Senior Data Quality Engineer - Robotics Operations - Boston

Boston, MAHybridFull Time$140k - $160kJob DescriptionAn 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 & ExperienceStrong proficiency in SQL and PythonExperience developing data quality frameworks and validation processesExperience working with large-scale operational datasetsKnowledge of ETL and data integration processesExperience with cloud-based data platformsUnderstanding of database design and data modeling principlesExperience creating automated testing and monitoring solutionsStrong analytical and troubleshooting skillsExperience with data governance and data integrity best practicesExcellent communication and cross-functional collaboration skillsDesired Skills & Experience5+ years of Data Engineering, Data Quality, Analytics Engineering, or related experienceExperience supporting robotics, manufacturing, logistics, or industrial systemsFamiliarity with telemetry, event, or operational data sourcesExperience with data observability toolsKnowledge of warehouse automation technologiesExperience with cloud-native analytics environmentsBachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related fieldExperience operating in a fast-paced technology environmentWhat You Will Be DoingDaily Responsibilities100% Hands OnDesign and implement automated data quality monitoring and validation systemsInvestigate anomalies and inconsistencies within robotic operational datasetsDevelop testing frameworks that validate data throughout ingestion and transformation processesPartner with engineering teams to identify and resolve root causes of data issuesCreate alerts and reporting mechanisms that proactively identify quality concernsEstablish data quality standards, KPIs, and governance practices across the organizationMonitor data reliability across customer deployments and internal systemsPerform audits and assessments on critical datasets supporting operational workflowsBuild tooling that improves confidence in reporting, analytics, and machine learning outputsDocument data lineage, validation rules, and quality control proceduresThe OfferBonus OR Commission eligibleYou will receive the following benefitsMedical InsuranceDental BenefitsVision BenefitsPaid Time Off (PTO)401(k) (including match, if applicable)Applicants must be currently authorized to work in the US on a full-time basis now and in the future.