Senior Data Engineer

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 work. This position is hybrid, with primary onsite presence 1 day per week in the Atlanta, GA area or Washington, DC Metro region.

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 on 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.
• Collaborate 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 hands-on experience with Python and SQL, including building scalable ETL/ELT pipelines.
• 2+ years experience 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 Atlanta, GA or the 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 collaborating 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.

Location and Clearance Details

• Location: Hybrid, primarily in the Atlanta, GA or Washington, DC / Maryland / Virginia area. Onsite 1 day per week.
• Clearance / Suitability: Public Trust eligibility required.

Compensation

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

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

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