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VP, Data Engineer & Developer
Job in
Malvern, Hot Spring County, Arkansas, 72104, USA
Listed on 2025-12-28
Listing for:
Customers Bancorp Inc
Full Time
position Listed on 2025-12-28
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Malvern Office time type:
Full time posted on:
Posted 3 Days Agojob requisition :
REQ-At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans.
By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives.
Must be legally eligible to work in the United States without sponsorship, now or in the future, to be considered.
Founded in 2009, Customers Bank is a super-community bank with over $22 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with.
** We get you further, faster.
**** Focused on you:
We
** provide every customer with a single point of contact. A dedicated team member who’s committed to meeting your needs today and tomorrow.
** On the leading edge:
** We’re innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead.
** Proven reliability:
** We always ground our innovation in our deep experience and strong financial foundation, so we’re a partner you can trust.
*
* What You’ll Do:
** We are seeking a talented and experienced Data Engineer and Developer to join our Data Management and Analytics team at Customers Bank. As a Data Engineer and Developer, you will play a pivotal role in delivering impactful insights by designing and building data pipelines, integrating multiple platforms (Snowflake, Salesforce, nCino), developing data solutions, and solving challenging data problems to support our rapidly growing business.
** Responsibilities:
*** Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, DBT, and Microsoft Fabric to stage and integrate data into our Enterprise Data Warehouse.
* Develop integration solutions between Snowflake, Salesforce, Workday, and nCino, ensuring data consistency, reliability, and compliance with business needs.
* Proactively identify opportunities to reduce data flow complexity and risk while proposing innovative, best-in-class solutions.
* Implement data engineering solutions following guiding principles and best practices when detailed requirements are unavailable.
* Monitor and maintain production ETL processes and resolve support issues, ensuring operational excellence and performance.
* Develop objects (tables, views, stored procedures, triggers) in Snowflake along with tasks to support data processes.
* Work with BA’s and the business to refine requirements and deliver against those requirements within the timeframe committed.
* Manage work tasks and update status on work tasks on ADO (Azure Dev Ops), communicate status and updates to management, stakeholders and peers to deliver work products on time.
* 5–7 years of experience as a data engineer supporting enterprise data warehouse solutions.
* Hands-on experience with Azure Data Factory, DBT,and Microsoft Fabric for developing modern ETL/ELT pipelines.
* Experience with Talend, and PowerBI
* Experience at banking institutions or within the financial services industry.
* Hands-on experience with Snowflake for data warehousing and analytics.
* Proven experience integrating enterprise systems, particularly Salesforce and nCino.
* Proficient in SQL, Power Shell, and Python for data transformation and scripting.
* Demonstrated critical thinking mindset with the ability to independently drive end-to-end solutioning, even in the absence of detailed requirements.
* Strong knowledge of data governance/controls, data architecture, and data modeling principles.
* Excellent communication and collaboration skills to translate business requirements into scalable technical solutions.
* Strong analytical and problem-solving abilities,…
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