Software Engineer, Principal

Parsons Corporation

25d

About The Position

At Parsons, we’re building the next generation of secure, mission-critical systems that support national defense, cyber operations, and government modernization efforts. We are looking for a Software Engineer to help design and develop our core data platform and framework, enabling interoperability across high-impact federal systems.

Requirements

Data Processing and Engineering: Proficient in data manipulation and transformation, especially with large datasets. Experience ingesting data from various sources like Excel files, CSVs, databases, system logs, etc. Ability to clean and preprocess data, removing unnecessary data elements. Familiarity with ETL (Extract, Transform, Load) processes.
OpenSearch & Elasticsearch: Experience working with Elasticsearch or OpenSearch for indexing, searching, and querying large datasets. Ability to optimize searches and manage clusters. Knowledge of the Elasticsearch query DSL, indexing strategies, and performance tuning.
Visualization in Kibana: Proficient in creating visualizations and dashboards in Kibana. Understanding of how to use Kibana for data exploration, trend analysis, and reporting.
Visualization Experience: Experience in creating visualizations in a UI Design Framework, like React.js with Material-UI Understanding basic UI/UX principles for a positive user interface experience to convey data in meaningful ways to analysts and decision makers
Programming/Automation: Strong proficiency in programming languages such as Python, Java, or other relevant languages for data processing and UI development. Experience in writing automation scripts for repetitive tasks (e.g., ingesting data, cleaning, etc.).
Experience with Software/Data Science Concepts: Understanding of data structures, algorithms, and common data science techniques. Experience with data science tools like Pandas, NumPy, or similar libraries for data manipulation.
Experience with Cloud/Distributed Systems: Familiarity with cloud platforms (AWS, Azure, etc.) is a plus, especially if the data pipeline is running in the cloud. Understanding distributed systems principles.
Experience with Idea to MVP Generation: Experience in taking ideas and proofs of concepts to a minimal viable product. Experience is developing rapid prototypes to meet critical mission needs.
15+ years of experience working in data engineering or software development with a focus on data processing and user interface development.
An active Top Secret SCI w/Polygraph security clearance is required for this position.

Nice To Haves

Relevant Bachelors degree in science, math, information systems, or engineering can be substituted for up to two [2] years of experience only)
Exposure to Elasticsearch/OpenSearch is a plus, but it’s not a dealbreaker if they have strong data engineering skills in other areas.
Exposure to a UI framework like React.js is a must.
Experience with rapid prototype creation and deployment is a must.
Comfortable working under tight deadlines as necessary.