Accidental Death and Dismemberment (AD&D), Analysis Skills, Application Programming Interface (API), Centers for Disease Control and Prevention (CDC), Cloud Computing, Compensation Management, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Formats, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Data Warehousing, Database Architecture, Database Design, Database Extract Transform and Load (ETL), Ecosystems, Employee Assistance Plan, Funding, Government, Healthcare Reimbursement, Hospital, Identify Issues, Information Technology & Information Systems, Information/Data Security (InfoSec), Insurance, Leadership, Metadata, Microsoft Windows Azure, NoSQL, Operational Audit, Operations Processes, Performance Management, Process Development, Process Improvement, Professional Services, Python Programming/Scripting Language, Quality Management, Relational Databases (RDBMS), SQL (Structured Query Language), Scalable System Development, Software Engineering, Workflow Analysis
Overview:
Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for a Senior Data Engineer to join our team supporting the Centers for Disease Control and Prevention. 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.
Our 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.
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
Qualifications:
- 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
- Bachelor’s degree in computer science, Engineering, Information Systems, or a related, quantitative field
Preferred:
- 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
Final salary determination based on skill-set, qualifications, and approved funding.
Many of our jobs come with great benefits – Some offerings are dependent upon the role, work schedule, or location, and may include the following:
Paid Time Off
PTO / Vacation – 5.67 hours accrued per pay period / 136 hours accrued annually
Paid Holidays - 11
California residents receive an additional 24 hours of sick leave a year
Health & Wellness
Medical
Dental
Vision
Prescription
Employee Assistance Program
Short- & Long-Term Disability
Life and AD&D Insurance
Spending Account
Flexible Spending Account
Health Savings Account
Health Reimbursement Account
Dependent Care Spending Account
Commuter Benefits
Retirement
401k / 401a
Voluntary Benefits
Hospital Indemnity
Critical Illness
Accident Insurance
Pet Insurance
Legal Insurance
ID Theft Protection
Teleworking Permitted?:
false
Estimated Salary/Wage:
USD $115,000.00/Yr. Up to USD $125,000.00/Yr.