Mid-Level Software Engineer

2HBorporated • Annapolis Junction, MD

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About The Position

The Software Engineer shall be responsible for 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.

Requirements

• TS/SCI/Full Scope Polygraph Clearance
• 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. OR 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 OR 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

Nice To Haves

• 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)

Responsibilities

• identifying ways to create consistent and repeatable capabilities
• 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

What This Job Offers

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