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Remote Gcp Data Engineer Jobs in Utah (NOW HIRING)

Deloitte

GCP Engineer

Salt Lake City, UT · On-site +1

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

UMB Bank

AI Data Architect

Salt Lake City, UT · On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

University of Utah

Data Engineer III

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

... remote work schedule for candidates who reside in the state of Utah. While most duties can be ... As a Data Engineer, your responsibilities will include: 1. Design, develop, and maintain database ...

R.C. Willey

Data Engineer II

Salt Lake City, UT · On-site +1

$120K/yr

Data Engineer II RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that ... Remote work and relocation support are not offered Key Responsibilities * Utilize SQL to query and ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

... remote work schedule for candidates who reside in the state of Utah. While most duties can be ... As a Data Engineer, your responsibilities will include: 1. Design, develop, and maintain database ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

... remote work schedule for candidates who reside in the state of Utah. While most duties can be ... As a Data Engineer, your responsibilities will include: 1. Design, develop, and maintain database ...

Deloitte

GCP Manager

Salt Lake City, UT · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

CenterWell

Data Engineer - Healthcare

Salt Lake City, UT · Remote

$110.80K - $133.10K/yr

Become a part of our caring community The Data Engineer 2 will develop scalable data processing ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Cardinal Health

Senior Data/AI Engineer

Salt Lake City, UT · Remote

$102.60K - $139.40K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to ... Operate fluently across Databricks and major cloud platforms (Azure, GCP). * Leverage modern AI ...

Carrington

Senior, Data Engineer

Salt Lake City, UT · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

System One

IBM Data Stage Engineer

Cottonwood Heights, UT · Remote

$108.70K - $130.50K/yr

Salt Lake City , UT OR Remote a Possibility Duration - Contract -to-Hire Required qualifications to be successful in this role . Bachelor''s degree in Computer Science, Engineering, Information ...

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Remote Gcp Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote GCP Data Engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a Remote GCP Data Engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What is a Remote GCP Data Engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

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What are popular job titles related to Remote Gcp Data Engineer jobs in Utah? For Remote Gcp Data Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Gcp Data Engineer jobs in Utah look for? The top searched job categories for Remote Gcp Data Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Gcp Data Engineer jobs? Cities in Utah with the most Remote Gcp Data Engineer job openings:
Remote Gcp Data Engineer jobs near you
Data Engineer

Data Engineer

PrincePerelson & Associates

Salt Lake City, UT • On-site, Remote

$140K/yr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

Salt Lake City, UT

$120-140K/year

We are seeking an exceptional Data Engineer to help scale the data foundations that power a high-growth, data-driven organization. This individual will design, build, and optimize data pipelines and infrastructure that enable data to be a strategic asset across the business.

This role is highly collaborative, partnering with Product, Engineering, Analytics, and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, high-quality solutions.

Data sits at the core of the organization’s operations. The business relies on clean, reliable, well-structured data to drive decision-making, enhance client experiences, and support a rapidly expanding product suite. This individual will be responsible for moving and transforming data, developing a deep understanding of business context, and enabling teams to act on insights.

Responsibilities

  • Develop and automate large-scale, high-performance data pipelines and infrastructure to support business growth and data-driven decision-making

  • Design and build reusable components and frameworks for data ingestion, cleansing, and quality assurance

  • Streamline ingestion of raw data from multiple sources into data lake and warehouse environments

  • Design scalable data models optimized for storage and retrieval across key business domains

  • Partner closely with cross-functional teams including Operations, Sales, and Product to support strategic initiatives and improve business outcomes

Qualifications

  • 6–10 years of experience in data engineering or data-focused software engineering roles

  • Strong proficiency in Python and SQL

  • Experience with orchestration frameworks such as Airflow, Prefect, or Dagster

  • Deep understanding of OLAP (e.g., Snowflake, Databricks) and OLTP (e.g., PostgreSQL, MongoDB) systems, as well as ELT frameworks like dbt

  • Experience building and deploying in cloud environments (AWS, GCP, or Azure)

  • Strong software engineering fundamentals, including object-oriented and/or functional programming

  • Experience with stream processing frameworks (e.g., Kafka, Spark, Flink)

  • Familiarity with infrastructure-as-code tools (e.g., Terraform or CloudFormation)

  • Detail-oriented with the ability to manage multiple priorities in a fast-paced environment

  • Strong communication skills and ability to work both independently and collaboratively

  • Interest in learning and applying modern data technologies

Preferred

  • Experience with JVM-based languages such as Scala, Java, or Kotlin

  • Exposure to financial services, markets, or investment-related data

Compensation & Benefits

The company offers a competitive compensation package including base salary, equity, and performance-based bonus. Benefits include comprehensive healthcare coverage, retirement plan with employer match, paid parental leave, and flexible paid time off.

This role follows a hybrid schedule, with in-office collaboration during the week and flexibility for remote work.

This position does not offer visa sponsorship now or in the future.

PrincePerelson & Associates is an Equal Opportunity Employer and complies with all provisions of the EEO and ADA laws. We do not discriminate in our employment practices on the basis of race, color, religion, national origin, sex (including sexual orientation and sexual identity), age, genetic information, parental status, military status, disability, or any non-merit-based factors or other federal, state, or locally protected class. All applicants applying for U.S. job openings must be authorized to work in the United States.

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