What are the responsibilities and job description for the Data Engineer (Palantir Foundry Engineer) position at Collabera?
Client: Manufacturing & Packaging
Job Title: Senior Data Engineer (Senior Palantir Foundry Engineer (Development) - Big Data)
Location: Remote (EST Time Zone in USA)
Duration: 03 Months - (Extension/Conversion based on performance)
Pay Range: ($90-$95) on an hourly basis
Description:
- Senior Palantir Foundry Engineer (Development) - Big Data
Qualifications
Bachelor’s degree in Computer Science, Data Analytics, Engineering, Statistics, or related field.
Strictly looking for 7 - 10 years of hands-on data engineering or analytics experience.
Must-Have Skills
Hands-on experience with Palantir Foundry (data pipelines, transformations, ontology workflows).
Strong proficiency in SQL and working with large datasets.
Experience with at least one programming language: Python or Scala.
Ability to build visualizations/dashboards (Foundry Slate or other BI tools).
Knowledge of data modeling, ETL concepts, and data quality frameworks.
Strong analytical thinking and problem-solving skills.
Good-to-Have
Experience with Snowflake, AWS, Azure, or GCP environments.
Familiarity with Git or version control workflows.
Exposure to APIs, data integration, or automation scripts.
Overview
- We are seeking a detail-oriented Data Engineer with strong experience in Palantir Foundry to support enterprise data workflows, develop analytical pipelines, and build scalable data products.
- The ideal candidate has a strong foundation in data modeling, SQL, and dashboard/report automation, with hands-on exposure to modern cloud and data engineering tools.
Key Responsibilities
Build, maintain, and optimize data pipelines, transformations, and workflows in Palantir Foundry (Code Workbook, Contour, Quiver, Slate).
Develop and automate reports, dashboards, and metrics to support business decision-making.
Perform data validation, quality checks, and reconciliation across multiple datasets.
Collaborate with product, engineering, and business teams to translate requirements into technical solutions.
Troubleshoot data issues and ensure reliable delivery of data products.
Support documentation, versioning, and best practices for data governance.
Work with structured/unstructured datasets from varied business domains.
Benefits:
- The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable).
Salary : $85 - $95