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

IT Labs

Senior DevOps Engineer

Salt Lake City, UT · Remote

$133K - $170K/yr

You will collaborate closely with development, data, and QA teams to streamline delivery and ... Remote * US-based -- US citizenship is required * Contract or B2B arrangement Our values We are a ...

Packsize

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

... data in transit and at rest. * Evaluate and recommend new security solutions and tools to ... Periodic remote work; comfortable with a hybrid office setting. * Ability to travel up to 15 ...

DataAnnotation

SDLC Engineer - AI Trainer

West Jordan, UT · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Stio

Data Analyst

Salt Lake City, UT · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

Stio

Data Analyst

Salt Lake City, UT · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

Circle

Staff Software Engineer

Salt Lake City, UT · Remote

$195K - $257K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Circle

Senior Software Engineer

Salt Lake City, UT · Remote

$152K - $205K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Adobe

Device Experience Platform Developer

Lehi, UT · Remote

$115K - $218K/yr

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... Own platform health, data quality, and reliability. Establish standards and protocols. Digital ...

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All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Midvale, UT

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 Jun 27, 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
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 job categories do people searching Remote Data Engineer jobs in Midvale, UT look for? The top searched job categories for Remote Data Engineer jobs in Midvale, UT 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:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Midvale, UT as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,337 per year, or $58.8 per hour.

Senior Geothermal Reservoir Engineer

Zanskar

Salt Lake City, UT • On-site, Remote

Full-time

Posted 7 days ago

Job description

Role Overview 
Title: Senior Geothermal Reservoir Engineer
Hours: Full-Time, Salaried
Location: Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote)
Benefits Eligible: Yes
Manager: Head of Exploration or Head of Reservoir R&D (depending on applicant’s skillset)

Why we exist
Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it’s been hard to find and expensive to develop. At Zanskar, we’re building technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid.
At Zanskar, we combine deep subsurface expertise with modern data and modeling to improve geothermal discovery and development outcomes. We conduct well tests and build reservoir models to make better calls on well targeting, and field optimization strategy.

Who you are
The Senior Geothermal Reservoir Engineer will play a critical role in understanding and forecasting geothermal reservoir performance and translating that understanding into field development decisions. A successful candidate will:
- Lead - own reservoir engineering workstreams end-to-end: test planning, execution support, interpretation, model updates, and recommendations.
- Model - move fluently between well test interpretation and numerical simulation, and reconcile mismatches between model predictions and field behavior.
- Collaborate - partner closely with geoscience, drilling, facilities, and operations teams to drive alignment and decision quality.
- Teach - raise the technical bar through strong documentation, clear communication, and mentorship across disciplines.

What you’ll do
Well test design, execution support, and interpretation
- Plan and oversee well tests and surveillance programs (production tests, injection tests, pressure transient tests, interference tests, falloff/step-rate tests, spinner/PTS campaigns, and tracer tests as appropriate).
- Provide real-time support during tests and interpret results post-test (e.g., permeability-thickness, skin, boundaries, connectivity, injectivity/productivity, and reservoir pressure trends).
- Build repeatable analysis workflows, templates, and QC checks so results are trustworthy and comparable across wells and campaigns.

History matching and integrated reservoir/wellbore modeling
- Build, calibrate, and maintain reservoir models that match observed field history (rates, pressures, temperatures/enthalpy, injectivity/productivity, and tracer/connectivity signals).
- Perform sensitivity and uncertainty analysis; communicate what is known vs. uncertain and what data would most reduce uncertainty.

Forecasting, development planning, and optimization
- Generate production and injectivity forecasts under multiple operational and development scenarios (including uncertainty ranges).
- Evaluate reservoir management strategies (injection allocation, make-up well timing, pump strategies, and remediation options as relevant).
- Translate model outputs into decision-ready recommendations (generation impacts, operational tradeoffs, and key risks).

Data, tooling, and cross-functional communication
- Maintain high-quality operating datasets and ensure completeness and provenance across test data, production/injection data, and well logs.
- Build lightweight analytics (Python/SQL) to automate recurring analyses and monitoring dashboards.
- Present findings via concise memos and reviews; be the owner of the reservoir narrative that leaders and operators can rely on.

What we’re looking for
- B.S. (or higher) in Reservoir Engineering, Petroleum Engineering, Mechanical Engineering, Geoscience, or a related field.
- 4+ years of reservoir engineering experience in geothermal and/or analogous subsurface industries (oil & gas, hydrogeology, CCS), with demonstrated ownership of well tests and reservoir modeling work.
Proven excellence in several of the following technical skills:
- Well testing and surveillance: design and interpretation of PTA (build-up, falloff/step-rate), interference/connectivity tests, injectivity/productivity, and tracer-based diagnostics; strong data QC.
- Numerical simulation: develop and update geothermal reservoir models with wellbore models; calibrate against field data and integrate geologic constraints into conceptual and numerical models.
- History matching: ability to adjust parameters systematically, understand non-uniqueness, and communicate uncertainty and model limitations.
- Forecasting: scenario-based production and injectivity forecasts tied to operational constraints; translate results into actionable field recommendations.
- Cross-functional communication: write clear technical memos, present tradeoffs, and collaborate effectively with operations, drilling, and facilities teams.
- Nice-to-haves: reservoir-surface network integration; probabilistic history matching/optimization workflows; fluency in Python and SQL.
Location and Benefits
- The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position with periodic travel (~15-30%) to operating geothermal assets.

Benefits include:
- Paid holidays
- 18 days PTO + PTO accrual increase based on tenure
- Medical, dental and vision coverage
- 401k Stock options
- Paid Parental Leave
- Growth opportunities at a company with a direct impact in displacing carbon emissions

Equal Opportunity Employer 
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.