Data Engineer (Palantir Foundry Engineer)

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).