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-timeReston • Virginia • 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 utilizing cloud platforms and big data technologies to deliver scalable and efficient data solutions.

Highest-signal resume keywords

Data Architecture DesignETL/ELT Process DevelopmentCloud-Based Data SolutionsBig Data TechnologiesData Governance and Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL DatabasesNoSQL DatabasesPython ProgrammingJava ProgrammingScala ProgrammingHadoopSparkKafkaData WarehousingData Security Management

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsMentorshipCollaboration

Tools & Technologies

AWSMicrosoft AzureGoogle Cloud PlatformCI/CD PipelinesContainerization Technologies

Certifications & Qualifications

Active TS/SCI ClearanceEligibility for Government Security Clearance

Industry Keywords

DoD Cybersecurity RequirementsData Quality ManagementMaster Data ManagementData Lifecycle ManagementRegulated 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 to improve 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, and analysts to integrate data solutions into enterprise applications
Design and implement SQL and NoSQL database solutions
Support large-scale data processing frameworks such as Hadoop, Spark, and Kafka
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 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

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 big data technologies such as 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 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
Subject to government security investigation and background investigation, including criminal history, employment and education verification, drug testing, and creditworthiness