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Lead Data Engineer
| Company | Leidos |
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| Location | Bedford, MA, USA |
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| Salary | $85150 – $153925 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- 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
