Description

: Parsons is seeking a highly skilled Software Engineer to join our Government Contracting Division, supporting mission-critical programs that deliver advanced data solutions for defense, intelligence, and federal clients. This role focuses on data engineering, search technologies, and front-end visualization , with a strong emphasis on transforming data into actionable insights through scalable pipelines and user-friendly interfaces. Key Responsibilities: Develop and maintain scalable data processing pipelines to ingest, transform, and manage large datasets from a variety of structured and unstructured sources (e.g., Excel, CSV, system logs). Design and implement ETL workflows to support data normalization, cleaning, and transformation. Leverage OpenSearch/Elasticsearch to index and query large-scale data, optimize performance, and manage cluster configurations. Create interactive dashboards and visualizations using Kibana and React.js to support operational insight and decision-making. Implement automation scripts for routine data engineering tasks using Python , Java , or similar languages. Collaborate across multi-disciplinary teams to transform proof-of-concept ideas into minimum viable products (MVPs). Support deployment of solutions in cloud environments (AWS, Azure) while applying distributed systems principles. Apply knowledge of data structures, algorithms, and data science tools (e.g., Pandas, NumPy) to improve data accessibility and usability. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred). 15+ years of experience in data engineering or software development, with demonstrated focus on data-intensive applications. Hands-on experience with Elasticsearch/OpenSearch , including performance tuning, query DSL, and indexing strategies. Proficiency in Python , Java , or Go , and familiarity with modern data tools like Kafka, Airflow, or Spark. Proven expertise in React.js and Material-UI for building user-centric data interfaces. Experience in building rapid prototypes and transitioning them into production-ready systems. Ability to work in high-pressure environments and meet mission-critical deadlines. Preferred Qualifications: Experience deploying solutions in AWS or Azure , particularly using ElasticSearch services. Familiarity with advanced visualization tools like Grafana . Exposure to government, DoD, or intelligence community contracts. Security Clearance Requirement: An active Top Secret SCI w/Polygraph 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: $155,600.00 - $280,100.00We 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, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!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.