Data Quality Assurance Specialist Jobs

About the Role We are seeking an experienced Senior Data Engineer to join our growing Data & Analytics team. This role will be responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support our organization’s data needs. Specific Responsibilities: Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities Design and implement complex data models on Azure Synapse Analytics to support data warehousing Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management. Manage and optimize Apache Spark pools for high-performance data processing tasks. Develop and maintain ETL processes and data pipelines using Python scripting. Ensure data quality and integrity across all platforms and systems. Collaborate with cross-functional teams to translate business needs into technical specifications. Stay current with industry trends and advancements in Azure data services. What you'll need: Bachelor’s degree in Computer Science, Engineering, or related field Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools. Expertise in Python scripting and other programming languages such as SQL and Java Senior level knowledge of data modeling, processes, and data warehouse concepts Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholder

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable) Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability Build robust systems for data quality assurance and validation at scale Collaborate with research teams to implement novel data processing architectures Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets You may be a good fit if you have: 5+ YOE outside of internships Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems Hands-on experience with distributed computing frameworks, particularly Apache Spark Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment Advanced degree in Computer Science or related field Experience with language model training infrastructure Background in Data Infrastructure, MLOps, or ML infrastructure Stro

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: You will lead a team of AI Tutors (full-time employees and contractors) responsible for delivering high-quality training data and evaluations that power SpaceXSI's models. You will set the standard for data quality on your projects, review work in the domain, ensure the accuracy and consistency of the data produced, and build operational excellence at the team level. This is a hands-on leadership role — you will both execute labeling/review work and continuously improve processes as we scale. RESPONSIBILITIES: Own end-to-end quality and delivery for assigned Human Data projects — personally reviewing work in the domain, ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale. Lead, coach, and performance-manage a team of AI Tutors, including conducting regular performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement. Oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices. Ensure strict guideline adherence, taxonomy management, and quality assurance processes. Drive efficiency by identifying and r

Role Summary: GHX India seeks a trustworthy, highly motivated and detail-oriented individual. The Credentialing Analyst will be primarily responsible for analyzing and processing healthcare documents submitted by vendor representatives for registration. Responsibilities: Reports to Manager/Supervisor of Product Operations Maintain the appropriate quality score when processing documents Ability to process the appropriate number of documents per hour Ability to turn documents around in the appropriate turnaround time Process multiple document queues Effectively balance multiple tasks and roles Other responsibilities, as assigned. Skills & Abilities: Efficiency, organization, and effective time management Strong written skills Attention to detail Education and Experience- A bachelor’s degree is required Healthcare/Laboratory/Pathology experience preferred Experience in Data entry/ Document verification favored Experience in back-office support preferred Minimum 1+ years of experience in Data Quality Assurance, Data/Document Management, Healthcare domain, or other medical background. GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions. It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce

JOB TITLE User Access Certification Analyst A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting with discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU'LL DO Develop and scale the firm’s user access certification program, driving measurable improvements in access hygiene and enforcement of least privilege Support execution of periodic access certifications across enterprise systems, assisting with multiple reviews at different stages simultaneously Analyze and validate large access-control datasets to identify excessive, inappropriate, privileged, or high-risk access Perform data quality assurance and reconciliation to ensure completeness, accuracy, and consistency of access and entitlement data before and during certifications Track certification progress and remediation status using metrics and dashboards, and deliver data-driven insights to accelerate closure Investigate data discrepancies and anomalies, coordinate with certifiers, application owners, technical subject matter experts, and development teams to drive timely resolution Validate remediation and deprovisioning outcomes through targeted data verification and reconciliation activities Produce clear, audit-ready reporting and artifacts on certification results, access risk, and remediation outcomes for internal and external audits Partner with system and application owners to interpret access data and support decisions that reduce access risk and uphold least privilege principles Innovate certification lifecycle processes by applying automation, reporting i

Citibank, N.A. seeks a Project Management Lead for its Irving, Texas location. Duties: Manage end-to-end delivery of wholesale credit risk and climate risk initiatives, overseeing projects lifecycle from requirements intake through execution and implementation. Define and monitor project milestones, dependencies to ensure timely project delivery and resolution of emerging risks or constraints. Partner with model developers in order to streamline, consolidate and redevelop wholesale credit risk models. Support model validation, audit readiness and project success by maintaining comprehensive documentation, remediation trackers, and evidence repositories. Coordinate with technology partners to optimize model integration, leading efforts to embed Comprehensive Capital Analysis and Review (CCAR) and International Financial Reporting Standard 9 (IFRS9) models into the library system. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Master’s degree, or foreign equivalent, in Finance, Business Analytics, or related field and 4 years of experience as a Project Manager, Financial Analyst, Accountant, or related position involving treasury and balance-sheet risk assessment, wholesale credit risk management and financial audit management. 4 years of experience must include: Risk management processes and frameworks in order to measure financial exposures under stress scenarios in model development; Understanding of control framework and regulatory expectations for model documentation, validation and periodic review; Project management including project structuring, development of timeline, implementation phases planning, resources allocation, identification of dependencies and bottlenecks, and escalation of issues; Data analysis and data quality assurance, including cleanliness of the data, completeness and accuracy, while ad

