Senior Data Engineer

This is a Fully Remote Job
About Our Client:
The organization supports federal government agencies in addressing complex challenges through advanced technology solutions. It collaborates on the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program, focusing on scalable, reliable data platforms that enhance operational efficiency across government workgroups.
About the Opportunity:
The SENIOR DATA ENGINEER role is designed to develop and optimize reusable data engineering frameworks that improve the scalability and reliability of the Summit Data Platform. This position is crucial for enhancing data ingestion, transformation, and automation processes, directly impacting the effectiveness and efficiency of data operations within the program.
Responsibilities:
Design and implement reusable data ingestion, transformation, orchestration, and validation frameworks aligned with enterprise architecture.
Lead development of shared pipeline templates, data-quality gates, lineage tracking, and automated deployment or recovery processes.
Optimize cloud data processing performance, cost, partitioning, and reliability.
Provide technical guidance on data integration, semantic modeling, and federated query capabilities.
Integrate automated testing, observability, CI/CD, infrastructure-as-code, and secure access controls into data engineering workflows.
Troubleshoot complex cross-platform issues and coordinate root-cause analysis and remediation.
Maintain design documentation, standards, runbooks, and technical decision records.
Mentor engineers and coordinate with engineering teams to promote adoption of common capabilities.
Requirements:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field with 10+ years of relevant data engineering experience.
Hands-on experience with production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python.
Experience with cloud data platforms (Microsoft Azure, AWS, or Google Cloud) including storage, orchestration, and secure data access.
Proficiency in data modeling, reconciliation, quality testing, and pipeline monitoring.
Ability to document technical designs and collaborate across teams.
Experience designing reusable data engineering frameworks and resolving complex integration and performance issues.
Expertise in automation, testing, CI/CD, and standardized deployment patterns.
Ability to obtain and maintain VA Public Trust suitability determination (Tier 2/Moderate Risk).
Pay Range and Compensation Package:
Pay Range $107,900.00 - $195,050.00
Benefits & Perks:
No benefits explicitly mentioned.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Skills
Python, AWS, Azure, CI/CD, SQL, Automation Testing, Artificial Intelligence

Experience
10+ yrs

Work arrangement
Yes