Staff AI & Data Engineer (Databricks) - Remote

Eliassen Group

Madison (WI)

Remote

USD 110,000 - 124,000

Full time

3 days ago
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Job summary

Eliassen Group is seeking a Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks in a remote contract role. The position emphasizes creating trusted data products, semantic layers, and governance across pipelines while enabling cross-domain analytics and AI agent readiness.

The ideal candidate has deep Databricks experience, strong Python/SQL skills, and familiarity with CI/CD, data quality, and Unity Catalog.

Qualifications

  • Advanced hands-on experience with Databricks, Spark, Delta Lake, and SQL.
  • Experience building scalable batch and streaming data pipelines.
  • Strong Python and SQL development skills.
  • Experience with Unity Catalog and governed data environments.
  • Knowledge of CI/CD, automated testing, and production deployment.

Responsibilities

  • Design and build production-grade data pipelines on Databricks.
  • Ingest data from enterprise applications, databases, APIs, SaaS platforms, files, and other source systems.
  • Build Bronze/Silver/Gold medallion architectures and implement CDC.
  • Standardize types, codes, units, keys, and business definitions across sources.
  • Implement data quality, lineage, observability, and monitoring.
  • Develop AI-ready Gold data products with ownership and quality information.
  • Support automated deployment and promotion using Databricks Asset Bundles and CI/CD.

Skills

Databricks
Apache Spark
Delta Lake
SQL
Python
AWS
CI/CD
Data quality
Data governance
Unity Catalog
GenAI
MCP
Git workflows

Tools

Databricks Lakeflow

Job description

Eliassen Group is seeking a Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks in a remote contract role. The position emphasizes creating trusted data products, semantic layers, and governance across pipelines while enabling cross-domain analytics and AI agent readiness.

The ideal candidate has deep Databricks experience, strong Python/SQL skills, and familiarity with CI/CD, data quality, and Unity Catalog.

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