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Live In Data Platform Engineer Jobs in Utah (NOW HIRING)

Weave

Sr. Platform Engineer - Data Infrastructure

Lehi, UT · On-site

$101K - $138K/yr

You will be joining a team of talented developers that share a common interest in distributed ... The Data Platform Team's mission is to enable product innovation by making it painless for ...

otg

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

The Senior Manager, Data Engineering will play a critical role in revitalizing OTG's data analytics platform and strategy , transforming how data is leveraged across operations, finance, and guest ...

otg

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

The Senior Manager, Data Engineering will play a critical role in revitalizing OTG's data analytics platform and strategy , transforming how data is leveraged across operations, finance, and guest ...

Sunwest Bank

Cloud Platform Engineer

Sandy, UT · On-site

$130K - $150K/yr

Maintain cloud security posture and support data governance, backup, and disaster recovery ... Participate in engineering planning and execute changes through established IT Operations controls ...

Patientco

VP, Data Sciences

Lehi, UT

Data Platform & Architecture: Overseeing the design, development, and maintenance of scalable and ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

Crew Career Center

VP, Data Sciences

Lehi, UT

Data Platform & Architecture: Overseeing the design, development, and maintenance of scalable and ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

Sunwest Bank

Cloud Platform Engineer

Sandy, UT · On-site

$130K - $150K/yr

Maintain cloud security posture and support data governance, backup, and disaster recovery ... Participate in engineering planning and execute changes through established IT Operations controls ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

Data Platform & Architecture:** Overseeing the design, development, and maintenance of scalable and ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

NetDocuments

Staff Data Architect

Lehi, UT

$59.75 - $77/hr

... platform in cross-functional planning and executive-level discussions. What you'll need to be successful * 10+ years in data architecture, data engineering, or database engineering, with a track ...

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

Strong background in software engineering and distributed systems design, specifically with batch and real-time processing. * Global Leadership: Experience leading and scaling international ...

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

Strong background in software engineering and distributed systems design, specifically with batch and real-time processing. * Global Leadership: Experience leading and scaling international ...

Maximus

Cloud Platform Engineer

Orem, UT · On-site

$48.50 - $64.75/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

New

KēSTA I.T.

Data Engineer

Draper, UT

$100K - $114K/yr

Experience with relational databases and data platforms (e.g., Snowflake, SQL or similar technologies) * Programming experience in languages such as Python, Scala, Java, or similar (Python preferred)

Maximus

Cloud Platform Engineer

Salt Lake City, UT · On-site

$54 - $72/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

New

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Live In Data Platform Engineer information

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
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:
What are popular job titles related to Live In Data Platform Engineer jobs in Utah? For Live In Data Platform Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Utah look for? The top searched job categories for Live In Data Platform Engineer jobs in Utah are:
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Live In Data Platform Engineer jobs near you
Data Architect (Data Platform)

Data Architect (Data Platform)

RevSpring, Inc.

Salt Lake City, UT • On-site

$61.75 - $79.25/hr

Full-time

Re-posted 4 days ago

Job description

Job Title: Data Architect (Data Platform)
Job Summary:
As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support clinical, operational, and financial workflows. This role focuses on structuring complex healthcare data from electronic health records (EHRs) to healthcare financial data into cohesive architectures that enable accurate reporting, analytics, and patient care insights. This role will ensure compliance with healthcare regulations such as HIPAA, implement industry standards like HL7 and FHIR for seamless data exchange, and establish strong data governance, quality, and security practices such as HITRUST. By aligning data strategy with organizational goals, this role plays a critical part in improving data accessibility, reliability, and ultimately patient outcomes.
Data Modeling & Design
You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake schemas), and designing for scalability and performance.
Database & Storage Expertise
Deep knowledge of both relational and non-relational systems is critical. This also means familiarity with data lakes, lakehouses, and distributed storage systems/warehouses (e.g., S3, Delta Lake, BigQuery)
Data Integration
Designing pipelines that move and transform data reliably. This includes experience with ETL/ELT tools (DBT), streaming systems (Kafka, Kinesis), and orchestration frameworks (Airflow, etc.) with the ability to understand batch vs. real-time tradeoffs
Performance Optimization
Indexing strategies, partitioning, query tuning, and workload. The ability to architect for scale, resiliency and business continuity.
Strategic Thinking
Beyond solving today's problems, you will define our data strategy including:
  • Define what the future data architecture should look like
  • Determine how and where to reduce technical debt
  • Identify how to enable analytics insights, incorporate AI, and drive self-service?

Artificial Intelligence (AI)
  • Define and evolve data architectures that support AI/ML workloads, including curated training datasets, feature stores, and scalable pipelines for batch and real-time inference
  • Define and evolve data architectures that leverage AI to drive greater operational efficiency, reduce system complexity, and accelerate the ingestion and processing of healthcare data across platforms
  • Design scalable pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data availability for AI-driven insights and real-time decision support

Minimum Requirements:
Specific Job Skills:
  • 12+ years of software engineering experience, including hands-on technical experience building, maintaining and scaling data systems.
  • 5+ years of experience as a tech lead who successfully converts business / product requirements into well architecture designs.
  • Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL.
  • Extensive experience in building and driving large business outcomes by leveraging a combination of existing and new technologies.
  • A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage.
  • A deep knowledge in cloud platforms such as AWS, GCP, or Azure, and cloud-native API solutions.
  • Deep knowledge of data modeling and data governance control
  • Strong RESTful API design principle, microservices architecture, distributed asynchronous system and good design patterns
  • Strong knowledge with CI/CD pipelines (CircleCI, Github Action), containerization (Docker, Kubernetes), and version control (Git), infrastructure as code (Pulumi, Terraform), Relational and NoSQL databases, caching mechanisms (Redis, Memcached), and performance optimization techniques.
  • Strong leadership and communication skills, with the ability to influence cross-functional teams and communicate complex technical details to upper management and non-technical stakeholders.
  • Proven problem-solving ability with a focus on delivering solutions
  • Positive attitude: Maintaining a constructive approach to work challenges.

Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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