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

Senior Data Engineer

Job Description