bigquery jobs in San Diego

As a Sr Consultant in GCP Cloud Analytics, you will design and implement end-to-end cloud analytics architectures on Google Cloud Platform, supporting clients through full lifecycle data solutions including ingestion, transformation, governance, and analytics enablement. You'll develop optimized cloud-based data solutions using structured and unstructured sources, lead portions of complex technology engagements, and coordinate delivery across geographically distributed teams.…See more The role requires 5+ years of technology consulting or industry experience with GCP, 1+ full lifecycle GCP implementation, 2+ years of SQL and Python, and the ability to lead workstreams with multi-location resources.

Sr Staff Software Engineer leading architecture and design across ServiceNow's data fabric platform, including Trino connectors, Kafka streaming, ETL pipelines, and data quality. Requires 12+ years building and operating large-scale distributed systems, deep expertise in query processing, data integration, CDC, streaming pipelines, and Kubernetes-based multi-tenant SaaS.…See more Responsibilities include writing production code, leading cross-team technical reviews, defining performance and scalability strategy, and serving as senior escalation point for complex production issues. Must demonstrate strong hands-on coding in Java, Go, C++, or Scala, with proven track record of leading architecture across multiple teams and influencing without authority.

Designs enterprise data fabric solutions that provide unified, intelligent access to distributed data across on-premises and multi-cloud environments, integrating data virtualization, active metadata, knowledge graphs, cataloging, and automated integration. Establishes reference architectures, integration patterns, and governance that scale across enterprises, enabling self-service data consumption and real-time delivery.…See more Applies modern data paradigms including data mesh, data products, and cloud platforms to advise clients on major data modernization initiatives. Requires minimum 10 years in data architecture, 6 years architecting data fabric solutions, 5 years with cloud data platforms, and 4 years with data integration/ETL tooling.

This role owns clinical trial data monitoring, analysis, and reporting for a venture-backed medical device startup pursuing FDA approval. You will ramp up on existing SQL, Python, TypeScript, and Terraform pipelines to build and extend clinical monitoring dashboards, define data quality checks, produce safety and efficacy analyses, and support regulatory submissions.…See more The position requires 5+ years of clinical analytics or biostatistics experience, strong SQL and cloud data warehouse skills (BigQuery or equivalent), proficiency in Python or R, and deep familiarity with clinical trial methodology, EDC systems, and regulated documentation practices.

Senior Data Engineer role owning end-to-end data architecture for a medical device startup preparing for FDA submission. Responsibilities span defining instrumentation specs and data models upstream, designing and maintaining transformation pipelines on Google Cloud and BigQuery, implementing warehouse schemas with regulatory traceability, building EDC and device data integrations, and producing CDISC-compliant datasets (SDTM/ADaM) for clinical submissions.…See more Requires 7+ years of production data systems experience, strong Python and SQL, cloud platform expertise, and the ability to translate clinical, regulatory, and operational requirements into data infrastructure.

A Technical Manager leading Google Gemini (GECX) implementations for enterprise customers, overseeing onshore and offshore delivery teams, managing client relationships with senior stakeholders, and driving business development. The role requires hands-on end-to-end delivery experience with GCP Gemini Enterprise for Customer Experience, including conversational agents (Dialogflow CX), Agent Assist, Quality AI, and contact center analytics platforms (BigQuery, Looker).…See more Responsibilities span project design, team building, best-practices advisory, quality assurance, proposal development, and staff mentoring across large-scale digital transformation engagements.

Senior Software Engineer responsible for designing and operating Affirm's analytical data platform, including secure data access patterns, CI/CD integration, self-service automation, and observability infrastructure. The role requires hands-on expertise with cloud data platforms (Snowflake, Databricks, BigQuery), containerization, API integrations, and Python/SQL backend work.…See more You'll participate in on-call coverage, triage production incidents, and help build next-generation capabilities including semantic layers and AI-native data tooling while setting high engineering standards across the platform.

Lead hands-on modernization of legacy SSIS/SSRS ETL workloads into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design and enforce standardized data frameworks (ingestion, transformation, curation, consumption), drive CI/CD and observability practices, and mentor engineers on modern data engineering patterns.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming, AI-driven observability) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, GitHub Copilot, Cursor AI) to accelerate development and reduce technical debt. Optimize Spark workloads and orchestration across Azure and GCP environments while partnering with architects, platform engineers, and business stakeholders.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

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.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices, mentor engineers in PySpark, SQL, dbt, Fivetran, and cloud-native development, and design scalable data infrastructure across GCP, Azure, and AWS cloud data warehouses (BigQuery, Snowflake, Databricks). Manage technical delivery, collaborate across enterprise teams to develop end-to-end data solutions, and align data initiatives with business goals while remaining current on industry trends.See more

Staff Data Engineer to architect and build fault-tolerant, scalable big-data platforms supporting high-velocity analytics use cases across Intuit. Responsibilities include designing data normalization, lineage, governance, and discoverability systems; collaborating with product and engineering teams on extensible platform design; and enabling analytics and GenAI/ML initiatives.…See more Requires 8+ years in product/web analytics, advanced SQL and big-data technologies (Redshift, Spark, Hive, BigQuery), Python or Java/Scala, and data pipeline orchestration experience. Role includes code reviews, CI/CD process ownership, mentorship, and translating business strategy into data-driven insights.

