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Executive Startup Data Engineer Jobs in Utah (NOW HIRING)

LVT

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

Mentor junior engineers and build strong partnerships with executives and business stakeholders to drive adoption of data solutions. OUR IDEAL CANDIDATE * Seasoned Data Engineer: 7+ years building ...

LVT

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey ... ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ...

LVT

Senior Data Engineer

American Fork, UT ยท On-site

$94K - $128K/yr

Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey ... ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ...

Medium

Software Engineer, Data

Lehi, UT ยท On-site

$120 - $180/hr

As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

New

Neighbor

Software Engineer, Data

Lehi, UT ยท On-site

$140 - $180/hr

As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Neighbor

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Neighbor

Software Engineer, Data

Lehi, UT ยท On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Neighbor

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

BILL

Staff Data Warehouse Engineer

Draper, UT ยท On-site

... a Staff Data Warehouse Engineer and help build the trusted data backbone that powers decision ... marts that executive leadership and Finance rely on for reporting, planning, and strategic ...

Guru Technologies

Sales Account Executive

Layton, UT ยท On-site

$160K - $200K/yr

Data Engineering & Analytics * Mobile Application Development * QA & Test Automation * DevOps & ... Executive relationship strength * Client retention * Customer satisfaction (CSAT/NPS)

Guru Technologies

Sales Account Executive

Layton, UT ยท Hybrid

$160K - $200K/yr

Data Engineering & Analytics * Mobile Application Development * QA & Test Automation * DevOps & ... Executive relationship strength * Client retention * Customer satisfaction (CSAT/NPS)

Guru Technologies

Sales Account Executive

Layton, UT ยท On-site

$160K - $200K/yr

Data Engineering & Analytics * Mobile Application Development * QA & Test Automation * DevOps & ... Executive relationship strength * Client retention * Customer satisfaction (CSAT/NPS)

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Executive Startup Data Engineer information

What is an executive startup data engineer?

Executive Startup Data Engineers are senior-level professionals who design, build, and oversee data systems and strategies within startup companies. They bridge the gap between technical data engineering and high-level business objectives, often leading small teams or entire data departments. Their responsibilities include developing data pipelines, ensuring data quality, and delivering insights that drive business growth. In a startup environment, they must be both hands-on and strategic, adapting quickly to evolving technical and business needs.

What are the key skills and qualifications needed to thrive as an executive startup data engineer?

To thrive as an Executive Startup Data Engineer, you need expertise in data architecture, advanced analytics, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (like AWS or Google Cloud), and relevant certifications are commonly expected. Leadership, strategic thinking, and effective communication are crucial soft skills for driving data initiatives and collaborating with cross-functional teams in a fast-paced environment. These skills and qualities are vital for building scalable data solutions that support business growth and innovation in a startup setting.

What are some unique challenges executive startup data engineers face when building data infrastructure in early-stage companies?

Executive Startup Data Engineers often encounter the challenge of building scalable and reliable data pipelines from scratch with limited resources and rapidly evolving business needs. They must balance hands-on technical implementation with strategic planning, frequently adapting solutions as product priorities shift. Collaboration with founders, product teams, and business stakeholders is crucial to ensure that data systems align with overall company goals. Additionally, they may be responsible for mentoring junior engineers and setting data governance practices that will scale as the company grows.

What is the difference between Executive Startup Data Engineer vs Data Engineer?

AspectExecutive Startup Data EngineerData Engineer
CredentialsTypically requires advanced degrees (Master's or PhD) in data science, computer science, or related fields, with leadership experienceBachelor's or Master's in CS, data science, or related fields, with technical skills
Work EnvironmentStrategic role in startup leadership, involved in decision-making and high-level planningTechnical role focused on data pipeline development, maintenance, and optimization
Employer & Industry UsageFound in startup leadership teams, tech companies, and data-driven startupsCommon across tech, finance, healthcare, and other data-centric industries

The Executive Startup Data Engineer combines technical expertise with strategic leadership, often involved in guiding data initiatives at a high level. In contrast, a Data Engineer primarily focuses on building and maintaining data infrastructure. The executive role requires more experience, leadership skills, and a broader understanding of business goals, while the Data Engineer emphasizes technical proficiency and data management skills.

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

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

What are popular job titles related to Executive Startup Data Engineer jobs in Utah?

For Executive Startup Data Engineer jobs in Utah, the most frequently searched job titles are:

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The top searched job categories for Executive Startup Data Engineer jobs in Utah are:

What cities in Utah are hiring for Executive Startup Data Engineer jobs?

Cities in Utah with the most Executive Startup Data Engineer job openings:

Executive Startup Data Engineer jobs near you

Senior Data Engineer

LVT

American Fork, UT

$94K - $128K/yr

Full-time

Re-posted 19 days ago

Job description

ABOUT THIS ROLE

As Senior Data Engineer, you will own and evolve LVT's core data platform-architecting and operating the pipelines, transformations, and semantic models that power reporting, analytics, and business decisions at scale. This is a high-impact individual contributor role: your technical decisions will influence company-wide systems and competitive positioning, not just team-level outputs. You'll lead cross-functional data initiatives, set engineering standards, and contribute to the data infrastructure that supports LVT's growing AI capabilities.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

  • Design, build, and maintain scalable, production-grade ELT pipelines that move data reliably from diverse source systems into a clean, well-governed data platform.

  • Architect and own LVT's Snowflake environment-performance tuning, dynamic tables, clustering strategies, storage optimization, and cost governance.

  • Develop and enforce semantic models that expose consistent, trusted business definitions across all reporting and analytics surfaces.

  • Define and drive data engineering standards that improve quality, reliability, and productivity across teams-not just within BI.

  • Lead cross-functional data initiatives, partnering with engineering, finance, operations, and product to deliver solutions that drive meaningful organizational outcomes.

  • Establish data quality infrastructure-implement validation, monitoring, and alerting frameworks that surface problems before they reach stakeholders.

  • Contribute to AI data infrastructure-support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope.

  • Mentor junior engineers and build strong partnerships with executives and business stakeholders to drive adoption of data solutions.

OUR IDEAL CANDIDATE

  • Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under pressure and know how to build for long-term reliability.

  • Snowflake Depth: Expert-level Snowflake experience-performance optimization, dynamic tables, data security, and Cortex familiarity. You know when and why to use each capability.

  • Semantic Modeling Ownership: Proven ability to design and maintain semantic or metrics layers that enforce consistent business logic across a complex, multi-team organization.

  • High-Impact Execution: You operate at the level of organizational strategy-your work influences competitive positioning, not just sprint delivery. You define standards, evaluate trade-offs, and build for the long term.

  • Data Quality Obsession: Reliability is non-negotiable. You instrument pipelines with observability, validation, and alerting from day one, and you define the standards others follow.

  • Leadership & Ownership: You own work from scoping through production and beyond. You influence company-wide technology decisions and mentor others along the way-without waiting to be told what to do.

  • AI Infrastructure Fluency: Familiar with AI/ML data patterns-RAG architectures, vector stores, embedding pipelines-and able to build the data infrastructure those systems require.

  • Executive Communication: You build partnerships with executives and cross-functional stakeholders, translating complex technical trade-offs into clear recommendations that earn trust and drive adoption.

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