Senior Data Engineer, Data Analytics

Agility Robotics

. Collaborate with robot software and hardware teams to define, collect, and curate data for analytics and debugging .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $175,000 - $274,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production data pipelines, with strong proficiency in Apache Spark and complementary programming skills in Python, Java, and Scala. Capable of implementing data quality checks and managing metadata while collaborating effectively across software, hardware, and analytics teams.

Highest-signal resume keywords

Apache Spark ProficiencyData Pipeline DevelopmentETL Pipeline MaintenanceData Quality ManagementData Modeling Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL DevelopmentData ModelingSchema EvolutionData Quality ChecksApache AirflowPython ProgrammingJava ProgrammingC++ ProgrammingStructured Datasets

Soft Skills

Cross-Functional Collaboration

Tools & Technologies

AWS Data ServicesApache IcebergDelta LakeData Catalog SystemsMetadata Management

Industry Keywords

Data AnalyticsTelemetry DataFleet DashboardsReliability ModelsBusiness Metrics

Tech Stack

Tools & technologies

AirflowApacheAWSETLJavaPythonScalaSparkC++

About the role

Key responsibilities & impact

Collaborate with robot software and hardware teams to define, collect, and curate data for analytics and debugging
Develop and maintain ETL pipelines transforming raw robot logs and telemetry into structured datasets using Spark, Airflow or equivalent orchestration tools, and AWS data services
Own gold-layer datasets powering fleet dashboards, reliability models, and business metrics
Establish freshness SLAs, documentation, and monitoring for reliable analytics and data science datasets
Implement data quality checks, schema evolution, and metadata management using internal data registry and cataloging systems
Collaborate with reliability, analytics, and ML teams to design efficient data models
Occasionally contribute to shared libraries or APIs in Python, Java, or C++ supporting data capture and consumption

Requirements

What you’ll need

5+ years of experience as a Data Engineer or similar role building and maintaining production data pipelines
Strong proficiency in Apache Spark or an equivalent distributed data processing framework
Complementary programming skills in Python, Java, and/or Scala
Experience with Airflow, Dagster, Prefect, or other data orchestration systems
Proficiency with Avro, Parquet, and structured/numeric datasets
Familiarity with table formats such as Apache Iceberg and Delta Lake, and medallion architecture
Solid understanding of data modeling, schema evolution, and data quality best practices
Ability to model datasets logically and partition them physically for optimal query performance for analytical query engines and playback/root-cause analysis
Comfort working cross-functionally with software, hardware, and analytics teams
Current authorization to work in the United States
Familiarity with data versioning or immutable dataset design (nice to have)
Experience with vision-data pipelines and multimodal data processing (nice to have)
Familiarity with C++ and willingness to contribute to logging or data serialization libraries (nice to have)
Experience with data catalog systems and metadata management (nice to have)

Benefits

Comp & perks

401(k) plan with a 6% company match
Company stock options
100% company-paid medical, dental, vision, and short/long-term disability insurance for employees
Benefits eligibility on the first day of employment
Employee Assistance Program (EAP)
Flexible, unlimited PTO and 12 company holidays, including a winter shutdown, for exempt employees
10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually, for non-exempt employees
Catered lunches four times a week and healthy snacks and refreshments at Salem and Pittsburgh locations
Generous paid parental leave programs
Flexible work arrangements
Professional development and tuition reimbursement programs
Relocation assistance for eligible roles
Annual discretionary bonus for eligible roles