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: The Medicaid Enrollment Business Information Management (BIM) team is seeking a highly skilled technical professional to lead the development, maintenance, and optimization of data and reporting solutions. The successful candidate will bring intermediate to advanced SQL expertise and the demonstrated ability to independently build and administer databases, manage high-volume enrollment data, and perform complex data validation, extraction, transformation, and troubleshooting. Strong proficiency in Power BI and Quickbase is preferred, supported by a solid command of relational data structures, quality assurance, testing, audit controls, and process improvement. This role demands a solutions-oriented professional who can convert complex Medicaid business requirements into scalable, accurate, and sustainable technical solutions; proactively identify and resolve data-quality risks; and deliver clear, actionable insights to business stakeholders. A Day in the Life: As a member of the Medicaid Enrollment Business Information Management team, you will spend your day transforming complex enrollment data into accurate reporting and actionable insights. You will write and troubleshoot advanced SQL queries, build and maintain databases, validate high-volume data, and extract or transform information for reporting solutions. You will investigate data-quality issues, support testi

About the Team The Growth Platforms team builds the systems and operating foundations that help OpenAI grow responsibly. We partner across the product portfolio to connect customer signals, identity and consent, campaign workflows, measurement, and product experiences into an AI-enabled growth engine. Our work helps teams launch, learn, and scale with a high bar for data quality, privacy, reliability, and customer trust. About the Role We’re looking for an experienced marketing technology and operations leader to drive cross-functional work at the intersection of growth, measurement, data, and automation. Your mission will be to turn fragmented tools, signals, and workflows into reliable, measurable, AI-enabled capabilities that teams can use safely at scale. You’ll work across Growth, Marketing Operations, Product, Engineering, Data Engineering, Data Science, Security, Privacy, Legal, and Revenue Operations, as well as external advertising platforms, measurement providers, and implementation partners. You’ll translate business requirements and privacy constraints into data contracts, integration designs, rollout plans, and reliable first-party data systems. This is a hands-on, high-impact role for someone who brings structure to ambiguity and moves from event schemas, APIs, and data quality assurance to operating cadences, partner enablement, and executive updates. This role is based in San Francisco or New York City with a hybrid office expectation. In this role, you will: Own the operating model for Growth’s marketing technology stack across identity, consent, audiences, activation, measurement, and experimentation. Own and operate the complete paid-media tracking and measurement system, including website pixels, server-to-server conversion events, mobile measurement integrations, identity and consent controls, attribution methods, and timely signal delivery to advertising platforms. Design and implement event schemas, data mappings, APIs, and integrations; valid

About the Team OpenAI’s People team supports a complex, rapidly growing organization of researchers, engineers, and business teams. The Compensation function ensures accuracy, scalability, and operational excellence across all compensation tools, systems, and data flows. About the Role We’re hiring a Compensation Operations Analyst to build and run the systems, tools, and processes that power compensation at OpenAI. This role is deeply operational and technical: you will configure HRIS modules, manage compensation tools end-to-end, maintain pristine data quality, and ensure compensation cycles run flawlessly. You’ll partner closely with People Systems, Total Rewards, Finance, and vendors to keep our compensation infrastructure accurate, scalable, and audit-ready. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own configuration and day-to-day operations of compensation tools and HRIS compensation modules. Manage annual and off-cycle compensation processes, ensuring data integrity, testing, quality assurance, and on-time execution. Build and maintain compensation datasets, dashboards, audits, and data flows across systems. Lead compensation vendor relationships, including implementation, troubleshooting, and data submissions. Diagnose and resolve system issues, identify root causes, and drive process and tooling improvements. Partner with People Systems and Engineering to enhance architecture, workflows, and automation. Ensure high data accuracy across compensation systems and proactively identify gaps, risks, or anomalies. Translate technical or complex compensation system issues into clear guidance for stakeholders. You might thrive in this role if you: Have 5+ years of experience in compensation operations, HR operations/systems, or total rewards tooling in high-growth or technology environments. Have strong HRIS configuration experience,

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you’ll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers. Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement. Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs. Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale. Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, in

