Data Engineer - Midvale, UT at Zions Bancorporation

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Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehousing, ETL Solutions, SQL, UNIX/Linux Scripting, Big Data, Python, PySpark, Data Migration, Data Analysis, Database Modeling, Performance SQL Tuning, Greenplum, Oracle, SQL Server, Hive, Kafka

Industry

Banking

Description

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 with the best experience possible for over 150 years. Help us transform our workforce of the future, today. We are seeking a Data Engineer to join Zions Bancorporation. 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. As a Data Engineer will work independently, collaborate with cross-functional teams on technical understanding, handle multiple concurrent projects, prioritize and manage projects effectively with changing priorities. Join us to make a meaningful difference in a collaborative and forward-thinking environment. Key responsibilities include: · 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 Qualifications: Must-have’s · Experience with Data Warehousing, data technologies and ETL solutions. · Bachelor's in Computer Science, Computer Engineering, or related field required. · 4+ years of experience in ETL (IBM Datastage preferred), SQL, UNIX/Linux scripting, and Big Data distributed systems. · 3+ years of experience in programming languages like Python, orchestration tools and processes. · 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. · Extensive experience in data migration, data analysis, data transformations, conversion, interface, large volume data loading (ETL techniques), database modeling, and performance SQL tuning. · Experience in leveraging database tools to develop DDL scripts, stored procedures, and functions to create and alter database objects. · Experience working with Greenplum, Oracle, SQL Server, Hive and delimited text files would be helpful. Preferred skills · Experience working with cloud or on-prem Big Data/MPP analytics platform like Google BigQuery, Azure Data Warehouse, or similar · Experience working with Databricks Ecosystem – Delta Lake, Lake Flow Connect, SQL, Workflows, and Databricks Unity Catalog. · Experience in automating data pipelines and deploying CI/CD workflows, with proficiency in Kafka for real-time data streaming and handling complex unstructured data. Visa Sponsorship: This Data Engineer position is currently not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility. Location: This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT. The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus will be the company’s primary technology and operations center. This modern and environmentally friendly technology center will enable Zions to continue to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as: · Electric vehicle charging stations and proximity to Historic Gardner Village UTA TRAX station. · At least 75%25 of the building is powered by on-site renewable solar energy. · Access to outdoor recreation, parks, trails, shareable bikes and locker rooms. · Large modern cafe with a healthy and diverse menu. · Healthy indoor environment with ample natural light and fresh air. · LEED-certified sustainable building that features include the use of low VOC-emitting construction materials. 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 Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

Responsibilities

The Data Engineer will partner with various stakeholders to develop and deploy enterprise-grade platforms that enable data-driven solutions. Responsibilities include analyzing technical solutions, developing software to improve data platforms, and coordinating with data operations teams for production changes.