JOBSEARCHER

Data Engineer

RaiseDenver, COL5 SeniorSeptember 14th, 2026
Data / Analytics Engineer (Build) Contract Length: 3 monthsWork Type: RemoteRaise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.OverviewThe ideal candidate will possess a strong background in SQL, data engineering, and advanced data platform technologies, with experience in Databricks and Snowflake.ResponsibilitiesConstruct and maintain the platform foundation and semantic layer based on analysts' specifications.Develop and optimize ELT/ETL pipelines using advanced SQL and data engineering methodologies.Harness Databricks capabilities, including Spark/PySpark, Delta Lake, notebooks, and jobs for standardization.Utilize Snowflake tools, including SQL, data warehouses, roles, and ideally semantic views/models.Design and implement data models, focusing on dimensional modeling and SCD Type 2 history.Enable cross-platform data federation between Databricks and Snowflake.Develop Python pipelines and manage version control, testing, and continuous integration using Git/DevOps practices.Must-Have QualificationsStrong 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 modelsData modeling — dimensional modeling, SCD Type 2 history, martsCross-platform data federation (Databricks ↔ Snowflake)Python for pipelines; Git/DevOps version control, testing/CINice-to-Have QualificationsSnowflake Cortex / AI features and semantic-view definitionsHealthcare RCM domainTransformation frameworks (e.g., dbt), performance tuning, data-platform ingestion frameworksKey DeliverablesDevelop comprehensive ingestion processes to the data platform.Implement data landing and SCD Type 2 solutions.Standardize data using Databricks and manage pseudo/metric marts.Ensure Snowflake federation and develop semantic views for Executive Intelligence data assets.Enable Cortex features and optimization.