Sr Data Engineer

Blu Omega LLC supports data modernization and analytics initiatives for federal agency data needs, and this role helps deliver enterprise-scale data platforms in a hybrid work environment based in Ashburn, VA 20147 or the greater Washington, DC / Maryland / Virginia area.

You will design, build, and optimize ETL/ELT and lakehouse-ready architectures, partnering with cloud engineering and cross-functional teams to help ensure data is integrated, governed, and usable for analytics, reporting, and data science.

What you’ll do

• Design, develop, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
• Build, optimize, and manage scalable data models, including data warehouses, data lakes, and lakehouse environments using Databricks
• Ingest, clean, validate, transform, and integrate large-scale datasets from APIs, relational databases, flat files, and unstructured sources
• Create data schemas and models that support analytics, reporting, and data science initiatives
• Implement data quality, metadata management, governance, and security controls to support trustworthy data
• Collaborate with cloud engineering teams to deploy and manage solutions in Microsoft Azure
• Monitor, troubleshoot, and optimize pipeline performance and reliability using logging, alerting, and CI/CD practices
• Partner with data scientists and analysts to support evolving analytical requirements
• Document architecture, pipeline logic, data flows, and procedures to improve maintainability

What you bring

• 8+ years of experience in data engineering, software engineering, or related technical roles
• 6+ years hands-on experience with Python and SQL, including scalable ETL/ELT pipeline development
• 2+ years experience with cloud data ecosystems such as Azure Data Factory
• 1+ years experience with modern data processing and lakehouse technologies such as Databricks
• Strong knowledge of data integration across diverse sources and formats
• Understanding of relational and NoSQL databases, data modeling, and architecture
• Familiarity with data governance, security, and compliance principles
• Bachelor’s degree in a related field
• Must be a U.S. Citizen or Lawful Permanent Resident
• Public Trust eligibility required

Benefits

• 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

Preferred qualifications

• Experience supporting federal government or regulated environments
• Prior experience with CDC data environments
• Cloud or data engineering certifications, such as Microsoft Azure certifications

Compensation

Salary Range: USD 150,000 - 165,000 per year.

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

Key technologies

• Python, SQL, Databricks, Microsoft Azure, Azure Data Factory
• ETL, ELT, CI/CD