Staff AI & Data Engineer on Databricks — Remote

Eliassen Group

Lansing (MI)

Remote

USD 110,000 - 124,000

Full time

3 days ago
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Benefits offered by this job

Medical, Dental, Vision benefits
401k with company matching
Life insurance

Job summary

Eliassen Group is seeking a Staff AI & Data Engineer to design and implement enterprise-grade data and AI solutions on Databricks. This hands-on contract role focuses on strengthening the Databricks platform, onboarding new data sources, building reusable ingestion and transformation frameworks, and delivering trusted Gold-layer data products.

You will work across pipelines, modeling, data quality, governance, semantic layers, and AI agents, with W2 benefits and a market-rate hourly pay.

Qualifications

  • Advanced hands-on experience with Databricks, Spark, Delta Lake, and SQL.
  • Strong Python and SQL development skills.
  • Experience building scalable batch and/or streaming data pipelines.
  • Deep understanding of Bronze/Silver/Gold medallion architectures.
  • Experience with Unity Catalog and governed data environments.
  • Familiarity with Git-based development, CI/CD, and automated testing.
  • Experience building AI/GenAI solutions against enterprise data.

Responsibilities

  • Design and build production-grade data pipelines on Databricks.
  • Ingest data from enterprise applications, databases, APIs, SaaS platforms, files, and other sources.
  • Build Bronze, Silver, and Gold medallion architectures.
  • Implement data quality, lineage, and governance.
  • Develop AI-enabled data products and agent-ready capabilities.
  • Support CI/CD deployments with Databricks Asset Bundles.

Skills

Databricks
Apache Spark
Delta Lake
SQL
Python
AWS (EMR & Bedrock)
Data pipelines
Data quality & governance
CI/CD & Git
GenAI integration

Tools

Lakeflow
Unity Catalog
MCP
Git
CI/CD tooling

Job description

Eliassen Group is seeking a Staff AI & Data Engineer to design and implement enterprise-grade data and AI solutions on Databricks. This hands-on contract role focuses on strengthening the Databricks platform, onboarding new data sources, building reusable ingestion and transformation frameworks, and delivering trusted Gold-layer data products.

You will work across pipelines, modeling, data quality, governance, semantic layers, and AI agents, with W2 benefits and a market-rate hourly pay.

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