Software Engineer 3

General Dynamics Information Technology • Annapolis Junction, MD

1d • Onsite

About The Position

Transform technology into opportunity as a Software Engineer Principal at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career. MEANINGFUL WORK AND PERSONAL IMPACT The Software Engineer shall possess extensive expertise in dataflow design, data transport mechanisms, and Apache Spark based distributed processing. In this role, the Software Engineer will be responsible for designing, implementing, and optimizing data ingress and egress pathways to ensure efficient, scalable, and reliable processing of the organization’s analytics workloads. WHAT YOU’LL NEED TO SUCCEED Bring your engineering expertise along with a drive for innovation to GDIT. The Software Engineer Principal must have: ● Education: Bachelor of Science ● Experience: 8+ years of related experience ● Security clearance level: TS/SCI w/ Polygraph

Requirements

• Experience using the Linux CLI and Linux tools
• Experience developing Bash scripts to automate manual processes
• Recent software development experience using Python and Java
• Experience with Distributed Big Data processing engines including Apache Spark
• Experience using Jupyter Notebook
• Experience with data wrangling and preprocessing using tools such as pandas, NumPy
• Experience working with structured, semi-structured, and unstructured data such as Parquet, JSON, CSV, XML
• Familiarity with data quality concepts, data validation, and anomaly detection
• Experience with Git Source Control System
• Education: Bachelor of Science
• Experience: 8+ years of related experience
• Security clearance level: TS/SCI w/ Polygraph
• US Citizenship Required: Yes

Nice To Haves

• Experience using 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)

Responsibilities

• designing, implementing, and optimizing data ingress and egress pathways to ensure efficient, scalable, and reliable processing of the organization’s analytics workloads

Benefits

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Community: Award-winning culture of innovation and a military-friendly workplace

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level