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Motion Recruitment

Senior Data Engineer - Robotics

Motion Recruitment
Wilmington, MA Full time Posted 5d ago
Senior Analytics Apache Airflow Big Data Bigdata Business Intelligence Data Analysis Data Analytics Data Architecture Data Engineer Data Integration Data Pipeline Data Pipelines Data Platform Data Processing Data Warehouse Data Warehousing ETL Real Time Data Robotics SQL
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Job Description

Senior Data Engineer (Robotics) role is onsite in Wilmington, MA with Motion Recruitment. You will build and scale data platforms that help power robotic operations, fleet management, analytics, machine learning, and customer reporting. This is a hands-on position focused on telemetry and streaming at scale, with an emphasis on data quality, reliability, accessibility, and performance.

What you’ll build and improve

  • 100% hands on design and development of scalable pipelines ingesting telemetry from robotic fleets
  • Real-time and batch processing workflows for robotic system data, supporting operational visibility and downstream analytics
  • Data solutions for analytics, reporting, and machine learning initiatives
  • Data models optimized for operational and business intelligence use cases
  • Monitoring and troubleshooting of pipeline performance, including data quality issues
  • Support customer-facing analytics and operational reporting solutions
  • Implementation of data governance, validation, and monitoring processes
  • Optimization of storage, processing, and retrieval for large-scale operational datasets
  • Contribute to architectural decisions for cloud-native data platforms and services
  • Partner with robotics and software engineering teams to improve data collection and accessibility

Core requirements

  • Strong proficiency in Python and SQL
  • Experience building and maintaining large-scale data pipelines
  • Cloud-based data platform experience, with AWS preferred
  • Knowledge of ETL and ELT frameworks
  • Experience with data warehousing technologies
  • Experience processing large volumes of event-driven or streaming data
  • Knowledge of distributed data systems and scalable architectures
  • Experience with Spark, Kafka, Airflow, or similar technologies
  • Strong understanding of data modeling and database design
  • Software engineering best practices including testing and version control

Technologies you’ll work with

  • Python, SQL, AWS
  • ETL, ELT
  • Spark, Kafka, Airflow
  • Data warehousing technologies

Compensation and benefits

  • Bonus OR Commission eligible
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) (including match, if applicable)

Experience and background

  • 5+ years of Data Engineering experience
  • Experience with IoT, robotics, sensor, or telemetry datasets
  • Experience supporting machine learning or analytics teams
  • Familiarity with real-time data processing architectures
  • Knowledge of warehouse automation, logistics, or supply chain technologies
  • Experience with Databricks or modern cloud analytics platforms
  • Bachelor’s degree in Computer Science, Data Engineering, Engineering, or related field
  • Experience working in a fast-paced startup or high-growth environment

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