ZipRecruiter

Log In

1

Data Engineer Sports Analytics Jobs in Utah (NOW HIRING)

Pattern

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 ...

Pattern

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 ...

Pattern

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 ...

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 ...

Deloitte

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 ...

Patientco

Senior Data Engineer

Lehi, UT

$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 ...

Crew Career Center

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 ...

Weave

Data Engineer Intern

Lehi, UT · On-site

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 ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

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 ...

LVT

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

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 ...

ParetoHealth

Senior Data Engineer

Salt Lake City, UT

$102K - $139K/yr

Partner closely with Product, Underwriting, Analytics, and AI stakeholders to understand data ... Contribute to and enforce data engineering best practices, including version control, code review ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

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 ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics ...

previous pagenext page

Showing results 21-40

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Utah

Data Engineer Sports Analytics information

What does a data engineer in sports analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a data engineer in sports analytics?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

How does a data engineer in sports analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What are popular job titles related to Data Engineer Sports Analytics jobs in Utah?

For Data Engineer Sports Analytics jobs in Utah, the most frequently searched job titles are:

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

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

What cities in Utah are hiring for Data Engineer Sports Analytics jobs?

Cities in Utah with the most Data Engineer Sports Analytics job openings:

Data Engineer Sports Analytics jobs near you

Data Engineer

Pattern

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. 
 
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces-including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
 
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek's Global Most Loved Workplaces.

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making processes. This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise.
 
This is a full-time role and will work a hybrid schedule in Lehi, Utah. 
 
 
Essential Duties and Responsibilities
  • Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse.
  • Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large-scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures.
  • Collaborate with technology teams and partners to specify data requirements and provide access to data.
  • Tune application and query performance using profiling tools and SQL or other relevant query languages.
  • Understand business, operations, and analytics requirements for data
  • Build data expertise and own data quality for assigned areas of ownership.
  • Work with data infrastructure to triage issues and drive to resolution.
Required Qualifications
  • Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience.
  • 3-5 years of experience working with SQL.
  • Familiarity with implementing modern data architecture-based data warehouses.
  • Familiarity with data warehouses such as Redshift, BigQuery, or Snowflake and understanding of data architecture design.
  • Strong communication skills (both in presentation and comprehension).
  • Exposure to data visualization tools like Tableau or ThoughtSpot.
Preferred Qualifications
  • Experience working with time series databases.
  • Experience with SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning.
  • Knowledge of Snowflake.
  • Familiarity with Big Data, non-relational databases, Machine Learning and Data Mining.
  • Familiarity with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue.
  • Familiarity with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch.
  • Understanding of Data Quality and Data Governance.
Our Core Values
  • Data Fanatics: Our edge is always found in the data.
  • Partner Obsessed: We are obsessed with partner success.
  • Team of Doers: We have a bias for action.
  • Game Changers: We encourage innovation.
We are looking for individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern's processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner's expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
  • Initial phone interview with Pattern's talent acquisition team
  • Technical Interview with a member of the team
  • Video interview with a hiring manager
  • Professional reference checks
  • Executive review
  • Offer
How can I stand out as an applicant?
  • Be prepared to talk about professional accomplishments with specific data to quantify examples.
  • Be ready to talk about how you can add value and be the best addition to the team.
  • Focus on mentioning how you would be partner obsessed at Pattern.
  • Be prepared to talk about any side projects related to data and analytics.
Why should I work at Pattern?
 
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
 
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 
 
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply