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Remote Chemical Engineering Data Science Jobs in Utah

JourneyTEAM

Senior Data Engineer

Draper, UT · On-site +1

$126K - $176K/yr

... engineering concepts, and a passion for modern data lakehouse technologies. Nice To Have (Not Required) * Bachelor's or master's degree in computer science, informatics, data science or related ...

Milliman

Data Engineer (MedInsight)

Salt Lake City, UT · On-site +1

$93K - $177K/yr

Bachelor's degree in computer science, engineering, information systems, or related field; or ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Deloitte

GCP Manager

Salt Lake City, UT · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Support existing data science and modeling teams by aligning platform capabilities to business and ...

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer * Expert-level ...

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer * Expert-level ...

Varsity Tutors

High School Science Tutor

Provo, UT · Remote

$40/hr

... chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science ...

Varsity Tutors

High School Science Tutor

Spanish Fork, UT · Remote

$40/hr

... chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science ...

Varsity Tutors

High School Science Tutor

Cedar City, UT · Remote

$40/hr

... chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science ...

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All JobsChemical Engineering Data Science JobsRemote Chemical Engineering Data Science JobsRemote Chemical Engineering Data Science Jobs in Utah

Remote Chemical Engineering Data Science information

What is the difference between Remote Chemical Engineering Data Science vs Remote Chemical Engineering?

AspectRemote Chemical Engineering Data ScienceRemote Chemical Engineering
Required CredentialsBachelor's or higher in Chemical Engineering, Data Science, or related fields; knowledge of programming and data analysisBachelor's or higher in Chemical Engineering; engineering licensure may be preferred
Work EnvironmentPrimarily remote, involving data analysis, modeling, and software toolsRemote or on-site, focusing on process design, safety, and plant operations
Employer & Industry UsageTech companies, consulting firms, or R&D departments integrating data scienceManufacturing, oil & gas, pharmaceuticals, and chemical plants

Remote Chemical Engineering Data Science combines chemical engineering principles with data analysis skills, often working remotely on modeling and data-driven decision-making. In contrast, Remote Chemical Engineering focuses on process design and plant operations, which may involve on-site work. Both roles require a chemical engineering background but differ in technical focus and work environment.

How do remote chemical engineering data scientists typically collaborate with cross-functional teams?

Remote chemical engineering data scientists often work closely with R&D, process engineering, and IT teams to analyze complex datasets and develop data-driven solutions. Collaboration is facilitated through virtual meetings, shared digital platforms, and clear documentation. Regular communication and project management tools help coordinate tasks, track progress, and ensure that insights are effectively integrated into engineering projects. Building strong relationships remotely can be a challenge, but proactive communication and participation in team discussions are key to successful collaboration.

What is a Remote Chemical Engineering Data Scientist?

A Remote Chemical Engineering Data Scientist is a professional who applies data science techniques, such as machine learning and statistical analysis, to chemical engineering problems while working outside a traditional office setting. They analyze data from chemical processes, develop predictive models, and help optimize production, often collaborating with teams virtually. This role requires a strong foundation in chemical engineering principles, programming skills, and experience with data analytics tools. Working remotely offers flexibility but also demands excellent communication and self-management skills.

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

To excel as a Remote Chemical Engineering Data Scientist, you need a strong background in chemical engineering principles, data analysis, and statistical modeling, often supported by a degree in engineering or data science. Proficiency in programming languages like Python or R, experience with machine learning frameworks, and familiarity with process simulation tools are typically required. Exceptional problem-solving skills, communication, and the ability to collaborate virtually make candidates stand out in this remote environment. These capabilities are vital for transforming complex chemical process data into actionable insights and driving innovation from a distance.
What are popular job titles related to Remote Chemical Engineering Data Science jobs in Utah? For Remote Chemical Engineering Data Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Chemical Engineering Data Science jobs in Utah look for? The top searched job categories for Remote Chemical Engineering Data Science jobs in Utah are:
What cities in Utah are hiring for Remote Chemical Engineering Data Science jobs? Cities in Utah with the most Remote Chemical Engineering Data Science job openings:
Remote Chemical Engineering Data Science jobs near you
Senior Data Engineer

Senior Data Engineer

JourneyTEAM

Draper, UT • On-site, Remote

$126K - $176K/yr

Full-time

Medical, Dental, Retirement

Posted yesterday

Job description

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart Senior Data Engineer Consultant to join our world-class team and continue building out our best-in-class solutions. If you are ready for growth, love designing and building Microsoft data solutions and have a passion for helping people and businesses, we would love to hear from you!
About JourneyTeam
JourneyTeam helps companies implement business solutions and improvements through Microsoft technologies. JourneyTeam is an award-winning Microsoft Partner specializing in all three Microsoft Clouds: Modern Workplace, Microsoft Azure, and Microsoft Business Applications, including Microsoft Dynamics 365, Power Platform and Data+A/I.
What truly sets us apart is how we show up every day-for our customers and for each other. We believe that great outcomes come from great people who are aligned in how they work, collaborate, and take ownership. We succeed by consistently demonstrating our core values:
  • A Caring Mindset
  • Exceptional Performance
  • Being OneTeam
  • Making & Keeping Commitments
  • Taking Ownership
  • Effective Communication
  • A Growth Mindset

