Manager Data Engineering (multiple openings) - 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:

Employer:            DFS Corporate Services LLC

Job Title:              Manager Data Engineering (multiple openings)

  

Job Location:       Riverwoods, Illinois 

Job Type:              Full Time 

Duties: Assemble, lead and mentor a staff of technically competent, thoughtful, and customer-centric technology experts. This includes ensuring the team adheres to sound principles of data engineering within their technical domain, applying consistency to technical solutions, embracing, and sharing best practices, and fostering a culture of excellence and continuous learning within the team. Telecommuting and/or working from home may be permissible pursuant to company policies.

Requirements: Employer will accept a Bachelor's degree in Computer Science, Engineering, Business, or a related field and 6 years of experience in the job offered or in an Engineering-related occupation.

Position required skills: Financial, marketing and customer profile data; Complex interactions between data assets, data platforms and data pipelines to effectively deliver business solutions; Designing business applications and products using privileged data; Ab-initio to design, develop, cleanse, transform, summarize, and integrate data from multiple sources to multiple targets; Manage migration of ETL processes from relational warehouse databases to Amazon Web Services (AWS) based solutions; Develop real-time data ingestion and stream-analytic solutions by leveraging technologies, including Ab-initio, Teradata, and Python; Perform tuning of complex SQLs using Teradata, Oracle, and Microsoft SQL Server databases; and Perform code review of ETL designs and graphs. Two years of people Leadership is also required.

Position eligible for incentives under Employee Referral Program 

Rate of Pay: The base pay for this position generally ranges between $147,472.00 to $180,200.00. 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.

QUALIFIED APPLICANTS: Please apply directly through our website by clicking on “Apply Now.”

Application Deadline:

The application window for this position is anticipated to close on Jul-28-2025. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

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

• Short and Long Term Disability, Life, and Accidental Death & Dismemberment insurances

• 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, a division of Capital One, N.A., 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)

Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email HireAccommodation@discover.com. Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.

At Discover, we are committed to creating an inclusive and equitable workplace through our Fair Chance Hiring practices. Fair Chance Hiring means that we base our hiring decisions on an applicant’s qualifications rather than their criminal record. All our positions are subject to Section 19 of the Federal Deposit Insurance Act. Our applicants go through a background check, and we follow all applicable local laws, including the Los Angeles County Fair Chance Hiring Ordinance (LA County Fair Chance).

Positions marked as remote eligible are limited to remote locations within the country in which the position is based.

Applicants must be 18 or older at the time of hire.