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About the Role
This role is for a Senior Data Engineer who will 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, building enterprise-level data management systems to support current and future data science initiatives.
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
Requirements
- 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
- 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
Skills
- Python
- SQL
- ETL/ELT pipelines
- Databricks
- Azure Data Factory
- Data modeling
- Data warehousing
- Lakehouse environments
- Data ingestion
- Data cleaning
- Data validation
- Data transformation
- APIs
- Relational sources
- Unstructured systems
- Data quality
- Metadata management
- Data governance
- Cloud engineering
- Azure
- CI/CD practices
- Relational databases
- NoSQL databases
- Schema design
- Data security
- Compliance principles
Location
- Atlanta, GA
- Washington, DC
Work Type
- On-site
Experience Level
- Senior
- 8+ years of experience
- 6+ years of experience
- 2+ years of experience
- 1+ years of experience
Education Level
- Bachelor’s degree in computer science, Engineering, Information Systems, or a related, quantitative field
Salary/Compensations
- USD $110,000.00/Yr. Up to USD $120,000.00/Yr.
Benefits
- Robust employee benefits program
- Management engagement
- Quality leadership
- Atmosphere of teamwork
- Recognition for performance
- Promotion opportunities
About the Company
- Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, strives for Extraordinary People and Exceptional Performance.
- The company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities.
- We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.