{"id":3767697,"url":"https://alion.io/job/caterpillar-senior-data-quality-engineer-data-quality-services","title":"Senior Data Quality Engineer, Data Quality Services","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":146,"ghost_share":0,"stale_share":0.103,"repost_share":0.021,"time_to_fill_p50_days":32,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irving, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":112710,"max":183140,"currency":"USD","period":"year","gross":null,"usd_annual":183140},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"CVAT","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"DVC","optional":true}],"status":"live","first_seen_at":"2026-11-04T20:36:25Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T08:05:46Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Career Area:\nTechnology, Digital and DataJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.\nHelp Build the Future of Caterpillar -\nAt Caterpillar, technology always has a purpose, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world-on real jobsites, at global scale.\nYou’ll build and deploy against one of the most unique data foundations-over 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.\nBe Part of What’s Next in Autonomous Construction Sites\nConstruction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible-intelligent machines operating in dynamic jobsites-into reality.\nOur connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.\nIf this work motivates you, we invite you to join our team. In these roles, you’ll work at the intersection of the physical and digital worlds. You’ll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.\nApply today to build the new era of construction autonomy at Caterpillar.\nJob Summary\nWe are seeking a Senior Data Quality Engineer to define, measure, and automate the quality of the training and validation data used for robotics, autonomy, computer vision, and Vision-Language-Action (VLA) systems with a scrum team.\nThis role combines data engineering, machine learning, and quality engineering to build the quality gates, metrics, and validation tooling that ensure every dataset-from raw camera and LiDAR captures to auto-labeled annotations and captions-meets the accuracy, consistency, and coverage standards required to train and evaluate Caterpillar autonomy models. You will partner closely with AI Automation, Data Engineering, perception/ML model teams, and external annotation providers, leveraging technologies such as NVIDIA Cosmos Curator and Cosmos Reason alongside Caterpillar-specific AI models to scale AI-driven quality assurance.\nThis is a hands-on technical role focused on making data quality measurable, automated, and continuously improving at production scale.\nWhat You'll Do\nDefine data quality standards, acceptance criteria, and annotation guidelines for sensor data, labels, and captions used in perception and VLA datasets.\nBuild automated quality gates that validate data at every stage, from ingestion and labeling through dataset publication.\nDevelop and deploy AI-driven quality checks such as label-noise detection, consensus scoring, and caption verification using vision-language models (e.g., Cosmos Reason).\nDefine and track dataset quality KPIs such as label accuracy, inter-annotator agreement, and rework rate, and share results through dashboards and reports.\nAudit internal and vendor annotations using gold datasets and statistical sampling, and manage annotation providers through scorecards, feedback loops, and SLAs.\nAnalyze dataset coverage and gaps, trace model failures back to data issues, and ensure dataset lineage, versioning, and governance.\nWhat Makes This Role Unique\nMost data quality practices were built for structured business data-not for multimodal sensor data captured from heavy equipment operating on dynamic jobsites.\nIn this role, you'll define what \"good data\" means for Caterpillar's autonomy and Physical AI programs. You'll work across computer vision, LiDAR, multimodal AI, and Vision-Language-Action datasets, directly influencing model performance and machine safety by ensuring the data that trains intelligent machines is accurate, consistent, and representative of real-world operating conditions.\nBasic Qualifications\nBachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.\n3+ years of experience developing production-grade software using Python and SQL, modern software engineering practices, and containerization platforms (e.g. Docker, Kubernetes).\n3+ years of experience designing and implementing data pipelines, APIs, and distributed data processing systems.\n3+ years of experience building data validation frameworks and automated quality checks for large-scale datasets.\nStrong understanding of statistics and sampling methods used to audit and measure data quality.\n3+ years of experience managing Camera and LiDAR sensor datasets for autonomy or computer vision, including ground truth generation and annotation quality assurance.\nDemonstrated ability to define annotation guidelines, identify labeling defects, and drive measurable improvements in dataset accuracy.\n3+ years of experience using annotation and dataset management tools (e.g. Labelbox, CVAT, FiftyOne) and machine learning frameworks (e.g. PyTorch, MLflow).\nStrong problem-solving and communication skills, with the ability to work across technical teams and external vendors.\nPreferred Qualifications\nExperience with computer vision, robotics, autonomy, Physical AI, or multimodal AI systems.\nExperience with AI-assisted quality techniques such as label-noise detection, active learning, or consensus-based review.\nExperience evaluating vision-language model outputs or working with Vision-Language-Action (VLA) datasets.\nExperience with NVIDIA Cosmos Curator, Cosmos Reason, or similar AI data curation platforms.\nExperience with data lineage, dataset versioning, and workflow orchestration tools (e.g. DVC, Airflow).\nExperience with cloud platforms, MLOps, and machine learning deployment pipelines.\nExperience managing vendor quality programs, including scorecards and SLAs.\nAdditional Details:\nThis position requires the candidate to work full-time at the Irving, TX office (Dallas)\nDomestic relocation assistance is available for this position.\nVisa sponsorship is available with this position.\nSummary Pay Range:\n$112,710.00 - $183,140.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-relatedknowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.\nBenefits:\nSubject to plan eligibility, terms, and guidelines. This is a summary list of benefits.\nMedical, dental, and vision benefits*\n\nPaid time off plan (Vacation, Holidays, Volunteer, etc.)*\n\n401(k) savings plans*\n\nHealth Savings Account (HSA)*\n\nFlexible Spending Accounts (FSAs)*\n\nHealth Lifestyle Programs*\n\nEmployee Assistance Program*\n\nVoluntary Benefits and Employee Discounts*\n\nCareer Development*\n\nIncentive bonus*\n\nDisability benefits\n\nLife Insurance\n\nParental leave\n\nAdoption benefits\n\nTuition Reimbursement\n\n* These benefits also apply to part-time employees\nPosting Dates:\nAny offer of employment is conditioned upon the successful completion of a drug screen.\nCaterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.\nNot ready to apply? 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