Lead Data Engineer

Leidos; Massachusetts; Remote; USD 85,000 - 154,000; Full time

Job summary

An established industry player is seeking a Lead Data Engineer to support critical national security missions. In this role, you'll leverage your expertise in data engineering to develop and optimize data pipelines, ensuring that mission-critical data is actionable and secure. You'll work with advanced technologies and methodologies, including agile and DevSecOps, to manage enterprise data effectively. This is an exciting opportunity to contribute to national security efforts while working in a dynamic and supportive environment. If you're passionate about data and ready for your next challenge, this position is perfect for you.

Qualifications

• 6+ years of experience in enterprise data and information management.
• Hands-on experience with big data processing frameworks.

Responsibilities

• Develop and optimize data pipelines for mission needs.
• Conduct security assessments and ensure compliance.

Skills

Data Engineering

Agile Methodologies

DevSecOps

Risk Management Framework (RMF)

Big Data Processing

Data Governance

Security Assessments

Education

Bachelor’s degree in Computer Science

Equivalent technical field

Tools

Apache Spark

Docker

Kubernetes

Google Cloud

AWS

Job description

Description

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

If this sounds like the kind of environment where you can thrive, keep reading!

The National Security Sector technology-enabled services and mission software capabilities for defense and intel customers in the areas of cyber, logistics, security operations, and decision analytics.

Your greatest work is ahead!

The National Security Sector at Leidos currently has an opening for a Lead Data Engineer supporting the SABRE program at Hanscom AFB, MA. This position is on a future contract pending award announcement.

Data drives decision-making, and at Leidos, we need top talent to ensure SABRE's data infrastructure is mission-ready. As the Lead Data Engineer, you'll develop pipelines, structure datasets, and optimize data strategies to support real-time USAF mission operations. Turn raw data into actionable intelligence that supports national security.

Are you ready for your next career challenge? Join a team committed to a Mission!

Responsibilities Include:

• Apply agile and DevSecOps methodologies to Enterprise Data Management for both batch and streaming services
• Conduct Risk Management Framework (RMF) security assessments related to Enterprise Data Management, ensuring compliance and security best practices
• Support Enterprise Information Management services, including metadata management, data tagging, and data cataloging
• Design, implement, and optimize data pipeline services tailored to mission needs and objectives
• Develop and maintain security information infrastructure, platforms, and software to support secure and efficient data management
• Collaborate with engineering and cybersecurity teams to ensure data integrity, availability, and confidentiality
• Utilize automation and modern data engineering tools to streamline data ingestion, transformation, and storage
• Ensure adherence to DoD data security standards and best practices in handling mission-critical data

Clearance Required:

• Active DoD Secret

Required Experience, Skills, and Education:

• Bachelor’s degree in Computer Science, Mathematics, or equivalent technical field, with a focus on security or equivalent experience, and a minimum of 6 years of enterprise data and information management experience. Additional years of experience may be considered in lieu of degree.
• 4+ years of experience working with real-time and batched scalable enterprise data architecture processes and Enterprise Information Management technologies
• 2+ years of experience with container technologies such as Docker or Kubernetes (desired)
• Hands-on data engineering experience with big data processing frameworks such as Apache Spark
• Experience integrating enterprise data solutions with access control services for secure data governance
• Strong knowledge of agile and DevSecOps methodologies as they apply to Enterprise Data Management
• Experience conducting Risk Management Framework (RMF) security assessments for data management environments
• Ability to design, implement, and optimize data pipelines to support both batch and streaming data services
• Proficiency in metadata management, data tagging, data cataloging, and data governance frameworks
• Strong understanding of security info infrastructure, platforms, and software to ensure secure and efficient data operations

Preferred Experience, Skills, and Education:

• Google Cloud Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• Apache Spark or Hadoop Big Data Certifications
• Experience implementing enterprise data lakes for DoD/USAF environments
• Knowledge of ICAM (Identity, Credential, and Access Management) integration

Original Posting:

April 2, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $85,150.00 - $153,925.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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