Remote opportunity at
Agility RoboticsSenior Data Engineer, Data Analytics
Agility Robotics produces commercially deployed humanoid robots designed to operate within manufacturing facilities, distribution centers, and warehouses, handling repetitive and physically demanding duties so human workers…
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About This Role
Agility Robotics produces commercially deployed humanoid robots designed to operate within manufacturing facilities, distribution centers, and warehouses, handling repetitive and physically demanding duties so human workers can concentrate on higher-value responsibilities. The organization is currently hiring a Senior Data Engineer, Data Analytics to join the Data Platform team. This position involves collaborating closely with hardware and robotics engineering groups to build, curate, and maintain robust datasets supporting analytics, debugging, and…
Job Description
Agility Robotics produces commercially deployed humanoid robots designed to operate within manufacturing facilities, distribution centers, and warehouses, handling repetitive and physically demanding duties so human workers can concentrate on higher-value responsibilities. The organization is currently hiring a Senior Data Engineer, Data Analytics to join the Data Platform team.
This position involves collaborating closely with hardware and robotics engineering groups to build, curate, and maintain robust datasets supporting analytics, debugging, and fleet-wide insights. Professionals in this role bridge raw robot telemetry with actionable intelligence by designing cloud ingestion pipelines, data transformations, and gold-layer datasets that drive performance metrics, reliability models, and executive dashboards. The work encompasses both on-device data generation and cloud-based processing infrastructure.
The role is fully remote with an optional hybrid schedule for candidates living near company offices located in Pittsburgh, Pennsylvania, Salem, Oregon, or Fremont, California. The anticipated annual base salary ranges from USD 175,000 to USD 274,000, supplemented by a comprehensive compensation and total rewards package.
Responsibilities
- Partner with robot software and hardware departments to gather and shape data for analytics and troubleshooting
- Build and sustain ETL pipelines converting raw telemetry and logs into structured datasets using Spark, AWS, and orchestration software
- Manage gold-layer datasets supporting reliability models and fleet dashboards while maintaining documentation, monitoring, and freshness SLAs
- Incorporate data quality controls, schema evolution strategies, and metadata practices utilizing internal catalog systems
- Design optimized data models in cooperation with analytics, machine learning, and reliability teams
- Contribute occasionally to shared C++, Java, or Python libraries and APIs for data collection and consumption
Requirements
- Minimum of five years of professional data engineering experience creating and keeping production data pipelines operational
- Strong expertise in distributed data processing frameworks such as Apache Spark alongside programming capabilities in Scala, Java, or Python
- Familiarity with data orchestration platforms like Airflow, Dagster, or Prefect
- Working knowledge of structured numeric datasets and data formats including Parquet and Avro
- Understanding of medallion architecture and table formats like Delta Lake and Apache Iceberg
- Knowledge of data quality practices, schema evolution, and logical or physical dataset modeling for query efficiency
- Ability to work collaboratively across hardware, software, and analytics divisions
Qualifications
- Experience working with immutable dataset design and data versioning
- Familiarity handling and querying multimodal perception or vision data including point clouds, depth data, and RGB
- Knowledge of C++ and readiness to help build lightweight serialization or logging libraries
- Background utilizing metadata management and data catalog systems
Core Skills
Benefits
- 401(k) retirement plan featuring a 6 percent employer match
- Company stock options
- Full company-paid medical, dental, vision, and disability insurance starting on the first day of employment
- Employee Assistance Program for well-being support
- Flexible unlimited paid time off for exempt workers, or 10 vacation days for non-exempt workers
- 12 company-paid holidays including a winter shutdown period
- Catered lunches four times a week and snacks at the Pittsburgh and Salem offices
- Generous paid parental leave
- Professional development and tuition reimbursement options
- Relocation assistance where applicable
- Annual discretionary bonus eligibility
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
This is a fully remote role with an option for hybrid work if you live near company offices in Salem, Oregon; Pittsburgh, Pennsylvania; or Fremont, California.
What is the salary range for this role?
The anticipated base salary ranges from USD 175,000 to USD 274,000 per year, with final compensation depending on factors such as market location, skills, and experience.
What experience is required to apply?
Candidates must have at least five years of data engineering experience building production pipelines, strong proficiency in Apache Spark with Python, Java, or Scala, and experience with orchestration tools and data formats.
What benefits are included?
Full-time employees receive a 401(k) with a 6% company match, stock options, 100% employer-paid health and disability insurance from day one, flexible time off, paid parental leave, and more.
Sample Interview Questions
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