Senior Data Engineer – DoD Cloud & Data Pipelines

Socket.dev; Washington (District of Columbia); On-site; USD 160,000 - 190,000; Full time

Job summary

BDR Solutions, LLC is seeking a Senior Data Engineer to design, develop, and maintain enterprise-scale data architectures and pipelines for a DoD customer. You will lead data initiatives, implement ETL/ELT processes, and ensure security and governance across AWS/Azure/GCP environments.

The role requires TS/SCI clearance with CI Poly, and hands-on experience with Hadoop, Spark, Kafka, and modern data tooling.

Qualifications

• 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, ETL/ELT tools and frameworks.
• Experience with big data technologies such as: Hadoop, Spark, Kafka
• Similar distributed data processing platforms
• Experience designing and supporting cloud-based data solutions using: AWS, Microsoft Azure, Google Cloud Platform (GCP)
• Advanced programming experience in one or more of the following: Python, Java, Scala
• Experience implementing secure data management solutions in regulated environments.
• Strong knowledge of: Data Governance, Data Quality Management, Master Data Management (MDM), 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.

Responsibilities

• 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 to support 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 solutions using SQL and NoSQL database technologies.
• Support large-scale data processing frameworks such as Hadoop, Spark, Kafka, or similar technologies.
• Develop and maintain cloud-based data architectures within AWS, Azure, or Google Cloud environments.
• Implement data security controls, including Encryption, Data masking, Access controls and 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 that improve data integration, monitoring, and operational efficiency.
• Participate in DevSecOps initiatives and CI/CD pipeline development.
• Utilize containerization and orchestration technologies to support 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.

Skills

ETL/ELT

SQL

NoSQL

Data Warehousing

Big Data

Python

Java/Scala

Cloud Platforms

Data Governance

Security Controls

Education

Bachelor's degree in CS/IS

Tools

Hadoop

Spark

Kafka

AWS

Azure

GCP

Job description

BDR Solutions, LLC is seeking a Senior Data Engineer to design, develop, and maintain enterprise-scale data architectures and pipelines for a DoD customer. You will lead data initiatives, implement ETL/ELT processes, and ensure security and governance across AWS/Azure/GCP environments.

The role requires TS/SCI clearance with CI Poly, and hands-on experience with Hadoop, Spark, Kafka, and modern data tooling.