4 bigquery data engineer jobs at 4 companies in Hawaii
1mo
Save
Mark Applied
Hide
1mo
Senior Data Engineer
United States or Florida or South Carolina or Pennsylvania or Arizona or Iowa or Indiana or Nebraska or Texas or Alabama or Georgia or North Carolina or Tennessee or Michigan or Alaska or Hawaii or Puerto Rico
$125k-$150k/yrRemoteFull Time
Akumin: Nationwide provider of outpatient diagnostic imaging and oncology services.
5+ YOEBachelor's in data-related field, 5+ years in data management/ETL/ELT/data warehousing, strong SQL/T-SQL, Python or JavaScript, experience with dbt/Fivetran and cloud platforms (GCP/AWS/Azure), data modeling and governance, regulated-domain experience.
Senior Search Data and Systems Engineer, Organic and Agentic Search
San Francisco or Colorado or California or Hawaii or Oregon or Florida or Denver or Portland or San Diego or Texas
$102k-$183k/yrRemoteFull Time
AutodeskNASDAQ: ADSK: Developing software for architecture, engineering, and entertainment industries.
7+ YOE7+ years building data or search systems; strong Python and SQL; experience with data warehouses (Snowflake, BigQuery), APIs, instrumentation, data modeling, analytics, and productionizing LLM/AI workflows.
United States or Alabama or Arizona or Arkansas or California or Colorado or Connecticut or Florida or Georgia or Hawaii or Illinois or Indiana or Iowa or Kentucky or Massachusetts or Maryland or Michigan or New Jersey or New York or North Carolina or Ohio or Pennsylvania or Rhode Island or South Carolina or Texas or Virginia or Washington or Wisconsin
$108k-$120k/yrRemoteFull Time
Packback: AI-powered learning platform for student inquiry and writing support.
2+ YOE2+ years in analytics role, expert SQL, Python experience, dbt and BigQuery experience, familiarity with CI/CD and version control, strong data visualization and storytelling skills.
ProService Hawaii: Provides full-service human resources, payroll, and benefits management.
Experience in GTM engineering or revenue/data engineering; building production automations and integrations; familiarity with CRM, APIs, workflow automation, and LLM workflows; strong bias to action.