Top Data & Analytics Jobs

Support secondary government data projects, survey programming, data collection/panel management, and reporting. Assist research staff, attend meetings, and maintain project records under supervision.

Provide 24x7 support for client-facing systems with focus on data quality, reliability, and integrations. Design and build Intapp Integrate integrations, develop SQL for extraction/reconciliation, script automation (PowerShell/Python/C#), deploy and maintain applications, perform testing, monitoring, performance tuning, documentation, and stakeholder collaboration to meet business requirements and ensure secure, scalable data workflows.

Normalize, structure, and verify datasets for import into Material Bank systems. Prepare, compile, transcribe and correct data (including JSON), resolve data conflicts, and maintain database integrity while responding to information requests.

Design, develop, and maintain OBIEE (RPD, reports, security, tuning) and Informatica ETL components (PowerExchange, data quality, replication, metadata). Work with Oracle 10g/11g, SQL/PLSQL, and data warehouse/data mart implementations. Support BI Publisher, upgrades, and migrations.

Hands-on Informatica developer responsible for MDM implementation and data integration using Informatica PowerCenter and Data Quality. Work with Oracle and SQL/PLSQL on Linux/Unix environments. Requires 8-10 years IT experience, minimum 2 years MDM, strong communication, independence, and a BE or equivalent.

Own and scale the data platform powering ReadyOn's real-time labor OS. Design and operate batch and real-time pipelines, transformations, and data services (Python, PySpark, Airflow, Glue, Snowflake, Postgres). Build connectors, observability, data quality, and feature-store infrastructure while partnering with AI, backend, and product teams and providing technical leadership and mentorship.

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Design, build, and maintain automation workflows and data pipelines across admissions, education, career services, and billing. Create BI dashboards, ensure data accuracy, manage lightweight databases (e.g., Supabase), and support cross-functional teams to improve operational efficiency and scalability.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.