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Manager Data Analytics Engineer Jobs in Salem, UT

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. The successful ... Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ...

Director - Applied Analytics

Lindon, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analytics and Data Engineering both report to the same leader, so you'll be working closely with ... If you only manage, or only build, this probably isn't the right fit. We need both. * A track ...

Director - Applied Analytics

Lindon, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analytics and Data Engineering both report to the same leader, so you'll be working closely with ... If you only manage, or only build, this probably isn't the right fit. We need both. * A track ...

Director - Applied Analytics

Lindon, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analytics and Data Engineering both report to the same leader, so you'll be working closely with ... If you only manage, or only build, this probably isn't the right fit. We need both. * A track ...

Data Science

Provo, UT · On-site

$110K - $130K/yr

This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ... writing testable Python, managing data lifecycles (pipelines, feature stores, monitoring ...

Affordability Risk Engineer

Provo, UT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... management milestones and affordability commitments. Overall, the Cost Modeler integrates technical ... Degree or advanced degree in Mathematics, Data Analytics, Economics, Industrial Engineering ...

Solutions Engineer, Remote

Orem, UT · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... A degree in Engineering, Business administration or related field required. * 3+ years of ...

Utilize advanced knowledge to analyze manufacturing data to drive continuous improvement, reduce ... Work closely with the Quality and Manufacturing Engineering team to implement corrective and ...

The Senior Manufacturing Engineer will be responsible for implementing statistical process control ... Utilize advanced knowledge to analyze manufacturing data to drive continuous improvement, reduce ...

Showing results 21-40

Manager Data Analytics Engineer information

See Salem, UT salary details

$40.3K

$117.3K

$160.6K

How much do manager data analytics engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data analytics engineer in Salem, UT is $117,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $124,400.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What cities near Salem, UT are hiring for Manager Data Analytics Engineer jobs?

Cities near Salem, UT with the most Manager Data Analytics Engineer job openings:

Data Engineer

Crumbl

Provo, UT • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. The successful candidate will be responsible for building and maintaining data pipelines using dbt and Prefect to support data-driven decision-making across the organization.
Responsibilities
  •  Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality
  • Develop and maintain documentation, including data dictionaries, workflow diagrams, and data flow diagrams
  • Ensure the integrity and security of data by implementing appropriate controls and monitoring
  • Optimize and tune data pipelines to ensure efficient processing and query performance
  • Implement and maintain data security policies and procedures, including access controls, encryption, and data masking
  • Design and implement data processing workflows using dbt and Prefect to support data science and machine learning applications
  • Develop and maintain data ingestion processes to bring data from external sources into the organization's data environment
  • Identify and address performance issues with data pipelines, and work with infrastructure and operations teams to optimize system performance
  • Conduct testing and validation of data pipelines to ensure they are functioning correctly and meeting business requirements
  • Participate in code reviews and contribute to the development of best practices for data engineering
  • Stay current with emerging technologies and trends in data engineering and data science, and identify opportunities to leverage them within the organization
Qualifications
  • Bachelor's or Master's degree in Data Science, Information Systems, or a related field
  • 3+ years building and maintaining production data pipelines (degree in a related field or equivalent experience)
  • Advanced SQL: window functions, CTEs, and query/performance tuning on large datasets
  • Strong Python for data engineering (modular, testable pipeline code)
  • Hands-on dbt experience: models, tests, macros, and incremental materializations
  • Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization
  • AWS data services (e.g., S3, Glue, Lambda)
  • Data quality and observability with dbt + Elementary
  • Infrastructure-as-code with Terraform and version control with Git
  • Dimensional data modeling (star/snowflake schemas, SCDs) and lakehouse concepts
  • Strong problem-solving skills and clear communication with analysts, scientists, and stakeholders

Benefits & Perks

- Medical, dental, and vision benefits
- 15 days PTO/year
- 10 paid holidays
- Paid parental leave
- Personal phone bill reimbursement
- Gym reimbursement
- Corporate DoorDash DashPass membership
- Regular company and team activities
- 401k with competitive matching contribution plan
- Excellent opportunities for career growth
- Work in a hyper-growth company

Crumbl was founded in 2017 by Jason McGowan & Sawyer Hemsley in Logan, Utah. It is now the fastest-growing cookie company in the nation with over 1000 locations in the USA and Canada. Crumbl is powered by cutting-edge technology, iconic branding, delicious desserts, and passionate people.

Crumbl HQ and franchisees provide employment for over 26,000 people across the United States, and all of our franchises are owned and operated by independent members of the local community.

Crumbl's 200+ unique cookie flavors rotate weekly and are served in our famous pink box! 

Crumbl is an equal opportunity employer. Crumbl provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Recruitment Agencies: Crumbl HQ doesn't typically partner with 3rd party recruitment resources. If we require assistance on this search we will contact selected partners directly; we do not accept unsolicited candidate submissions.
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.
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