Databricks Engineer

Databricks Engineer

Remote

Blu Omega is seeking a Databricks Engineer to support enterprise data engineering, analytics, and modernization initiatives for mission-critical federal programs. This role is responsible for designing and maintaining scalable data pipelines and analytics solutions within cloud-based enterprise environments.

Program Overview

This program supports data-driven modernization efforts for a federal agency.

Key Details

Location: Remote

Clearance / Suitability: Public Trust eligibility required.

Responsibilities

• Design, develop, and maintain scalable Databricks data pipelines using PySpark, Spark SQL, Delta Lake, and Unity Catalog.
• Configure, operate, and optimize Databricks clusters, jobs, and workflows to support performance, reliability, and cost efficiency.
• Develop and maintain modular SQL transformations and data pipelines using dbt and modern data engineering practices.
• Integrate Databricks solutions with CI/CD pipelines, version control, and enterprise SDLC processes.
• Implement data quality, validation, monitoring, and observability practices to support accurate and reliable data.
• Collaborate with stakeholders, data engineers, and technical teams to translate business requirements into scalable data solutions.
• Support cloud-based data architectures and compliance with established security and governance standards.

Required Qualifications

• Bachelor's degree and 3+ years of experience in data engineering or analytics engineering.
• 2+ years of hands-on experience with the Databricks platform.
• Strong experience developing data pipelines using PySpark, Spark SQL, and Python.
• Experience with Databricks clusters, jobs, workflows, Delta Lake, and Unity Catalog in production environments.
• Experience developing modular SQL transformations and managing data dependencies using dbt.
• Experience integrating Databricks with CI/CD pipelines, Git, and enterprise SDLC tools.
• Knowledge of cloud platforms such as AWS, Azure, or GCP and associated data services.
• Experience implementing data quality, validation, and performance optimization practices.
• Ability to work effectively in structured, compliance-driven environments.
• Strong analytical, troubleshooting, communication, and collaboration skills.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.

Preferred Qualifications

• Experience supporting federal government or regulated industry programs.
• Experience implementing machine learning or AI solutions in Databricks, including MLflow.
• Knowledge of streaming data pipelines, data quality frameworks, or observability tools.
• Databricks or cloud platform certifications.

Compensation

Salary Range: $100,000.00 - $115,000.00

Final compensation is based on technical skills, experience, education, certifications, and clearance.

Blu Omega Benefits & Perks

• Medical, Dental, and Vision coverage through national providers
• 401(k) with company match (eligible after 6 months; vesting applies)
• Company-paid Life and AD&D insurance with additional voluntary options
• Short-term disability (company-paid) and long-term disability options
• Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
• Telehealth and virtual care options available through medical plans
• Pet insurance, legal services, and identity theft protection options
• Paid Time Off (PTO) for eligible employees
• Paid federal holidays for salaried employees
• Access to wellness programs, discounts, and lifestyle benefits

Benefits eligibility and offerings may vary based on role, employment status, and program requirements.

Company Overview

Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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