Data & Software Engineer

Responsibilities

• Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions
• Leverage problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
• Support large-scale data migration or platform modernization efforts
• Contribute to data engineering documentation, best practices, and design patterns
• Build complex data flows for custom applications

Requirements

• Active TS/SCI with Polygraph Clearance
• Experience building end-to-end data pipelines using Python
• Experience with orchestration tools and configuring Spark Jobs
• Knowledge of containerization and deployment in AWS environments
• Proficiency with MySQL and PostgreSQL (performance tuning, schema design, query optimization)
• Experience with Git and Infrastructure as Code (IaaC)
• Experience with data catalogs, data lineage, and Geospatial data formats
• Proficiency in Bash scripting for automation
• Experience integrating AI/ML services and models
• Minimum 5 years of experience with Apache Spark, PySpark, Python (Pandas/NumPy), Docker, AWS (S3, Lambda, Step functions), Airflow, SQL (Trino), NoSQL (DynamoDB), and Terraform/CloudFormation

Benefits

• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Company Sponsored Events

About the Company

GRVTY delivers mission and technical expertise to tackle systemic national security issues. We provide tactical data engineering solutions, embedding skilled professionals directly into intelligence analyst groups to turn data into intelligence.