Senior Data Engineer

Metas Solutions; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Metas Solutions in the DC metro area is seeking a Senior Data Engineer to design, build, and maintain enterprise-grade data pipelines and data platforms that inform executive decision-making. You will work with data scientists, engineers, and governance teams to ensure scalable, secure analytics across APIs, databases, and lakehouse environments such as Databricks and Azure Data Factory.

Candidates should have 8+ years in data or software engineering, strong Python/SQL skills, and experience

Qualifications

• 8+ years of experience in data engineering, software engineering, or database architecture.
• 6+ years of 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.

Responsibilities

• Design, implement, and maintain enterprisegrade 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 largescale 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

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

Data governance

Security/compliance

Education

Bachelor's degree in CS/Engineering/IS or related field

Tools

Databricks

Azure Data Factory

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 for further details about us and careers with Metas.

Job Description

Metas Solutions has an *opening* for talented Senior Data Engineers located in the DC Metro area 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 enterprisegrade 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 largescale 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