Data Engineer (Python/Pyspark)

Zions Bancorporation • Midvale, UT

2d • Hybrid

About The Position

Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today. As a Data Engineer , you’ll provide your talents in contributing to the success of the Zions team by delivering all aspects of the software development lifecycle, including design, coding, integration testing, deployment, operations support, and documentation using Agile methodologies. Also, able to work independently, collaborate with cross-functional teams on technical understanding, handle multiple concurrent projects, with an ability to prioritize and manage projects effectively with changing priorities. Responsibilities: Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions. Enthusiasm and strong desire to learn and grow within the organization. Demonstrate strong analytical, organizational, and problem-solving skills. Strong focus on long-term strategy, application stability, refactoring, and re-usability. Analyzes and designs technical solutions to address business needs. Develops, tests, and modifies software to improve efficiency of data platforms and applications. Identifies, investigates, and proposes solutions to technical problems. Coordinate with data operations teams to deploy changes into production. Serve in the goalie rotation to support Test, QA, and Production environments. Other duties as assigned

Requirements

• Experience with Data Warehousing, data technologies and ETL solutions.
• 8+ years of experience in ETL, SQL, Linux scripting, programming languages like Python, and Big Data distributed systems.
• Experience in designing and implementing both batch and real-time ETL pipelines using Python/PySpark.
• Exposure in RDD’s with Python/Scala using Spark framework.
• Experience in automating data pipelines and deploying CI/CD workflows, with proficiency in Kafka for real-time data streaming and handling complex unstructured data.
• Requires a Bachelor's in Computer Science, Computer Engineering, or related field.
• A combination of education and experience may meet qualifications.

Nice To Haves

• Experience working with cloud or on-prem Big Data/MPP analytics platform like Google BigQuery, Azure Data Warehouse, or similar is preferred
• Experience working with Databricks Ecosystem – Delta Lake, Lake Flow Connect, SQL, Workflows, and Databricks Unity Catalog is preferred

Responsibilities

• Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
• Enthusiasm and strong desire to learn and grow within the organization.
• Demonstrate strong analytical, organizational, and problem-solving skills.
• Strong focus on long-term strategy, application stability, refactoring, and re-usability.
• Analyzes and designs technical solutions to address business needs.
• Develops, tests, and modifies software to improve efficiency of data platforms and applications.
• Identifies, investigates, and proposes solutions to technical problems.
• Coordinate with data operations teams to deploy changes into production.
• Serve in the goalie rotation to support Test, QA, and Production environments.
• Other duties as assigned

Benefits

• Medical, Dental and Vision Insurance - START DAY ONE!
• Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
• Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
• Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
• 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
• Mental health benefits including coaching and therapy sessions
• Tuition Reimbursement for qualifying employees
• Employee Ambassador preferred banking products

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees