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Data Pipeline Jobs in Utah (NOW HIRING)

Data Engineer

Provo, UT

$108K - $130K/yr

ESSENTIAL FUNCTIONS AND BASIC DUTIES • Architect, build, and maintain robust ETL/ELT pipelines to integrate data from core banking systems, lending platforms, digital banking channels, and third ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

ESSENTIAL FUNCTIONS AND BASIC DUTIES • Architect, build, and maintain robust ETL/ELT pipelines to integrate data from core banking systems, lending platforms, digital banking channels, and third ...

Data Engineer

Orem, UT · On-site

$100/hr

Design, build, and maintain scalable data pipelines and ELT workflows using open-source/self-hosted Airbyte and custom Python * Develop and maintain dbt models, tests, and documentation to transform ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

WHAT YOU'LL DO Data Pipeline Development & Optimization * Design, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services * Develop and ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

WHAT YOU'LL DO Data Pipeline Development & Optimization * Design, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services * Develop and ...

$115K - $139K/yr

You will work where distributed compute, storage, networking, Kubernetes, and production data pipelines meet. You must be comfortable tracing a failed workload from the application layer through ...

Data Platform Architecture -- BigQuery schema design, brand segmentation strategy, data pipeline oversight, and data warehouse governance * Analytics Service Delivery -- Ensure every team has timely ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making ...

Data Architect

Salt Lake City, UT · On-site +1

$61.25 - $78.75/hr

Partner withteammates forETL and data pipeline improvements * Providetechnical guidance on semantic layer design and analytics best practices * Support cross functional stakeholders with scalable ...

Data Engineer

Lehi, UT

$107K - $129K/yr

In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Partner with teammates for ETL and data pipeline improvements * Provide technical guidance on semantic layer design and analytics best practices * Support cross functional stakeholders with scalable ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Partner with teammates for ETL and data pipeline improvements * Provide technical guidance on semantic layer design and analytics best practices * Support cross functional stakeholders with scalable ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and OneLake. * Develop orchestration engines to manage document ingestion, tagging, chunking, and processing ...

Data Engineer

Draper, UT

$107K - $128K/yr

Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and OneLake. * Develop orchestration engines to manage document ingestion, tagging, chunking, and processing ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs. * Build and optimize data models, including advanced dimensional ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs. * Build and optimize data models, including advanced dimensional ...

Data Engineer

Provo, UT

$109K - $131K/yr

Troubleshoot data pipeline and integration issues with support from senior engineers. Trace data through systems and work toward solutions. * Document data architectures, integration patterns, and ...

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Troubleshoot data pipeline and integration issues with support from senior engineers. Trace data through systems and work toward solutions. * Document data architectures, integration patterns, and ...

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Data Pipeline information

What does a data pipeline do?

A Data Pipeline job involves designing, building, and maintaining systems that automate the flow of data from various sources to storage and processing destinations. It includes extracting data from databases, APIs, or streaming sources, transforming it into the desired format, and loading it into data warehouses, lakes, or analytics platforms. The role requires expertise in data engineering, ETL (Extract, Transform, Load) processes, cloud computing, and workflow orchestration tools. Strong knowledge of programming languages like Python or SQL and experience with frameworks like Apache Airflow or Spark is often essential. The goal is to ensure data is efficiently collected, processed, and made available for analysis and decision-making.

What skills and qualifications are needed for a data pipeline?

To excel in a Data Pipeline role, you need strong skills in data engineering, programming (often Python, Java, or Scala), and experience with ETL (Extract, Transform, Load) processes, usually supported by a degree in computer science or a related field. Familiarity with technologies such as Apache Spark, Hadoop, Airflow, Kafka, and cloud platforms like AWS or GCP, along with relevant data engineering certifications, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are critical for success in this position. These technical and interpersonal skills are essential for building, maintaining, and optimizing reliable data workflows that support business decision-making.

What are common challenges faced in data pipeline roles, and how are they addressed?

