Palantir Data Engineer Level III/IV

Compunnel

• $120K — $145K *
Charlotte, NC 28269In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Hands-on experience with Palantir software.
  • Strong experience with AWS cloud services.
  • Experience with Apache Hive for data querying.
  • Strong experience with Databricks platform.
  • Experience designing and developing microservices architecture.
  • Proficient in Python for data analysis and software development.
  • Experience with REST API development and integration.
  • Strong experience with Snowflake for data warehousing.

Responsibilities

  • Develop and optimize data pipelines using Palantir and AWS.
  • Create and maintain microservices for data processing.
  • Implement data solutions on the Databricks platform.
  • Utilize Snowflake for data warehousing and analytics tasks.
  • Conduct data analysis using Python to drive insights.
  • Work with REST APIs to facilitate data integrations.
  • Collaborate in software development projects using agile methodologies.

Benefits

  • Opportunity for professional growth in advanced data technologies.
  • Access to cutting-edge tools and platforms like Palantir and AWS.
  • Collaborative work environment with cross-functional teams.
  • Potential for remote work or flexible hours.
  • Participation in ongoing training and development programs.
Full Job Description
Job Summary
We are seeking a Palantir Data Engineer Level III/IV with strong experience in data engineering, software development, cloud platforms, and modern data technologies. The ideal candidate will have hands-on experience with Palantir, AWS, Databricks, Apache Hive, Snowflake, Python, microservices architecture, and REST API development.

Required Qualifications
• Hands-on experience with Palantir software.
• Strong experience with Amazon Web Services (AWS).
• Experience with Apache Hive.
• Strong experience with the Databricks Platform.
• Experience designing and developing Microservices Architecture.
• Strong Python experience for data analysis.
• Strong Python software development experience.
• Experience with REST API development.
• Strong experience with Snowflake.

Preferred Qualifications
• Experience with Apache Kafka.
• Experience with C#/.NET.
• Experience with Microsoft SQL Server.
• Experience with .NET Core.
• Experience with Oracle.
• Experience with Red Hat OpenShift.
* Ladders Estimates

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