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Remote Cloud Data Engineer Jobs in Utah (NOW HIRING)

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

... Google Cloud Professional Data Engineer) are a plus. Working Environment and Physical Demands: * Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$90K - $120K/yr

Data Engineer 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 ...

Senior Manager Data Engineering

Riverton, UT ยท On-site +1

$125K - $150K/yr

... cloud-based platforms Oversee data quality, data integrity, and system reliability across the enterprise Manage and mentor a team of data engineers, driving performance, accountability, and growth ...

Senior Manager Data Engineering

Riverton, UT ยท On-site +1

$125K - $150K/yr

... cloud-based platforms Oversee data quality, data integrity, and system reliability across the enterprise Manage and mentor a team of data engineers, driving performance, accountability, and growth ...

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Develop and maintain a centralized Cloud-Based Sales Ops Data Center, ensuring robust data ...

Staff Cloud Engineer - Infrastructure

Lehi, UT ยท On-site +1

$52.25 - $70/hr

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Analyze monitoring data to identify performance trends, capacity needs, and potential areas for ...

Staff Cloud Engineer - Infrastructure

Lehi, UT ยท Remote

$160K - $180K/yr

What You'll Do As a Staff Cloud Engineer, you will be responsible for managing and optimizing our ... Analyze monitoring data to identify performance trends, capacity needs, and potential areas for ...

Staff Data Architect

Lehi, UT ยท On-site +1

$59.75 - $77/hr

... cloud migration and re-architecture initiatives. * Staff-to-Principal-level software engineering ... We are a hybrid, remote-friendly company, repeatedly recognized as a top workplace, including ...

... eligible for remote or hybrid work. The IT Enterprise Cloud Architect to lead the design ... AWS Environment Engineering & Operations * Build and manage AWS environments using IaC * Maintain ...

... eligible for remote or hybrid work. The IT Enterprise Cloud Architect to lead the design ... AWS Environment Engineering & Operations * Build and manage AWS environments using IaC * Maintain ...

This is a hands-on senior engineering role for someone who enjoys solving complex real-world ... Exposure to cloud-native systems, AI workflows, and integrations * Flexible, remote-friendly work ...

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Showing results 1-20

Remote Cloud Data Engineer information

How does a Remote Cloud Data Engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

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

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

What is a Remote Cloud Data Engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.
What are popular job titles related to Remote Cloud Data Engineer jobs in Utah? For Remote Cloud Data Engineer jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Remote Cloud Data Engineer jobs? Cities in Utah with the most Remote Cloud Data Engineer job openings:
Infographic showing various Remote Cloud Data Engineer job openings in Utah as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Data Engineer

Data Engineer

Packsize

Salt Lake City, UT โ€ข On-site, Remote

$110K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Job Description:

Job Description:

About Packsize,

Packsize is redefining the way businesses and their customers use and experience packaging around the world. We build the technology, design the right solutions, and automate the processes that propel the industry forward. To us, packaging is much more than a box-it's delivering what's right for our customers, their customers, our people, and the planet.


Job Title: Data Engineer

About the Role:
We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this hands-on technical role, you will collaborate with cross-functional teams to gather requirements, architect scalable data solutions, and implement best-in-class data engineering practices. You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives.

What You'll do:

  • Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs.
  • Build and optimize data models, including advanced dimensional modeling and semantic layer design, to enable efficient querying and reporting.
  • Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery.
  • Collaborate with business units, analysts, and stakeholders to gather requirements and translate them into technical solutions that drive measurable business value.
  • Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability.
  • Contribute to the development and maintenance of data warehouses, data lakes, and integration pipelines.
  • Proactively identify and resolve data quality issues, ensuring data integrity and consistency across systems.
  • Work closely with data analysts and other engineers to support data-driven initiatives and deliver actionable insights.
  • Stay current with industry trends and emerging tools to continuously improve data engineering practices.
  • Document technical designs, processes, and solutions to support team collaboration and knowledge sharing.

What You'll Bring:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles.
  • 7+ years of experience in data engineering and analytics or data integration.
  • Expertise in modern data analytics, including building and optimizing data pipelines for near-real-time and batch processing.
  • Proven skills in data architecture, with a focus on designing scalable and efficient data systems.
  • Advanced proficiency in SQL for complex querying, optimization, and data transformation.
  • Intermediate proficiency in Python for scripting, automation, and ETL development.
  • Advanced dimensional modeling skills, with experience designing star schemas and semantic layers for analytics.
  • Expertise in building metadata driven pipelines, integrations, and methods for improving maintainability and reducing technical debt.
  • Experience in semantic layer design to support business intelligence tools and self-service analytics.
  • Strong collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Ability to gather requirements and translate them into technical solutions that align with business goals.
  • Self-driven and motivated, with a track record of delivering high-impact results and moving the needle for business value.
  • Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.
  • Knowledge of data governance, data quality, and data integration best practices is a plus.
  • Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus.

Working Environment and Physical Demands:

  • Hybrid or onsite work environment preferred, with remote consideration based on candidate qualifications and company policy.
  • Occasional travel may be required for meetings and conferences.

What We Offer

Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills.

If this role excites you but you don't meet each requirement listed, we encourage you to apply anyway. At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best candidates may come from the most unlikely of places.

Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities

Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills. At Packsize, we're committed to supporting the health, well-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well-being.

Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.


Packsize logo

About Packsize

Sourced by ZipRecruiter

Industry

Plastics packaging film and sheet (including laminated) manufacturing

Company size

51 - 200 Employees

Headquarters location

Salt Lake City, UT, US

Year founded

2002