Cloud & Data Tools Engineer

Ford•Palo Alto, CA
•Onsite

About The Position

The Cloud & Data Tools Engineer supports the team’s Google Cloud environment, data-access workflows, and internal applications. The role builds and deploys Docker container images and runs supported applications on Google Cloud services, including Cloud Run. It helps data team members deploy and maintain Streamlit applications, troubleshoot deployment issues, and perform light Python debugging. The engineer also supports Google Cloud sandbox environments and JupyterLab and cloud-based data-analysis workflows; investigates common issues; and coordinates with cloud support teams as needed. The role manages and troubleshoots permission exceptions and service-account access for Google Cloud and Ford Cloud Portal resources in accordance with security and governance processes. It helps users select appropriate accounts or service identities, investigates unavailable permissions or service accounts, and coordinates data-access requests with GDIA data stewards and other data owners. It also performs data-stewardship activities for team assets, helping ensure ownership, access, and supporting information are handled appropriately. The engineer helps prepare team web applications for the internal web platform, including packaging, deployment, and basic troubleshooting. The role supports the team website and related applications, assists with data and content workflows for team communication tools, and troubleshoots uploads to BigQuery-backed services where applicable. It documents recurring procedures, known issues, and deployment and access guidance, and works with GDIA, FCP, and IT organizations to route requests, clarify requirements, and follow issues through to resolution. The position is on site, with candidates in Dearborn, Michigan, or Palo Alto considered. Dearborn employees are required to work on site four days per week. Visa sponsorship is not provided; relocation assistance is provided.

Requirements

  • At least 3 years of experience in the listed areas.
  • Experience with Google Cloud Platform, particularly Cloud Run and BigQuery.
  • Experience developing or supporting Streamlit applications.
  • Familiarity with JupyterLab and cloud-based data-analysis environments.
  • Experience supporting sandbox environments, service accounts, IAM permissions, or cloud-access workflows.
  • Experience working with data stewards, data owners, or enterprise IT and cloud-support teams.
  • Experience packaging and deploying internal web applications or supporting a shared team application platform.
  • Legally authorized to work in the United States; employment eligibility verification is required at hire.

Responsibilities

  • Build and deploy Docker container images and run supported applications on Google Cloud services, including Cloud Run.
  • Help team members deploy and maintain Streamlit applications, troubleshoot deployment issues, and provide light Python debugging support.
  • Support Google Cloud sandbox environments and coordinate with cloud support teams to investigate common issues.
  • Manage and troubleshoot permissions exceptions and service-account access for Google Cloud and Ford Cloud Portal resources while following security and governance processes.
  • Help users identify appropriate accounts or service identities for resources and investigate unavailable service accounts or permissions.
  • Coordinate with GDIA data stewards and other data owners to submit, track, and resolve data-access requests.
  • Perform data-stewardship activities for team assets, including supporting appropriate ownership, access, and related information.
  • Help package, deploy, and troubleshoot team web applications for the internal web platform.
  • Support the team website and related applications, resolving issues that affect usability or routine operation.
  • Assist with data and content workflows for team communication tools, including troubleshooting asset uploads to BigQuery-backed services where applicable.
  • Document recurring procedures, known issues, and deployment or access guidance.
  • Work with GDIA, FCP, and relevant IT organizations to route requests, clarify requirements, and resolve issues.

Benefits

  • Immediate medical, dental, and prescription drug coverage.
  • Flexible family care, parental leave, new parent ramp-up programs, and subsidized backup child care.
  • Vehicle discount program for employees and family members, and management leases.
  • Tuition assistance.
  • Employee resource groups.
  • Paid time off for individual and team community service.
  • Paid holidays, including the week between Christmas and New Year’s Day.
  • Paid time off and the option to purchase additional vacation time.
  • Relocation assistance.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service