Data Engineer (7 years)

Remote Full-time
Job Title: Data Engineer

Job Category: IT

Location: Remote with occasional onsite work within the DMV area

Security Clearance: Active Secret Clearance

SHR is a premier technology integrator solving our nation’s most complex modernization and readiness challenges across the defense, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and AI. With an intimate understanding of our customers’ challenges and deep expertise in existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions.

The Data Scientist will have hands-on experience with large-scale data ecosystems, particularly leveraging tools like Apache Spark and Databricks for distributed processing and analytics.

Solid understanding of data transformation workflows, with practical experience designing and executing ETL (Extract, Transform, Load) pipelines. Familiarity with modern cloud infrastructures such as AWS, Microsoft Azure, or MilCloud 2.0, including deploying and managing data-centric applications in secure environments. Experience implementing DoD STIG compliance, including automating security configurations and ensuring systems align with federal cybersecurity standards.

Competency in a variety of programming languages, demonstrating flexibility and adaptability across different development tasks and platforms. Proven ability to build and maintain data pipelines that support cross-domain operations, including workflows that span unclassified and classified network environments.

Job Responsibilities:
• Design and implement solutions for integrating structured, unstructured, and semi-structured data sources into mission-driven systems that support analytics workflows and continuous delivery pipelines.
• Manage the end-to-end operational lifecycle of data movement processes, ensuring infrastructure security, application integrity, and system reliability through proactive monitoring and diagnostics.
• Develop and maintain automated processes for system configuration and data workflow orchestration, utilizing the latest ETL tools and data engineering technologies.
• Operate with a high degree of autonomy, identifying opportunities for infrastructure enhancement, cost optimization, and operational automation to improve overall system performance.
• Utilize advanced knowledge of data engineering tools and practices, including database management, data modeling, and cloud-native architectures, to build and maintain scalable cloud environments via programmatic interfaces and vendor-specific platforms.
• Collaborate with cross-functional teams to explore technical challenges, experiment with emerging technologies, and deliver robust solutions that support mission innovation and enhance system capabilities.
• Write clean, scalable, and optimized code to support data pipelines and automation, contributing to system efficiency and maintainability.

Education:
• Bachelor’s degree preferred

Experience:
• Must have 7 years of experience

Why Join Us:

At SHR, you will join a team that fosters growth, supports innovation, and encourages continuous learning. You will have the opportunity to impact significant government initiatives and contribute to national security and public welfare. We offer competitive compensation, comprehensive benefits, and a flexible work environment. Join us and make a difference!

At SHR, we foster an environment that promotes growth, innovation, and continuous learning. As a valued member of our team, you will:
• Contribute to impactful government initiatives that enhance national security and public welfare.
• Work in a collaborative, flexible, and forward-thinking work environment.
• Receive competitive compensation, comprehensive benefits, and career development opportunities.

Join us and make a difference!

Apply Now

Apply Now

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