data-validation jobs in San Diego

Lead end-to-end technical architecture for complex PIM, PXM, and commerce SaaS implementations, translating business requirements into scalable solution architectures. Design data models, integration patterns, and system landscapes across PIM, DAM, ERP, and commerce platforms, with hands-on technical leadership to delivery teams on configuration, custom development, and integration.…See more Own technical integration strategy using APIs, services, and event-driven patterns; act as technical authority for risk identification and architectural decisions. Stay current on Agentic Commerce and GenAI trends to automate product content supply chains and drive AEO/GEO strategies for LLM syndication.

Senior Data Engineer at Sony to design, build, and maintain scalable data pipelines, dashboards, and reporting solutions supporting PlayStation's payments, subscription, and fraud-prevention systems. Will develop AI-ready data products for analytics, automation, and machine-learning workflows in close partnership with data scientists, analysts, and global payments stakeholders.…See more Requires 7+ years in data engineering or related software/systems work, strong SQL and data modeling, proficiency in Python/Java/scripting languages, and experience operationalizing data for ML and governance. Will mentor team members, communicate technical architectures to executives, and drive platform reliability and security.

The Senior EPIC Analyst I – Professional Billing & Claims configures, maintains, and optimizes Epic Professional Billing and Claims applications to support revenue cycle operations in a healthcare environment. Responsibilities include analyzing business requirements, designing Epic workflows, performing system testing, troubleshooting billing and claims issues, and documenting system changes.…See more The role requires expertise in Epic Professional Billing configuration, revenue cycle and billing knowledge (professional fee billing, claims processing, payer rules, coding), and strong collaboration with clinical, operational, and finance teams to provide end-user support and drive process improvements.

The CRM Administrator manages day-to-day HubSpot administration across Sales Hub, Marketing Hub, and Service Hub, including user access, workflows, automations, custom properties, and data integrity. Responsibilities include maintaining dashboards and reports, supporting integrations with other business systems, providing user training and ongoing support, and identifying opportunities to optimize CRM functionality and business processes.…See more The role partners with Sales, Marketing, Customer Service, IT, and Operations to ensure accurate data, consistent system utilization, and business growth through effective CRM practices.

Staff Engineer responsible for designing, building, and operating the Forge Platform—a distributed-systems foundation serving autonomy, ML, simulation, and test teams. You will architect cloud-native backend infrastructure, establish reusable platform capabilities, define technical standards, and remain hands-on in production troubleshooting, performance analysis, and reliability improvement.…See more Required: deep expertise in production distributed systems, Go and Python, workflow orchestration, and the ability to translate complex architecture into usable interfaces across multiple downstream teams.

The Bioinformatics Test Engineer will design and execute comprehensive testing strategies for NGS (Next Generation Sequencing) data pipelines, including alignment, variant calling, and annotation workflows. Responsibilities include data validation, regression testing, automated test script development in Python, and collaboration with CI/CD pipelines and cloud-based systems.…See more The role requires deep knowledge of NGS file formats (FASTQ, BAM, VCF), proficiency in Python scripting, hands-on experience with Git and CI/CD tools, and familiarity with cloud platforms (AWS/GCP/Azure) to ensure data accuracy and pipeline reliability.

This is an early-career rotational program role supporting Consumer IT through reporting, analytics, data validation, and light technical development. The developer will perform data pulls and analysis, validate data against business rules, administer platforms like Azure DevOps and Tableau, assist with automation and workflow improvements, and support AI-enabled reporting solutions.…See more The role requires a Bachelor's degree in information systems, computer science, data analytics, or related field, with strong analytical skills, Excel proficiency, SQL knowledge preferred, and exposure to scripting languages like Python or PowerShell.

Senior QA Analyst responsible for testing strategy and execution for complex enterprise applications, primarily Oracle NetSuite and ERP systems. Will lead UAT sessions, design and execute functional and regression test cases, write SQL queries to validate data ingestion, and coordinate testing efforts across onsite and offshore teams.…See more Requires 8+ years of QA experience with deep expertise in retail ERP, financial/inventory systems, eCommerce platforms, and Agile methodologies.

