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Agility Robotics

Senior Data Engineer, Data Analytics

Remote, United States

$175,000 - $274,000 USD

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Job details

Pay: $175,000 - $274,000 USD
Experience: 5+ years of experience as a Data Engineer or similar role building and maintaining production data pipelines.
Posting language: English
Posted: Nov 2, 2026

Original job description

Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers - tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Team

Agility Robotics is building the future of work through humanoid robots that operate in human environments. The Data Platform team builds the data infrastructure that powers everything from fleet operations and hardware reliability to business analytics and machine learning. We enable engineers across robotics, perception, and product teams to derive insight from the vast quantities of telemetry and log data generated by our robots in the field.

About The Role

We are looking for a Senior Data Engineer to join our Data Platform team and help shape the foundation of data-driven operations at Agility. In this role, you’ll work closely with robotics & and operations teams to design, curate, and maintain high-quality datasets that enable analytics, debugging, and fleet-scale insights.

You’ll bridge the gap between raw robot data and actionable information - working both on-robot data generation and in the cloud ingestion and processing pipelines. You’ll design transformations, author pipelines, and collaborate across teams to deliver reliable and queryable data products for hardware reliability, system health, workflow metrics, and root cause analysis.

What You’ll Do

Collaborate with robot software and hardware teams to define, collect, and curate data needed for analytics and debugging.
Develop and maintain ETL pipelines that transform raw robot logs and telemetry into structured datasets using Spark, Airflow (or equivalent orchestration tools), and AWS data services.
Own the gold-layer datasets that power fleet dashboards, reliability models, and business metrics, with defined freshness SLAs, documentation, and monitoring so analytics and data science teams can rely on them.
Implement data quality checks, schema evolution, and metadata management practices using our internal Data Registry and cataloging systems.
Collaborate with internal consumers - reliability, analytics, and ML teams - to design efficient data models for their workflows.
Occasionally contribute to shared libraries or APIs in Python, Java, or C++ to support data capture and consumption.

What We’re Looking For

Required:

5+ years of experience as a Data Engineer or similar role building and maintaining production data pipelines.
Strong proficiency in Apache Spark or equivalent distributed data processing framework with complementary programming skills in Python, Java and/or Scala.
Experience with Airflow, Dagster, Prefect, or other data orchestration systems.
Proficiency with data formats such as Avro, Parquet, and structured/numeric datasets.
Familiarity with table formats like Icerbeg, Delta Lake etc and medallion architecture.
Solid understanding of data modeling, schema evolution, and data quality best practices.
Good intuitions of how to model datasets logically and partition them physically for optimal query performance, both for analytical query engines and for playback or root-cause-analysis(e.g. ReRun, Foxglove etc)
Comfort working cross-functionally with software, hardware, and analytics teams in a fast-paced environment

Nice to Have:

Familiarity with data versioning or immutable dataset design (e.g., Apache Iceberg, Delta Lake)
Experience with vision data (RGB, depth, point clouds, or perception outputs) pipelines and how to process, store, and query multimodal efficiently.
Familiarity with C++ and willingness to contribute to lightweight logging or data serialization libraries.
Experience with data catalog systems and metadata management.

Why You’ll Love Working Here

Join a small, high-impact team building the data foundation for humanoid robotics.
Work at the intersection of physical systems and large-scale data infrastructure.
Collaborate with talented roboticists, software engineers, and data scientists shaping the future of automation

Location

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Base Salary Range

$175,000 - $274,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

401(k) Plan: Includes a 6% company match.
Equity: Company stock options.
Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
Benefit Start Date: Eligible for benefits on your first day of employment.
Well-Being Support: Employee Assistance Program (EAP).
Time Off:
Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
Parental Leave: Generous paid parental leave programs.
Work Environment: A culture that supports flexible work arrangements.
Growth Opportunities: Professional development and tuition reimbursement programs.
Relocation Assistance: Provided for eligible roles.
Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

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More about this job

Skills

Data analysis
Robotics
Machine learning
Debugging
Workflow
Root cause analysis
Data engineering
Apache Spark
Apache Airflow
AWS
Documentation
Statistical quality control
Cataloging
ML
Data models
Python
Oracle Java
C++
Process data
Scala
Apache Avro
Data modelling

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