About this opportunity
System One lists this Senior Data Engineer (Databricks & Cloud Analytics) opportunity in magna, Utah. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Title: Senior Data Engineer (Databricks & Cloud Analytics)
Location: Salt Lake City, Utah
Work Model: Hybrid – onsite and remote
Responsibilities
Design, develop, and support enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives.
Work hands-on with Databricks, Apache Spark (PySpark), Python, SQL, and Scala to build scalable data pipelines and analytics solutions.
Manage and implement Databricks ecosystem components, including Workspaces, Delta Lake, Unity Catalog, Delta Live Tables, Databricks SQL, MLflow, and Databricks Jobs.
Optimize SQL queries and improve query performance through tuning and best practices.
Design and implement ETL/ELT processes utilizing cloud platforms such as Azure Data Factory.
Work with event streaming technologies like Apache Kafka and integrate enterprise applications via REST APIs and web services.
Utilize Azure Data Lake Storage (ADLS Gen2) and other cloud storage solutions.
Collaborate within Linux environments, including shell scripting and command-line utilities.
Use source control tools like Git for collaborative development.
Participate in Agile teams practicing Scrum, Kanban, or SAFe methodologies.
Provide technical mentoring and leadership within data engineering teams.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field or equivalent professional experience.
At least 6 years of experience designing and supporting enterprise data platforms or cloud data solutions.
Extensive hands‑on experience with Databricks, Apache Spark, Python, SQL, and Scala.
Proven SQL development skills, including query optimization and performance tuning.
Experience designing ETL/ELT solutions with cloud platforms such as Azure Data Factory.
Knowledge of Kafka or similar event streaming systems.
Familiarity with cloud data storage (Azure Data Lake Storage or equivalents).
Proficiency using Git for version control.
Experience working in Linux environments and scripting.
Preferred: Infrastructure as Code (Terraform), CI/CD pipelines (Azure DevOps, GitHub Actions).
Strong analytical and troubleshooting skills.
Prior experience working in Agile methodologies.
Ability to prioritize multiple tasks independently and mentor team members.
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Worksite address
magna, UT, 84044, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.