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Data Engineer Data Analyst Jobs in Utah (NOW HIRING)

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

$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 ...

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Skills: Advanced Excel VBA programming, data modeling, and professional English communication ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Assists in the analysis of underlying issues arising from investigations into requirements. Assists ... May have prior experience as a Programmer and/or Service Delivery Engineer within a technical ...

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 8/18 ... Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Partner with business analysts, product owners, and stakeholders to understand and translate ... Strong Python programming experience * Experience building scalable data pipelines and ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Partner with business analysts, product owners, and stakeholders to understand and translate ... Strong Python programming experience * Experience building scalable data pipelines and ...

Showing results 41-60

Data Engineer Data Analyst information

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.

What job categories do people searching Data Engineer Data Analyst jobs in Utah look for?

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

What cities in Utah are hiring for Data Engineer Data Analyst jobs?

Cities in Utah with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Utah as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 76% In-person, 9% Hybrid, and 15% Remote job distribution.

Data Engineer

Kavaliro

Salt Lake City, UT • On-site

$100K - $135K/yr

Full-time

Posted 6 days ago


Job description

Job Description
Our client is seeking a Data Engineer for a direct hire opportunity. The Data Engineer will help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high quality solutions.
Data sits at the core of client operations. The firm relies on clean, reliable, well structured data to drive decision making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.
Pay: $100,000 - $135,000 annually
Responsibilities:
  • Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive business growth and enable data-driven decision making.
  • Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
  • Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
  • Design data models for optimal storage and retrieval that represent the tangible business domains across ecosystem.
  • Coordinate closely with the Operations, Sales, and Product Development teams daily to push FinTech strategy and improve the overall profitability of the business.

Qualifications:
  • 6+ years of professional experience in a data engineering or data-driven software engineering role
  • Exceptional Python and SQL skills
  • Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
  • Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
  • Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
  • Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
  • Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
  • Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
  • Detail-oriented and able to multitask and work in a fast-paced environment
  • Able to work independently while also being a strong team player
  • Excellent written and verbal communication
  • Passionate about learning and mastering cutting-edge technologies
  • Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
  • Knowledge of financial markets and financial instruments is preferred

Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Job Requirements
Hybrid
By using best practices and optimal employee recruiting strategies, Kavaliro provides employers with employment solutions by providing the most qualified and professional employees, who can staff both project and permanent positions in order to ensure the ongoing success of all types of businesses. We use a streamlined-yet-thorough approach to staffing that saves our clients administrative time, resources and money.