Lead Data Engineer - IHM
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
TITLE: Lead Data Engineer
DUTIES: DFS Corporate Services LLC seeks Lead Data Engineer in Riverwoods, IL to design and develop data engineering frameworks leveraging open source technologies. Design and develop complex and critical data projects. Develop, implement, and support application codes and analytical models. Create and enhance data solutions that enable seamless integration and flow of data across the data ecosystem. Design and develop real time processing solutions. Promote a risk-aware culture to ensure efficient and effective risk and compliance management practices by adhering to required standards and processes.
REQUIREMENTS: Bachelor's degree or foreign equivalent in Information Technology, Computer Engineering, or a related field of study and four (4) years of experience in the job offered or related occupation: utilizing Ab Initio, Express IT, Metadata Hub, Spark, Python, Scala, Amazon Web Services (AWS) Cloud technologies, machine learning, React, Node Js, Docker, OpenShift, Kubernetes, Jenkins, GitHub, Redshift, Snowflake, PostgreSQL and No-SQL; developing and maintaining scalable data pipelines; building new API integrations to support continuing increases in data volume and complexity; collaborating with Analytics and Business teams to improve data models that feed business intelligence tools and increase data accessibility; performing data analysis required to troubleshoot data related issues; defining company data assets (data models), Spark, SparkSQL, and HiveSQL jobs to populate data models; designing data integrations and data quality framework; designing and evaluating open source and vendor tools for data lineage; working with business units and engineering teams to develop strategy for long term data platform architecture; streamlining data science workflows by adding value to product offering and building out internal or external customer lifecycle and retention models; developing data models and pipelines for research, reporting, and machine learning; building complex algorithms for data analysis; utilizing agile software development processes to improve backend systems; building data pipelines that clean, transform, and aggregate data from disparate sources; and writing APIs.
QUALIFIED APPLICANTS: Please apply directly through our website by clicking on “Apply Now.” No calls. Equal Opportunity Employer/disability/vet.
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.