> Markdown version of [/jobs/ext/3888227-senior-software-developer](https://www.wearedevelopers.com/jobs/ext/3888227-senior-software-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Developer - **Company:** Parsons Corporation - **Location:** United States - **Experience:** Expert - **Salary:** $125,100.0 - $225,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, C++ (Programming Language), Cloud Computing, Information Systems, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mining, Data Security, DevOps, Graph Database, Python (Programming Language), PostgreSQL, Machine Learning, Meta-Data Management, MongoDB, MySQL, Neo4j, Operational Databases, Scrum Methodology, Cloud Services, Tensorflow, Search Technologies, Software Engineering, Software Systems, SQL Databases, Systems Integration, Pytorch, Large Language Models, Apache Spark, Indexer, Containerization, Data Lakes, Kubernetes, Information Technology, Data Pipelines, Docker - **Published:** October 23, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9260825/senior-software-developer ## About the Role * 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) ## 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