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Python Sql Jobs in Salt Lake City, UT (NOW HIRING)

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Design, develop, and maintain scalable data pipelines using Python, SQL, PySpark, and modern data engineering frameworks. * Build and optimize data lake, lakehouse, warehouse, data mart, and semantic ...

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Python Sql information

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$12

$56

$83

How much do python sql jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for python sql in Salt Lake City, UT is $56.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.42 per hour, depending on experience, location, and employer.

What is a Python SQL?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

What are the key skills and qualifications needed to thrive in the Python SQL position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

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

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

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

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

Python Sql jobs near you
Infographic showing various Python Sql job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,995 per year, or $56.7 per hour.

Sr. Data Engineer

Login Consulting Services Inc.

Salt Lake City, UT

$111K - $133K/yr

Contractor

Re-posted 2 days ago

Job description

A leading Consulting Firm is seeking a Senior Data Engineer (Databricks & Cloud Analytics) for a 6 month contract to hire role onsite in Salt Lake City, UT.
Are you passionate about building modern data platforms that enable organizations to make smarter, faster decisions? Do you thrive on solving complex engineering challenges using cloud technologies, big data frameworks, and modern analytics platforms?
The client is seeking an experienced **Senior Data Engineer (Databricks & Cloud Analytics)** to join our growing team in **Salt Lake City, UT**. In this role, you will partner with solution architects, business analysts, data scientists, and client stakeholders to design, develop, and support enterprise-scale data solutions that power mission-critical business initiatives for commercial and public sector clients.
As a trusted technical consultant, you'll leverage technologies including **Databricks, Apache Spark (PySpark), Azure Data Factory, Azure Data Lake, Kafka, Python, SQL, Scala, and cloud-native services** to build high-performance data pipelines, modern integrations, and scalable analytics platforms.
This is an excellent opportunity for an engineer who enjoys combining technical expertise with business problem-solving while working in a collaborative Agile environment focused on innovation, quality, and continuous improvement.
This position is based onsite at a client location in the **Salt Lake City, UT** area.
Your future duties and responsibilities
How you'll make an impact
As a Senior Data Engineer, you will play a critical role in designing, implementing, and supporting secure, scalable, and high-performing enterprise data platforms.
Responsibilities include:
* Design, develop, test, deploy, and maintain enterprise data engineering solutions using modern cloud and big data technologies.
* Design and implement scalable ETL/ELT pipelines utilizing **Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory**.
* Build high-performance data ingestion, transformation, and integration frameworks supporting enterprise analytics and reporting.
* Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.
* Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives.
* Build and integrate RESTful APIs, event-driven architectures, and legacy SOAP services to facilitate seamless enterprise data exchange.
* Develop and maintain streaming and messaging solutions using **Apache Kafka**.
* Monitor, troubleshoot, and optimize production data pipelines while performing root cause analysis and implementing long-term solutions.
* Implement data quality, governance, security, and performance best practices across enterprise platforms.
* Manage source code using Git while following CI/CD and enterprise DevOps best practices.
* Collaborate with Solution Architects, Product Owners, Business Analysts, and cross-functional engineering teams to translate business requirements into technical solutions.
* Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.
* Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.
* Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives.
Required qualifications to be successful in this role
What you'll bring
We're looking for an experienced engineer who enjoys solving complex technical challenges while delivering modern cloud-based data solutions.
* Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent professional experience)
* 6+ years** of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives
Strong hands-on experience with:
* Databricks
* Apache Spark (PySpark)
* Python
* SQL
* Scala
Experience working with the Databricks ecosystem, including:
* Databricks Workspaces
* Delta Lake
* Unity Catalog
* Delta Live Tables (DLT)
* Databricks SQL
* MLflow
* Databricks Jobs
* Strong SQL development experience, including query optimization and performance tuning
* Experience designing and implementing ETL/ELT solutions using Azure Data Factory or comparable cloud integration platforms
* Experience with Apache Kafka or other event streaming technologies
* Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services
* Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms
* Experience using Git for source code management and collaborative software development
* Experience working within Linux environments, including shell scripting and command-line utilities
* Familiarity with Infrastructure as Code (IaC) tools such as Terraform is preferred
* Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar DevOps platforms is preferred
* Strong analytical, troubleshooting, and problem-solving skills
* Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies
* Demonstrated ability to manage multiple priorities while delivering high-quality solutions
* Proven ability to work independently while mentoring teammates and contributing to technical leadership
Desired Skills:
The ideal candidate will also possess experience with one or more of the following:
* Microsoft Azure cloud services
* Azure Synapse Analytics
* Microsoft Fabric
* Power BI
* Data governance and metadata management
* DataOps and MLOps practices
* Enterprise data warehousing
* Master Data Management (MDM)
* Financial services or public sector data environments
Communication & Collaboration
Successful candidates will demonstrate the ability to:
* Clearly communicate complex technical concepts to both technical and non-technical audiences.
* Collaborate effectively with architects, developers, business analysts, product owners, and client stakeholders.
* Build trusted relationships across cross-functional teams while delivering innovative, high-quality solutions.
* Foster a culture of knowledge sharing, continuous learning, and engineering excellence.