data-warehousing jobs in San Diego

Principal Engineer Data will develop and execute a data architecture strategy aligned with business goals, building and maintaining data models, metadata standards, and integration frameworks. The role requires leading technical assessments for digitizing core business functions, working with stakeholders to translate requirements into architectural solutions, and ensuring data storage, retrieval, and governance meet enterprise standards.…See more The candidate must have a STEM degree with at least 5 years of experience (or Master's with 3 years), strong expertise in SQL Server, data visualization tools (Tableau, Power BI), and data architecture principles including data integration, governance, and security protocols.

Lead large-scale enterprise data transformation programs at Qualcomm, managing multi-year initiatives across data modernization, cloud migration, and analytics platforms. Coordinate work across distributed data engineering, architecture, governance, security, and analytics teams while managing multi-million-dollar budgets and vendor relationships.…See more Drive adoption of modern data architectures (data lakehouse, data mesh, medallion patterns) and cloud platforms (Databricks, AWS, Azure, GCP), and establish federated data governance frameworks. Influence executives and technical stakeholders to deliver measurable business outcomes while handling legacy system retirement and enterprise data integration from CRM, ERP, HCM, and supply-chain systems.

Staff-level data analyst leading the modernization of financial and operational data platforms across Intuit's Dev360 team. Serves as the primary liaison between business stakeholders and engineering, translating strategy into data requirements while surfacing technical constraints and trade-offs.…See more Owns data integrity standards, designs scalable self-service analytics capabilities, and mentors a growing team of analysts while setting delivery and technical standards.

A Forward Deployed Data Engineer will lead discovery workshops with North American fleet management customers to understand their business problems, then translate those into scoped data, analytics, and AI solutions. You'll own engagements end-to-end—from scoping and estimation through prototype development and delivery—working closely with Sales, Product, and Engineering.…See more The role requires 5+ years of hands-on data engineering or analytics engineering, strong SQL and Python skills, depth with Snowflake or equivalent cloud data warehouse, dbt or similar transformation frameworks, and proven ability to present technical findings to executive stakeholders.

Principal-level Business Intelligence Architect responsible for designing and leading enterprise data architecture, ETL pipelines, and reporting infrastructure for a healthcare organization. The role requires 8+ years of BI/data management experience with at least 4 years leading individual contributors and managers, deep expertise in SQL, relational and NoSQL databases, and cloud/streaming data architectures.…See more You will mentor technical teams, communicate complex data solutions to executive stakeholders, ensure HIPAA compliance, and drive innovation in data strategy across a matrix organization.

Lead discovery workshops with North American fleet management customers to translate business problems into scoped data, analytics, and AI solutions. Own customer engagements end-to-end—from discovery through delivery—including scoping, estimates, and risk management.…See more Build and prototype applied AI use cases, present findings to technical and executive stakeholders, and work closely with Sales, Product, and Engineering teams. Requires 5+ years of hands-on data engineering or analytics engineering experience, strong SQL proficiency, cloud data warehouse expertise (Snowflake preferred), Python or equivalent programming language, dbt or transformation framework experience, and demonstrated comfort presenting to executive audiences.

This role requires a Teamcenter Integration Architect to design and implement large-scale PLM integrations between Siemens Teamcenter and enterprise systems (ERP, MES, CAD/ECAD, data warehouses, supplier portals). The candidate must have hands-on expertise in Teamcenter integration frameworks (T4EA, T4S, T4O, Gateway, ITK, SOA), integration protocols (REST, SOAP, WebServices), and experience connecting Teamcenter to Oracle EBS/SAP, CAD tools like Creo/Cadence, and downstream engineering systems.…See more The position requires deep knowledge of data flows for parts, BOMs, suppliers, manufacturers, changes, and documents.

