ORS Partners

Data Engineer

Job Locations US-Radnor
Posted Date 3 weeks ago(11/16/2020 9:05 AM)
Client & Job Location : Address
201 King of Prussia Rd
Client & Job Location : Postal Code
19080
Job ID
2020-7624
# of Openings
1
Category
Information Technology
Type
Regular Full-Time

Overview

Program Background

We’re a large bank that’s reinventing banking by focusing on the unmet needs of millennial and underbanked consumers to provide frictionless and free banking with the full suite of financial products. We’re building a disruptive multi-partner distribution model, known as “Bank as a Service”, that places our innovative bank products in natural account opening moments as part of multiple startup banking brands. Our banking experience is built with a customer-centric digital-first model and requires industrial-strength financial technologies and innovation.

 

Position Accountability

Design, build, operate, and monitor our cloud data pipeline architecture by using the latest DataOps techniques to enable rapid deployment of new data analytics both internally and externally. Ensure the data pipeline infrastructure meets non-functional requirements such as scalability, performance, and reliability through effective architecture design and directing performance engineering efforts. This is a key role on the DataOps team that serves to connect our innovative digital banking product to the distinct business units with reliable, high-quality, insightful data.

 

Expected Outcomes

  • Cloud data pipelines are developed and supported in an efficient fashion to ensure large, complex data sets are effectively maintained and continuously augmented
  • Manual processes around data delivery are identified so that automation can be designed and implemented for greater scalability and organizational efficiency
  • Infrastructure is configured for optimal extraction, transform and loading of data from a wide variety of external sources
  • Cloud-based analytics tools will make extensive use of our highly reliable data infrastructure to provide actionable insights into customer acquisition, product performance, fraud detection and other key business performance metrics
  • Knowledge sharing is performed across all technology teams to increase business alignment, quality and efficiency
  • Partners are satisfied with our level of professionalism and technical expertise

Responsibilities

Position Responsibilities

  • This is a hands-on systems engineering role that focuses on building and deploying data pipelines within our Azure environment with the express purpose of organizing our complex data effectively while ensuring data integrity and security
  • Develop and maintain ETL workflows for both SQL Server and Azure Data Explorer systems while exhibiting leadership around integrating other potential technology solutions
  • Partner with the Data Architect to meet the functional needs of business operations, business product management, and disparate technical teams by delivering best-in-class data solutions
  • Collaborate with business units to help define our data analytics strategy with the goal of building and driving adoption of a new unified business intelligence platform
  • Continuously monitor our business for new opportunities to automate inefficient internal processes around data acquisition and availability
  • Identify, assess, track and mitigate issues and risks at multiple levels within the organization
  • Foster teamwork, communication, collaboration while managing competing priorities

Qualifications

Experience Required

  • Must have 5+ years of experience building and optimizing big data data pipelines, architectures and data sets within a cloud computing environment
  • Must have advanced working SQL knowledge and experience working with both relational databases in a query authoring capacity as well as big data technologies such as No SQL and unstructured data store
  • Must have expertise in DataOps techniques and modern cloud computing technologies, most importantly deep familiarity with the Azure stack
  • Must have previously built processes supporting data transformation, data structures, metadata, dependency and workload management
  • Previous work experience partnering with data analytics teams to increase the effectiveness of internal business intelligence systems preferred
  • Comfortable working with Python 3.x
  • Strong attention to detail including precise and effective customer communications and proven ability to manage multiple, competing priorities simultaneously
  • Superior verbal and written communications skills and history of excellent team collaboration
  • B.S. in Computer Science, Statistics, Informatics, Information Systems or other quantitative field

 

 

About BankMobile:

Established in 2015, BankMobile is a division of Customers Bank and America’s largest and fastest growing mobile-first bank offering checking and savings accounts. BankMobile provides an alternative banking experience to the traditional model and is focused on technology, innovation, easy-to-use products and education with the mission of being “customer-obsessed” and creating “customers for life.” The disruptive, multi-partner distribution model, known as “Bank-as-a-Service,” created by the executive team enables BankMobile to acquire customers at higher volumes and substantially lower expense than traditional banks. Its low-cost operating model enables it to provide low-cost banking services to low/middle-income Americans who have been left behind by the high-fee model of “traditional” banks. Today, BankMobile provides its “Bank-as-a-Service” platform to colleges and universities and currently serves nearly two million account-holders at 800 campuses (covering one out of every three students in the U.S.). BankMobile is operating as the digital banking division of Customers Bank, which is a Federal Reserve-regulated and FDIC-insured commercial bank.

 

For more information, please visit www.bankmobile.com. BankMobile, a division of Customers Bank, will provide consideration for employment to qualified applicants without regard to their race, color, religion, national origin, sex, protected veteran status or disability. BankMobile, a division of Customers Bank. Member FDIC - Equal Housing Lender - All Rights Reserved

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