Mid-Level Software Engineer

Identifying ways to create consistent and repeatable capabilities including transforming raw, complex, and often unstructured data into clean, reliable, and high-quality analysis-ready datasets that support advanced analytics, predictive modeling, and data-driven decision-making across the organization

• Master’s degree in computer science or related discipline from an accredited college or university, plus three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
• Bachelor’s degree in computer science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
• Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
• Experience using the Linux CLI and Linux tools
• Experience developing Bash scripts to automate manual processes
• Recent software development experience using Python
• Familiar with Distributed Big Data processing engines including Apache Spark
• Experience using Jupyter Notebook
• Experience with data wrangling and preprocessing tools such as pandas and NumPy
• Experience working with structured, semi-structured, and unstructured data
• Familiarity with data quality concepts, data validation, and anomaly detection
• Experience with Git Source Control System
• TS/SCI/Full Scope Polygraph Clearance

• Familiar with Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
• Familiar with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
• Familiar with HPC Job Scheduling tools including Slurm
• Experience using the Atlassian Tool Suite (JIRA, Confluence)