Senior IT Program Manager supporting the execution of moderately complex IT initiatives within a pharmaceutical company's Value Management Office. Leads or supports cross-functional technology projects from initiation through stabilization, with responsibility for scope, schedule, budget, quality, compliance, and business outcomes.…See more Requires 4+ years of IT experience in a pharma/biotech environment with FDA regulation exposure and hands-on knowledge of validated applications, web technologies, databases, and Microsoft application stack (SQL Server, Oracle, Java, web standards).

Entry-level database administrator role focused on SQL development, ETL, and data management. Responsibilities include writing and optimizing SQL queries, designing and maintaining relational databases, performing data extraction and transformation, troubleshooting database issues, and supporting data-driven business decisions.…See more The role requires SQL proficiency, familiarity with relational databases (SQL Server, Oracle, MySQL, PostgreSQL), understanding of database concepts and normalization, and basic data analysis skills.

Design and review data engineering solution architectures on Databricks and AWS, aligning technical decisions with business goals. Lead enterprise-scale data migration and modernization programs, providing architectural guidance and technical leadership across client and internal teams.…See more Demonstrate hands-on expertise in PySpark, SQL, data warehousing, CI/CD pipelines, and data governance frameworks. Mentor team members and foster a knowledge-sharing culture while driving smooth project execution and transition.

The role seeks a Databricks & AWS Data Engineering Architect to lead enterprise-scale data migration and modernization programs for a banking client. The architect will design and implement data solutions using Databricks, PySpark, SQL, and AWS, with responsibility for CI/CD pipelines, data governance frameworks, and data quality monitoring.…See more Required skills include hands-on expertise in data engineering, data warehousing, and data architecture, along with leadership capabilities to manage stakeholders and drive engineering best practices across the organization.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Senior architect responsible for designing and leading enterprise-scale data platforms on Databricks and AWS, including cloud modernization, data migration, and lakehouse architecture. Requires deep expertise in PySpark, advanced SQL, Delta Lake, and data warehousing patterns, with accountability for technical strategy, solution design, and mentoring engineering teams.…See more Will drive CI/CD practices, data governance frameworks, data quality standards, and technical decision-making across complex data infrastructure initiatives. Expected to engage senior stakeholders, manage client relationships, and champion AI-powered engineering tools for productivity and automation.

Lead three technical teams across data warehousing, Dynamics platforms, and web applications in a Microsoft-centric enterprise environment. Provide architectural guidance, code review oversight, and cybersecurity/compliance direction while driving adoption of AI-assisted development tools and agentic processes.…See more Mentor teams through modernization initiatives and transformative AI adoption, balancing priorities across a fast-paced, dynamic organization. Requires 2+ years of recent experience managing enterprise software developers in Microsoft environments (Entra, Azure, Power Platform, Foundry, .NET Core) designing scalable, secure architecture.

Design and review data engineering solution architectures on AWS and Databricks, aligning technical decisions with business goals and market trends. Lead enterprise-scale data migration and modernization programs, mentoring teams and driving initiatives from proposal through delivery.…See more Provide hands-on expertise in Databricks, PySpark, SQL, and AWS, with strong proficiency in CI/CD pipelines, data governance, and engineering best practices. Engage with clients and internal stakeholders to build productive relationships and ensure successful project execution.

This role is a Data Engineering Architect responsible for designing and reviewing enterprise-scale data architectures on Databricks and AWS, leading migration and modernization programs, and resolving complex technical challenges during build and deployment phases. The architect will provide strategic insights to development teams and clients, establish data governance frameworks, monitor system performance, and contribute to proposals and RFPs.…See more Required expertise includes hands-on proficiency in Databricks, PySpark, SQL, AWS, CI/CD pipelines, and data architecture best practices, with proven experience in enterprise-scale programs and strong technical leadership and stakeholder management skills.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Implement IoT integrations, digital lab twins, telemetry systems, and maintain integrations across automation schedulers, LIMS, and data platforms using DevOps best practices and cloud solutions. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience (or equivalent M.S./B.S. with 10+/13+ years respectively), strong proficiency in Python, SQL, and JavaScript, and experience with lab digitalization and autonomous systems.

