quality assessment, orchestration analysis, and warehouse documentation workflows, • Work on flexible, project-based assignments aligned with your professional background, • Use your data engineering judgment in a focused, detail-oriented consulting environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $95–$135 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job Description Role & Responsibilities: • Provide technical support for Earnix configuration, customization, and integration with enterprise pricing systems and workflows, • Collaborate with actuarial, data, and IT teams to design and implement architecture supporting pricing and rating processes, • Work with solution architects and system engineers to optimize end-to-end pricing lifecycle, including data ingestion, model deployment, and monitoring, • Develop, enhance, and maintain Earnix-based pricing models and decisioning systems, • Ensure performance, scalability, and reliability of Earnix solutions in production environments, • Support integration with upstream/downstream systems (e.g., policy admin systems, data warehouses, APIs), • Participate in testing, validation, and deployment of pricing models, • Troubleshoot and resolve technical and functional issues in pricing applications, • Bachelor's or master's degree in computer science, Actuarial Science, Mathematics, Engineering, or related field, • 5+ years of experience in insurance technology or pricing systems development, • Prior experience in Earnix implementation projects is highly preferred, • Strong experience with platforms like Earnix (configuration, modeling, deployment), • Proficiency in Python and data handling for large datasets, • Experience with APIs, system integration, and microservices architecture, • Knowledge of cloud platforms is a plus, • Knowledge of data pipelines, ETL processes, and data modeling, • Solid understanding of P&C insurance pricing and underwriting processes, • Exposure to actuarial modeling, rating algorithms, and risk segmentation, • Familiarity with regulatory and compliance considerations in insurance pricing, • Strong analytical and problem-solving skills, • Ability to work collaboratively in cross-functional teams, • Excellent communication and stakeholder management skills, • Detail-oriented with a focus on quality and accuracy

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data science, analytics engineering, business intelligence, SQL analysis, experimentation, data engineering, and structured data workflow review. This role supports current and upcoming remote consulting opportunities focused on structured data science review, analytics workflow analysis, business intelligence assessment, experimentation review, data pipeline evaluation, metric documentation, and high-quality project execution. Selected professionals will apply their data and analytics expertise to review realistic technical scenarios, evaluate analytical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Analytics, BI & Metric Review • Review data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputs, • Evaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirements, • Support structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summaries, • Review experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteria, • Evaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standards, • Support structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materials, • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentation, • Evaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirements, • Support structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentation Strong candidates may have: • 3+ years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professional, • Working fluency in at least two areas such as advanced SQL, dbt, data warehousing, Snowflake, BigQuery, Redshift, experimentation, A/B testing, pipeline orchestration, metric modeling, or Python for analysis, • Familiarity with tools such as SQL, Python, dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Mode, Hex, Metabase, Power BI, or similar data and analytics systems, • Comfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentation, • Strong written communication skills and ability to explain data decisions clearly, • A degree or professional background in data science, statistics, mathematics, computer science, economics, engineering, business analytics, information systems, or a related quantitative field is helpful, • Experience in product, consumer, SaaS, marketplace, fintech, e-commerce, or data-mature company environments, • Familiarity with experimentation frameworks, metric governance, data quality monitoring, warehouse design, pipeline orchestration, or modern data stack workflows, • Experience preparing or reviewing SQL queries, dbt models, experiment readouts, dashboards, schema diagrams, funnel analyses, cohort reports, or data documentation, • Experience with Python-based analysis, statistical testing, data modeling, analytics engineering, or pipeline QA, • Apply data science and analytics expertise to structured remote project work, • Contribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysis, • Work on flexible, project-based assignments aligned with your technical background, • Use your data judgment in a focused, detail-oriented technical environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $75–$130 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description Job description: Full Stack Web Developer This Position is ON SITE in Brooklyn, NY 11218. All applicants MUST be able to commute to our office location. IF YOU REQUIRE ANY CURRENT OR FUTURE SPONSORSHIP PLEASE DO NOT APPLY. About Us At Focus Camera, we fuel creativity, support our partners, and deliver an exceptional customer experience. Guided by our core values—teamwork, responsibility, excellence, adaptability, and results—we collaborate to build robust, scalable solutions that drive growth and empower our teams. Role Overview We’re seeking a results‑driven Full Stack Developer to join our engineering team and work alongside our technical lead on critical data and application solutions across our e‑commerce and operational platforms. Your primary focus will be enhancing and maintaining our proprietary ERP / CRM system (SPEX), building ETL pipelines, backend services, and BI dashboards to ensure data accuracy, performance, and usability. Key Responsibilities • Contribute to the design, development, and enhancement of our proprietary ERP (Spex), delivering intuitive and responsive experiences for internal users, • Build and deploy ETL pipelines using PHP and MySQL to feed data warehouses and analytics platforms, • Develop backend services and APIs in Laravel to support internal workflows and tools, • Create responsive frontend components with Vue.js and Bootstrap for dashboards and internal applications, • Implement and maintain data models in MySQL, and collaborate on SQL Server/SSIS integrations as needed, • Monitor and troubleshoot error rates, performance bottlenecks, and security issues across applications, databases, and infrastructure, • Work with Content, Platforms, Purchasing, and other teams to gather requirements and deliver enhancements on an agile cadence, • 5+ years of professional software development experience, • Proficiency in at least one programming language and one SQL dialect, • Familiarity with PHP, MySQL, JavaScript, and modern version control tools (e.g. Git), • Hands‑on experience with relational databases and data‑warehousing principles, • Exposure to CI/CD pipelines and automated testing frameworks, • 3+ years with PHP and the Laravel framework, • 3+ years with MySQL schema design and optimization, • 3+ years with JavaScript frameworks, especially Vue.js (or similar), • Competitive salary and comprehensive benefits package, • A key contributor role on the ongoing development of our ERP system, Spex, • Professional development support, including training and certifications

