223 bigquery data engineer jobs at 144 companies in Burbank, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
San Francisco or New York City or Austin or Toronto or São Paulo or United States or Canada
$150k-$205k/yrRemoteFull Time
Sardine: Real-time AI platform for fraud prevention and compliance.
5+ YOE5+ years data engineering experience; expertise in Python and SQL; experience with modern data stack (BigQuery, dbt, Fivetran, Airflow); data integrations (Salesforce, HubSpot, Amplitude, Sigma, Clay); AWS/GCP, Docker, Kubernetes, CI/CD; strong communication.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
2+ YOEDesign and operate large-scale data pipelines on GCP using Spark, Airflow, BigQuery; optimize cloud cost; build automation and AI-driven engineering tools; 2+ years data engineering experience.
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
7+ YOE7+ years data engineering experience with deep data modeling and warehouse/lakehouse design; advanced SQL; Python; experience with Snowflake/Databricks/BigQuery; orchestration tools; data governance.
San Francisco or Denver or New York City or Culver City
$155k-$186k/yrHybridFull Time
FastlyNYSE: FSLY: Provides edge cloud platform for content delivery and cybersecurity.
5+ YOE5+ years in BI/analytics; experience with cloud data warehouses (BigQuery/GCP), dbt, data visualization tools, and advanced SQL; stakeholder collaboration and data governance experience.
Google Cloud Platform (GCP), BigQuery, dbt, Looker, Tableau, SQL
Whop: Online marketplace for digital goods and memberships.
3+ YOE3+ years in data/analytics engineering; deep SQL and Python; experience with dbt and BigQuery (Snowflake/Redshift acceptable); GitHub and CI/CD practices; defining financial metrics and resolving multi-system data inconsistencies.
Verkada: Sells integrated AI-powered cloud physical security hardware and software.
5+ YOE5+ years data engineering; Python and SQL; cloud warehouses (BigQuery, Snowflake, Databricks); DBT data modeling; data lakes (Iceberg/Delta/Hudi); automated pipelines (Airflow, Dagster, Fivetran, Airbyte); on-site, five days/week.
BigQuery, Snowflake, Databricks, DBT, Apache Iceberg, Delta Lake, Apache Hudi, Airflow, Dagster, Fivetran, Airbyte, Great Expectations, Monte Carlo, BigEye
Austin or San Francisco or New York City or Arlington
$133k-$185k/yrHybridFull Time
BetterUp: Digital platform for professional coaching and employee mental fitness.
3+ YOE3+ years data engineering or applied AI experience; strong Python and SQL; experience with cloud warehouses (Snowflake/BigQuery/Redshift), dbt, data pipelines, model deployment, and GTM tools (Salesforce, HubSpot); Bachelor's degree or equivalent.
GC AI: AI-powered legal platform for in-house legal teams.
5+ YOE5+ years data engineering experience; strong SQL and BigQuery skills; proficiency in Python; experience building ETL/ELT pipelines and working in GCP; ability to design clean, performant data models.
Thunes: Global infrastructure for real-time cross-border payments and collections.
Proven experience building and operating production data pipelines and warehouses; expertise in SQL and Python; experience with BigQuery/S3/Athena and workflow orchestration; strong communication with finance and compliance.
Bedrock Robotics: Automates heavy construction machinery with AI retrofit kits.
5+ YOE5+ years data engineering experience in large-scale data lake/warehouse environments; strong SQL and distributed query engine experience; pipeline orchestration (Airflow/Prefect) and Spark/Databricks experience; data quality and observability expertise.
Lindy: AI-powered platform for building and managing autonomous virtual assistants.
2+ YOE2+ years building production data pipelines, expert SQL, Snowflake/BigQuery experience, Python, ETL (Fivetran/Airbyte) and dbt, BI tools (Tableau/Looker), experience with large unstructured datasets.
OpenAI: Develops artificial intelligence models and generative AI software services.
5+ YOE5+ years building production data pipelines; strong SQL; Python; experience with Snowflake/BigQuery/Redshift and Airflow/Dagster; ETL/ELT design; data quality, lineage, and observability experience.
Gridmatic: AI-powered platform for optimizing energy trading and battery storage.
Experience building large-scale production data pipelines, designing storage and schema for timeseries and warehouse data, proficiency with DBT and data processing tools, strong software engineering skills, and startup experience.
Mill: Provides smart kitchen bins that recycle food waste.
5+ YOE5+ years operating production data engineering systems; Python, dbt/Airflow/Fivetran experience; strong SQL and cloud data warehouse skills; recommendation systems and CI/CD for data pipelines; collaborative communication.
Windfall: Provides consumer financial data and AI-driven go-to-market insights.
4+ YOE4-8 years in data engineering; experience with Apache Beam/Spark/Flink or MapReduce; JVM language proficiency; distributed data processing; experience at a small company; strong communication and ownership.
Alamar Biosciences: Develops high-sensitivity proteomics platforms for early disease detection.
3+ YOE3+ years in data/AI engineering; strong Python and SQL; building ETL/ELT pipelines, lakehouse workflows, and governance; experience with dbt/Airflow/Dagster, Databricks/Snowflake/BigQuery, LLM APIs, RAG, and REST APIs.
CrewAI: Platform for orchestrating collaborative multi-agent AI systems.
Experienced data engineer to own data platform, build pipelines, define trusted metrics, improve instrumentation, and make data self-serve for product and go-to-market teams.
Hilbert: AI-powered demand intelligence and growth analytics for consumer brands.
Experienced in ClickHouse, Snowflake/BigQuery, SQL and Python; building data pipelines, semantic layers, and warehouse-native or managed deployments for enterprise customers.