Lead the modernization of legacy SSIS/SSRS data systems into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design standardized frameworks for ingestion, transformation, and consumption layers while driving CI/CD, observability, and engineering best practices across Azure and GCP.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming ingestion) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, Cursor AI, GitHub Copilot) to accelerate development and reduce technical debt. Provide technical guidance to the team and translate business requirements into scalable data solutions.

Lead large-dataset analysis projects for lending clients, cleaning and analyzing millions of loan-origination records while maintaining rigorous data quality and defensible methodology. Design analyses around customer business goals, translate findings into clear ROI narratives for both technical and executive audiences, and present results directly to stakeholders.…See more Build reusable queries, templates, and documentation to improve study consistency and speed. Spend 20% of time supporting sales through discovery calls, product demos, and creating sales materials.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices while providing technical mentorship in PySpark, SQL, dbt, and Fivetran. Design and optimize scalable, reliable data infrastructure across cloud and on-premise ecosystems (AWS, GCP, Azure) using Databricks, BigQuery, and Snowflake.…See more Manage end-to-end data sourcing, processing, integration, and delivery projects to meet business objectives and predetermined success criteria. Require 10+ years managing Data Engineering teams and 7+ years working with cloud-native data platforms and advanced SQL/Python/PySpark expertise.

Lead a data engineering team responsible for building scalable data pipelines, trusted datasets, and reusable data products powering analytics, experimentation, and AI across Scribd. This role blends technical leadership with hands-on architecture guidance; you'll establish engineering standards, drive design reviews, mentor engineers, and partner cross-functionally to translate business needs into production-grade data solutions.…See more Requires 10+ years in data engineering or data platforms, 3+ years leading engineering teams, deep expertise in dimensional modeling and scalable data architectures, and strong SQL plus Python/Scala skills. You'll work with modern cloud data platforms like Databricks, Snowflake, and BigQuery, and distributed processing frameworks like Spark.

Join Sony Interactive Entertainment's D2C Data Science team to support PlayStation's payment and subscription experiences through statistical analysis, A/B testing, and machine learning. You will own analyses of payment success, subscription recovery, and payment flow optimization, building models for forecasting, segmentation, and propensity while translating complex data into actionable recommendations for product and engineering teams.…See more The role requires strong SQL and Python skills, solid statistics and experimental design knowledge, and the ability to work independently on well-scoped analyses while communicating findings clearly to both technical and non-technical stakeholders.

The Senior Data Operations Analyst owns operational and quality metrics for a robotics platform, defining, documenting, and validating data across the organization. The role requires hands-on SQL analysis in BigQuery, dashboard design in tools like Grafana and Looker, and fluency in Python for automation.…See more The candidate will partner with engineering and product to translate business questions into structured analyses, surface monitoring signals proactively, and build repeatable KPI frameworks that scale decision-making across teams.

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.

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.

The SW Test Development Engineer 2 will design, develop, and maintain automated and manual test scripts for Dexcom's CGM software and data platform systems. You'll write API and UI tests, create verification and validation test plans, analyze failures with development teams, and contribute to release improvements.…See more The role requires 2–5 years of hands-on software or test development experience with Python or OOP languages, SQL/NoSQL databases, API testing frameworks (Robot framework), and cloud platforms (GCP/AWS); additional experience with Docker, Kubernetes, Kafka, BigQuery, and Airflow is highly valued. You'll mentor junior engineers and work cross-functionally in an Agile environment.

As a SW Test Development Engineer 2 at Dexcom, you will design, develop, and maintain automated and manual test scripts for CGM software systems, including API and UI testing. You will create verification and validation test plans, traceability matrices, and track issues while collaborating with development teams on root cause analysis.…See more The role requires 2–5 years of hands-on software test development experience with Python or other OOP languages, SQL/NoSQL databases, API testing frameworks (including Robot Framework), and cloud platforms (GCP/AWS). You will also mentor junior engineers and contribute to release process improvements.

Staff Data Engineer role at Credit Karma building petabyte-scale data infrastructure and streaming platforms on GCP. You will design and operate Kafka-based streaming infrastructure, build cloud-native data pipelines using Dataflow/Beam, Flink, and Spark, and create persistence frameworks across Spanner, MySQL, and BigQuery.…See more The role requires 7+ years backend/data systems experience in JVM languages (Scala/Java), expertise with high-throughput distributed systems, and deep knowledge of streaming platforms, Apache Beam, CDC patterns, encryption, and data governance frameworks. You'll also integrate AI/ML and generative AI technologies including LLMs, RAG, semantic search, and knowledge graphs into the data platform.

Senior/Staff Data Engineer responsible for building production data pipelines, APIs, and BI tools that serve Agoda's contact center operations. Will design and maintain dashboards, metrics, and analytics platforms using SQL, Python, Java, Golang, or TypeScript; work with data warehouses like BigQuery, Snowflake, or Redshift; and orchestrate ETL/ELT workflows using tools such as Airflow or dbt.…See more At Staff level, defines roadmap for key data platforms, mentors junior engineers, and influences cross-team data architecture to scale with business growth.