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Remote role plus common Data Engineer title increases candidate competition despite non-Tier-1 brand.
Core data engineering skills transfer across industries, but healthcare/regulatory experience raises domain specificity.
Requires specific tech stack (AWS, Snowflake, Spark, Python) and staff-level expertise, so strict filtering applies.
Design, develop, and operate scalable cloud-based data pipelines and processing for ELLKAY’s shared Data Platform and Data Lake.
Convert Data Platform architecture into production-ready ingestion, transformation, data-quality, and data-serving capabilities using AWS, Snowflake, Spark, SQL, Python.
Support healthcare data onboarding, develop reusable pipeline templates, implement monitoring, testing, and provide mentorship to junior engineers.
Strong hands-on experience in data engineering and cloud data platforms.
Experience with production-grade ingestion and transformation pipelines using AWS, Snowflake, Spark or equivalent.
Strong SQL and Python skills.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building batch, streaming, incremental data pipelines and handling complex or regulated datasets.
Comfortable implementing data quality, reconciliation, metadata, monitoring, and CI/CD processes.
Able to mentor others and collaborate with architects, product teams, and senior engineers in a healthcare data environment.