Senior Data Engineer (onsite)

Senior Data Engineer
Atlanta, GA or Washington, DC - ONSITE
Compensation: $140,000.00 - $155,000.Security Clearance: Must be able to obtain Public Trust
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. 
Key Responsibilities:
•    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
You Have:
•    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 NoSQL databases, data modeling, and schema design
•    Knowledge of data governance, security, and compliance principles for enterprise data environments
•    Ability to support on-site work in Atlanta, GA or Washington, DC
•    Bachelor’s degree in computer science, Engineering, Information Systems, or a related, quantitative field
Nice If You Have:
•    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
•    Certifications such as Azure Data Engineer Associate
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.

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