Senior Data Engineer - Azure, DataBricks, Python

Technology Navigators; Austin (TX); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Technology Navigators in NW Austin is seeking a Senior Data Engineer to join their hybrid team for high-impact data initiatives. The role requires hands-on Azure Databricks, Python development, and extensive data warehousing experience to support regulated financial services projects.

Ideal candidates bring strong knowledge of data governance, MDM, semantic layers, data quality, and metadata/ lineage, with experience in Databricks and lakehouse platforms.

Qualifications

• 3+ years hands-on experience with Azure Databricks.
• 10+ years of experience in data warehousing environments
• 3+ years of hands-on Python development experience.
• Practical experience using Azure DevOps or Jira for workflow tracking.
• Hands-on fluency with modern data ecosystems, including Databricks/lakehouse platforms, data governance, MDM, semantic layers, data quality, and metadata/lineage.
• Background in regulated or financial services environments strongly preferred.

Skills

Azure Databricks

Python

Data warehousing

Azure DevOps

Jira

Data governance

MDM

Semantic layers

Data quality

Metadata/ lineage

PySpark

Tools

Azure Databricks

Databricks

Azure DevOps

Jira

Job description

No sponsorship available. No third-party candidates.

• Please note this is a hybrid role in NW Austin - 3 days on-site

This company has proven its staying power throughout its many successful years in business and their remarkable growth rates show no signs of slowing down anytime soon.

Our client in Austin, Texas is seeking a Senior Data Engineer to join their team for high-impact upcoming projects. Backed by a multibillion-dollar valuation and a strong presence in the financial industry, they offer stability and continuous growth.

Must-Have Qualifications

• Minimum 3 years of hands-on experience with Azure Databricks.


• At least 10 years of experience in data warehousing environments


• Minimum 3 years of hands-on Python development experience.


• Practical experience using Azure DevOps or Jira for workflow tracking.


• Hands-on fluency with modern data ecosystems, including Databricks/lakehouse platforms, data governance, MDM, semantic layers, data quality, and metadata/lineage.


• Background in regulated or financial services environments strongly preferred.

Nice-to-Have Qualifications

• PySpark experience is a plus.