Senior Data Engineer

Blu Omega LLC supports mission-critical federal programs through technology and cybersecurity solutions for agencies and enterprise clients nationwide. As a Woman-Owned Small Business (WOSB) headquartered in Ashburn, VA, the team helps deliver results across civilian and defense sectors, including health
. This hybrid role supports the CDC/DMAC program, focused on enabling data-driven public health decisions. The Senior Data Engineer position offers a salary range of $150,000 to $165,000 and eligibility requires Public Trust
.

Working from Atlanta, GA or the Washington, DC / Maryland / Virginia area, you will be on-site 1 day per week
. The role is designed for experienced engineers who want to build and optimize enterprise data platforms in cloud and modern data processing environments.

• Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL
• Build and optimize data models
  , data warehouses
  , and lakehouse environments with Databricks
• Ingest, clean, validate, and transform large datasets from APIs
  , relational databases
  , flat files
  , and unstructured sources
• Implement data quality
  , metadata management
  , and governance controls to support trusted analytics
• Develop and manage cloud-based data solutions in Microsoft Azure
  , including Azure Data Factory
• Monitor, troubleshoot, and optimize pipelines for performance
  , scalability
  , and reliability
• Support automated deployment and operational workflows using logging
  , alerting
  , and CI/CD practices
• Collaborate with data scientists, analysts, engineers, and business stakeholders to translate data needs into technical solutions
• Document data architecture, pipeline logic, data models, and operational procedures

• 8+ years of experience in data engineering, software engineering, database architecture, or a related technical field
• 6+ years hands-on experience with Python and SQL
  , including scalable ETL/ELT pipeline development
• 2+ years experience with Azure data services
  , including Azure Data Factory
• 1+ years hands-on experience with Databricks or a similar modern data processing platform
• Experience integrating and transforming data from APIs
  , flat files
  , relational databases
  , and other sources
• Strong understanding of relational and No
  
  SQL databases, data modeling, and schema design
• Knowledge of data quality
  , governance
  , security
  , and compliance practices
• Ability to troubleshoot and optimize data pipelines
• Bachelor’s degree in Computer Science
  , Engineering
  , Information Systems
  , or a related field
• Ability to support on-site work in Atlanta, GA or the Washington, DC Metro area
• Must be a U.S. Citizen or Lawful Permanent Resident

• Prior CDC or federal government experience supporting health data initiatives
• Experience working with data scientists and analysts on data models supporting analytics and machine learning
• Knowledge of enterprise infrastructure and data access methods
• Experience with advanced data security, governance, and compliance frameworks
• Microsoft Azure or related data engineering certification

• 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 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

The salary range for this position is $ - $. Final compensation is based on technical skills, experience, education, certifications, and clearance. This project supports the CDC’s mission to enhance public health through data-driven decisions, and Public Trust eligibility is required.

Technologies: Python, SQL, Databricks, Microsoft Azure, Azure Data Factory.