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Senior Data Engineer

Metas Solutions
Atlanta, GA

Quick Apply

Job Details

Full-time
11 days ago

Benefits

Disability insurance
Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching
Life insurance

Qualifications

Data model design
Cloud analytics services
Databricks
Data Integration (Data management)
Data modeling projects
NoSQL
Scalable systems
Schema design
Information security
SQL
Information security compliance
Data Architecture Design (Architecture design skills)
ETL process automation
Azure Data Factory
Data Security (Data management)
APIs
Scalability
Cloud solution engineering
Python

Full 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 (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 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:

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

Quick Apply

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Water Program Manager, Data Center Development

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Product Designer

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