Senior Data Engineer

Senior Data Engineer

Location:

Preference will be given to candidates located in Atlanta, GA or the D.C. Metro area. US Citizen or Legal Permanent Resident required per government contract. Clearance:
Eligible for Public Trust Clearance. Target Salary: $147,000 annually, plus benefits.

The DMAC EDAV Team is seeking (2) Senior Data Engineers. In this position you will play a critical role within the organization, helping to manage and transform complex data ecosystems to provide scalable, analysis‑ready solutions that inform senior leadership decisions. You will be at the technical forefront of data pipeline development, data architecture, and infrastructure optimization, ensuring that the organization’s analytical operations rest on a robust and secure foundation.

This is a role for a highly technical and driven individual capable of building enterprise‑level data management systems that support current and future data science initiatives. Your expertise will enable critical insights, informing strategies, optimizing data processes, and facilitating efficient decision‑making. You will work alongside a team of data scientists, operational leaders, and infrastructure architects to maintain the integrity, scalability, and performance of critical data systems within the organization.

• Design, implement, and maintain enterprise‑grade ETL/ELT pipelines using Python and SQL
• Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
• Develop processes for ingesting, cleaning, validating, and transforming large‑scale datasets from APIs, relational sources, and unstructured systems
• Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
• Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
• Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
• Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability

• 8+ years of experience in data engineering, software engineering, or database architecture
• 6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
• 2+ years of experience with cloud data ecosystems like Azure Data Factory
• 1+ years of experience with modern data processing frameworks like Databricks
• Experience with integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
• Knowledge of relational and No
  
  SQL databases, data modeling, and schema design
• Knowledge of data governance, security, and compliance principles for enterprise data environments
• Bachelor’s degree in computer science, Engineering, Information Systems, or a related, quantitative field

• Experience with supporting key data engineering efforts in a government-related environment
• Experience with collaborating with data scientists and analysts to define data models that meet evolving organizational goals
• Knowledge of IT infrastructure practices and data access methodologies
• Knowledge of advanced data security practices, governance policies, and compliance frameworks
• Previous CDC Experience
• Certifications such as Azure Data Engineer Associate

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.