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Data Engineer Palantir Jobs in Utah (NOW HIRING)

Data Engineer Palantir information

What does a data engineer at Palantir do?

A Data Engineer at Palantir is responsible for designing, building, and maintaining the data infrastructure that powers Palantir’s software platforms. They work closely with clients to ingest, process, and transform large volumes of data from disparate sources, ensuring that data is reliable, accessible, and optimized for analysis. Data Engineers also collaborate with other technical teams to implement data integration pipelines, develop scalable solutions, and help organizations make data-driven decisions using Palantir's tools.

What skills and qualifications are needed to thrive as a data engineer at Palantir?

To thrive as a Data Engineer at Palantir, you need strong programming skills (Python, Java, or Scala), in-depth knowledge of database systems, and experience with large-scale data pipelines, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, and Palantir Foundry, as well as familiarity with cloud platforms (AWS, GCP, or Azure), is typically required. Outstanding problem-solving abilities, collaboration, and adaptability help you work effectively in dynamic, cross-functional teams. These skills and qualities are vital for building robust data solutions that drive impactful insights and support complex client operations.

What are common challenges data engineers face when working with Palantir's platforms, and how can they be addressed?

Data Engineers at Palantir often encounter challenges such as integrating disparate data sources, maintaining data quality, and ensuring data security within complex environments. Addressing these challenges requires strong collaboration with cross-functional teams, continuous learning of Palantir’s proprietary tools like Foundry, and implementing best practices for data governance. Proactively communicating with stakeholders and leveraging Palantir’s support resources can help resolve integration issues and optimize data pipelines.

What is the difference between Data Engineer Palantir vs Data Analyst Palantir?

AspectData Engineer PalantirData Analyst Palantir
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and deriving insights
Required SkillsSQL, Python, data architecture, ETL processesSQL, Excel, data visualization, statistical analysis
Work EnvironmentTechnical teams, data engineering projects, infrastructure developmentBusiness teams, reporting, data interpretation
Common CertificationsGoogle Cloud Certified, AWS Data Analytics, Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Tableau Desktop Specialist

While Data Engineer Palantir focuses on building and maintaining the data infrastructure, Data Analyst Palantir concentrates on analyzing data and providing insights. Both roles require strong SQL skills and familiarity with Palantir platforms, but they serve different functions within data teams.

What cities in Utah are hiring for Data Engineer Palantir jobs?

Cities in Utah with the most Data Engineer Palantir job openings:

Senior Associate, Data Architect

L3HHCM20

Salt Lake City, UT

$84K - $156K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

Job Title: Senior Associate, Data Architect 

Job Code: 43047

Job Location: Multiple (Rochester, NY, Melbourne, FL, Salt Lake City, UT, Londonderry, NH, Nashville, TN, Carlsbad, CA)

Job Schedule: 9/80:Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off 

Job Description:

This position is responsible for designing, building, and maintaining scalable data infrastructure and integration solutions that enable segment-wide business intelligence and analytics capabilities. As a member of the CSD Business Intelligence team, the selected candidate will develop and optimize Azure Data Factory pipelines, manage data flows into Snowflake, build functional domain data models across disparate systems, and support advanced data initiatives including integration with Palantir Foundry.

Essential Functions:

  • Design, develop, and maintain Azure Data Factory pipelines and ETL/ELT workflows to ingest, transform, and load data into Snowflake from disparate source systems, ensuring reliable and timely data delivery for BI and analytics consumption
  • Develop functional domain data models across multiple business systems ensuring data is structured, consistent, and optimized for reporting and analytical use cases
  • Ensure data quality, reliability, and pipeline health through validation rules, reconciliation controls, completeness monitoring, and observability workflows
  • Collaborate with BI Analysts to ensure underlying data models and pipelines support Power BI dashboard and report development

Qualifications:

  • To be eligible, applicants must be pursuing a master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field or have completed their master's degree within the last 12 months, regardless of age. 

Preferred Additional Skills:

  • Proficiency in Python and Git for data engineering tasks including scripting, automation, pipeline development, and modern development workflows
  • Experience with Palantir Foundry for data integration, pipeline development, and analytical workflow design
  • Experience with Microsoft Fabric, Azure Data Factory, or Azure Blob Storage for data engineering and pipeline orchestration
  • Knowledge of data governance concepts and familiarity with Microsoft Purview or similar platforms
  • Experience with Power BI semantic model development and familiarity with dbt for data transformation and modeling workflows

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $84,000 - $156,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $73,000 - $136,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.