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. About the Role: We are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide array of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms. You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data infrastructure to build robust, scalable data models. These models are critical for stakeholders across the company—from finance and operations to the executive team—and are delivered via BI tools, reports, and reverse ETL systems. What You'll Do: • Own the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics., • Set Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability., • Enable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products., • Integrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business., • 4+ years of experience in analytics engineering or data engineering with a strong focus on the "T" (transformation) in ELT., • Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models., • Comfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment., • Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency., • Technical Versatility:, • Expert-level SQL and DBT skills for complex queries and data transformations., • Proficiency in Python for transformations that extend beyond SQL., • Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg)., • Proficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer)., • Experience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git)., • Experience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow)., • Domain experience for brokerage operations or a passion for financial markets and modelling financial datasets.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 Description Does getting in on the ground floor as an initial stakeholder, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands, to millions of dollars, that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. The need role is for a data-savvy individual to join the Data Science team as the first Data Analyst, on the team. This person will create consumer-focused research content and support user-centric product development and growth based on real-time feed of data sets and data points. Our ideal candidate is a sharp, thoughtful problem solver, who enjoys identifying key business levers and challenges, and then building analytical frameworks with under to impact strategic decision making. Will use big data and machine learning to help clients make decisions in a completely unprecedented way. The responsibility of the Data Analyst will be to decipher the data to find the insights and patterns that matter the most. KEY RESPONSIBILITIES · Interpret data, analyze results using statistical techniques and provide ongoing reports · Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality · Acquire data from primary or secondary data sources and maintain databases/data systems by working with the data procurement team · Identify, analyze, and interpret trends or patterns in complex data sets · Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems · Write SQL/Hive/Spark queries to extract necessary data and present the information in a data visualization platform such as Tableau. Datorama, DOMO or similar to generate business insights. · Proactively perform data exploration on user behavior to discover future testing opportunities. · Work collaboratively with a cross-functional team (Product, Marketing & Engineering) to solve complex business/product/marketing problems. · Create and manage business/operational dashboards to monitor business line performance. QUALIFICATIONS · Proven working experience as a data analyst or business data analyst · Technical expertise regarding data models, database design development, data mining and segmentation techniques · Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) · Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) · BS in Mathematics, Economics, Computer Science, Information Management or Statistics · Bachelor’s degree in a quantitative field · You have extensive experience using SQL and Tableau, Looker or similar is a Plus. · You understand experimentation, hypothesis testing, and causal inference · Experience in Deep Learning and Machine Learning algorithms is a plus It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Job Code F1726IT Department Name IT Infrastructure Reports To Manager, DevOps FLSA Status Exempt Union Code N/A Management No About Us: About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 185,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. The Funds oversees and manages $11 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people. 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Job Summary: Under the supervision of the Manager, DevOps and in close partnership with the Senior Database Administrator, the Junior Database Administrator provides day-to-day operational support for on-premises and cloud database environments. This role is designed as a developmental position that supports ongoing database migrations, system modernization, and daily operational tasks while building hands-on experience in enterprise database administration. The Junior DBA assists with database maintenance, monitoring, documentation, and troubleshooting, and gradually assumes increased responsibility as skills and experience grow. Essential Duties and Responsibilities: Essential Duties and Responsibilities: • Assist with the administration and support of Microsoft SQL Server (on-premises and Azure SQL) environments., • Assist with administration and support environments that may include PostgreSQL or other modern database platforms as adopted by the Development team., • Perform routine database maintenance tasks, including backups, restores, monitoring, performance tuning (e.g., updating statistics, index maintenance, etc.) and health checks., • Support database availability, integrity, performance, and reliability under the guidance of the Senior DBA., • Assist in patch management and version upgrades., • Participate in high-availability and disaster recovery testing., • Support SQL Agent jobs and scheduled processes., • Assist with user access provisioning and periodic access reviews., • Support enforcement of least-privilege database permissions., • Monitor database activity alerts and escalate anomalies., • Assist with encryption configuration (at rest and in transit)., • Support vulnerability remediation efforts., • Assist with compliance, audit requests, and evidence collection related to database operations., • Follow established change management, incident management, and operational procedures., • Assist with database and application migrations from legacy operating systems and platforms to supported environments., • Gain hands-on exposure to Azure SQL, Azure data services, and DevOps workflows., • Participate in Infrastructure-as-Code and CI/CD database deployment workflows., • Contribute to automation initiatives to reduce manual operational tasks., • Support data validation, testing, and post-migration verification