Backend Infrastructure Engineer - Build Scalable Data Systems

Palantir Technologies; New York (NY); On-site; USD 135,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Relocation assistance

Paid time off

401k plan

Fertility and family building benefits

Job summary

Palantir Technologies is seeking a Software Engineer in New York, NY to build scalable systems for data analytics. In this role, you'll engage in the entire product lifecycle, collaborate with teams, and contribute to the design of APIs and resilient systems. We're looking for candidates with strong coding skills, a background in relevant engineering disciplines, and a motivation to solve real-world problems. Join us to empower users through actionable data insights and innovative technologies.

Qualifications

• Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field.
• Strong coding skills with demonstrated proficiency in programming languages such as Java, C++, Python, or Rust.
• Familiarity with storage and data processing systems, cloud infrastructure, and other technical tools.

Responsibilities

• Building a performant search and indexing ecosystem for complex data.
• Contributing to open-source data processing libraries.
• Building distributed systems that power large scale compute workloads.
• Designing architecture and APIs to keep application developers on the happy path.

Skills

Strong coding skills

Collaboration and empathy

Ability to learn new technologies

Bias towards quality

Education

Engineering background in Computer Science or related field

Tools

Java

C++

Python

Rust

Job description

Palantir Technologies is seeking a Software Engineer in New York, NY to build scalable systems for data analytics. In this role, you'll engage in the entire product lifecycle, collaborate with teams, and contribute to the design of APIs and resilient systems. We're looking for candidates with strong coding skills, a background in relevant engineering disciplines, and a motivation to solve real-world problems. Join us to empower users through actionable data insights and innovative technologies.