Senior Data Quality Engineer – Robotics Operations - Boston

Motion Recruitment

Boston (MA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

Paid Time Off

401(k)

Job summary

Motion Recruitment is seeking a Senior Data Quality Engineer to ensure trusted data across robotic fulfillment operations. You will design frameworks and tooling to validate data quality throughout the technology stack, collaborating with software, robotics, product, and data professionals to prevent issues before they affect customers.

Responsibilities include building scalable validation systems, implementing automated testing and monitoring, establishing data quality standards and KPIs, and

Qualifications

Strong SQL and Python expertise.
Experience building data quality frameworks and validation processes.
Experience with large-scale operational datasets.
Knowledge of ETL and data integration processes.
Experience with cloud-based data platforms.
Understanding of database design and data modeling.
Experience creating automated testing and monitoring solutions.
Data governance and data integrity practices.
Excellent communication and cross-functional collaboration.

Responsibilities

Design and implement automated data quality monitoring and validation systems.
Investigate anomalies and inconsistencies within robotic operational datasets.
Develop testing frameworks that validate data throughout ingestion and transformation processes.
Partner with engineering teams to identify and resolve root causes of data issues.
Create alerts and reporting mechanisms that proactively identify quality concerns.
Establish data quality standards, KPIs, and governance practices across the organization.
Monitor data reliability across customer deployments and internal systems.
Perform audits and assessments on critical datasets supporting operational workflows.
Build tooling that improves confidence in reporting, analytics, and ML outputs.
Document data lineage, validation rules, and quality control procedures.

Skills

SQL

Python

Data quality frameworks

Large-scale datasets

ETL processes

Cloud platforms

Data modeling

Automated testing

Data governance

Cross-functional collaboration

Education

Bachelor's degree in CS/IS/Engineering/Mathematics

Tools

Data observability tools

Job description

Job Description

An innovative robotics and automation company is hiring a Senior Data Quality Engineer to ensure the reliability, accuracy, and integrity of data generated across large-scale robotic fulfillment operations. The organization develops intelligent automation solutions that help customers improve warehouse productivity, order accuracy, and operational efficiency through advanced robotics and software platforms. As robotic deployments continue to grow, high-quality data has become critical to product development, operational decision‑making, customer success, and system performance.

As a Senior Data Quality Engineer, you will focus on ensuring that data produced by robotic systems is trustworthy, complete, and actionable. Unlike traditional data engineering roles that primarily concentrate on building pipelines or analytics platforms, this position centers on developing frameworks, processes, and tooling that continuously validate data quality throughout the organization's technology ecosystem.

You will collaborate closely with software engineers, robotics teams, product managers, customer operations groups, and data professionals to identify data issues before they impact customers or business operations. This role requires a strong understanding of data flows, quality assurance methodologies, automation, and operational systems. The ideal candidate enjoys investigating anomalies, creating scalable validation systems, and driving continuous improvements across enterprise data environments.

Required Skills & Experience

Strong proficiency in SQL and Python
Experience developing data quality frameworks and validation processes
Experience working with large-scale operational datasets
Knowledge of ETL and data integration processes
Experience with cloud-based data platforms
Understanding of database design and data modeling principles
Experience creating automated testing and monitoring solutions
Strong analytical and troubleshooting skills
Experience with data governance and data integrity best practices
Excellent communication and cross-functional collaboration skills

Desired Skills & Experience

5+ years of Data Engineering, Data Quality, Analytics Engineering, or related experience
Experience supporting robotics, manufacturing, logistics, or industrial systems
Familiarity with telemetry, event, or operational data sources
Experience with data observability tools
Knowledge of warehouse automation technologies
Experience with cloud-native analytics environments
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field
Experience operating in a fast-paced technology environment

What You Will Be Doing

Daily Responsibilities

100% Hands On
Design and implement automated data quality monitoring and validation systems
Investigate anomalies and inconsistencies within robotic operational datasets
Develop testing frameworks that validate data throughout ingestion and transformation processes
Partner with engineering teams to identify and resolve root causes of data issues
Create alerts and reporting mechanisms that proactively identify quality concernsEstablish data quality standards, KPIs, and governance practices across the organization
Monitor data reliability across customer deployments and internal systems
Perform audits and assessments on critical datasets supporting operational workflows
Build tooling that improves confidence in reporting, analytics, and machine learning outputs
Document data lineage, validation rules, and quality control procedures

The Offer