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Senior Data Engineer Jobs in Springville, UT (NOW HIRING)

Epicor

Senior Data Ops Developer

Lehi, UT · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

nCino

Senior Data Scientist

Lehi, UT · On-site

Job Summary : nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their ... data-related programming languages • Proficient creating machine learning, predictive modeling ...

BambooHR

Sr. Data Governance Engineer

Draper, UT

$99K - $134K/yr

As we continue to grow our data platform and AI capabilities, we're looking for a Senior Data Governance Engineer to help ensure our data is trusted, well-defined, and ready to power better decisions ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with Application Engineering, Product Management, and ... data, as well as in surfacing various analytically-based features in core products • Works on ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering teams to gather and process data, as well as in ... surfacing various analytically-based features in core products * Works on groundbreaking new ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

Collaborate with Application Engineering teams to gather and process data and surface ... analytically‑based features in core products. * Work on groundbreaking new applications of ...

Patientco

Sr. Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Crew Career Center

Sr. Data Scientist

Lehi, UT

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Deegit Inc

Senior Big Data Engineer with Storm

Provo, UT · On-site

$52.75 - $69.75/hr

... experience with data transformation pipelines preferably Storm • 5 or more years experience in messaging frameworks preferably Kafka. • 5 or more years experience with Java programming.

Adobe

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

This positionmaintainslots of exposure to cross functional organizations and access to senior ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

BILL

Staff Data Warehouse Engineer

Draper, UT · On-site

... Engineer and help build the trusted data backbone that powers decision-making across Finance ... You'll be a senior technical owner on our Data Operations & Enablement team, designing and ...

BILL

Staff Data Warehouse Engineer

Draper, UT · On-site

... Engineer and help build the trusted data backbone that powers decision-making across Finance ... You'll be a senior technical owner on our Data Operations & Enablement team, designing and ...

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Springville, UT

Senior Data Engineer information

See Springville, UT salary details

$75.3K

$117.5K

$162.8K

How much do senior data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior data engineer in Springville, UT is $117,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $133,900.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What cities near Springville, UT are hiring for Senior Data Engineer jobs? Cities near Springville, UT with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Springville, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,489 per year, or $56.5 per hour.

Senior Data Ops Developer

Epicor

Lehi, UT • Hybrid

Full-time

Posted 8 days ago

Job description

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and translate business requirements into scalable technical solutions. You will partner with Data Platform, Analytics, Quote-to-Cash, and Quote-to-Fulfillment teams to improve how data is stored, processed, and used across the organization. We are seeking applicants with strong SQL knowledge, practical data engineering experience, and the communication skills to connect technical solutions with business needs.

What you will be doing:
  • Design, implement, and maintain cloud-based data pipelines that support the efficient ingestion, storage, processing, and analysis of large volumes of data.
  • Partner with data engineers, analytics teams, and business stakeholders to understand requirements and translate them into scalable, reliable, and maintainable technical solutions.
  • Build automated solutions supporting Quote-to-Cash, Quote-to-Fulfillment, Analytics, and other business processes.
  • Evaluate and use appropriate Azure infrastructure and cloud services, considering scalability, performance, extensibility, cost, security, and operational support.
  • Integrate data from multiple disparate sources while maintaining data quality, integrity, accuracy, and timeliness.
  • Design and optimize data storage and processing solutions, including data lakes, data warehouses, data marts, Azure SQL, and Spark-based workflows.
  • Perform all responsibilities in accordance with company policies, procedures, security requirements, and internal controls.
What you will likely bring:
  • 2-3+ years' experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.
  • Strong SQL skills and experience working with data pipelines, data platforms, data warehouses, data lakes, or similar data environments.
  • Experience gathering requirements from business stakeholders and explaining technical concepts clearly to technical and nontechnical audiences.
  • Strong analytical, strategic-thinking, and creative problem-solving skills, with curiosity to identify trends, investigate details, and improve processes.
  • Excellent written and verbal communication skills, with the ability to synthesize significant amounts of information and tailor it to the intended audience.
  • Ability to work independently, take ownership of assignments, and collaborate effectively as a positive and proactive team member.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.
What could set you apart:
  • Experience with Microsoft Azure, Azure SQL, Azure Data Lake, Azure data warehousing services, or other cloud-native data technologies.
  • Experience using PySpark, Apache Spark, Python, or comparable data-processing technologies.
  • Exposure to AI-enabled solution development using services or platforms such as Azure AI, generative AI application programming interfaces, or Hugging Face.
  • Experience creating internal automation tools, chatbots, agents, or other solutions that improve productivity for business users.

#LI-HYBRID #LI-MB2

About Epicor

At Epicor, we're truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.

We're Proactive, Proud, Partners.


Whatever your career journey, we'll help you find the right path. Through our training courses, mentorship, and continuous support, you'll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we're the essential partners for the world's most essential businesses-the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits

  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role- but your experience doesn't match every qualification of the job description, that's okay- consider applying regardless.

We are an equal-opportunity employer.

Range:

Minimum: $94,000 USD Maximum: $151,000 USD

The salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.

Recruiter:

Matthew Brady

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