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Senior Data Platform Engineer Jobs in Utah (NOW HIRING)

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

... banking platform. The role collaborates with cross‑functional stakeholders to identify ... Lead teams in implementing programming best practices and adopting emerging technologies.

Help evolve Weave's performance engineering strategy as our platform and customer base continue to grow. What You Will Need to Accomplish the Job * Experience: 5+ years (for Senior level) of ...

... data-related programming languages • Proficient creating machine learning, predictive modeling ... platform that helps financial institutions modernize their operations and improve the customer ...

Cloud Platform Engineer

Draper, UT · On-site

$130K - $150K/yr

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Sr. Cloud Platform Engineer

Lehi, UT

$52.25 - $70/hr

Our platform sits at the intersection of financial data, cloud-scale infrastructure, and trust, and ... Empower Developers: Reduce friction in the development lifecycle by optimizing platform response ...

Cloud Platform Engineer

Draper, UT · On-site

$130K - $150K/yr

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Lead and guide teams in implementing programming best practices and adopting emerging technologies

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Lead and guide teams in implementing programming best practices and adopting emerging technologies

Sr. Cloud Platform Engineer

Lehi, UT · On-site

$52.25 - $70/hr

Our platform sits at the intersection of financial data, cloud-scale infrastructure, and trust, and ... Empower Developers: Reduce friction in the development lifecycle by optimizing platform response ...

Platform Engineer (DevOps)

Salt Lake City, UT · On-site

$51 - $70/hr

  • Retirement

  • PTO

Platform Engineer (DevOps) Category: Project Management Main location: United States, Utah, Salt ... data and using cookies - Learn more. Position Description: Build the Platforms That Power ...

DevOps & Platform Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

  • Retirement

  • PTO

... Platform Engineer Category: Software Development/ Engineering Main location: United States, Utah ... Develop and optimize graph data models, Cypher queries, indexes, and graph traversal strategies to ...

Showing results 41-60

Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What is the difference between Senior Data Platform Engineer vs Data Engineer?

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Utah?

The most popular types of Data Platform Engineer jobs in Utah are:

Platform Engineer Machine Learning (Utah)

Crew Career Center

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago


Job description

ABOUT THIS POSITION

We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

WHAT YOU'LL DO

Responsibilities:

  • Developand enhance the machine learning platform to manage the full model life cycle

  • Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models,supportscalablereal-time predictions in production

  • Design and implementdata engineering solutionsformodel training

  • Expand NLP capabilities with advanced analysis techniques to improve text understanding

  • Design and implementhigh-performance, scalable services and applications

  • Collaborate with team members to create integrated solutions and ensuretimelydelivery of quality software and documentation

  • Understandand adhere to development standards for consistency across teams

  • Performin-depthtechnical and performance analyses to troubleshoot production issues

  • Monitor andmaintainproduction systemsfor reliability and efficiency

WHAT YOU'LL NEED

  • MinimumRequirements (Education,certificationsand experience):

  • Bachelor's degree in Computer Scienceor related area,Masters preferred

  • 7+ years of professional experience writing Pythonor Javacode,with at least 3 years building data platforms

  • Expertproficiencywith SQL

  • NLP

  • Seasoned practitioner of engineering best practices such asCI/CD and automated testing

  • Comfort working in a Linux environment

  • Passion for exploring,applyingand following the evolution ofcutting edgetechnologies related to AI, machine learning, NLP andlarge scaledata processing

  • Professional experience withMLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures

  • Experience with public cloud solutions, such as AWS orGCP

  • Proventrack recordof successful delivery of progressively complex technical projects

  • Coaching and mentoring junior engineers in the team

  • Team player DNA with a positive, self-starter attitude

  • Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:

  • Familiarity withClearML, Triton,PyTorch, and TensorFlow

  • Familiarity with statistics and healthcare domain

  • Provenexpertisein successful large project/build management and execution

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.