Senior Data Engineer

BDR Solutions LLC

. Design, develop, and maintain enterprise-scale data architectures and data pipelines supporting mission-critical systems.

Posted 9/18/2026full-timeQuantico • Virginia • United StatesSenior💰 $160,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise-scale data architectures and pipelines, with a strong focus on data governance, security, and compliance in regulated environments. Proficient in cloud-based solutions and advanced programming, ensuring high performance and reliability in data management.

Highest-signal resume keywords

Data Architecture DesignETL/ELT ProcessesCloud-Based Solutions (AWS, Azure, GCP)Data Governance and Quality ManagementActive TS/SCI Clearance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQL DatabasesNoSQL DatabasesData Warehousing SolutionsHadoopSparkKafkaPythonJavaScalaData Security Controls

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

ETL/ELT ToolsCI/CD PipelinesContainerization TechnologiesOrchestration Technologies

Certifications & Qualifications

AWS Certified Data EngineerAzure Data Engineer AssociateCDMPSecurity+CISSP

Industry Keywords

DoD Cybersecurity RequirementsData GovernanceMaster Data ManagementData Lifecycle ManagementIntelligence Community

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityETLGoogle Cloud PlatformHadoopJavaKafkaNoSQLPythonScalaSparkSQLTypeScript

About the role

Key responsibilities & impact

Design, develop, and maintain enterprise-scale data architectures and data pipelines supporting mission-critical systems.
Develop and implement ETL/ELT processes for structured and unstructured data sources.
Design and optimize data models, databases, and data workflows for performance, scalability, reliability, and security.
Develop software prototypes and proof-of-concept solutions for evolving customer requirements.
Perform code reviews and ensure adherence to engineering standards, security requirements, and industry best practices.
Collaborate with system architects, software developers, data scientists, analysts, and government stakeholders to integrate data solutions into enterprise applications.
Design and implement solutions using SQL and NoSQL database technologies.
Support large-scale data processing frameworks including Hadoop, Spark, and Kafka.
Develop and maintain cloud-based data architectures within AWS, Azure, or Google Cloud environments.
Implement data security controls including encryption, data masking, access controls, auditing, and monitoring.
Ensure compliance with DoD cybersecurity requirements, security policies, and governance standards.
Establish and maintain data quality management processes and controls.
Support data governance and master data management initiatives.
Develop automation solutions to improve data integration, monitoring, and operational efficiency.
Participate in DevSecOps initiatives and CI/CD pipeline development.
Utilize containerization and orchestration technologies for scalable deployments.
Identify technical risks and recommend mitigation strategies.
Provide technical leadership and mentorship to junior engineers and team members.
Present technical solutions and recommendations to government stakeholders and program leadership.
Support a mission-critical Department of Defense customer in secure environments.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, or a related technical field.
8-10 years of Data Engineering experience supporting DoD, Intelligence Community, or Federal Government programs.
Experience designing, developing, and maintaining enterprise-scale data architectures and data pipelines.
Strong experience with SQL databases, NoSQL databases, data warehousing solutions, and ETL/ELT tools and frameworks.
Experience with Hadoop, Spark, Kafka, or similar distributed data processing platforms.
Experience designing and supporting cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Advanced programming experience in Python, Java, or Scala.
Experience implementing secure data management solutions in regulated environments.
Strong knowledge of Data Governance, Data Quality Management, Master Data Management (MDM), and Data Lifecycle Management.
Experience implementing cybersecurity controls for data protection.
Ability to translate complex business and technical requirements into scalable engineering solutions.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent verbal and written communication skills.
Active TS/SCI clearance with a current CI Polygraph required at the time of hire.
U.S. Citizenship required.
Must meet eligibility requirements for access to classified information and be able to obtain a government-granted security clearance.
Preferred: experience supporting classified DoD or Intelligence Community programs; secure cloud environments; DoD data standards and enterprise data strategies; AI/ML data environments; Data Lake and Data Lakehouse architectures; Infrastructure as Code tools; certifications such as AWS Certified Data Engineer, Azure Data Engineer Associate, CDMP, Security+, or CISSP.