Startups · AI

Staff Software Engineer - Data Platform

Harness · Mountain View, California, United States · On-site

← All jobs
About Harness

Backed by Battery, Norwest and GV.

About the role

We are seeking a talented and experienced Data Platform Engineer to join our team as the Technical Lead. The ideal candidate will be responsible for designing, developing, and maintaining our data pipelines and infrastructure. They will work closely with cross-functional teams to understand data requirements, implement solutions, and ensure data quality and reliability. The data engineer will also be involved in optimizing data processes and supporting data analytics initiatives.

What they're looking for

  • Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred
  • 9+ yrs of proven experience as a data engineer or similar role, with a strong background in data warehousing, ETL/ELT processes, and data modeling
  • Proficiency in programming languages such as Python, Java, or Scala
  • Experience with big data technologies such as BigQuery, Spark, Kafka, DBT, SQLMesh etc
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Strong SQL skills and experience working with relational and NoSQL databases
More about this role

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.

Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.

Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like...

Read the full posting on Harness's site ↗

Software Development

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.