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Commission Python Data Analysis Jobs in Salt Lake City, UT

... analysis to support client recommendations and insights. The candidate should have a solid ... of Python & data and plotting libraries, with a keen interest in developing their programming ...

... analysis to support client recommendations and insights. The candidate should have a solid ... of Python & data and plotting libraries, with a keen interest in developing their programming ...

... analysis to support client recommendations and insights. The candidate should have a solid ... of Python & data and plotting libraries, with a keen interest in developing their programming ...

Data Analysis and Exploration: Conduct data exploration and preliminary analysis to support the ... Experience with scripting languages like Python for data manipulation or automation. * A strong ...

Utilize Python scripting and core data libraries (e.g. Pandas, SQLAlchemy, pyodbc) to optimize data processing and analysis * Act as data steward by governing and accounting for inbound and outbound ...

... Python, or other statistical software programs. Qualifications: * Currently pursuing a bachelor's degree or higher in Information Systems, Data Analytics, Economics, Statistics, Computer Science ...

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Infographic showing various Commission Python Data Analysis job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

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

Salt Lake City, UT โ€ข On-site

Inficare Technologies
Recruiting and Staffing Servicesย โ€ขย 51 - 200 employees

$48.50 - $67/hr

Full-time

Re-posted 6 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.