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.

Enterprise Data & Analytics Architect responsible for designing and developing SQL Server databases, data warehouses, and ETL pipelines using SSIS/Azure Data Factory. The role requires 8–10 years of experience in OLAP/OLTP environments, expert SQL Server knowledge, and proficiency in enterprise reporting (SSRS, Power BI).…See more Candidates will oversee data engineering, BI development, and data science initiatives; mentor developers; and maintain compliance with company policies and federal regulations.

RIVO is seeking a Senior Data Platform Engineer to architect and build a modern enterprise data platform supporting analytics, machine learning, and near real-time processing. You will design the foundational data warehouse or lakehouse architecture, modernize legacy ETL processes, implement CDC-based ingestion and low-latency pipelines, and establish data quality and governance frameworks.…See more This role requires 8+ years of data warehousing or platform engineering experience, expertise in cloud platforms (Snowflake, Databricks, Azure), SQL and Python proficiency, and the ability to support both analytics and data science workloads at enterprise scale.

Senior Enterprise Data Engineer role requiring 5+ years designing and developing OLTP/OLAP databases, ETL/ELT pipelines using SSIS, Azure Data Factory, or Python, and enterprise reporting solutions with Power BI and SSRS. Must have advanced SQL Server expertise, strong data warehousing and dimensional modeling knowledge, and experience in Agile environments.…See more Preferred qualifications include Azure data platforms (Synapse, Data Lake, Fabric), Databricks, Apache Spark, Azure DevOps, and CI/CD practices.

Senior Business Intelligence Analyst responsible for responding to business inquiries and delivering data-driven insights to stakeholders. The role involves developing and maintaining advanced dashboards using tools like Tableau and Domo, manipulating data with SQL/Python/R, and collaborating across departments to translate business requirements into analytical solutions.…See more Requires 4+ years of BI experience, expertise in SQL, proficiency with cloud data platforms (Snowflake, AWS), and strong communication skills to tell data stories and drive business decisions.

Clinical Data Engineer II/III will develop and maintain data transformation models across clinical schemas, ensuring data quality, reliability, and regulatory compliance in a healthcare environment. The role requires designing data contracts, building reconciliation logic to unify multi-source data, and owning clinical result data end-to-end from ingestion through monitoring.…See more You will partner with clinical operations, regulatory, and research teams to resolve data issues, maintain dashboards subject to formal validation, and serve as a subject-matter expert on the warehouse clinical data. This position demands 5+ years of hands-on data engineering with production transformation frameworks (dbt preferred), deep SQL expertise, and demonstrated experience in regulated environments.

As a Sr. Technical Product Manager for Data at Petco, you will own the vision, roadmap, and delivery of enterprise data products that power analytics, personalization, and AI-driven decision-making across the organization.…See more You'll translate business needs into technical requirements, define data-quality standards and governance practices, and partner with data engineers, architects, analysts, and business stakeholders to build trusted, reusable data products. The role requires 5+ years of product management experience with strong technical depth in data warehousing, ETL/ELT, SQL, and data modeling, plus expertise managing Agile backlogs and cross-functional delivery on modern cloud platforms like Google Cloud and BigQuery.

Sr. Technical Product Manager who will own the vision, roadmap, and delivery of enterprise data products across Petco's business domains (customer, loyalty, sales, inventory, marketing, finance).…See more The role bridges business stakeholders with data engineering, analytics, architecture, and governance teams—translating requirements into data models, defining quality standards, data contracts, and metric definitions. You'll drive adoption of governed data products built on Google Cloud and BigQuery, manage cross-functional delivery, and champion data governance practices. Required: 5+ years of product management with technical product ownership or data product management experience, strong SQL and data warehousing expertise, and proficiency with ETL/ELT, APIs, data quality, and BI tools.