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Data Analytics Engineer Jobs in Draper, UT (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Salt Lake City, UT · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

mophie

Director, Analytics

Midvale, UT

Direct and manage a small team of contractors: an Analytics Engineer responsible for data pipeline and infrastructure work, and a Tagging amp; Tracking Specialist responsible for implementation and ...

Milliman

Data Engineer (MedInsight)

Salt Lake City, UT · On-site +1

$93K - $177K/yr

MedInsight's engineering team is building the next generation of healthcare data analytics. We are ... Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ...

ZAGG Inc

mophie Director, Analytics

Midvale, UT

Direct and manage a small team of contractors: an Analytics Engineer responsible for data pipeline and infrastructure work, and a Tagging amp; Tracking Specialist responsible for implementation and ...

ZAGG, Inc.

mophie Director, Analytics

Midvale, UT · On-site

Direct and manage a small team of contractors: an Analytics Engineer responsible for data pipeline and infrastructure work, and a Tagging & Tracking Specialist responsible for implementation and QA. ...

BambooHR

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

We'll rely on your expertise across data, analytics, ML, and AI engineering to develop, automate, and maintain pipelines and intelligent systems. Your ability to use AI in building reliable ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

LVT

Data Engineer, AI

American Fork, UT · On-site +1

$102K - $122K/yr

Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into durable data solutions. * Document data architecture, pipeline design, and modeling ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Draper, UT

Data Analytics Engineer information

See Draper, UT salary details

$41.6K

$121.3K

$165.9K

How much do data analytics engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data analytics engineer in Draper, UT is $121,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Draper, UT? The most popular types of Data Analytics Engineer jobs in Draper, UT are:
What job categories do people searching Data Analytics Engineer jobs in Draper, UT look for? The top searched job categories for Data Analytics Engineer jobs in Draper, UT are:
What cities near Draper, UT are hiring for Data Analytics Engineer jobs? Cities near Draper, UT with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Draper, UT as of June 2026, with employment types broken down into 60% Full Time, 34% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,265 per year, or $58.3 per hour.
Global Banking & Markets - Salt Lake City - Associate, Data Analytics BI - 3520417

Global Banking & Markets - Salt Lake City - Associate, Data Analytics BI - 3520417

Goldman Sachs, Inc.

Salt Lake City, UT • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Description
Job Duties: Associate, Data Analytics BI with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Develop business intelligence solutions using capabilities such as Alteryx, SQL, Tableau, and Python. Provide end-to-end reporting and self-service analytics tools which produce a variety of key metrics related to Fees and Commissions Operations, Front to Back Trade Lifecycle, Departmental Throughput, and Client Performance in relation to Goldman Sachs' global markets trading activities. Build and streamline ETL processes which integrate Global Markets data platforms. Manage business intelligence product SDLC within globally distributed Alteryx and Tableau server environments. Develop, prioritize, and communicate project plans end-to-end using JIRA; mentor junior developers on Agile development; facilitate project progress as the scrum master. Provide mentorship and feedback to junior team members while managing competing priorities from a wide range of senior stakeholders. Program manage multiple books of work with a variety of stakeholders throughout Operations, Technology, and Sales and Trading; ensure projects are delivered on time and end users are aware of potential project blockers. Identify, document, and improve existing processes to maximize efficiency in constantly evolving environments. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.
Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Software or Computer Engineering, Information Technology, Computer Information Systems, or a related field and three (3) years of experience in job offered or in a related role. Prior work experience must include three (3) years with: software Development Lifecycle utilizing globally distributed Alteryx Server and Tableau Server platforms; project management oversight to gather and build requirements with end users for the development of automated engineering or BI built solutions; developing and maintaining ETL processes using advanced Alteryx functionality, including macros, analytic apps, and reporting data transform tools; developing and maintaining high-performance databases using advanced SQL (subqueries, window functions, and data design language) and experience with data architecture and administration; developing and maintaining high-performance dashboards using advanced Tableau (level of detail functions, context filters, and data blending) and experience with data visualization best practices (use of pre-attentive attributes, and storytelling); and JIRA project management tools, including core functions such as Epics, Stories, Tasks, and Story Points.
©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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