This contract role involves designing and maintaining clinical data pipelines that ingest, transform, and validate healthcare datasets while ensuring HIPAA compliance and data quality. The engineer will collaborate with clinical and analytics teams to understand data requirements, implement quality checks, manage data lineage for audit purposes, and prepare optimized datasets for reporting and statistical analysis.…See more The position requires 5–10 years of data engineering or clinical data management experience, strong SQL proficiency, expertise in data quality validation, and familiarity with regulated healthcare environments.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training a multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated quality-control workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agentic patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for the Enchant multimodal transformer model. You will develop LLM-based agents that generate reproducible data pipeline code, implement automated quality-control workflows, and maintain distributed pipelines in production.…See more The role combines strong software engineering with scientific understanding of biomedical data formats and ETL design, working at the intersection of LLM automation and data engineering.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training the Enchant multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated QC workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agent patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

The Business Intelligence Analyst II supports Manufacturing Operations by developing dashboards, reports, and ad hoc analyses using BI tools like Tableau, Looker, or Power BI. The role involves writing SQL queries, applying descriptive statistics, and validating metrics to ensure accuracy while partnering with manufacturing, engineering, quality, and operations teams.…See more Responsibilities include maintaining basic to moderately complex dashboards, troubleshooting data issues, and documenting data sources and reporting logic. The analyst will lead analytics efforts, mentor junior BI team members, and contribute to continuous improvement of BI governance and data quality standards.

Develop and execute comprehensive automated test plans, test cases, and regression suites for genomics and bioinformatics software applications. Perform functional, integration, regression, and data-validation testing; validate application behavior against genomics concepts (sequencing data, variant calling, sample traceability); and collaborate with wet lab and dry lab teams to translate laboratory workflows into effective test scenarios.…See more Integrate automated tests into CI/CD pipelines, maintain test data, and partner with engineering and product teams on root-cause analysis and quality issue resolution. Requires 3+ years of QA/test automation experience, strong Python skills, hands-on knowledge of genomics fundamentals, and demonstrated experience testing LIMS platforms and life sciences software.

Senior Staff Engineer responsible for leading complex UxS/UAS systems integration across hardware, software, autonomy, and operational test environments. Will define readiness criteria and test coverage for hardware-based autonomy validation, troubleshoot unmanned systems (flight controllers, radios, sensors, ground stations), and drive reusable test practices and field guidance across engineering and operations teams.…See more Requires 10+ years hands-on experience in UxS systems integration, robotics, autonomy testing, or flight test, with strong practical knowledge of Linux, embedded systems, autopilot ecosystems (PX4, ArduPilot, MAVLink, Pixhawk), and scripting/data-analysis tools (Python, Bash, MATLAB). Must lead through influence across cross-functional teams and communicate technical findings to diverse audiences.

Bioinformatics QA role focused on designing and executing comprehensive testing, validation, and automation strategies for genomics pipelines and laboratory data platforms. Responsibilities include developing automated test suites in Python, validating NGS workflows (FASTQ, BAM, VCF), performing regression and data-validation testing, and collaborating with wet lab and dry lab teams to ensure scientific and technical correctness.…See more The role requires strong Python scripting, CI/CD pipeline experience, cloud platform familiarity (AWS/GCP/Azure), and working knowledge of genomics science fundamentals including sequencing concepts and LIMS integration.

The Business Intelligence Analyst supports the Altman Clinical and Translational Research Institute (ACTRI) by monitoring performance metrics, interpreting dashboards, and preparing reports that inform strategic planning and continuous improvement. The role includes implementing data validation and quality checks, developing performance measurement frameworks, creating technical documentation, and managing KPIs across units and programs.…See more Required expertise includes business intelligence functions, data visualization (particularly Tableau), database management, and strong analytical and communication skills. The position combines technical support (data integrity, dashboard creation, system administration) with operational support (SOPs, requirements gathering, project management).

