Data Engineer

Required Skills Pyspark Azure Data Factory Github Snowflake Role Summary Senior, hands on data engineering contractor to support Modern data platform delivery across Health Payer Domains. This role requires independent ownership of end to end data pipelines using modern cloud and Lakehouse architecture. This is a hit the ground running role with minimal ramp up. Key Responsibilities Design, build, and operate end to end data pipelines Source ingestion ? transformation ? analytics ready datasets Develop transformations and data models using SQL and Python Implement automated data quality checks and validations Follow Git based development Collaborate with business/domain stakeholders on data rules and definitions Ensure solutions are secure, auditable, reliable, and supportable Produce clear technical documentation and operational notes Required Technologies (Must Have) Candidates must have strong, recent hands on experience with most of the following: Languages SQL Python (PySpark preferred) Data Platforms / Storage Cloud data platforms (Azure preferred; AWS/GCP acceptable) Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent Object storage based data lakes Parquet format Lakehouse concepts (Iceberg and/or Delta) Transformation & Modeling dbt (dbt Core and/or dbt Cloud) Source Control, GitOps & CI/CD GitHub Pull request based development CI/CD pipelines (GitHub Actions or equivalent) Compute (one or more) Snowflake Microsoft Fabric Databricks #J-18808-Ljbffr