Senior Data Engineer

Blu Omega LLC; Atlanta (GA, WA); Hybrid; USD 150,000 - 165,000; Full time

Benefits offered by this job

401(k) with company match

Company-paid Life and AD&D

Job summary

Blu Omega LLC in the United States is seeking a Senior Data Engineer to design and optimize enterprise data platforms. You will build scalable ETL/ELT pipelines using Python and SQL, and work with Databricks and Azure Data Factory to deliver data solutions across health and federal programs.

The role requires 8+ years in data/ software engineering, 6+ years with Python/SQL, and 1+ year with Databricks. You will support hybrid on-site work in Atlanta, GA, or DC metro areas, with Public Trust

Qualifications

• 8+ years of experience in data engineering, software engineering, database architecture, or related field.

Responsibilities

• 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.
• 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.

Skills

Python

SQL

APIs

Relational databases

NoSQL

Data modeling

Data quality

Governance

Security

Compliance

CI/CD

Cloud data processing

Education

Bachelor’s degree in Computer Science/Engineering/IS

Tools

Databricks

Azure Data Factory

Azure data services

Job description

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.

What you’ll do

• 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

What you bring

• 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 NoSQL 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

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

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 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

Compensation and program overview

The salary range for this position is $150,000.00 - $165,000.00. 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.