Supports the development and maintenance of secure data pipelines and ETL/ELT workflows
Builds analytics-ready datasets
Processes structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart
Collaborates with data scientists, engineers, and mission stakeholders

🎯 Requirements

Bachelor’s degree in computer science, data science, engineering, information systems, mathematics
3+ years of relevant data engineering, software development, data analytics, or enterprise-platform
Experience with Python and SQL
Familiarity with data validation, data modeling, and data-quality practices
Familiarity with Spark, PySpark, Databricks, or comparable technologies
Experience supporting ETL/ELT pipelines and data transformations

🎁 Benefits

Employee is valued as family member
Culture is alive and evolving
Equal Opportunity Employer
Protected Veterans and Individuals with Disabilities

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