GAC Solutions
W2 Only - Databricks Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a W2 Only - Databricks Data Engineer, contract length unspecified, offering a competitive pay rate. Key skills include Python, PySpark, SQL, Databricks, Delta Lake, and experience in healthcare data engineering, pipeline development, and DevOps practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#PySpark #GitHub #Data Pipeline #DevOps #Scala #Databricks #Data Modeling #Delta Lake #Azure #Kafka (Apache Kafka) #Spark (Apache Spark) #SQL (Structured Query Language) #Data Governance #Data Engineering #Python #Spark SQL
Role description
We are hiring a Databricks Senior Data Engineer to support PBM UDAP initiatives in the healthcare domain.
This role will be responsible for building, optimizing, and maintaining scalable data pipelines and curated data products that support analytics, reporting, and operational use cases in a PBM environment.
The ideal candidate will have strong hands-on expertise in Python, PySpark, SQL, Databricks, Delta Lake, and Medallion Architecture, along with experience in pipeline development, performance tuning, workflow orchestration, data modeling, and data governance.
This role also requires familiarity with Kafka/event streaming, system design concepts, and DevOps practices using GitHub Actions or Azure Pipelines.
Experience working with modern orchestration tools such as Prefect is preferred.
The successful candidate will partner closely with architects, product teams, and business stakeholders to deliver high-quality, scalable, and governed data engineering solutions.
We are hiring a Databricks Senior Data Engineer to support PBM UDAP initiatives in the healthcare domain.
This role will be responsible for building, optimizing, and maintaining scalable data pipelines and curated data products that support analytics, reporting, and operational use cases in a PBM environment.
The ideal candidate will have strong hands-on expertise in Python, PySpark, SQL, Databricks, Delta Lake, and Medallion Architecture, along with experience in pipeline development, performance tuning, workflow orchestration, data modeling, and data governance.
This role also requires familiarity with Kafka/event streaming, system design concepts, and DevOps practices using GitHub Actions or Azure Pipelines.
Experience working with modern orchestration tools such as Prefect is preferred.
The successful candidate will partner closely with architects, product teams, and business stakeholders to deliver high-quality, scalable, and governed data engineering solutions.
