Staff Software Engineer, Data Platform

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Oregon, +1 more states – Remote

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

💵 $191k - $299k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Design and implement scalable data pipelines for ingesting and processing telemetry, logs, and sensor data from the robot fleet and associated cloud software • Develop and maintain data ingestion agents running directly on robot software for high-volume data ingestion in low-connectivity environments • Maintain and develop data formats and protocols optimized for transmission, storage, and querying of data recordings, sensor data, and telemetry • Develop and maintain observability systems using tools such as Fluent Bit and OpenTelemetry for real-time monitoring and analytics of fleet operations • Implement solutions to prepare high-volume, high-velocity data for analysis using technologies such as Spark and Kafka • Build and optimize tools for internal stakeholders for business intelligence, long-horizon fleet analytics, and forecasting using AWS S3, Athena, and SageMaker • Leverage IoT experience to improve data collection and processing pipelines from robot sensors and edge devices • Contribute to improving robot performance, operational insights, and scaling cloud-based systems

🎯 Requirements

• 5+ years of experience building and scaling cloud-based data platforms • Familiarity with cloud providers such as AWS, GCP, or Azure • Proficiency in big data frameworks such as Spark, Kafka, Beam, or Flink • Familiarity with OSS data formats such as Parquet, Arrow, and Iceberg • Familiarity with data protocols such as Avro and Protobuf • Experience with observability tools such as OpenTelemetry and Prometheus • Experience implementing metrics, tracing, and logging systems • Proficiency in Java, Scala (any JVM), or Python • Solid understanding of distributed systems and microservices architectures • Current authorization to work in the United States • Robotics, autonomous vehicles, or sensor-heavy workload experience strongly preferred • Knowledge of IoT systems, edge computing, or embedded devices nice-to-have • Data catalog experience with DataHub, Amundsen, or Databricks Unity Catalog • Experience with Databricks, Kubernetes, Bazel/Blaze or other build systems, C++, Rust, and robot data formats such as MCAP or ROS are bonus qualifications

🏖️ 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