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Remote Data Engineer Jobs in Midvale, UT (NOW HIRING)

... 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 ...

Principal Solutions Engineer

Salt Lake City, UT · On-site +1

$163.20K - $220.80K/yr

The ideal candidate will have a strong background in solution design, data management, and ... This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ...

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

Full Stack Java Developer

Salt Lake City, UT · On-site +1

$50.75 - $65.50/hr

Req ID: 372102 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency

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Remote Data Engineer information

See Midvale, UT salary details

$42K

$122.3K

$167.4K

How much do remote data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data engineer in Midvale, UT is $122,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,700.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

What are the most commonly searched types of Data Engineer jobs in Midvale, UT? The most popular types of Data Engineer jobs in Midvale, UT are:
What are popular job titles related to Remote Data Engineer jobs in Midvale, UT? For Remote Data Engineer jobs in Midvale, UT, the most frequently searched job titles are:
What cities near Midvale, UT are hiring for Remote Data Engineer jobs? Cities near Midvale, UT with the most Remote Data Engineer job openings:
GCP Engineer

GCP Engineer

Deloitte

Salt Lake City, UT • On-site, Remote

Other

Posted 8 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite 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 support GCP-based data lake and data platform environments, including integrations
  • Translate approved technical designs into implementation tasks, configurations, and deployment steps
  • Develop and support cloud-based data pipelines, platform components, and environment setup activities
  • Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
  • Troubleshoot platform issues and support ongoing performance, stability, and operational needs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

  • Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
  • Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
  • Experience developing or supporting data pipelines and platform integrations
  • Experience translating technical designs into implementation tasks and deployment steps
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $121,400 to $143,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite 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 support GCP-based data lake and data platform environments, including integrations
  • Translate approved technical designs into implementation tasks, configurations, and deployment steps
  • Develop and support cloud-based data pipelines, platform components, and environment setup activities
  • Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
  • Troubleshoot platform issues and support ongoing performance, stability, and operational needs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

  • Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
  • Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
  • Experience developing or supporting data pipelines and platform integrations
  • Experience translating technical designs into implementation tasks and deployment steps
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $121,400 to $143,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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