Top Hybrid Data & Analytics Jobs

Design, build, test, and maintain batch and streaming data pipelines; ingest data from varied sources; write SQL and Python transformations; monitor data quality and observability; support analytics, reporting, and data science; participate in code reviews, troubleshooting, and production support; collaborate with stakeholders to deliver scalable data solutions.

Own the 2-3 year architecture and reliability of high-volume catalog, pricing, and inventory ingestion. Lead migrations from legacy batch to modern systems, define data SLAs, build observability and orchestration, mentor senior engineers, and resolve cross-team, high-severity data problems.

Owner of enterprise data health: monitor and enforce data quality across CRM, AMS, ERP, data warehouse and integrations. Maintain system-of-record registry, track ownership gaps, validate integration fidelity, support SDLC reviews, produce data health scorecards and executive reports, and drive issue resolution through Service Desk with stakeholders and technical teams.

Lead architecture and evolution of Cardlytics' AWS-based data compute platform and lakehouse. Define standards for batch, streaming, ML, and AI workloads; build semantic layer, feature store, and governance. Partner with analysts and engineers, drive CI/CD (Terraform, GitHub Actions), monitoring, security, cost governance, and incident response while mentoring teams and shaping platform strategy.

Design, build, and maintain scalable AWS-based data architecture and pipelines. Manage Redshift models and schemas, ensure data quality and observability, automate ETL/ELT using Glue, Lambda, dbt and other tools, collaborate with Data Science and Analytics, document pipelines, and mentor peers to support reliable self-service analytics.

Work on the data team writing SQL and building pipelines and dashboards to ensure data quality, investigate errors, and support ML/LLM workflows. Use AI/LLM tools to generate and validate large datasets and research inputs for models, collaborating with engineering to improve data infrastructure. Part-time onsite role for a local college or MBA student.

Operate, optimize, and scale Better Collective’s DMP and contextual targeting solutions. Build and manage audience segments, profile inventory for scale and brand suitability, collaborate with sales and product teams to translate data into commercial insights, and ensure privacy/compliance alignment across markets.

Translate raw data into actionable insights using SQL, Excel, QlikSense and AI tools. Build and validate reports, support business-critical analyses, optimize data ingestion pipelines, and collaborate with executives, engineers, and analysts to inform strategic decisions.

Drive data-led growth for US loans: analyze and optimize acquisition channels, design price tests, forecast and allocate volume, validate commercial hypotheses, and implement changes using SQL and analytics tools.

Design, build, and administer CMAP’s enterprise GIS platform, data pipelines, APIs, and analytical frameworks; set standards, deliver training, create self-service spatial tools, and collaborate with stakeholders to integrate spatial analysis into planning workflows.