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-timeWashington, D.C. • District of Columbia • United StatesSenior💰 $160,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 ManagementCybersecurity Controls Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL DatabasesNoSQL DatabasesData Warehousing SolutionsHadoopSparkKafkaPythonJavaScalaData Lifecycle Management

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

ETL ToolsCI/CD PipelinesContainerization TechnologiesOrchestration Technologies

Certifications & Qualifications

Active TS/SCI ClearanceCI Polygraph

Industry Keywords

Department of DefenseIntelligence CommunityFederal GovernmentData SecurityRegulated Environments

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
Design and implement SQL and NoSQL database solutions
Support Hadoop, Spark, Kafka, and similar large-scale data processing frameworks
Develop and maintain cloud-based data architectures in 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 for 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 through secure, scalable, and resilient data solutions

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 government security clearance
Subject to government security, background, drug, and creditworthiness investigations

Benefits

Comp & perks

Military Veterans are highly encouraged to apply
Reasonable accommodation for individuals with disabilities
Potential eligibility for government-granted security clearance access to classified information