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Senior Data Engineer Python Jobs in Utah (NOW HIRING)

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ... Writing sophisticated, production-grade Python code to automate data orchestration and processing.

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ... Writing sophisticated, production-grade Python code to automate data orchestration and processing.

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ... Writing sophisticated, production-grade Python code to automate data orchestration and processing.

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python ...

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, develop, and maintain scalable data ingestion and transformation pipelines using Python ...

T. is actively seeking a Sr. Data Engineer for an immediate full-time opportunity with our industry ... Programming languages such as Python, Scala, Java, or similar * CI/CD pipelines and DevOps ...

Senior Data Engineer

Draper, UT · On-site

$99K - $134K/yr

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart Senior Data Engineer Consultant to join our world-class team and continue building out our best-in ...

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python ...

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

The Senior Data Engineer will design, build, and maintain secure, high-performing data platforms ... Python, Scala, Java, VB (or similar) * CI/CD & DevOps: Azure DevOps, CI/CD pipelines

Sr. Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... in Python programming language preferably using PySpark Software development experience working ... Passion for creating Intelligent data pipelines that customers love to use. Special Consideration ...

Sr. Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... in Python programming language preferably using PySpark Software development experience working ... Passion for creating Intelligent data pipelines that customers love to use. Special Consideration ...

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will ... Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ...

Sr Data Engineer

Lehi, UT

$107K - $129K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will ... Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ...

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Professional experience writing production-ready Python code that leverages modern software ... Experience working on a team of developers, maintaining a shared codebase, and having your code ...

... engineers and developers to build and deploy interactive dashboards, providing the best, most ... Workplace Python coding experience, including a good knowledge of the principal Python Data Science ...

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Senior Data Engineer Python information

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, and why are they important?

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.

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.

How does a Senior Data Engineer specializing in 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 are popular job titles related to Senior Data Engineer Python jobs in Utah? For Senior Data Engineer Python jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer Python jobs in Utah look for? The top searched job categories for Senior Data Engineer Python jobs in Utah are:
What cities in Utah are hiring for Senior Data Engineer Python jobs? Cities in Utah with the most Senior Data Engineer Python job openings:
Infographic showing various Senior Data Engineer Python job openings in Utah as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior Data Engineer

Fidelity Investments

Salt Lake City, UT • On-site

$102K - $139K/yr

Full-time

Posted 8 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 139 rated financial services


Job description


Position Description:
Designs and implements scalable data pipelines, optimizes workflows for performance and reliability, and ensures compliance with data governance policies. Programs testable and maintainable software solutions using Object Oriented (OO) Python programming and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Develops and designs functional programming, emerging technologies, and messaging frameworks, using Kafka. Implements business rule management systems in Python or Java with Drools, Pyke, and Nools. Leverages quantitative, statistics, and econometrics (including probability, linear regression, time series data analysis, and optimizations) techniques and methods. Programs testable and maintainable software solutions using Splunk, Snowflake, YugabyteDB, Aerospike, and S3 database management systems. Employs Agile development lifecycle methodologies (Kanban and SCRUM).
Primary Responsibilities:
  • Develops software system testing and validation procedures, programming, and documentation.
  • Develops original and creative technical solutions to on-going development efforts.
  • Designs applications or subsystems on major projects and for/in multiple platforms.
  • Performs technical and functional analysis for data engineering projects.
  • Supports and performs all phases of testing leading to implementation.
  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
  • Responsible for post-installation testing of any problems.
  • Establishes project plans for projects of moderate scope.
  • Works on complex assignments and often multiple phases of a project.
  • Collaborates with teams to support data-centric initiatives.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing cloud-native, event-driven, data platform architecture using Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and Airflow in enterprise environments.
  • DE building and optimizing data lakes, warehouses, and models, using Snowflake, Redshift, SQL, and Denodo to access federated databases (Oracle, DB2, Teradata, MongoDB, PostgreSQL, MSSQL, Yugabyte, and Aerospike); and enabling scalable transformations, performance tuning, and cross-platform insights.
  • DE developing Continuous Integration and Continuous Delivery (CI/CD) pipeline development and data workflow orchestration, using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within the Software Development Life Cycle (SDLC), to automate ingestion, transformation, validation, and monitoring for data integrity, Agile delivery, and operational efficiency.
  • DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights using PowerBI, Tableau, or Quicksight; and developing scalable solutions using Java, Shell, PL/SQL, Talend, Alteryx, Informatica, Unix, and Linux.

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Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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