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Data engineering & Databricks / UTIS-DATA-US-007

Senior Data Engineer – Application Development (Azure)

Join an onsite team at a global semiconductor company to build Azure Databricks data pipelines, REST APIs, Streamlit interfaces and data-driven applications.

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Region
San Diego, California, United States
Work arrangement
Onsite
Engagement type
Independent contractor with UTIS (1099)
Working hours
Standard US Eastern Time business hours.
Posted
July 7, 2026
Applications
Open until filled
Openings
2

What you will work on

  • Build reliable Azure Databricks pipelines and ETL/ELT workflows for factory, engineering and enterprise data.
  • Implement Delta Lake medallion patterns, Unity Catalog and sound warehouse/data-model design.
  • Integrate Azure Data Factory, ADLS Gen2 and Synapse Analytics.
  • Develop REST APIs, Python applications, Streamlit interfaces and Databricks Apps.
  • Support cloud-native Azure applications and AKS services.
  • Translate business requirements into technical specifications and facilitate technical reviews.
  • Collaborate with the Data Architect and Product Owner, apply formal governance and document decisions.
  • Use Git, automated testing, Azure DevOps CI/CD and peer review.

What you bring

  • 7+ years of Azure data engineering with deep Azure Databricks experience.
  • Delta Lake, Unity Catalog, Workflows, Databricks SQL and production ETL/ELT.
  • Strong Python, SQL, data modeling and warehousing.
  • REST API development and integration; Streamlit applications.
  • Azure Data Factory, ADLS and Synapse Analytics.
  • Client-facing requirements analysis, documentation and clear written and verbal communication.
  • Ability to work onsite in San Diego during Eastern Time business hours.
  • Authorized to work in the United States.

Useful additional experience

  • Azure data-engineering or Databricks Data Engineer credentials.
  • Azure DevOps, Databricks Asset Bundles, Git and CI/CD.
  • Azure OpenAI, AI/ML, generative AI and MLOps exposure.
  • Docker, Azure App Services, AKS or MATLAB/scientific-workload migration.
  • Manufacturing, sensor, equipment or process-data experience.

Engagement details

  • Client onboarding includes background and drug screening plus IT and security provisioning.
  • Client confidentiality and export-control requirements apply.