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

ReefPoint Group; Tysons (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

ReefPoint Group is seeking Data Engineers and Senior Data Engineers to join our growing Data & AI practice, supporting federal client portfolios. We value curiosity, collaboration, integrity, and innovation as we tackle complex data challenges and modernize enterprise systems.

Successful candidates will design, build, and maintain modern data solutions using cloud platforms and enterprise data technologies, enabling analytics and AI capabilities across diverse federal programs.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field.
• 3+ years of professional experience in data engineering, software engineering, data integration, or related roles.
• Experience developing and maintaining data pipelines, ETL/ELT processes, or data ingestion frameworks.
• Experience with one or more cloud platforms (Azure, AWS, or Google Cloud).
• 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.

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 CI/CD activities.
• Stay current on emerging cloud technologies, data engineering practices, and industry trends.

Skills

Data engineering

Cloud data platforms

Analytical thinking

Communication skills

Stakeholder collaboration

Problem solving

Education

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field

Tools

Python

SQL

Spark

Scala

Azure Data Factory

Apache Kafka

APIs and data integration services

Job description

Description

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 (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.

At RPG, we value curiosity, collaboration, integrity, and innovation. Our teams work alongside clients to deliver practical solutions that make a measurable impact while fostering a culture of continuous learning and professional growth.

Position Overview

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.

We're looking for engineers who enjoy solving complex data challenges, building scalable cloud solutions, and enabling advanced analytics and AI capabilities. This is an opportunity to work with modern data platforms, collaborate with multidisciplinary teams, and help organizations unlock the full value of their data.

Successful candidates will have experience designing, building, and maintaining modern data solutions using cloud platforms and enterprise data technologies. Experience with platforms such as Palantir Foundry, Databricks, Microsoft Fabric, Snowflake, Azure, AWS, or similar technologies is highly desirable.

What You'll Do

• 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
• Azure Synapse Analytics

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.

If you're passionate about solving complex problems, building modern data solutions, and making a lasting impact, we'd love to hear from you.