Senior Data Engineer

Senior Data Engineer – Data PlatformEmployment Type: Full-Time, Direct HireLocation: World Trade Center, New York, NYWork Arrangement: Hybrid – Onsite 3 days per week

Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
"US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”
We are seeking a hands-on Senior Data Engineer to build, scale, and operate production-grade data pipelines and warehouse infrastructure in a fast-paced healthcare technology environment.Key ResponsibilitiesEnd-to-End Data Engineering: Own data platform workstreams from requirements gathering and architecture design through development, deployment, and production support.Data Pipeline Development: Build reliable, scalable pipelines using Python and advanced SQL, with a focus on data quality, failure recovery, backfills, and idempotency.Data Warehousing: Design, develop, and optimize data warehouse solutions using Snowflake or similar modern cloud data platforms.Healthcare Data Integration: Work with data from EHR systems such as Epic Clarity and athenahealth, including ODBC-based data sources.Data Modeling & Transformation: Transform raw data into curated, trusted datasets using SQLMesh, dbt, or similar frameworks.Workflow Orchestration: Build and manage data workflows using Temporal, Airflow, Prefect, or comparable orchestration tools.Cloud Infrastructure: Leverage AWS and modern data integration tools such as Fivetran to support scalable data ingestion and processing.Performance & Governance: Monitor pipeline reliability, optimize warehouse performance and costs, and implement appropriate data access controls.Technical Leadership: Contribute to architecture decisions, review designs and code, mentor engineers, and collaborate with product and customer-facing teams.Production Ownership: Monitor and troubleshoot live pipelines, maintain service-level expectations, and participate in production support and on-call rotations.Qualifications5+ years of experience building and operating production data systems.Strong Python and advanced SQL skills.Hands-on experience with modern data warehouses and workflow orchestration tools.Experience owning complex data pipelines from design through production.Healthcare data, EHR integrations, RCM, HL7/FHIR, claims data, and HIPAA/PHI experience are strong advantages.What’s Offered: Competitive compensation, attractive benefits, and the opportunity to make a meaningful impact on a growing healthcare technology platform. xzbcwsv Interested candidates are encouraged to reach out to discuss the opportunity.