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Senior Data Engineer Python Jobs in Salt Lake City, UT

Experience using PySpark, Apache Spark, Python, or comparable data-processing technologies ... From software engineers who command the latest AI technology to business development reps who help ...

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... or Python programming languages OR * High School Diploma/GED from AND 11 years of software ...

Data Engineer

Salt Lake City, UT · On-site

$100K - $135K/yr

The Data Engineer will help scale the data foundations that power the business. This individual ... Exceptional Python and SQL skills * Extensive experience with orchestration frameworks (Prefect ...

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... or Python programming languages OR * High School Diploma/GED from AND 11 years of software ...

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 ...

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 ... Strong development skills using Python, PySpark, and SQL. * Experience with orchestration tools ...

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 ... Strong development skills using Python, PySpark, and SQL. * Experience with orchestration tools ...

Senior Data Platform Engineer

Lehi, UT · On-site

$99K - $135K/yr

Collaborate with Software Engineers, Data Engineers, Product, Marketing, and other departments ... Deep expertise in Go, Java, Python, Ruby, or Scala; Go preferred * Hands-on experience designing ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Work alongside software developers and software engineers to translate algorithms into commercially ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... These teams typically include statisticians, computer scientists, software developers, engineers ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue ... Solid engineering habits: Git, readable code, and a willingness to write things down. Additional ...

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue ... Solid engineering habits: Git, readable code, and a willingness to write things down. Additional ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue ... Solid engineering habits: Git, readable code, and a willingness to write things down. Additional ...

Showing results 41-60

Senior Data Engineer Python information

See Salt Lake City, UT salary details

$78.4K

$122.2K

$169.3K

How much do senior data engineer python jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior data engineer python in Salt Lake City, UT is $122,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $139,400.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are popular job titles related to Senior Data Engineer Python jobs in Salt Lake City, UT?

For Senior Data Engineer Python jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Python jobs in Salt Lake City, UT look for?

The top searched job categories for Senior Data Engineer Python jobs in Salt Lake City, UT are:

Infographic showing various Senior Data Engineer Python job openings in Salt Lake City, UT as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,249 per year, or $58.8 per hour.

IAR Senior Data Analyst

Salt Lake City, UT

Western Governors University
Colleges, Universities, and Professional Schools • 5 - 10K employees

$91K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz


Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Professional 310Pay Range: $91,000.00 - $136,400.00

Job Description

At WGU, data is a catalyst for better outcomes. As an IAR Senior Data Analyst, you will transform complex information into meaningful insights that help leaders make informed decisions, improve operations, and enhance the student experience. This role partners closely with academic leaders, data engineers, product teams, finance, and other stakeholders to solve challenging business problems through data storytelling, analytics, and reporting.
This position is ideal for someone who combines strong technical expertise with the ability to communicate insights to executive audiences. You are equally comfortable writing complex SQL, developing business intelligence solutions, collaborating on data pipelines, and presenting actionable recommendations to senior leaders.
What You'll Do
  • Partner with stakeholders across academic delivery, reporting, data engineering, and executive leadership teams to identify analytics needs and translate business questions into technical requirements.
  • Develop, maintain, and enhance dashboards, reports, and visualizations that provide actionable insights and support key business decisions.
  • Perform complex analyses across multiple data domains to answer strategic business questions, evaluate initiatives, and support planning activities such as quarterly business reviews and operating plans.
  • Collaborate with Data Engineering teams on ETL/ELT processes, data pipelines, and data quality initiatives to improve the reliability and accessibility of university data.
  • Identify, investigate, and resolve complex data issues while helping establish standards and best practices that improve data quality across the organization.
  • Combine data analysis, visualization, and storytelling techniques to communicate findings effectively to technical and non-technical audiences, including executive leadership.
  • Drive projects and analytics initiatives with a high degree of autonomy while mentoring peers through knowledge sharing and constructive feedback.
What You'll Bring
  • Bachelor's degree in a related discipline.
  • 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
  • Advanced SQL proficiency, including complex queries, subqueries, joins, aggregations, window functions, common table expressions (CTEs), data manipulation, and performance optimization.
  • Strong experience building reports, dashboards, and visualizations using Tableau.
  • Experience working with analytics engineering concepts, ETL/ELT processes, data pipelines, and data quality initiatives.
  • Ability to read, understand, and work with PySpark code in support of analytics and data engineering efforts.
  • Experience communicating complex insights to partners, stakeholders, and senior leaders through presentations, meetings, workshops, and written communications.
  • Knowledge of data modeling concepts including conceptual, logical, dimensional, star schema, and snowflake schema design.
  • Experience with descriptive statistics, causal analysis, and inference.
  • Proficiency with Microsoft Office applications, including advanced Excel.
  • Familiarity with project management methodologies such as Agile, Waterfall, or SDLC frameworks.
  • Ability to perform with a high level of autonomy, reliability, self-direction, and sound judgment while balancing multiple priorities.
Bonus Points
  • Experience with Databricks.
  • Experience developing solutions in Power BI.
  • Exposure to Databricks Genie or other AI-assisted coding and analytics tools.
  • Experience using Jira, Confluence, Miro, Visio, Lucidchart, or similar collaboration and diagramming platforms.
  • Previous experience supporting executive reporting, strategic planning, or high-visibility business reviews.
Experience in Lieu of Education
An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements.
What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Introductory call
  • Hiring manager interview
  • Technical Panel interview
  • Leadership Interview
Work Location
This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.


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