The Opportunity
The Senior Data Engineer Consultant plays a pivotal role in driving technical excellence and business value for our clients. Critical aspects of this role entail the ability to discover business requirements and work alongside our clients as you architect and implement modern data engineering solutions within the Microsoft ecosystem. You will also mentor others and lead the solution design and build process as you meet client expectations and project scope.
Key Responsibilities
  • Help set vision, strategy and roadmap for JourneyTeam data engineering. Incorporate both Microsoft and industry best practices.
  • Architect and implement enterprise data strategies that align with client objectives including analytics, migrations and data integrations.
  • Collaborate with cross-functional teams, including business intelligence developers, Azure cloud administrators, business analysts, and others, to develop comprehensive data solutions.
  • Develop "best-in-class" data engineering solutions that provide data quality, reliability, automation, notification, scalability, modularity, security.
  • Design, develop, and optimize complex dimensional models for reporting (star schemas).
  • Lead out on design sessions with client teams, conduct workshops and training both internally and externally, including webinars.
  • Lead and mentor data engineers, provide technical guidance, share best practices, and foster a culture of continuous learning and growth.
  • Go-to resource for understanding client problems and responding with appropriate methods anchored around best practice, repeatable patterns, and "crush-it" mentality.
  • Diagramming and documentation champion.
  • Excellent leadership, communication, and project management skills.

Qualifications
  • Proven track record with at least 7+ years hands-on experience in data engineering, preferably within the Microsoft ecosystem.
  • 3+ years' experience working with Azure technologies, such as Data Factory, ADLS, Azure Databricks, Spark, Synapse Analytics, Azure SQL Database, Fabric.
  • Demonstrate strong alignment with JourneyTeam values.
  • Advanced SQL skills. Solid understanding of relational databases, transform logic and dimensional modeling techniques. Ability to write complex SQL.
  • Architectural design and experience building data orchestration and pipelines using metadata driven techniques.
  • Experience with connecting to and ingesting from API sources, including using OAuth 2. Additionally, experience with standardizing and/or flattening and/or normalizing JSON to a flavor of SQL structure.
  • In-depth understanding and practical application of modern data and security architecture principles, combining the best of data lakes and data warehouses for robust and scalable data management.
  • Successful management of data engineering projects, including planning, execution, and delivery.
  • Demonstrated ability to take ownership and responsibility of critical issues and provide resolution. Strong problem-solving and decision-making abilities as well as excellent collaboration skills.
  • Ability to create great rapport with client teams and exercise a knack for driving the adoption of data strategies that move the needle in improving business outcomes.
  • The ideal team member is an analytical problem solver with extensive technical expertise, a deep understanding of data engineering concepts, and a passion for modern data lakehouse technologies.

Nice To Have (Not Required)
  • Bachelor's or master's degree in computer science, informatics, data science or related technical discipline.
  • Experience dealing with high-volume and high-velocity data streams and designing systems that can handle the demands of real-time or near-real-time analytics.
  • Azure Databricks experience.
  • Relevant industry certifications, especially Microsoft.

Pathway to Success
30 Days:
  • Read and review "The Data Warehouse Toolkit" by Ralph Kimball
  • Participate and contribute to group training plan
  • Shadow other data engineers to learn the implementation process and tasks required throughout our projects.
  • Be assigned to a project and support tasks.

90 Days:
  • Independently own, architect and implement customer solutions.
  • Build data standards and templates and train team on value and adoption.

6 months:
  • Fully involved in project and support efforts and be a contributing member of project teams and long-term client support
  • Achieve a Microsoft certification
  • Achieve a 75% customer engagement rate by the beginning of six-month period.

Compensation:
The base salary range for this role is $126,500 - $176,000 + performance-based bonus program. Eligibility and payout are tied to individual contributions, team performance, and company success.
This is the established pay range for the Senior Data Engineer roles at JourneyTeam on the Data & AI Solutions Practice.
Benefits:
JourneyTeam offers a wide range of excellent benefits, including comprehensive healthcare and dental coverage, as well as a 401(k) with an approximate 4% employer match-with immediate vesting. We offer flexible time off and provide paid maternity and paternity leave.
Additional perks include a monthly phone stipend (or the option to join our corporate phone plan) and a monthly gym membership reimbursement of up to $200.
JourneyTeam is an Equal Opportunity Employer. This position is not open to C2C, H1B sponsorships, or third-party agencies.
JOB CODE: 1000100

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