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Remote Google Bigquery Jobs in California (NOW HIRING)

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Hirevouch

Sr/Staff Backend Engineers

San Francisco, CA · On-site +1

The remaining days are remote. The company culture emphasizes strong communication via Slack and ... Google Cloud Platform, Kubernetes, Terraform, Databases: PostgreSQL (transactional), BigQuery (data ...

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Remote Google Bigquery information

What are some common challenges faced by professionals working remotely with Google BigQuery, and how can they be addressed?

One common challenge remote Google BigQuery professionals face is optimizing query performance while managing cost, since inefficient queries can quickly increase expenses. Collaboration with distributed teams can also be tricky, especially when aligning on data schema changes or troubleshooting issues across time zones. To address these, it's helpful to establish clear documentation practices, use version control for SQL scripts, and schedule regular check-ins with team members. Leveraging Google BigQuery's built-in monitoring and cost control tools also helps maintain project efficiency and budget constraints.

What is the difference between Remote Google Bigquery vs Remote Data Analyst?

AspectRemote Google BigqueryRemote Data Analyst
Required CredentialsSQL, Cloud certifications, Google Cloud certificationsSQL, Data analysis, Excel, sometimes certifications
Work EnvironmentCloud platforms, data warehouses, remote teamsData visualization tools, spreadsheets, reporting platforms
Industry UsageData engineering, cloud services, analyticsBusiness intelligence, reporting, insights

Remote Google Bigquery specialists focus on managing and querying large datasets using Google Cloud, requiring technical skills and cloud certifications. Remote Data Analysts interpret data, create reports, and provide insights, often using visualization tools. While both roles work remotely and handle data, Bigquery roles are more technical and cloud-focused, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as a remote Google BigQuery specialist?

To excel as a Remote Google BigQuery Specialist, you need a solid background in SQL, data warehousing concepts, and experience with cloud-based analytics platforms, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery ML, data visualization tools like Looker or Tableau, and relevant certifications such as Google Professional Data Engineer are highly beneficial. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These skills and qualifications enable efficient management of large datasets, insightful analytics, and seamless collaboration in distributed teams.

What is a remote Google BigQuery?

A Remote Google BigQuery job is a position where professionals manage, analyze, and optimize large datasets using Google BigQuery, a fully-managed cloud data warehouse, while working from a location outside of a traditional office. These roles typically involve writing SQL queries, building data pipelines, and collaborating with data engineers and analysts to derive insights from data stored in the cloud. Remote BigQuery specialists may also be responsible for maintaining data security, optimizing query performance, and integrating BigQuery with other data tools. This flexible setup allows employees to work from anywhere with a stable internet connection while supporting organizations' data needs.
What are the most commonly searched types of Google Bigquery jobs in California? The most popular types of Google Bigquery jobs in California are:
What are popular job titles related to Remote Google Bigquery jobs in California? For Remote Google Bigquery jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Google Bigquery jobs in California look for? The top searched job categories for Remote Google Bigquery jobs in California are:
What cities in California are hiring for Remote Google Bigquery jobs? Cities in California with the most Remote Google Bigquery job openings:
Remote Google Bigquery jobs near you
Infographic showing various Remote Google Bigquery job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 40% In-person, 20% Hybrid, and 40% Remote job distribution.

Python Integrations Developer

Extractable

San Francisco, CA • Remote

$59.25 - $81.50/hr

Full-time

Re-posted 29 days ago

Job description

About Finalytics.ai

Finalytics.ai is a leading fintech company delivering AI-powered personalization solutions purpose-built for credit unions and community financial institutions. Our platform helps member-focused organizations deepen relationships, drive growth, and deliver the right financial products to the right members at the right moment. We are a lean, mission-driven team passionate about the positive impact community financial institutions have on the people they serve.