Build and operate the data and ML infrastructure powering an AI platform for materials science, owning both sides: data pipelines that ingest and curate large-scale scientific output into training-ready formats, and model packaging, serving, monitoring, and CI/CD systems that move models safely from research to production across customer environments. You will design data ingestion and transformation workflows, implement validation and quality gates, package and version models with reproducible builds, run models through batch and online inference with safe rollout and rollback, monitor for drift and degradation, and build observability and internal tooling for engineering and science teams.…See more The role requires 6+ years shipping production software with deep expertise in data systems, ML infrastructure, containers, orchestration, and observability.

The Accounting Systems & Data Integration Analyst supports Accounting & Finance modernization initiatives at Axos Bank, serving as a technical and functional resource for Jack Henry SilverLake, Enterprise Workflow automation, and related banking platforms. Responsibilities include designing and maintaining integrations between banking systems and Finance applications, developing transaction-to-GL mappings, performing data validation and reconciliations, and troubleshooting production issues across lending, deposit, treasury, and accounting operations.…See more The role requires 10+ years of experience with Jack Henry platforms, system integrations, data interfaces, and enterprise application implementations in banking or regulated environments, with proficiency in Azure DevOps, ServiceNow, SQL, APIs, and file-based integrations. The analyst will also leverage AI tools like Copilot and Claude to accelerate requirements analysis, testing, documentation, and identify automation opportunities.

The System Test Engineer - Autonomy will coordinate data validation workflows, manage mapping datasets, and track issues for an autonomous vehicle platform. Responsibilities include executing weekly validation processes, maintaining data quality audits, monitoring metrics, and automating workflows with Python scripts.…See more The role requires 1+ years of systems testing or data operations experience, proficiency in Python, and familiarity with issue tracking tools like Jira. This position supports engineering teams in keeping autonomous driving systems ready for testing and deployment.

Business Systems Analyst responsible for architecting and maintaining custom automation tools across the Google ecosystem (Apps Script, Sheets, Docs, Forms) and integrating third-party platforms like Asana, HubSpot, Slack, and Looker Studio. You will identify and build production AI workflows using LLMs (Gemini, Claude, ChatGPT) for tasks like client feedback categorization and document parsing, while eliminating manual data entry and automating end-to-end processes such as client onboarding and reporting pipelines.…See more You'll drive adoption through documentation, training, and governance, and partner with IT on infrastructure and access controls. The role requires translating vague business problems into shippable solutions, challenging stakeholders on process redesign vs. automation, and shipping high-impact MVPs iteratively.

Join Axos Bank's Data Engineer Rotational Program as a first-career technologist gaining multi-platform exposure in data engineering. You will focus on SQL-based solutions, creating SSIS packages for data transformation, writing and maintaining SQL jobs and stored procedures, and performing data quality validation and testing.…See more Through rotations across database development, data quality, and business intelligence reporting, you'll develop enterprise-level solutions while working with cross-functional teams on Salesforce, Marketing Cloud, and omnichannel platforms. The role requires a bachelor's degree in IT, Computer Science, or related field, with basic to intermediate SQL Server knowledge.

The Configuration Management Specialist will maintain accurate configuration data within CMPRO for hardware assets, ensuring configuration items are properly identified, documented, and tracked throughout their lifecycle. Responsibilities include supporting change management processes, generating audit reports, collaborating with logistics and system administrators, managing inventory records, and resolving discrepancies.…See more The role requires 3+ years of CMPRO experience, proficiency with engineering drawings, and expertise in hardware specifications, data management, and reporting.

Data Engineer II will maintain and enhance data infrastructure, pipelines, and models supporting manufacturing analytics and operational reporting at Dexcom. The role involves writing and optimizing SQL queries, supporting ETL/ELT pipeline development in BigQuery using tools like Google Cloud Dataflow, Apache Beam, and dbt, and troubleshooting data quality issues.…See more You will partner with business stakeholders to gather requirements, document data lineage and workflows, and develop foundational GCP cloud engineering skills. The ideal candidate has a technical degree or equivalent experience and enjoys solving practical operational problems while learning modern cloud data practices.