Palantir Engineer

PALMETTO TECHNOLOGIES, LLC
Dallas, TX, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$104,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Big Data Information Engineering Data Governance Data Systems Database Development Python (Programming Language) Cloud Services Systems Integration Enterprise Data Management File Transfer Protocol (FTP) Palantir Foundry
+3 more
Pyspark Data Analytics Data Management

Job description

We are seeking a dynamic and innovative Palantir Engineer to join our team and drive transformative data solutions. In this role, you will leverage cutting-edge big data technologies, cloud platforms, and advanced data modeling techniques to develop scalable data systems that empower decision-making and strategic insights. Your expertise will enable us to harness complex datasets, optimize data management workflows, and deliver impactful business intelligence solutions. If you thrive in a fast-paced environment where your technical skills can shape the future of data-driven initiatives, this is the opportunity for you!

Requirements

  • 5+ years of Data Engineering experience.
  • 1+ years of Palantir Foundry experience.
  • Strong Python, PySpark, and SQL development skills.
  • Experience integrating enterprise data platforms using APIs, SFTP, and cloud-native data services.
  • Experience building operational workflows, alerts, and case management applications.
  • Understanding of data governance, lineage, security, and compliance controls.
  • Strong stakeholder communication and Agile delivery experience., * 1+ year Palantir experience
  • 5+ years of Python experience

Work Location: Hybrid remote in Dallas, TX 75243

About the company

Join us as a Palantir Engineer to be at the forefront of innovative data solutions! Your expertise will help shape powerful insights that drive impactful decisions across our organization while working within an energetic team committed to excellence in data engineering and analytics.

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