The Quality Assurance Engineer II creates and maintains tests to ensure software meets user and product needs. The role develops project test plans, defines and tracks quality assurance metrics, analyses software-quality data, documents defects, and supports issue resolution and continuous process improvement. The role also adopts AI tools and integrates automated testing within CI/CD pipelines to improve test design, automation, defect analysis, requirements review, release quality and overall QA productivity. Key Responsibilities • Work closely with development and product teams to ensure product quality in a fast-paced Agile environment. • Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes. • Write and maintain automated tests for web applications, REST APIs and data-validation workflows. • Integrate and maintain automated test suites within CI/CD pipelines to support continuous testing, quality gates and release validation throughout the software delivery lifecycle. • Execute manual functional, regression, integration and exploratory testing where automation is not yet appropriate. • Validate multi-tiered, data-driven applications processing large volumes of records. • Define and track quality metrics including defect counts, severity, test execution, coverage and release status. • Identify, document, report, track and verify issues through resolution. • Perform root-cause analysis and collaborate on preventive quality improvements. • Support product deployments, release validation and QA sign-off. • Partner with support t

Work Flexibility: Onsite What You Will Do Lead investigations of non-conformances and implement corrective and preventive actions to support timely issue resolution. Collaborate with Engineering, Production, and cross-functional teams to ensure products and processes meet quality requirements. Support internal and external audits by preparing documentation, participating in audit activities, and addressing audit observations. Escalate quality concerns to Quality Assurance and Engineering leadership and support resolution activities. Manage containment activities for non-conforming product, including identification, segregation, documentation, and reconciliation. Monitor, analyze, and trend quality data to identify risks, recurring issues, and improvement opportunities. Ensure compliance with the Quality Management System and applicable regulatory requirements. Apply statistical analysis and risk management tools, including Failure Mode and Effects Analysis (FMEA), to support decision-making and continuous improvement initiatives. What You Will Need Required Qualifications Bachelor’s degree in Engineering or a related technical field. Minimum 3 years of experience in Quality Engineering. Working knowledge of 21 CFR Part 820, ISO 13485, and the Medical Device Single Audit Program (MDSAP). Advanced English proficiency, written and verbal. Preferred Qualifications Experience supporting internal and external quality audits. Experience conducting investigations, risk assessments, and corrective and preventive action activities. Experience working in a regulated manufacturing environment. Experience using statistical analysis and quality risk management tools. <p style="text-

About Us Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. Your Role As a Trust & Safety Quality Analyst , you will be responsible for the end-to-end quality assurance (QA) framework within the Trust & Safety department. You will evaluate the work of Fraud Investigators to ensure they meet our rigorous standards for accuracy, regulatory compliance, and customer experience. Responsibilities QA Framework Design: Develop and refine the Quality Assurance scorecard and evaluation methodology for both Consumer and Merchant fraud investigations. Operational Calibration: Lead weekly "Deep-Dive" sessions with Team Leads and Investigators to align on decision-making logic. You are responsible for ensuring there is zero "quality variance" across different shifts and locations. Feedback & Coaching: Deliver constructive, data-driven feedback to Investigators and Team Leads. You will facilitate "calibration sessions" to ensure all team members are aligned on what "high quality" looks like. Root Cause Analysis: When a fraud loss occurs, you lead the "Operational Post-Mortem." You identify if the failure was a human error, a training gap, or a tool malfunction, and you drive the immediate fix. Process & Product Improvement: Partner with Product and Engineering teams to advocate for tool enhancements. Use quality data to suggest product features that reduce manual work, improve detection accuracy, and automate repetitive verification steps. High-Risk Decision Support: Provide guidance on complex, high-stakes inves

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing We’re seeking a detail-oriented and results-driven Quality Engineer to support quality assurance and continuous improvement initiatives across Acushnet’s Custom Ball and Packaging Operations. In this role, you will be responsible for driving quality improvements, reducing process variation, and ensuring products consistently meet customer expectations and internal quality standards. You will partner closely with manufacturing, operations, engineering, and cross-functional teams to identify opportunities to reduce defects, customer returns, quality exceptions, logo overruns, and make-ups while supporting the achievement of established quality performance goals. You will analyze and report quality data through quality management systems and Statistical Process Control (SPC) methodologies, providing insights that drive operational improvements and informed decision-making. As an active participant in quality-focused teams, including Quality Steering Committee activities and Quality Initiative Program projects, you will help lead efforts focused on process optimization, cost reduction, and product quality enhancement. Additionally, you will support continuous improvement initiatives by conducting root cause analyses, implementing corrective actions, and driving sustainable process improvements across Custom and Packaging operations. The Quality Engineer will also assist with Change Notice reviews,

About the Role: Tubi is seeking a highly skilled and experienced Senior QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office three days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Help drive a shift-left testing approach by engaging early in the software development lifecycle, partnering with product managers, engineers, and data scientists to identify quality risks, define test strategies, and ensure testability during requirements and design phases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or reco