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

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 ...

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 ...

AI Automation Engineer -Remote

Ogden, UT · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Senior Electrical Engineer

Salt Lake City, UT · On-site +1

$104K - $135K/yr

... remote working. Key Responsibilities * Provide leadership and mentoring to junior staff * Lead ... Data collection, coordination, analyses, report generation, and design development * Effective ...

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Remote Data Engineer information

See Layton, UT salary details

$40.4K

$117.9K

$161.3K

How much do remote data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote data engineer in Layton, UT is $117,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $124,900.00 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 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 are the most commonly searched types of Data Engineer jobs in Layton, UT? The most popular types of Data Engineer jobs in Layton, UT are:
What are popular job titles related to Remote Data Engineer jobs in Layton, UT? For Remote Data Engineer jobs in Layton, UT, the most frequently searched job titles are:
What cities near Layton, UT are hiring for Remote Data Engineer jobs? Cities near Layton, UT with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Layton, 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, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,856 per year, or $56.7 per hour.
Data Engineer - Assistant Vice President

Data Engineer - Assistant Vice President

iCapital

Salt Lake City, UT • On-site, Remote

$100K - $135K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and highquality solutions.

Data sits at the core of iCapital's operations. The firm relies on clean, reliable, wellstructured data to drive decisionmaking, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.

Responsibilities

  • Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making.
  • Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
  • Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
  • Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital's ecosystem.
  • Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital's FinTech strategy and improve the overall profitability of the business.

Qualifications

  • 6-10 years of professional experience in a data engineering or data-driven software engineering role
  • Exceptional Python and SQL skills
  • Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
  • Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
  • Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
  • Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
  • Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
  • Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
  • Detail-oriented and able to multitask and work in a fast-paced environment
  • Able to work independently while also being a strong team player
  • Excellent written and verbal communication
  • Passionate about learning and mastering cutting-edge technologies
  • Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
  • Knowledge of financial markets and financial instruments is preferred

Benefits

The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.