Mid/Senior Data Engineer, AWS Focus, MongoDB Migration & Ingestion
Job Description:
• This is a remote position, U.S.-based only (remote U.S.).
• Participate in the PostgreSQL/MySQL to MongoDB migration and build product-grade ingestion pipelines for form fills and metadata from a suite of products, enabling seamless ingestion and metrics for internal teams and the client admin portal.
Requirements:
• Plan/execute phased migration (data modeling, backfills, CDC/dual‑writes, validation, cutover).
• Own product data ingestion: capture form fills and product metadata via APIs/webhooks/streams; define schemas/data contracts; ensure idempotent, validated, PII‑safe loads into MongoDB/Timescale.
• Enable Power BI datasets, dashboards, and reports for internal KPIs.
• Implement data quality & observability (tests, reconciliation, lineage, SLAs/SLOs).
• Apply security & compliance best practices; complete HIPAA training (provided).
• Qualifications 3/5+ years data engineering with 3+ years MongoDB and 3+ years PostgreSQL/MySQL.
• Proven relational to NoSQL database migration experience in production.
• Hands‑on ingestion experience (webhooks/REST, queues/streaming, CDC, batch).
• Strong Power BI (models, DAX; DirectQuery/Import).
• Python + advanced SQL; Git/CI/CD.
• Very low error tolerance: methodical, test‑first and clear communicator.
• Nice to have TimescaleDB familiarity (hypertables, retention, compression).
Benefits:
• Competitive pay
• Ability to grow and advance your career
• Work on cutting edge and exciting projects
Apply tot his job
Apply To this Job
• This is a remote position, U.S.-based only (remote U.S.).
• Participate in the PostgreSQL/MySQL to MongoDB migration and build product-grade ingestion pipelines for form fills and metadata from a suite of products, enabling seamless ingestion and metrics for internal teams and the client admin portal.
Requirements:
• Plan/execute phased migration (data modeling, backfills, CDC/dual‑writes, validation, cutover).
• Own product data ingestion: capture form fills and product metadata via APIs/webhooks/streams; define schemas/data contracts; ensure idempotent, validated, PII‑safe loads into MongoDB/Timescale.
• Enable Power BI datasets, dashboards, and reports for internal KPIs.
• Implement data quality & observability (tests, reconciliation, lineage, SLAs/SLOs).
• Apply security & compliance best practices; complete HIPAA training (provided).
• Qualifications 3/5+ years data engineering with 3+ years MongoDB and 3+ years PostgreSQL/MySQL.
• Proven relational to NoSQL database migration experience in production.
• Hands‑on ingestion experience (webhooks/REST, queues/streaming, CDC, batch).
• Strong Power BI (models, DAX; DirectQuery/Import).
• Python + advanced SQL; Git/CI/CD.
• Very low error tolerance: methodical, test‑first and clear communicator.
• Nice to have TimescaleDB familiarity (hypertables, retention, compression).
Benefits:
• Competitive pay
• Ability to grow and advance your career
• Work on cutting edge and exciting projects
Apply tot his job
Apply To this Job