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Senior Databricks Platform Engineer

Quantico, VA · On-site

$140K - $165K/yr

We are seeking a highly skilled Senior Databricks Platform Engineer to design, implement, and ... Must hold a certification such as Databricks Certified Developer or Databricks Certified ...

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$80.3K

$163.5K

How much do senior databricks developer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior databricks developer in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.
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Senior Databricks Developer jobs near you
Infographic showing various Senior Databricks Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Databricks Engineer

Techvilla Solutions

Indian Trail, NC • On-site

$96K - $132K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Roles & Responsibilities
  • Develop, enhance, and optimize data solutions using Azure Databricks.
  • Build and support enterprise data applications, integrations, and pipelines.
  • Design and review technical/data-flow solutions.
  • Collaborate with architects, analysts, and data scientists on data products.
  • Perform code reviews, testing, deployment, troubleshooting, and production support.
  • Optimize complex data solutions and provide technical guidance.
  • Maintain technical documentation for downstream integrations.
  • Identify opportunities to improve data platforms, processes, and technologies.
  • Participate in Agile/Scrum and Sprint activities.
Required Skills
  • 5–10 years of experience in Data Engineering, Data Integration, or Data Warehousing.
  • Strong hands-on experience with Azure Databricks.
  • Strong knowledge of the Azure ecosystem.
  • Proficiency in SQL and Python or Scala.
  • Practical experience with data modeling and data-driven KPIs.
  • Experience with ETL/ERP technologies such as Informatica, IICS, Cognos, Netezza, or similar.
  • Experience with Azure Synapse, Power BI, Azure ML, or similar analytics platforms.
  • Experience with data integration, data pipelines, testing, deployment, and production support.
Preferred Skills
  • Experience with Azure DevOps and GitHub.
  • Strong problem-solving and independent decision-making skills.
  • Bachelor's degree in Computer Science, Engineering, or related field.

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