Agility Robotics Logo

Agility Robotics

Senior Data Engineer, Data Analytics

Posted Yesterday
Remote
Hiring Remotely in USA
175K-274K Annually
Senior level
Remote
Hiring Remotely in USA
175K-274K Annually
Senior level
Build and maintain production data pipelines that transform robot logs and telemetry into reliable, queryable datasets. Design Spark-based ETL workflows, orchestrate processing with Airflow or similar tools, manage gold-layer datasets, and implement data quality, schema evolution, monitoring, and metadata practices. Collaborate with robotics, hardware, reliability, analytics, and ML teams on data modeling, fleet insights, debugging, and root-cause analysis. The role may also contribute to Python, Java, or C++ libraries supporting data capture and consumption.
The summary above was generated by AI

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 ForRequired:
  • 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.


Similar Jobs

12 Days Ago
Remote or Hybrid
172K-301K Annually
Senior level
172K-301K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and technical direction for a high-volume log analytics platform spanning ingestion, storage, querying, reliability, and AI-driven capabilities. Shape the roadmap with engineering, product, leadership, and customers; build prototypes; guide migrations and schema changes; set reliability and cost standards; influence teams without direct ownership; mentor senior engineers and technical leads; and promote strong practices in quality, on-call operations, and incident learning.
Top Skills: AIAmazon KinesisApache PulsarCloud InfrastructureColumnar DatabasesElasticsearchGoJavaKafkaKubernetesLlmsObject StorageOpensearchOpentelemetryPythonRustScalaTime-Series Databases
15 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architects the data and AI foundation for marketing, sales, and analytics. Responsibilities include building Databricks pipelines, Gold Layer tables, semantic models, documentation, AI-enabled data products, and production LLM or agent systems. The role leads cross-functional initiatives, translates ambiguous business needs into scalable solutions, ensures data quality and reliability, mentors engineers, automates workflows, and partners with BI, data science, marketing, sales, and R&D teams.
Top Skills: Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEtl/EltLakehouse ArchitecturesLlmsMarketing AutomationMartechPythonSalesforceSemantic LayersSnowflakeSQLStreamlitWeb Analytics
20 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and documentation for self-service analytics. Lead cross-functional data initiatives, ensure reliability and quality, mentor engineers, and build production LLM and agent systems. Translate ambiguous business needs into scalable solutions, automate marketing and go-to-market workflows with AI, and deliver high-quality Python and SQL while overseeing AI-generated code.
Top Skills: Ai AgentsBigQueryClaude CodeCursorDatabricksDbtLlmsPythonSalesforceSnowflakeSQLStreamlit

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account