Job description

Senior Data Engineer Hybrid - Atlanta, GA or Washington, DC Blu Omega is seeking a Senior Data Engineer to support the CDC/DMAC program. This role is responsible for designing, building, and optimizing enterprise data solutions supporting mission-critical federal programs. Program Overview This project supports the CDC's mission to enhance public health through data-driven decisions. Key Details Location: Hybrid (primarily in Atlanta, GA or Washington, DC / Maryland / Virginia area) - 1 day per week onsite Clearance / Suitability: Public Trust eligibility required 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 operational processes 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. Required Qualifications • 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 building scalable ETL/ELT pipelines. • 2+ years of experience working with Azure data services, including Azure Data Factory. • 1+ years of hands-on experience with Databricks or similar modern data processing platforms. • 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 Atlanta, GA or the Washington, DC Metro area. • Must be a U.S. Citizen or Lawful Permanent Resident. 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 Salary Range: $150,000.00 - $165,000.00 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 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. #CJ #LI-Hybrid

Requirements

Must-haves

Senior Data Engineer
Hybrid - Atlanta, GA or Washington, DC
Blu Omega is seeking a Senior Data Engineer to support the CDC/DMAC program. This role is responsible for designing, building, and optimizing enterprise data solutions supporting mission-critical federal programs.
Program Overview
This project supports the CDC's mission to enhance public health through data-driven decisions.
Location: Hybrid (primarily in Atlanta, GA or Washington, DC / Maryland / Virginia area) - 1 day per week onsite
Clearance / Suitability: Public Trust eligibility required
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 operational processes 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.
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 building scalable ETL/ELT pipelines.
2+ years of experience working with Azure data services, including Azure Data Factory.

Nice-to-haves

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.

Application prep

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Keywords to mirror

pythonsqlazureci/cdmachine learning

Platform: bullhorn
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Wellness