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Senior Python Data Analyst Jobs in Salt Lake City, UT

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Collaborate with data analysts, data scientists, ML engineers, business stakeholders, and AI ... Design, develop, and maintain scalable data pipelines using Python, SQL, PySpark, and modern data ...

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... Collaborate with senior team members on complex client data requests and escalations * Support ...

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... Collaborate with senior team members on complex client data requests and escalations * Support ...

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... Collaborate with senior team members on complex client data requests and escalations * Support ...

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

... analyze complex datasets, and develop, deploy, and monitor data‑driven solutions. Essential ... Mastery of programming in Python or R. * Experience with data visualization tools (DOMO, AWS ...

This individual will help drive data governance, data quality, and scalable analytics solutions ... Solid programming skills with Python or other programming languages. * Experience with GitLab or ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... analytic software tools or languages (e.g., SAS, SPSS, R, Python) Demonstrated skill at data ...

Showing results 41-60

Senior Python Data Analyst information

See Salt Lake City, UT salary details

$53.2K

$96K

$131.1K

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

As of Aug 11, 2026, the average yearly pay for senior python data analyst in Salt Lake City, UT is $96,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $105,000.00 per year, depending on experience, location, and employer.

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 popular job titles related to Senior Python Data Analyst jobs in Salt Lake City, UT? For Senior Python Data Analyst jobs in Salt Lake City, UT, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analyst jobs in Salt Lake City, UT look for? The top searched job categories for Senior Python Data Analyst jobs in Salt Lake City, UT are:
What cities near Salt Lake City, UT are hiring for Senior Python Data Analyst jobs? Cities near Salt Lake City, UT with the most Senior Python Data Analyst job openings:

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
RevSpring is a company focused on providing innovative data solutions, and they are seeking a Senior Software Engineer specializing in Big Data and data foundations. The role involves designing and optimizing data pipelines, developing backend services, and ensuring data performance and quality in a healthcare context.
Responsibilities:
• Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
• Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
• Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
• Optimize Data & Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing — optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
• Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
• Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.
Qualifications:
Required:
• Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses.
• 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
• Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output.
• Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
• Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms.
• Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
• Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
• Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
• Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.
• Bachelor’s Degree
• 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design).
• 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
• Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations.
• Ability to write reports, business correspondence and procedure manuals.
• Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Preferred:
• BigQuery experience is a plus.
• Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
• 3+ years of GCP experience preferred.
Company:
RevSpring is a provider of revenue cycle technology services offering data analytics, multi-channel customer communications. Founded in 1997, the company is headquartered in Wixom, USA, with a team of 501-1000 employees. The company is currently Late Stage.