activities., • Help maintain migration documentation, runbooks, and checklists., • Assist with basic SQL development tasks, including queries, stored procedures, and performance troubleshooting under supervision., • Support ETL, data movement, and integration tasks using existing tools and frameworks., • Assist in supporting Azure-based data services as skills develop., • Participate in learning and supporting new database technologies aligned with organizational standards., • Participate in continuous improvement initiatives, • Contribute to knowledge-sharing within the team, • Maintain and update system documentation, operational procedures, and inventory records., • Work closely with DevOps, application development, and infrastructure teams., • Learn from and be mentored by the Senior Database Administrator., • Participate in project meetings and technical discussions as appropriate., • Build skills to support increased responsibility over time., • Perform tasks as required by management/supervisory staff., • Provide support after hours, and on weekends as needed. Qualifications (Competencies): Qualifications (Competencies): • 1–3 years of experience in IT operations, systems administration, application support, or database support, • Working knowledge of relational databases, preferably Microsoft SQL Server, • Basic SQL skills and understanding of database concepts, • Familiarity with database backup, restore, and monitoring tools, and database security fundamentals, • Familiarity with Windows or Linux server environments, • Experience working with ticketing systems and IT service management processes, • Strong troubleshooting, documentation, and communication skills, • Exposure to Azure SQL or cloud-based database platforms, • Exposure to PostgreSQL or interest in supporting open-source databases, • Basic understanding of data integration or ETL concepts, • Experience working in Agile or DevOps environments Soft Skills (Interpersonal Skills): Soft Skills (Interpersonal Skills): • Detail oriented with excellent organization and analytical skills., • Ability to plan and take initiatives to accomplish objectives in timely fashion., • Ability to prioritize work and meet deadlines., • Ability to establish and maintain effective working relationships with peers, project team members, supervisors, and employees from other departments., • Strong documentation and communication skills. Education: Education: Associate’s or Bachelor’s degree in Computer Science, Information Technology, or a related field or equivalent hands-on experience. Language Skills: Language Skills: Speak, read, write and understand English Reasoning Ability: Reasoning Ability: High Certificates, Licenses, Registrations: Certificates, Licenses, Registrations: Microsoft, Azure, or database-related certifications are a plus but not required. Shift Shift Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling, • Over 2/3 of the time: Talking or Hearing, • 100% of the time: Using Hands Work Environment: Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • 1/3 to 2/3 of the time: Work near moving or mechanical parts, exposure to radiation, moderate noise.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Role We're seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints. You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions. You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions., • Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale., • Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process., • Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift., • 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred., • Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)., • Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement., • Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL., • Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact., • Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety., • Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job DescriptionCompany Description Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world. Job Description The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues. This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership. Primary Responsibilities • Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions, • Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows., • Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery., • Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings., • Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls., • Drive improvements in automation, data validation, transparency, and modernization of risk processes.Qualifications Required Qualifications and Experience • Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments., • Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization., • Python experience for data processing, analytics, and automation., • Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems., • Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows., • Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts., • Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams., • Experience with risk platforms, pricing engines, or market data systems., • Familiarity with structured credit or whole loan analytics., • Experience working with cloud platforms such as Azure or Snowflake., • Understanding of credit and market risk regulatory frameworks., • Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes. Additional Information

Job DescriptionCompany Description For More Open Positions Visit us at: Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership. Benefits • Medical Insurance, • Vision Insurance, • Dental Insurance, • 401(k), • Paid Sick hoursJob Description We are seeking an experienced DevOps Engineer to assist with the maintenance, development, and implementation of one of our Intranet systems. The candidate must have a solid development background across multiple technical disciplines including J2EE web application development, Java client/server development, and Database Development. We are looking for a java developer who has Alteryx experience or related ETL tool Qualifications Requirements: • 9+ years in DevOps, web based related system development including Java experience in developing or maintaining intranet systems., • The below experience is required for a successful candidate in the below priority order, • Priority 1: Database Experience – Oracle based data modeling, SQL, Procedure development, DB tuning experience, • Priority 2: Front-End Development Experience – preferably with Kendo UI with VUE, • Priority 3: Back-End Development Experience – Java(Spring Boot) backend API development, • Priority 4: ETL: Alteryx Experience Qualifications: • Bachelor’s degree in Computer science or related discipline with an information technology focus, • API development experiences are plus, • ETL development experience with ETL Tools (Alteryx, Oracle Data Integrator, MS SQL SSIS, etc.) preferred, • BI reporting tool (Tableau, MS Power BI, etc.) development experiences are preferred, • Full lifecycle of ETL implementation understanding preferred (analysis, architecture, design, development, data extraction, staging and storage, transformation, presentation, testing, cutover/go-live planning), • Bilingual (Korean and English) required in order to work with outsourced development team in South Korea Salary: $110K-$125K (DOE) a year Additional Information All your information will be kept confidential according to EEO guidelines. * NO C2C *