Data Engineer

Parsons Corporation
Centreville, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 155K

Job location

Centreville, United States of America

Tech stack

Kubernetes Security
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Computer Security
Information Systems
Databases
Data Architecture
Data Validation
Data Discovery
Information Engineering
Data Governance
Data Integration
ETL
Data Security
Graph Database
Python
PostgreSQL
Meta-Data Management
MongoDB
MySQL
Neo4j
Scrum
Software Tools
Cloud Services
Search Technologies
SQL Databases
Large Language Models
Spark
Indexer
Containerization
Data Lake
Kubernetes
Information Technology
Data Lineage
Data Management
Data Pipelines
Docker

Job description

  • Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and enrich large volumes of chemical and biological threat data from diverse sources.
  • Implement and optimize data architecture to support data quality, validation, and enrichment workflows.
  • Integrate data from existing data lakes and external systems via APIs, ensuring interoperability and data consistency across the enterprise.
  • Develop and maintain robust metadata management and data catalog systems to facilitate data discovery, lineage tracking, and governance.
  • Collaborate with software developers, AI/ML engineers, and stakeholders to support advanced analytics, predictive modeling, and knowledge graph construction.
  • Implement data partitioning, classification, and access control strategies to comply with NIST SP 800-171 and DoD security requirements.
  • Automate data quality assessments, error detection, and remediation processes; generate data quality reports and support continuous improvement.
  • Support the integration of legacy data, resolving inconsistencies and standardizing formats to align with current data standards and ontologies.
  • Participate in Agile sprints, backlog refinement, and sprint reviews; contribute to technical documentation and data management plans.
  • Assist in knowledge transfer and training activities, including the development of user guides and best practices for data management.

Requirements

  • Active Secret or higher security clearance.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 3-8 years of experience in data engineering, data integration, or ETL development in cloud or enterprise environments.
  • Proficiency with data engineering tools and languages (e.g., SQL, Python, Spark, or similar).
  • Experience building and managing scalable data pipelines and ETL workflows.
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, or similar) and cloud-native data services.
  • Strong understanding of data modeling, data partitioning, and data architecture best practices.
  • Experience with metadata management, data cataloging, and data governance frameworks.
  • Familiarity with data security, encryption, and access control mechanisms.
  • Experience working in Agile development environments and collaborating with cross-functional teams.
  • Strong analytical, problem-solving, and communication skills.

What Desired Skills You'll Bring:

  • Master's degree in Data Engineering, Computer Science, or a related field.
  • Experience implementing data architectures and federated data access models.
  • Familiarity with DoD cybersecurity and data governance standards (e.g., NIST SP 800-171, STIG, RMF).
  • Experience with data quality assessment tools and automated data validation frameworks.
  • Experience integrating data from classified environments (e.g., SIPR, JWICS).
  • Knowledge of advanced search and indexing technologies (e.g., vector/semantic search, LLMs).
  • Knowledge of modern database platforms (e.g. Postgres (preferred), MongoDb, MySQL, Neo4j)
  • Experience with containerization (Docker, Kubernetes) and container security best practices.
  • Experience developing and maintaining knowledge graphs and ontologies.
  • Prior experience supporting government or defense-related data projects.

Benefits & conditions

An active Secret security clearance is required for this position.

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.

Salary Range: $88,400.00 - $154,700.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.

About the company

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ ., Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.

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