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

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. The company is seeking Data Engineers and Senior Data Engineers to join their growing Data & AI practice, focusing on solving complex data challenges and building scalable cloud solutions.

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

Preferred

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)

Amazon Web Services

Google Cloud Platform

APIs

data integration

AI/ML data pipelines

Data governance

Data modeling

Security Clearance

Company

Federal IT, cloud, cybersecurity, and managed services

Vienna, Virginia, USA

https://reefpointgroup.com/

Founded in 2008

51-200 employees

Qualifications

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

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)

Minimum of 3 years of professional experience in data engineering, software engineering, data integration, or related technical roles.

Required skills

Data Engineering, ETL/ELT Processes, Data Pipelines, Cloud Platforms, Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), Palantir Foundry, Databricks, Microsoft Fabric, Snowflake, Azure Synapse Analytics, Python, SQL, Spark, Scala, Azure Data Factory, Apache Kafka, APIs, Data Integration Services, Agile Development, DevSecOps, CI/CD Pipelines, Infrastructure as Code, AI/ML Data Pipelines, Data Governance, Metadata Management, Data Modeling, Enterprise Architecture, Public Trust Clearance

Preferred skills

Modern Data Platforms, Databricks, Snowflake, Azure Synapse Analytics, Cloud Technologies, Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), Programming & Data Engineering, Python, SQL, Spark, Azure Data Factory, Apache Kafka, APIs and data integration services, Modern Delivery Practices, Agile development, CI/CD pipelines, Additional Experience, AI/ML data pipelines and model support, Data governance and metadata management, Data modeling or enterprise architecture, Federal consulting experience, Vienna, Virginia, USA, https://reefpointgroup.com/, Growth Stage, Company data provided by, AI Tools, Customize Your Resume, Maximize your interview chances

Experience

3+ years