Senior Data Engineer Databricks

Inceed; Greenwood Village (CO); Remote; USD 119,000 - 145,000; Full time

Benefits offered by this job

Competitive benefits package

Job summary

Inceed is partnering with a great company to hire a Senior Data Engineer on a Databricks lakehouse platform. This role offers ownership of architecture, scalable pipelines, and collaboration with data, BI, and enterprise teams to deliver trusted data for reporting and AI use cases.

You will drive with hands-on engineering, modernizing workloads, and optimizing performance and costs while maintaining governance and robust CI/CD practices.

Qualifications

• 8+ years of experience in data engineering, warehousing, or BI.
• 5+ years building production platforms on Databricks or Spark.
• Advanced knowledge of Delta Lake and Databricks workflows.
• Experience migrating legacy data platforms to modern cloud architecture.

Responsibilities

• Own the technical design of the Databricks lakehouse platform.
• Build and optimize pipelines using PySpark, Spark SQL, and Delta Live Tables.
• Design enterprise data models and gold-layer reporting structures.
• Support migration from legacy SQL Server, SSIS, Synapse, and ADF workloads.
• Implement Unity Catalog governance and data access controls.
• Tune performance, reliability, and cloud costs across the platform.
• Establish CI/CD, testing, and environment promotion standards.
• Partner with business users and BI teams on self-service analytics.
• Review offshore partner work and maintain engineering quality.
• Document architecture decisions and operational runbooks.

Skills

Databricks

PySpark

Spark SQL

SQL

Tools

Delta Live Tables

Delta Lake

Unity Catalog

Job description

Compensation:

$119-$145k, depending on experience

Location:

Remote

Inceed has partnered with a great company to help find a skilled Senior Data Engineer Databricks to join their team!

This is an exciting opportunity to take ownership of a growing Databricks lakehouse platform and help shape its long-term architecture. You’ll work closely with data, BI, and enterprise architecture teams to build scalable pipelines, modernize legacy workloads, and deliver trusted data for reporting and AI use cases. If you enjoy hands-on engineering with real ownership, this role offers a chance to make a meaningful impact.

Key Responsibilities & Duties:

• Own the technical design of the Databricks lakehouse platform.
• Build and optimize pipelines using PySpark, Spark SQL, and Delta Live Tables.
• Design enterprise data models and gold-layer reporting structures.
• Support migration from legacy SQL Server, SSIS, Synapse, and ADF workloads.
• Implement Unity Catalog governance and data access controls.
• Tune performance, reliability, and cloud costs across the platform.
• Establish CI/CD, testing, and environment promotion standards.
• Partner with business users and BI teams on self-service analytics.
• Review offshore partner work and maintain engineering quality.
• Document architecture decisions and operational runbooks.

Required Qualifications & Experience:

• 8+ years of experience in data engineering, warehousing, or BI.
• 5+ years building production platforms on Databricks or Spark.
• Strong hands-on experience with PySpark and Spark SQL.
• Experience owning the design of an enterprise data platform.
• Advanced knowledge of Delta Lake and Databricks workflows.
• Experience with dimensional modeling and star schema design.
• Strong SQL skills, including complex stored procedure analysis.
• Experience migrating legacy data platforms to modern cloud architecture.
• Hands-on experience with Unity Catalog and data governance.
• Ability to remain technical and hands-on in day-to-day development.
• This opportunity includes a comprehensive and competitive benefits package—details will be shared during later stages of the hiring process.

Other Information:

• This position can be fully remote
• This position requires a background check and drug test

Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.