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# ETL Engineer

- **Company:** Huntsman
- **Location:** Salt Lake City, UT, United States
- **Experience:** Experienced
- **Salary:** $60,000.0 - $90,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Java (Programming Language), Adaptable Database Systems, Agile Methodology, Amazon Web Services, Business Analytics Applications, Bash Shell, Big Data, Cloud Computing, Cloud Database, Cloud Engineering, Databases, System Configuration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), Unix Shell, Microsoft SQL Server, Oracle (Applications), Azure Data Lake, Shell Script, Software Engineering, SQL Databases, Data Streaming, Talend, Cloud Platform System, Apache Spark, Data Lakes, Vba Programming Language, Apache Kafka, Data Management, Restful APIs, Looker Analytics, Data Pipelines, Programming Languages
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7d07fe5896fdd369

## About the Role

The ideal candidate has a minimum of 3 to 5 years of real-world experience building and supporting production ETL solutions and a proven ability to deliver reliable, scalable data integration pipelines., * Proven experience designing and implementing ETL pipelines within cloud environments such as AWS or Azure Data Lake.

 * Strong proficiency in SQL databases including Microsoft SQL Server, Oracle, and SQL-based data warehouses; experience with dimensional modeling is highly desirable.
 * Expertise in programming languages such as Java, Python, VBA, Bash (Unix shell), and Shell Scripting for automation and pipeline development.
 * Hands-on knowledge of big data technologies including Hadoop ecosystem components (HDFS, Hive), Spark, Kafka or similar messaging systems.
 * Familiarity with business intelligence tools like Looker or equivalent visualization platforms for reporting purposes.
 * Experience with cloud databases and big data systems-understanding of cloud architecture principles for public cloud deployments is a plus.
 * Ability to design scalable data models that support efficient query management and analytics solutions.
 * Strong analysis skills with the ability to troubleshoot complex issues within large-scale data environments.
 * Knowledge of software development practices including Agile methodologies for iterative project delivery.

Join us if you're eager to leverage your technical expertise in a vibrant environment where innovation drives success!

## Description

We are seeking a dynamic and detail-oriented ETL (Extract, Transform, Load) Engineer to join our data engineering team. In this role, you will be responsible for designing, developing, and maintaining robust ETL pipelines that facilitate seamless data integration across diverse platforms and systems. Your expertise will enable the organization to harness big data insights, support business intelligence initiatives, and optimize data management processes in a cloud-enabled environment. If you thrive in a fast-paced setting and are passionate about transforming complex data into actionable insights, this opportunity is for you!, * Design, develop, and optimize scalable ETL pipelines using tools such as Informatica, Talend, or custom scripting with Python and Shell scripting to ensure efficient data flow from source systems to data warehouses or data lakes.

 * Collaborate with cross-functional teams to gather requirements and translate them into effective data models and architectures that support business intelligence tools like Looker and other visualization platforms.
 * Manage large-scale big data systems utilizing Hadoop, Spark, Apache Hive, and cloud-based solutions such as Azure Data Lake and AWS Public Cloud to process vast datasets reliably.
 * Implement data management best practices including dimensional modeling, data warehousing design, query management, and data modeling techniques to enhance query performance and data accuracy.
 * Develop RESTful APIs for seamless integration between different systems and facilitate real-time or batch data processing workflows.
 * Maintain comprehensive documentation of ETL processes, data flow diagrams, and system configurations to ensure transparency and ease of maintenance.
 * Conduct analysis of existing data pipelines to identify bottlenecks or inefficiencies and implement improvements aligned with Agile development methodologies.