Software Engineer ; Data Transformation & Analytics

Title:

Software Engineer 2 (Data Transformation & Analytics)

Location:

Annapolis Junction, MD

Compensation Range: $170 -$190K

Clearance: Active TS/SCI w/ Polygraph needed to apply

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation’s toughest and most secure problems.

If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don’t look any further than Cornerstone Defense.

• Medical, Dental and Vision Plans
• Generous PTO Policy
• 401(k)
• HSA and FSA options
• Life and Disability Insurance
• Tuition Reimbursement and Training
• Perks at Work Discount Program
• Referral Program
• Leads Generation Program
• College America 529
• Fitness Reimbursement Program
• Travel Assistance
• Norton Lifelock Benefit Solutions
• Life Planning Financial & Legal Services

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.

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 Num Py
• 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

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