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Remote Google Bigquery Jobs in Michigan (NOW HIRING)

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 job categories do people searching Remote Google Bigquery jobs in Michigan look for? The top searched job categories for Remote Google Bigquery jobs in Michigan are:
What cities in Michigan are hiring for Remote Google Bigquery jobs? Cities in Michigan with the most Remote Google Bigquery job openings:

Senior Technical Risk Engineer

Ford Motor Company

Dearborn, MI • Remote

$96K - $162K/yr

Full-time

Medical, Dental, Life, PTO

Re-posted 24 days ago


Job description

We are seeking a Technical Risk Engineer with strong technical acumen to design, prioritize, and enable risk-reducing technical solutions across complex cloud and enterprise environments. This role emphasizes solution engineering over process engineering-using risk frameworks, policies, and controls as inputs to architect practical, automatable, and scalable technical safeguards.

The ideal candidate thinks like an engineer first and a risk professional second: someone who understands how systems fail, how controls can be enforced through code and architecture, and how risk intent is translated into resilient technical designs.

Preferred Technical Skills

  • Cloud Platforms: Google Cloud Platform (GCP)
  • Automation & API Development: Proficiency in Python or Java and Ansible for scripting, with hands-on experience in API development (RESTful) 
  • Infrastructure as Code: Terraform (required)
  • Data & Analytics: GCP BigQuery, Power BI (or similar) to visualize risk posture & evidence.
  • Backup, recovery, and resilience solution architectures

  • Isolated Recovery Environment (IRE) design and implementation in GCP

  • Supporting Knowledge (nice to have):
    • GRC and/or Security Domain expertise
    • CI/CD pipelines and policy-as-code
    • Cloud IAM, networking, and control planes
    • Observability, logging, and evidence automation
    • GRC Platforms: Archer, ServiceNow
    • ITIL-based IT Service Management (ITSM)
    • Familiarity with Agentic AI Frameworks

Required Qualifications

  • Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field
  • 7+ years in IT operations & engineering, security engineering, platform engineering, SRE, or technical risk roles
  • Backup, recovery, and resilience solution architecture implementations, especially IRE's.

  • Proven ability to design and influence technical solutions across teams
  • Strong understanding of how risk manifests in distributed systems, cloud platforms, and automation
  • Comfortable operating between engineering teams and risk stakeholders
  • Ability to explain complex technical risk concepts to non-technical audiences without losing fidelity

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary 

This position is a salary grade 8

This position is a salary grade 8 and ranges from $96,720-162,120.

*Visa Sponsorship is provided for this role*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 

#LI-Remote

#LI-GH2

Preferred Technical Skills

  • Cloud Platforms: Google Cloud Platform (GCP)
  • Automation & API Development: Proficiency in Python or Java and Ansible for scripting, with hands-on experience in API development (RESTful) 
  • Infrastructure as Code: Terraform (required)
  • Data & Analytics: GCP BigQuery, Power BI (or similar) to visualize risk posture & evidence.
  • Backup, recovery, and resilience solution architectures

  • Isolated Recovery Environment (IRE) design and implementation in GCP

  • Supporting Knowledge (nice to have):
    • GRC and/or Security Domain expertise
    • CI/CD pipelines and policy-as-code
    • Cloud IAM, networking, and control planes
    • Observability, logging, and evidence automation
    • GRC Platforms: Archer, ServiceNow
    • ITIL-based IT Service Management (ITSM)
    • Familiarity with Agentic AI Frameworks

Required Qualifications

  • Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field
  • 7+ years in IT operations & engineering, security engineering, platform engineering, SRE, or technical risk roles
  • Backup, recovery, and resilience solution architecture implementations, especially IRE's.

  • Proven ability to design and influence technical solutions across teams
  • Strong understanding of how risk manifests in distributed systems, cloud platforms, and automation
  • Comfortable operating between engineering teams and risk stakeholders
  • Ability to explain complex technical risk concepts to non-technical audiences without losing fidelity

Key Responsibilities

  • Engineer technical risk solutions that reduce operational, cyber, and resilience risk through architecture, automation, and control design.
  • Translate risk requirements, policies, and standards into implementable technical patterns, guardrails, and reference architectures.
  • Prioritize and influence solution design decisions based on risk impact, blast radius, and recovery dependencies.
  • Partner with platform, cloud, security, and SRE teams to embed risk controls directly into infrastructure and pipelines.
  • Evaluate control effectiveness using technical signals and evidence, not just procedural compliance.
  • Support initiatives such as secure cloud architecture, isolated recovery environments, identity and access hardening, and infrastructure resilience.
  • Provide technical guidance on risk tradeoffs, recovery sequencing, and dependency-aware system design.
  • Contribute to lightweight process definition where needed-but always in service of enabling better technical outcomes.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982