Senior Data Engineer
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Senior Data Engineer
Location
Atlanta, GA, USA, 30033
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeHybrid
Job Description
**About Us:**
**Metas Solutions** excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See [**www.metassolutions.com**](http://www.metassolutions.com/) for further details about us and careers with Metas.
**Job Description:**
**Metas Solutions** has an **"*opening"*** for **(2)** talented **Senior Data Engineers** ***located in the Atlanta, GA****to* *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.
**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
**Additional Qualifications:**
- 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
**Security Requirements:**
- Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
- Market competitive salary, commensurate with experience and education
- Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities
***We are an Equal Opportunity Employer/Veterans/Disabled***
### Benefits
Medical, Dental, Vision and Life Insurance, Long and Short-Term Disability Insurance, Paid Time Off (PTO), 401K, and Matching, Holidays, etc.
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 such as Databricks
- Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs and relational sources
- Implement data quality, metadata management, and governance controls
- 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
Requirements
- Bachelor's degree in computer science
- Engineering
- Information Systems
- or a related quantitative field
Skills Required
PythonSQLETL/ELTAzure Data FactoryDatabricksAzureRelational databasesNoSQL databasesData modelingSchema designAPIsFlat filesCI/CDCollaborationProblem solvingDocumentationCDC ExperienceGovernment environment experienceCollaboration with data scientists and analysts
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Long-Term Disability Insurance
- Short-Term Disability Insurance
- Paid Time Off (PTO)
- 401K with company match
- Holidays
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