Data Engineer / Senior Data Engineer (Cloud & Modern Data Platforms)

About the role

ReefPoint Group (RPG) is a mission-driven consulting firm dedicated to improving outcomes for Veterans, service members, and federal agencies through data, technology, and strategic consulting. We partner with our clients to solve complex operational challenges, modernize enterprise systems, and transform data into actionable insights that drive mission success.

ReefPoint Group is seeking Data Engineers and Senior Data Engineers to join our growing Data & AI practice. This posting is part of our Data Engineering Talent Community, supporting multiple current and upcoming opportunities across our federal client portfolio.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration solutions.
• Build and optimize cloud-based data platforms that support analytics, reporting, and operational decision-making.
• Integrate, transform, and operationalize structured and unstructured data from multiple enterprise sources.
• Develop ETL/ELT processes and automated data ingestion workflows.
• Support data modeling, data mapping, and enterprise data integration initiatives.
• Improve data quality, reliability, governance, and accessibility across enterprise environments.
• Collaborate with architects, analysts, product teams, and client stakeholders to understand business and mission requirements.
• Enable advanced analytics, artificial intelligence, and machine learning capabilities through modern data engineering practices.
• Participate in solution design, technical troubleshooting, and continuous platform improvement.
• Develop automated monitoring, validation, and quality control processes for enterprise data solutions.
• Contribute to engineering best practices, code reviews, and continuous integration/continuous deployment (CI/CD) activities.
• Stay current on emerging cloud technologies, data engineering practices, and industry trends.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field
• Minimum of 3 years of professional experience in data engineering, software engineering, data integration, or related technical roles.
• Experience developing and maintaining data pipelines, ETL/ELT processes, or data ingestion frameworks.
• Experience working with one or more cloud platforms (Azure, AWS, or Google Cloud) or modern data platforms.
• Strong understanding of data integration, data lifecycle management, and enterprise data architecture principles.
• Experience collaborating with technical and non-technical stakeholders in fast-paced, client-focused environments.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with one or more of the following technologies or disciplines is highly desired:
  • Modern Data Platforms: Palantir Foundry, Databricks, Microsoft Fabric, Snowflake
  • Cloud Technologies: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)
  • Programming & Data Engineering: Python, SQL, Spark, Scala, Azure Data Factory, Apache Kafka, APIs and data integration services
  • Modern Delivery Practices: Agile development, DevSecOps, CI/CD pipelines, Infrastructure as Code
• Additional Experience: AI/ML data pipelines and model support, Data governance and metadata management, Data modeling or enterprise architecture, Federal consulting experience, Experience supporting VA, DoD, DHA, CMS, HHS, or other federal agencies
• Active Public Trust or Security Clearance (or ability to obtain one)

Why Join ReefPoint Group

At ReefPoint Group, you'll have the opportunity to work on meaningful projects that support critical federal missions while collaborating with talented consultants, engineers, and data professionals. We invest in our people, encourage innovation, and provide opportunities to grow your technical expertise across cloud technologies, artificial intelligence, data engineering, and enterprise modernization.