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Flexible Full Stack Data Scientist Jobs in Utah (NOW HIRING)

SQL, Data Modeling, Snowflake, Databricks Responsibilities: * Design, develop, deploy, and maintain full-stack applications. * Build scalable APIs, microservices, and cloud-native solutions.

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Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent ... Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts * Paid Training, Paid ...

Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent ... Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts * Paid Training, Paid ...

Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent ... Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts * Paid Training, Paid ...

Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent ... Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts * Paid Training, Paid ...

Full Stack Engineer

Midvale, UT · On-site

$85 - $115/hr

Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent ... Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts * Paid Training, Paid ...

Full Stack Engineer

Pleasant Grove, UT · On-site

$140K - $180K/yr

Senior Full-Stack Product Engineer Location: Pleasant Grove, UT (Hybrid) Type: Full-Time ... Flexible, responsible PTO * Retirement: 401(k) plan with a company match. * Healthcare: ...

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Flexible Full Stack Data Scientist information

What is the difference between Flexible Full Stack Data Scientist vs Data Engineer?

AspectFlexible Full Stack Data ScientistData Engineer
Primary FocusData analysis, modeling, and insightsData pipeline development and infrastructure
SkillsStatistics, machine learning, programming (Python, R)ETL, database management, cloud platforms
CredentialsDegree in Data Science, Statistics, or related fieldsDegree in Computer Science, Software Engineering
Work EnvironmentCross-functional teams, research-focusedData infrastructure teams, IT departments

Flexible Full Stack Data Scientists focus on analyzing data and building models to generate insights, while Data Engineers develop and maintain the data infrastructure and pipelines. Both roles often collaborate but serve different core functions within data-driven organizations.

What are the most commonly searched types of Full Stack Data Scientist jobs in Utah?

The most popular types of Full Stack Data Scientist jobs in Utah are:

What cities in Utah are hiring for Flexible Full Stack Data Scientist jobs?

Cities in Utah with the most Flexible Full Stack Data Scientist job openings:

Full Stack Developer

Fint Solutions Inc

Provo, UT • On-site

Other

Posted 3 days ago

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Job description

We are seeking a Senior Full Stack Software Engineer with strong experience in building and supporting scalable production applications. The ideal candidate will have expertise in full-stack development, cloud technologies, APIs, microservices, and CI/CD, along with exposure to data platforms and data engineering concepts.

Key Skills:

  • Java, Python, TypeScript/JavaScript
  • React or Angular
  • REST APIs, GraphQL, Microservices
  • AWS (Lambda, ECS/EKS, S3, API Gateway)
  • Docker, Kubernetes
  • CI/CD, Jenkins, GitHub Actions, DevOps
  • Kafka, Spark, Flink, Data Pipelines
  • SQL, Data Modeling, Snowflake, Databricks

Responsibilities:

  • Design, develop, deploy, and maintain full-stack applications.
  • Build scalable APIs, microservices, and cloud-native solutions.
  • Develop and maintain CI/CD pipelines and DevOps practices.
  • Work with AWS services and containerized applications.
  • Collaborate with data teams to build and integrate data-driven applications.
  • Implement event-driven architectures using Kafka or similar technologies.

Preferred Background:

  • 12+years of software engineering experience.
  • Strong full-stack development experience with modern frontend and backend frameworks.
  • Experience with cloud platforms, DevOps, and data platform technologies.
  • Ability to own solutions from design through production support.