Senior Data Engineer, Data Analytics

Job not on LinkedIn

🔥 4 hours ago

🏄 California, Oregon, +1 more states – Remote

🏄 California – Remote 🌲 Oregon – Remote 🔔 Pennsylvania – Remote

💵 $175k - $274k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Agility Robotics

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

📦 Logistics

🏭 Manufacturing

🔧 Hardware

Logistics • Manufacturing • Hardware

Agility Robotics is a leading manufacturer of mobile manipulation robots, known for their humanoid robot Digit. The company focuses on deploying its robots in commercial settings, such as material handling workflows, to enhance productivity across various industries including third-party logistics, manufacturing, and retail & eCommerce. With their innovative cloud automation solution, Agility Arc, these robots provide game-changing automation solutions. Agility Robotics aims to revolutionize labor by integrating humanoid robots in settings where meaningful work and economic value are crucial.

📋 Description

• 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

• 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

• 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

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