Professionals in Data Pipeline roles often encounter challenges such as handling large volumes of rapidly changing data, ensuring data quality, and minimizing downtime during data transfers. Addressing these issues typically involves implementing robust error-handling processes, automating data validation steps, and using scalable, resilient technologies. Collaboration with data analysts, software engineers, and business stakeholders is key to ensuring that pipelines meet organizational needs and remain flexible with evolving requirements. Continuous learning and adapting to new tools or frameworks also help Data Pipeline engineers stay ahead in this dynamic field.

Are data pipeline jobs in demand?

Data pipeline jobs are in high demand due to the increasing need for data integration, processing, and management across industries. Professionals with skills in tools like Apache Airflow, Spark, and cloud platforms are particularly sought after, and the role often requires knowledge of data engineering and scripting. The demand is expected to grow as organizations continue to rely on data-driven decision making.

What are the most commonly searched types of Data Pipeline jobs in Utah?

The most popular types of Data Pipeline jobs in Utah are:

Infographic showing various Data Pipeline job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Utah Community Credit Union
Commercial Banking • 501 - 1,000 employees

$108K - $130K/yr

Full-time

Posted 26 days ago


Job description

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working closely with business intelligence analysts, compliance teams, and technology leadership, this role requires both technical depth and the ability to translate complex data challenges into reliable, scalable solutions within a regulated financial environment.

ESSENTIAL FUNCTIONS AND BASIC DUTIES

• Architect, build, and maintain robust ETL/ELT pipelines to integrate data from core banking systems, lending platforms, digital banking channels, and third-party vendors

• Design and manage the credit union’s data warehouse and data lake, including schema design, partitioning strategies, and performance optimization

• Develop and enforce data quality frameworks, including automated testing, validation rules, and alerting for pipeline anomalies

• Lead the implementation of data modeling best practices (dimensional modeling, data vault, or similar) to support scalable analytics

• Collaborate with data analysts, compliance officers, and business stakeholders to define data requirements and deliver trusted data products

• Manage orchestration and scheduling of data workflows using tools such as Matillion, Snowflake, or equivalent

• Evaluate, implement, and maintain cloud data infrastructure on Snowflake or Azure, including compute, storage, and networking resources

• Ensure all data processes comply with applicable regulations, including NCUA guidelines, BSA/AML requirements, and GLBA data privacy standards

• Partner with the IT security team to enforce data access controls, encryption standards, and audit logging

• Mentor junior data engineers and analysts, providing technical guidance and code reviews

• Drive adoption of DataOps practices, including CI/CD for data pipelines, version control, and documentation standards

• Support data migration efforts during platform transitions, core system upgrades, or mergers and acquisitions

• Works a regular and predictable schedule. 

QUALIFICATIONS

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent professional experience)

• 3–5 years of hands-on experience in data engineering, data infrastructure, or a closely related role

• Advanced proficiency in SQL and experience with large-scale relational and columnar databases (e.g., PostgreSQL, Redshift, Snowflake, BigQuery)

• Strong Python skills for data pipeline development and automation

• Demonstrated experience designing and maintaining ETL/ELT workflows using tools such as dbt or Matillion

• Working knowledge of at least one major cloud platform (Snowflake, AWS, Azure, or GCP) and associated data services

• Solid understanding of data warehousing concepts including dimensional modeling and schema design

• Experience implementing data quality monitoring, lineage tracking, and observability practices

• Strong communication skills with the ability to work effectively across technical and non-technical audiences

PREFERRED QUALIFICATIONS

• Experience in a regulated financial services environment such as credit unions, banks, or fintech companies

• Familiarity with credit union core banking platforms such as Symitar (Episys), Jack Henry, or FiServ

• Knowledge of data governance frameworks, or master data management

• Exposure to machine learning pipelines and feature engineering for predictive models

• Experience with BI platforms such as Power BI, Tableau, or Looker

• Relevant certifications such as AWS Certified Data Analytics, Snowflake SnowPro, or dbt Certified Developer

• Familiarity with NCUA examination processes or financial regulatory reporting (e.g., HMDA, Call Report data)