Senior Data Engineer

Blu Omega Inc.; Ashburn (VA); Hybrid; USD 150,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Life Insurance

Disability insurance

EAP & mental health support

Job summary

Blu Omega Inc. is seeking a Senior Data Engineer to design, build, and optimize enterprise data solutions for mission-critical federal operations.

The role is hybrid, primarily onsite one day per week in the Atlanta, GA or Washington, DC Metro area, and supports CDC/DMAC programs. You will develop scalable data pipelines, data models, and lakehouse implementations using Databricks and Microsoft Azure, with emphasis on data quality and governance, delivering trusted analytics across the

Qualifications

• 8+ years in data engineering, software engineering, or related field.
• 6+ years with Python and SQL, building scalable ETL/ELT pipelines.
• 2+ years with Azure data services including Azure Data Factory.
• 1+ years with Databricks or similar platforms.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data models, warehouses, and lakehouse environments.
• Ingest, clean, transform large-scale datasets from APIs, relational databases, files, and unstructured sources.
• Implement data quality, governance, and security practices.

Skills

ETL/ELT pipelines

Cloud analytics

Data modeling

Collaboration

Education

Bachelor’s degree in Computer Science/Engineering/IS

Tools

Python

SQL

Databricks

Azure Data Factory

Microsoft Azure

Job description

This Senior Data Engineer role supports the CDC/DMAC program by designing, building, and optimizing enterprise data solutions for mission-critical federal operations. The position is hybrid, primarily onsite one day per week, based in the Atlanta, GA or Washington, DC Metro area.

Role Summary

In this position, you will develop and maintain scalable data engineering solutions that enable trusted enterprise analytics. Work includes ETL/ELT pipeline development, lakehouse and warehouse implementation with Databricks, and cloud-based data solution delivery within Microsoft Azure.

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 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.

Required Qualifications

• 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 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.
• 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.

Location and Clearance

• Location: Hybrid (primarily in Atlanta, GA or Washington, DC / Maryland / Virginia area), 1 day per week onsite.
• 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