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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineers - **Company:** ReefPoint Group LLC - **Location:** Annapolis, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Information Systems, Computer Programming, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Systems, Information Lifecycle Management, Python (Programming Language), Machine Learning, Meta-Data Management, Cloud Services, Standard Sql, Software Engineering, Unstructured Data, Enterprise Data Management, Google Cloud, Cloud Platform System, Data Ingestion, Azure Data Factory, Snowflake, Apache Spark, Microsoft Fabric, Information Technology, Apache Kafka, Azure Synapse Analytics, Data Pipelines, Devsecops, Databricks - **Published:** September 29, 2026 - **Apply:** https://www.juju.com/job/16_004fae651 ## About the Role * 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) ## Description 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. ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)