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:

At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.

The Data and Analytics Engineering organization is responsible for building the data ecosystem of Discover across all Lines of Business. This involves a range of applications that allow for data curation, ingestion, empower large scale ELT transactions and data egress.

On a day-to-day basis, you’ll be part of a small, close-knit team of engineers that are agile, driven and highly collaborative. You’ll help analyze application performance trends, propose ideas and solutions during sprint planning with your team, implement big ideas and then measure the results. Engineers on our team have moved on to bigger roles within Discover and are influencing decision making at various levels.

Our team is responsible for architecting and building the platform that empowers Data Engineering. The platform we build directly impacts the quality of data that is available to build models and campaigns. The team focuses on the automation of code generation and deployment across various platforms, trying to figure out the best way to interact with disparate systems and maintain optimum performance.

Responsibilities

Analyze, design, program, test, and deploy new user stories and features with high quality (security, reliability, operations) to production. Understands the software development lifecycle and leverages critical thinking skills to properly evaluate features and functionality.
Guides early-career engineers by providing learning tasks as well as work related tasks, directs the work of emerging talent, and helps them continue to grow in their technical skillset through mentorship.
Has an oversight on application, system, and architecture design decisions and guides team to achieve key results for products assigned to them.
Remediates issues using engineering principles and creates proactive design solutions for potential failures to ensure high reliability of technical solutions.
Achieves team commitments (and influence others to do the same) by using informal leadership & highly developed communication skills
Contributes to and leads technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data.
Creates and enforces IT standards within the system/application infrastructure and compatibility with the architecture of the platform.

Minimum Qualifications

At a minimum, here’s what we need from you:

Bachelors – Computer Science or related
3+ Years – Information Technology, (Software) Engineering, or related
Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale

Preferred Qualifications

Bonus Points If You Have:

Hands on experience with AWS services such as Lambda, Step Functions, CloudTrail, CloudWatch, DynamoDB, EC2.
Experience with microservices, containers, and Kubernetes.
Snowflake MPP database experience a plus
Hands-on experience integrating open-source components into data-analytic solutions.
Experience contributing to the architecture and design (architecture, design patterns, reliability and scalability) of new and current systems.
Experience developing, deploying and maintaining large-scale Cloud-native solutions.
Experience building data pipelines to ingest data into data lake.

External applicants will be required to perform a technical interview.

#LI-KE

Application Deadline:

The application window for this position is anticipated to close on Feb-10-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

Compensation:

The base pay for this position generally ranges between $86,500.00 to $146,100.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

Paid Parental Leave
Paid Time Off
401(k) Plan
Medical, Dental, Vision, & Health Savings Account
STD, Life, LTD and AD&D
Recognition Program
Education Assistance
Commuter Benefits
Family Support Programs
Employee Stock Purchase Plan

Learn more at MyDiscoverBenefits.com.

What are you waiting for? Apply today!

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.

Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights)

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