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Senior Python Data Analyst Jobs in Utah (NOW HIRING)

Data Analyst Assistant

American Fork, UT ยท On-site

$20 - $22/hr

Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. * Execute SQL queries for database retrieval, data manipulation, and integration tasks. * Assist in ...

Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. * Execute SQL queries for database retrieval, data manipulation, and integration tasks. * Assist in ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues ...

Sr. Data Analyst

Salt Lake City, UT ยท On-site +1

$83K - $105K/yr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Work with senior leaders and other stakeholders within various departments at Lucid * Identify and ...

Sr. Data Analyst

Salt Lake City, UT ยท On-site

$83K - $105K/yr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Work with senior leaders and other stakeholders within various departments at Lucid * Identify and ...

I have an opportunity for "Data Analyst" and looking for a candidate who can join Immediately if ... Best Regards Syed Imran Sr Technical Recruiter 224-296-3522 | syed@navtechusa.com NAVTECH INC ...

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Use Python/R and VBA to create and send regular performance reports, focusing on backlog/billing ...

You will support the analysis of medical and pharmacy claims data to help inform contract ... Working knowledge of SQL for data querying; familiarity with Python or R is a plus. * Experience ...

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Senior Python Data Analyst information

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What are the most commonly searched types of Python Data Analyst jobs in Utah? The most popular types of Python Data Analyst jobs in Utah are:
What cities in Utah are hiring for Senior Python Data Analyst jobs? Cities in Utah with the most Senior Python Data Analyst job openings:
Infographic showing various Senior Python Data Analyst job openings in Utah as of July 2026, with employment types broken down into 69% Full Time, 7% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.
Python Data Engineer / API Developer - Salt Lake City, UT - day 1 onsite - Long term

Python Data Engineer / API Developer - Salt Lake City, UT - day 1 onsite - Long term

Inficare Technologies

Salt Lake City, UT โ€ข On-site

$48.50 - $67/hr

Full-time

Posted 20 days ago


Job description

Role : Python Data Engineer / API Developer
Location: Salt Lake City Its day 1 onsite
Duration: Long term
Key: Python, PySpark, GCP, API development
Role Overview
We are seeking a highly skilled Python Data Engineer / API Developer with strong hands-on experience in PySpark, cloud-based data engineering on GCP, and API development. The ideal candidate should have expertise in building scalable data pipelines, working with distributed clusters, and developing secure APIs for enterprise-grade applications.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines for batch and/or real-time processing.
  • Build and optimize PySpark applications running on distributed clusters.
  • Develop secure and scalable Python-based APIs.
  • Work with cloud-native GCP services including BigQuery, Composer, DAGs, and Cloud Storage Buckets.
  • Implement data quality checks, validations, and monitoring frameworks within pipelines.
  • Collaborate with cross-functional teams including data analysts, BI teams, and platform engineers.
  • Ensure performance optimization, reliability, and security best practices across solutions.

Required Skills & Qualifications
  • Strong hands-on experience with PySpark and distributed cluster computing.
  • Proven experience in building Python APIs with a focus on security and scalability.
  • Strong knowledge of API frameworks such as FastAPI or Flask.
  • Hands-on experience with Google Cloud Platform (GCP) services:
    • BigQuery
    • Composer
    • DAG orchestration
    • Cloud Storage Buckets
  • Experience in building robust batch and/or real-time data pipelines.
  • Strong understanding of data quality frameworks and practices.

Preferred Skills
  • Experience with BI and reporting tools such as:
    • Power BI
    • MicroStrategy
  • Familiarity with CI/CD pipelines and DevOps practices is an added advantage.
  • Exposure to data governance and monitoring tools is a plus.