Data Engineer

Data / Analytics Engineer Type: Contract, W2 Only - USC or GC Holders only Duration: 4 months until mid-december, potential to extend but not determined at this time. Rate: $65-$75/hour Location: Remote - based out of ATL, GA Optomi, in partnership with a leader in the healthcare revenue space, is seeking a Data Analytics Engineer to join their growing team! This team is building the platform foundation and semantic layer from the analysts' specs. Responsibilities include: • Connecting source systems into the enterprise data platform. • Integrating data through APIs or file transfers depending on the source. • Following established data architecture standards. • Building standardized pipelines within Databricks. • Federating cleaned data into Snowflake. • Repeating this integration process across roughly twenty different product data sources. The client noted: • Most of the work is already documented. • Engineers simply need to execute the established process repeatedly. Must-have Experience • Strong SQL + data engineering (ELT/ETL pipeline development) • Databricks — Spark/PySpark, Delta Lake, notebooks/jobs (standardization layer) • Snowflake — SQL, warehouses/roles, and ideally semantic views / semantic models • Data modeling — dimensional modeling, SCD Type 2 history, marts • Cross-platform data federation (Databricks ? Snowflake) • Python for pipelines; Git/DevOps version control, testing Nice-to-have • Snowflake Cortex / AI features and semantic-view definitions • Healthcare RCM domain • Transformation frameworks (e.g., dbt), performance tuning, data-platform ingestion frameworks Key deliverables: ingestion to the data platform, landing/SCD2, Databricks standardization, pseudo/metric marts, Snowflake federation, semantic views + Executive Intelligence data assets, Cortex enablement.