Senior Software Developer

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.

• 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

• 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

• 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)

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Originally posted on Himalayas