Agility RoboticsHiring

Senior Data Engineer, Data Analytics

  • Remote, worldwide
  • Senior
  • Posted 2 days ago
In one line

Data platform role turning robot logs and telemetry into reliable datasets for analytics and debugging.

About the role

Fleet operations, hardware reliability and machine learning all depend on the data this team curates, from what the robots record to how it lands in the cloud.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Senior
Skills
Spark, Airflow, AWS, Python, Java, Scala, Parquet, Iceberg
Posted
2 Nov 2026
Last checked
3 Nov 2026

What you will do

  • Work with robot software and hardware teams to define and curate data for analytics and debugging
  • Build and maintain ETL pipelines that turn raw logs and telemetry into structured sets with Spark, Airflow and AWS
  • Own gold-layer datasets with freshness SLAs, documentation and monitoring
  • Add data quality checks, schema evolution and metadata management

What they look for

  • Five or more years building and running production data pipelines
  • Strong Spark or similar distributed processing, with Python, Java or Scala
  • Experience with Airflow, Dagster, Prefect or another orchestrator
  • Familiarity with Avro, Parquet, Iceberg or Delta Lake and medallion architecture
  • Solid grasp of data modeling, schema evolution and partitioning for query performance

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Connector URL
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Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Senior Data Engineer, Data Analytics as a remote role open to candidates worldwide.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: five or more years building and running production data pipelines; strong Spark or similar distributed processing, with Python, Java or Scala; experience with Airflow, Dagster, Prefect or another orchestrator. Skills it names include Spark, Airflow, AWS, Python.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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