Enterprise Data Engineer

Responsibilities

• Write robust and efficient Python and SQL scripts to automate data processing tasks
• Integrate data from diverse sources such as databases, APIs, and flat files into centralized systems
• Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability
• Ensure data structures are optimized for performance and scalability
• Provide technical guidance and support for Palantir tools across teams
• Implement data quality checks, validation, and monitoring mechanisms
• Maintain and improve data quality, consistency, and accuracy through cleansing processes

Requirements

• Active TS/SCI with Polygraph Clearance
• 3+ years of experience in data engineering
• Strong proficiency in Python
• Expertise in SQL for querying, transformation, and optimization
• Experience with data integration from APIs, relational databases, and file systems
• Strong analytical and problem-solving skills

Preferred Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related field
• Hands-on experience with Palantir
• Experience with cloud platforms (AWS, Azure, GCP)
• Experience with big data technologies like Apache Spark or Hadoop
• Familiarity with data orchestration tools such as Apache Airflow or Prefect

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 provides tactical data engineering solutions, embedding skilled professionals directly into intelligence analyst groups to turn data into intelligence in response to immediate mission needs.