The Role

We're looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You'll be the go-to person for building, maintaining, and troubleshooting integrations with digital banking platforms (Q2, Banno, Alkami), CRM systems (HubSpot, Salesforce), loan origination and account opening systems, and other vendor APIs.

This is a hands-on technical role with a client-facing dimension. You'll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and support teams, and coordinate with our clients' IT departments to get integrations live. You'll need to be comfortable reading API docs, parsing data formats, and solving the messy real-world problems that come with connecting disparate systems.


What You'll Work On

  • Digital Banking Integrations - Build and maintain connections with Q2, Banno (Jack Henry), Alkami, and other digital banking platforms to ingest member data, account information, and transaction feeds
  • CRM Integration - Own integrations with HubSpot and Salesforce: contact syncing, deal tracking, custom property mapping, and workflow automation
  • Loan Origination & Account Opening - Connect with MeridianLink, Origence, Fiserv, nCino, Blend, Withclutch, and other LOS/OAO platforms to track application funnels and conversion data
  • Client Onboarding - Work with new clients to configure and test integrations during setup, including credential management, field mapping, and data validation
  • Monitoring & Troubleshooting - Build alerting and logging around integration health; diagnose and resolve data sync failures, authentication issues, and schema changes


Key Integrations

  • Digital Banking: Q2, Banno (Jack Henry), Alkami, Digital Insight (NCR Voyix), Fizerv
  • CRM: Hubspot, Salesforce
  • LOS/OAO: MeridianLink, Origence, Fiserv,(OpenNow/Originate), nCino, Blend, Withclutch.
  • Analytics: Google Analytics 4, Google BigQuery, Google Tag Manager, Looker


Requirements

Must Have

  • 3+ years experience building and maintaining third-party API integrations - REST, SOAP, webhooks, file-based data exchange
  • Python proficiency - comfortable writing production Python code; Django experience preferred but not required if you can learn quickly
  • Financial services / digital banking experience - experience with one or more of: Q2, Jack Henry (Banno), Alkami, Bankjoy, Fiserv, or similar platforms
  • API troubleshooting skills - ability to diagnose auth failures, data mapping issues, rate limiting, and schema mismatches using logs, API docs, and tools like Postman
  • Clear communication - you'll coordinate with client IT teams, vendor support, and internal developers; ability to translate technical issues for non-technical stakeholders
  • Self-directed problem solving - vendor docs are often incomplete; you need to be comfortable figuring things out through experimentation, vendor support tickets, and reading source code

Nice to Have

  • HubSpot or Salesforce API experience - contact management, custom properties, workflow automation, deal pipelines
  • LOS/OAO systems - MeridianLink, Origence, nCino, Blend, Withclutch, or similar loan origination/account opening platforms
  • OAuth 2.0 / authentication protocols - implementing auth flows for third-party services
  • Google BigQuery or analytics platforms - writing analytical queries, working with GA4 event data
  • Experience working with credit unions or banks - understanding member data, account structures, and regulatory considerations

What We Value

  • Reliability over cleverness - integrations must work consistently; prefer simple, well-tested solutions over elegant but fragile ones
  • Vendor relationship skills - ability to work effectively with third-party support teams, escalate issues appropriately, and maintain productive relationships
  • Security mindset - handling sensitive financial data means thinking about encryption, access control, credential management, and data retention

Work Style

  • Small engineering team with direct access to product decisions
  • Two-week sprint cycles with regular deployments
  • Mix of building new integrations, maintaining existing ones, and supporting client onboarding
  • Direct interaction with clients during integration setup and troubleshooting
  • AI-assisted development tools available (Claude Code, GitHub Copilot)


Location

This is a remote position. We prefer candidates located in Central US time zones for coverage across our client base, but we're flexible for the right candidate.


What We Offer

  • Competitive salary ($100,000 - $130,000 based on experience)
  • Remote-first culture
  • Opportunity to grow with a scaling fintech company
  • Direct impact on client success and company growth
  • Collaborative, low-ego team environment


Apply