Remote Databricks Engineer - Scalable Data Pipelines

Blu Omega Inc.

Ashburn (VA)

Remote

USD 80,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Medical, Dental, Vision
401(k) with company match
Life and AD&D insurance
Disability coverage
EAP & mental health resources
Telehealth
PTO and holidays
Wellness discounts

Job summary

Blu Omega Inc. is seeking a Databricks Engineer to design, build, and operate scalable data pipelines in a remote environment.

You will support a federal program focusing on data analytics and mission-critical government operations, using PySpark, Delta Lake, and Unity Catalog. The role requires 3+ years in data engineering and 2+ years with Databricks, plus strong Python skills and cloud platform knowledge.

Qualifications

  • 3+ years in data engineering, analytics, or related technical roles.
  • 2+ years hands-on experience with the Databricks platform.
  • Strong experience developing data solutions using PySpark and Spark SQL.
  • Experience with Databricks clusters, jobs, workflows, Delta Lake, and Unity Catalog in production.
  • Experience designing automated data pipelines and transformation workflows.
  • Experience integrating Databricks with CI/CD pipelines and SDLC tooling.
  • Proficient in Python for data engineering and ML workflows.
  • Knowledge of AWS, Azure, or GCP data services.
  • Understanding of data quality, monitoring, and production support.

Responsibilities

  • Design, build, and maintain scalable Databricks data pipelines with PySpark, Spark SQL, Delta Lake, and Unity Catalog.
  • Develop automated ingestion, transformation, and processing workflows for analytics and reporting.
  • Operate and optimize Databricks clusters, jobs, and workflows for reliability and cost efficiency.
  • Integrate Databricks with CI/CD pipelines for automated deployments and testing.
  • Implement data quality, validation, and observability frameworks.
  • Monitor pipelines and production workloads to identify and resolve issues.
  • Collaborate with stakeholders to translate requirements into technical solutions.
  • Create and maintain documentation for data pipelines, architecture, and operations.

Skills

Databricks experience
PySpark
Spark SQL
Python
Analytical skills
Collaboration
Problem solving
Public Trust eligibility

Education

Bachelor’s degree in CS/DS/Engineering

Tools

Databricks
Delta Lake
Unity Catalog
CI/CD tooling

Job description

Blu Omega Inc. is seeking a Databricks Engineer to design, build, and operate scalable data pipelines in a remote environment.

You will support a federal program focusing on data analytics and mission-critical government operations, using PySpark, Delta Lake, and Unity Catalog. The role requires 3+ years in data engineering and 2+ years with Databricks, plus strong Python skills and cloud platform knowledge.

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