Senior Software Developer
Parsons Global Services US - Remote (Any Location), United States of America
Pay not stated
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About the role
In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.
Job Description:
Parsons is looking for an amazingly talented Senior Software Developer to join our team!
In this role you will get to support DTRA's Data Lake (AIDA-TAC) or other AI/ML and data engineering initiatives.
What You'll Be Doing:
Design, develop, and maintain scalable data pipelines and ETL processes for ingesting and transforming large volumes of chemical and biological threat data
Build and optimize cloud-based data architectures, integrating with data lakes and external systems via APIs
Develop, deploy, and support AI/ML-enabled tools for data mining, predictive modeling, and knowledge discovery
Implement and automate data quality, validation, and enrichment workflows, including generation of data quality reports
Collaborate with cross-functional teams to support analytics, machine learning, and knowledge graph construction
Apply data security, encryption, and access control strategies in compliance with DoD and NIST standards
Participate in Agile sprints and contribute to technical documentation and continuous improvement of data and software solutions
What Required Skills You'll Bring:
Bachelor’s degree or higher in Computer Science, Data Engineering, Data Science, Software Engineering, Information Systems, or a related technical field
8+ years of experience in data engineering, software development, or ETL development in cloud or enterprise environments
Proficiency in programming languages and tools such as Python, Java, C++, SQL, and Spark, with hands-on experience in AI/ML frameworks (e.g., PyTorch, TensorFlow)
Hands-on experience with cloud platforms (AWS, Azure) and cloud-native data services
Experience with containerization (Docker, Kubernetes) and DevOps practices (CI/CD, automated testing)
Strong understanding of data modeling, data partitioning, and data architecture best practices
Familiarity with data security, encryption, and access control mechanisms
Active Secret or higher security clearance
What Desired Skills You'll Bring:
Proficiency with OCR and document text-extraction technologies.
Experience with document layout analysis, including detection of paragraphs, tables, figures, captions, headers, footers, and annotations.
Familiarity with chart understanding and plot digitization, including extraction of axes, labels, legends, data points, trends, units, and error bars.
Familiarity with Optical Chemical Structure Recognition (OCSR) for converting molecular depictions into machine-readable formats such as SMILES, InChI, or molecular graphs.
Ability to associate extracted data with its source document, page, figure, table, caption, and bounding box.
Familiarity with confidence scoring, validation, error correction, and human-in-the-loop review workflows.
Experience designing normalized schemas or knowledge graphs for scientific and chemical data.
Experience developing and deploying AI/ML models and integrating them into production data pipelines
Experience with DoD cybersecurity and data governance standards (e.g., NIST SP 800-171, STIG, RMF)
Experience with metadata management, data cataloging, and data quality assessment tools
Familiarity with advanced search and indexing technologies (e.g., vector/semantic search, LLMs)
Experience with modern database platforms (e.g., Postgres, MongoDB, MySQL, Neo4j)
Security Clearance Requirement:
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: $125,100.00 - $225,200.00
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.
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!
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/ .
Posting text as published by Parsons Global Services.
The evidence behind this listing
- Workplace
- Remote Employer field
- Seniority
- senior From the job title
- Employment type
- Not established
- Location as listed
- US - Remote (Any Location), United States of America
Pay and work authorization
- Stated pay
- Not stated
- Visa sponsorship
- Not stated
- Security clearance
- Not established
- Citizenship
- Not established