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Data Engineer Data Analyst Jobs in Alpine, UT (NOW HIRING)

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... data analysis, reporting, system management, and operational improvement ... This position works closely with engineering, operations, and field teams to monitor production ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of theOmnicomPrecision ... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

Data Engineer

Lehi, UT

$107K - $129K/yr

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Collaborate with data analysts, data scientists, ML engineers, business stakeholders, and AI engineers to enable trusted use of enterprise data and knowledge assets. * Design, develop, and maintain ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Support enterprise analytics and reporting initiatives through well‑structured data models and ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Support enterprise analytics and reporting initiatives through well-structured data models and lakehouse architecture. What We're Looking For (Required) * 5-10 years of experience in data engineering ...

Data Engineer

Salt Lake City, UT · On-site

$100K - $135K/yr

This role is highly collaborative and will partner with the Product, Engineering, Analytics teams ... Data sits at the core of client operations. The firm relies on clean, reliable, well structured ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Position Summary We're hiring a Data Engineer to build our data foundation from the ground up ... Over the next few months, you'll help us stand up our first analytics data warehouse and build the ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Position Summary We're hiring a Data Engineer to build our data foundation from the ground up ... Over the next few months, you'll help us stand up our first analytics data warehouse and build the ...

Data Engineer II

Salt Lake City, UT · On-site

$110K - $133K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ...

We're looking for a motivated and enthusiastic Data Engineer Intern to join our team. This is an ... Data Analysis and Exploration: Conduct data exploration and preliminary analysis to support the ...

Showing results 21-40

Data Engineer Data Analyst information

See Alpine, UT salary details

$32.1K

$78.1K

$128.6K

How much do data engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer data analyst in Alpine, UT is $78,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,700.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.
Infographic showing various Data Engineer Data Analyst job openings in Alpine, UT as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,118 per year, or $37.6 per hour.

Technical Data Analyst

Professional Recruiters

Salt Lake City, UT • On-site

$77K - $100K/yr

Full-time

Medical, Dental, PTO

Posted 12 days ago

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Job description

Position Summary

We are seeking a detail-oriented and technically skilled Production Engineer / Technician to support oil and gas production operations through data analysis, reporting, system management, and operational improvement. This position works closely with engineering, operations, and field teams to monitor production performance, identify inefficiencies, improve reporting processes, and support regulatory compliance.

The ideal candidate combines an understanding of oilfield operations with strong analytical and technical skills. Experience with production management systems such as WellView and ProdView, along with tools such as Power BI, Spotfire, and Excel, is highly desirable.

Key Responsibilities

Production & Operational Support

  • Monitor and analyze daily production volumes, downtime, equipment performance, and other key operating metrics.
  • Identify production trends, anomalies, and opportunities to improve operational efficiency and reduce costs.
  • Assist engineering and field teams with production analysis, troubleshooting, and performance reporting.
  • Work with operations personnel to validate production data and investigate discrepancies.
  • Support continuous improvement initiatives related to production performance, reliability, and operational efficiency.

Data Management & Reporting

  • Collect, validate, organize, and maintain production and operational data from WellView, ProdView, SCADA, and other systems.
  • Develop and maintain dashboards and reports used to track production KPIs, equipment performance, downtime, and operational trends.
  • Perform routine data quality checks to ensure information is accurate, consistent, and complete.
  • Prepare daily, weekly, and monthly production reports for engineering, operations, and management.
  • Develop Excel-based tools, models, and reports using advanced formulas, pivot tables, and other analytical functions.

Systems & Data Visualization

  • Develop and maintain dashboards using Power BI, Spotfire, Tableau, or similar visualization platforms.
  • Improve the accessibility and usability of production and operational data for field and management teams.
  • Assist with the development and optimization of automated reporting processes.
  • Use SQL, Python, or similar tools for data extraction and analysis when applicable.
  • Identify opportunities to eliminate manual processes and improve the efficiency of data collection and reporting.

Regulatory & Compliance Support

  • Assist with the preparation and submission of required production and regulatory reports.
  • Maintain accurate documentation for audits, inspections, and internal reporting requirements.
  • Support compliance with applicable local, state, and federal oil and gas regulations.
  • Monitor production and operational information for potential reporting or compliance issues.

Collaboration & Process Improvement

  • Work closely with production engineers, field personnel, operations teams, and management to provide accurate and timely information.
  • Translate production data into practical recommendations that support operational decision-making.
  • Provide support and training related to production systems, dashboards, reporting tools, and data-entry procedures.
  • Recommend improvements to data collection, reporting, and operational workflows.
  • Support technology and digital transformation initiatives designed to improve production visibility and operational performance.

Qualifications

  • Bachelor’s degree in Engineering, Data Science, Business Analytics, Computer Science, or a related field preferred; equivalent technical or industry experience will also be considered.
  • 2–5 years of relevant experience, preferably within oil and gas, energy, production operations, or a related industrial environment.
  • Experience with WellView, ProdView, or similar oilfield production and operations software.
  • Strong proficiency with Microsoft Excel, including formulas, pivot tables, and data analysis.
  • Experience with Power BI, Spotfire, Tableau, or similar reporting and visualization tools.
  • Working knowledge of SCADA systems and production data preferred.
  • SQL, Python, scripting, or database experience is a plus.
  • Understanding of oilfield operations, production processes, equipment performance, and production metrics.
  • Familiarity with regulatory and environmental reporting requirements within the oil and gas industry is preferred.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent attention to detail and commitment to data accuracy.
  • Ability to communicate effectively with engineers, field personnel, management, and other stakeholders.
  • Self-motivated, adaptable, and able to manage multiple priorities in a fast-paced operational environment.

Ideal Candidate

The successful candidate will be comfortable working at the intersection of production operations, engineering, and data. This individual enjoys digging into production information, identifying problems, improving processes, and providing engineers and field teams with reliable information they can use to make better operational decisions.

Company Description

This company offers the opportunity to grow rapidly professionally. They have great mentors. This is a company where you can grow very quickly professionally.