Renew HomeHiring

Staff Engineer, Data Platform

  • Remote, United States
  • Full-time
  • Senior
  • Posted 5 weeks ago
In one line

Staff data engineering role on a remote US team, owning the data platform and streaming pipelines that handle telemetry from millions of connected homes.

About the role

Someone who has led architecture at scale and still writes code, and who is glad to mentor other engineers and set the standards for pipelines, data quality and uptime.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Employment
Full-time
Skills
Python, Redshift, AWS, GCP, Kafka, Flink, Iceberg, Terraform
Posted
24 Sep 2026
Last checked
28 Oct 2026

What you will do

  • Set the long-term data architecture, roadmap and design standards for the platform
  • Design batch and real-time streaming infrastructure that handles device data from millions of homes
  • Join the on-call rotation and lead infrastructure support operations

What they look for

  • Ten or more years in software and data engineering, with architectural leadership at scale
  • Production experience with streaming tools such as Kafka, Flink, Kinesis, PubSub or Lambda
  • Deep knowledge of data lake design using S3, Iceberg, Glue or Delta Lake
  • Strong database design, query tuning, indexing and partitioning skills

Nice to have

  • Experience with Python, Prefect or Terraform

Benefits

  • Remote work within the US

How Keywordise applies for you

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Connector URL
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Connector URL
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Staff Engineer, Data Platform as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: ten or more years in software and data engineering, with architectural leadership at scale; production experience with streaming tools such as Kafka, Flink, Kinesis, PubSub or Lambda; deep knowledge of data lake design using S3, Iceberg, Glue or Delta Lake. Skills it names include Python, Redshift, AWS, GCP.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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