The Senior Data Engineer designs, builds, and maintains scalable data ingestion, transformation, and serving layers to deliver governed, reusable datasets for analytics, ML, and operational use cases.
Job Location: Remote
Pay Range: $150,000 to $185,000
Main Responsibilities:
Develop robust ETL/ELT pipelines and data models aligned to enterprise standards and data contracts.
Write performant SQL/Python; optimize storage/compute for cost and speed.
Implement automated testing, data quality checks, and observability (lineage, metrics, alerts).
Collaborate with MDM, Metadata, Analytics, and Security on trust, discoverability, and compliant access.
Document sources, transformations, data products, and runbooks.
Define patterns/reference architecture/ implementations; lead complex integrations/migrations.
Embed security/privacy controls (masking, tokenization, RBAC/ABAC); mentor engineers.
Independently leads projects; acts as tech lead; ensures cross-team alignment.
Streaming (Kafka/Kinesis/Event Hubs), CDC, micro-batch; Data Quality & lineage platforms
Qualifications:
6+ years relevant; certifications a plus.
Bachelor’s Degree or equivalent work experience (One-year relevant experience is equivalent to one-year college)
Preferred Qualifications:
Advanced SQL; Python/Scala; dbt; orchestration (Airflow/ADF/Prefect); dimensional & data vault; IaC basics (Terraform/Bicep).
DWH/lakehouse basics (Parquet/Delta)
Familiarity with Modern Cloud Architecture (Azure, AWS)
Familiarity data contracts, CI/CD for data.