Data Engineer - Mid and Senior Secret Clearance

About the role

Data into Secure, Scalable Solutions! Location: Candidate must be within 50 miles of Washington, DC Requirements: Active Secret security clearance required Hiring for both Mid and Senior Positions!

Responsibilities

• Design, develop, and maintain batch and streaming data pipelines using frameworks such as Apache Spark, Kafka, or equivalent cloud-native services to support high-volume ingestion and processing for mission-critical workloads.
• Build and optimize data models and schemas (including star, snowflake, and normalized designs) that support analytical, reporting, and operational use cases across the enterprise.
• Implement data validation, profiling, and monitoring capabilities to ensure high data quality, integrity, and reliability across all stages of the data pipeline lifecycle.
• Design, deploy, and tune scalable storage platforms such as data lakes and data warehouses, employing partitioning, indexing, and compression strategies to improve performance and cost efficiency.
• Establish and maintain metadata management and data lineage tracking using catalog and governance tools to provide transparency, auditability, and regulatory compliance for data assets.
• Apply secure data engineering practices, including encryption, role-based access controls, and adherence to government data standards and policies in a highly regulated environment.
• Automate CI/CD workflows for data pipelines and related infrastructure using tools such as Git, Terraform, and containerization technologies to enable repeatable, reliable deployments.
• Troubleshoot and resolve pipeline failures, latency issues, and performance bottlenecks in distributed computing environments, driving root cause analysis and long-term remediation.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements, refine transformation logic, and ensure that data products meet analytical and operational needs.
• Document data architectures, pipeline designs, and operational procedures, and contribute to data governance activities and continuous improvement of data engineering standards and practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a closely related field, or equivalent relevant experience.
• Typically 2-8 years of professional experience in data engineering or a closely related field, including hands-on work with data pipelines, data models, and distributed data processing.
• Demonstrated experience building and operating batch and/or streaming data pipelines using modern frameworks (e.g., Apache Spark, Kafka) or cloud-native equivalents.
• Experience designing and implementing relational and analytical data models, including star, snowflake, and normalized schemas, in support of reporting and analytics.
• Practical experience implementing data quality controls, validation, and monitoring, as well as using metadata and catalog tools to manage data assets and lineage.
• Demonstrated ability to apply secure data engineering practices, including encryption, access control, and compliance with government or enterprise security standards.
• Active Secret Security Clearance Required U.S. citizenship required. Willingness and ability to work effectively in a remote, distributed team environment supporting federal or enterprise IT operations.
• Candidate must be within 50 miles of Washington, DC.

Preferred Qualifications

• Experience with one or more major cloud platforms (AWS, Azure, or Google Cloud) and their native data engineering services (e.g., AWS Glue, Azure Data Factory, BigQuery, or similar).
• Familiarity with data governance frameworks and regulatory compliance requirements applicable to federal or highly regulated environments.
• Relevant data engineering or cloud certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent).
• Experience automating CI/CD for data pipelines and infrastructure using Terraform, Git-based workflows, and containerization/orchestration technologies.

Pay

Compensation Range: $101,000 - $130,000 (Salary dependent on experience & location)