Blu Omega is seeking a Senior Data Engineer to support the CDC/DMAC program by designing, building, and optimizing enterprise data solutions for mission-critical federal programs. This is a hybrid role based in the Atlanta, GA or Washington, DC area, with primarily onsite work 1 day per week. The position focuses on scalable data engineering practices across ETL/ELT, data platforms, governance, and operational reliability.
Role Overview
You will contribute to enterprise data solutions for federal health data needs, translating data requirements into technical designs and maintaining production-grade pipelines. Responsibilities span pipeline development, data modeling, lakehouse/warehouse construction, ingestion and transformation at scale, and documentation of architecture and operational procedures.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
- Build and optimize data models, data warehouses, and lakehouse environments using Databricks.
- Ingest, clean, validate, and transform large-scale datasets from APIs, relational databases, flat files, and unstructured sources.
- Implement data quality, metadata management, and governance controls to support trusted enterprise analytics.
- Develop and manage cloud-based data solutions within Microsoft Azure, including Azure Data Factory.
- Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability.
- Support automated deployment and operations using logging, alerting, and CI/CD practices.
- Partner with data scientists, analysts, engineers, and business stakeholders to translate data requirements into scalable technical solutions.
- Document data architecture, pipeline logic, data models, and operational procedures.
Requirements
- 8+ years of experience in data engineering, software engineering, database architecture, or a related technical field.
- 6+ years of hands-on experience with Python and SQL, including scalable ETL/ELT pipeline development.
- 2+ years working 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 NoSQL databases, data modeling, and schema design.
- Knowledge of data quality, governance, security, and compliance practices.
- Experience troubleshooting and optimizing data pipelines.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Ability to support on-site work in the Atlanta, GA or Washington, DC Metro area.
- Must be a U.S. Citizen or Lawful Permanent Resident.
- Public Trust eligibility required.
Technologies
- Python
- SQL
- Databricks
- Microsoft Azure
- Azure Data Factory
- CI/CD
Preferred Qualifications
- 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.
Compensation and Location
Location: Ashburn, VA (hybrid). This role supports the Atlanta, GA or Washington, DC area, with primarily onsite 1 day per week.
Salary range: $150,000 - $165,000 per year.
Final compensation is based on technical skills, experience, education, certifications, and clearance/suitability.
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
