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Data Engineer (multiple openings) - IHM - job 2 of 2

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:         Data Engineer (multiple openings) 

  

Job Location:  Riverwoods, Illinois

Job Type:        Full Time 

Duties: Develops and troubleshoots data integration solutions with complex data transformations and provides guidance to other team members. Influences other team members to achieve commitments per guidance from Chapter Leads and actively contributes to agile ceremonies. Telecommuting and/or working from home may be permissible pursuant to company policies.

Requirements: Employer will accept a Bachelor's degree in Computer Science or related field and 3 years of experience in the job offered or in a Data Engineer-related occupation.

Position Required Skills: Position requires: Developing optimized, complex SQL queries across large volumes of data in both relational and multi-dimensional data sources such as Teradata, Hadoop, Amazon Redshift, Oracle DB or Hyperion Essbase; Utilizing Business Intelligence Tools such as Tableau, Power BI or Qlikview to develop interactive dashboards; Data manipulation and statistical analysis with programming languages such as Python or R; Business analysis tools, methodologies, and software, including system development life cycles (SDLC) and Agile methodologies.

Position eligible for incentives under Employee Referral Program 

Rate of Pay: The base pay for this position generally ranges between $96,741.00 to $150,200.00. 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 May-26-2025. 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 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.

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Average salary estimate

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$96741K
$150200K

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What You Should Know About Data Engineer (multiple openings) - IHM, Discover

Are you ready to take your Data Engineering skills to the next level? Discover is on the lookout for talented Data Engineers to join our vibrant team in Riverwoods, IL. At Discover, we pride ourselves on fostering a culture where you can thrive professionally while making a significant impact in the world of digital banking and payments. In this role, you’ll lead the development and troubleshooting of data integration solutions that entail complex data transformations. You'll collaborate with fellow team members, guiding them to achieve their commitments and actively participating in our agile ceremonies. If you have a Bachelor’s degree in Computer Science or related field along with three years of relevant experience, we would love to hear from you! We’re looking for someone with expertise in crafting optimized SQL queries across large datasets, proficiency in Business Intelligence tools like Tableau or Power BI, and programming skills in languages such as Python or R. At Discover, we understand the importance of work-life balance, and we offer multiple incentives, a competitive salary range from $96,741.00 to $150,200.00, and a comprehensive benefits package that includes paid parental leave, wellness programs, and opportunities for continuous learning. Join us and help millions of people discover a brighter financial future while advancing your career in an inclusive and empowering environment. What are you waiting for? Apply today!

Frequently Asked Questions (FAQs) for Data Engineer (multiple openings) - IHM Role at Discover
What responsibilities does a Data Engineer at Discover have?

As a Data Engineer at Discover, your primary responsibilities will include developing and troubleshooting data integration solutions, handling complex data transformations, and guiding fellow team members. You will also need to work collaboratively in agile ceremonies and engage in various projects that involve optimizing SQL queries and utilizing Business Intelligence tools.

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What qualifications are necessary for the Data Engineer position at Discover?

To qualify for the Data Engineer role at Discover, candidates should have a Bachelor's degree in Computer Science or a related field, along with at least three years of relevant experience. Essential skills include proficiency in SQL, experience with data tools such as Tableau, Power BI, or Qlikview, and programming capabilities in Python or R.

Join Rise to see the full answer
Is remote work an option for the Data Engineer position at Discover?

The Data Engineer position at Discover may offer opportunities for telecommuting or working from home, depending on company policies. It's essential to check with the hiring team regarding the specific arrangements available for this role.

Join Rise to see the full answer
What kind of career development does Discover offer to Data Engineers?

At Discover, we are committed to supporting your career growth. Data Engineers can access various learning programs, participate in workshops, and benefit from our education assistance programs that foster continuous improvement and professional success.

Join Rise to see the full answer
What benefits does Discover provide to Data Engineers?

Discover offers a comprehensive benefits package for Data Engineers, which includes paid parental leave, paid time off, a 401(k) plan, health insurance options, and family support programs. Additional perks include employee recognition programs and an employee stock purchase plan.

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Common Interview Questions for Data Engineer (multiple openings) - IHM
Can you explain your experience with SQL and database management?

When answering this question, focus on specific projects where you've optimized SQL queries for large datasets. Highlight your familiarity with various database systems like Teradata or Oracle and how your contributions improved data accessibility or reporting functions.

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How do you approach data integration challenges?

Discuss your problem-solving skills by providing examples of past challenges. Explain the tools and techniques you've used, such as ETL processes, and your ability to ensure data quality during integration.

Join Rise to see the full answer
What Business Intelligence tools are you proficient in?

Mention any BI tools you've used, such as Tableau or Power BI. Provide examples of dashboards you've created or how you've utilized these tools to analyze data and deliver insights to stakeholders.

Join Rise to see the full answer
How do you stay updated with emerging technologies in data engineering?

Explain your commitment to continuous learning, such as attending conferences, taking online courses, or engaging in communities that focus on data technologies. Share any specific technologies you're currently exploring.

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Can you describe a successful project you led as a Data Engineer?

Provide a detailed example of a past project where you played a significant role. Highlight your contributions, the technologies you used, and the positive outcomes that resulted from the project.

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Tell us about your experience with Agile methodologies.

Speak about your familiarity with Agile principles, your participation in sprints, and how you adapted your work processes to fit into Agile frameworks. Share examples of how collaborating in Agile teams led to project successes.

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How do you ensure the accuracy and quality of data?

Discuss your procedures for validating data integrity. This might include data cleansing techniques or using automated testing tools that you employed in previous roles to ensure high-quality outcomes.

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What programming languages are you comfortable with?

Enumerate the programming languages you use, particularly Python or R, and describe how you've applied them in your data manipulation or analysis tasks. Highlight relevant projects that showcase your proficiency.

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How would you prioritize tasks in a fast-paced environment?

Illustrate your organizational skills by explaining how you assess task urgency based on project deadlines. Emphasize your ability to maintain flexibility and adapt to changing priorities while ensuring high-quality results.

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Why do you want to work at Discover as a Data Engineer?

This is your chance to express your enthusiasm for the company and role. Mention Discover's commitment to creating a collaborative culture, their innovative approach to financial technology, and how you believe your skills align with their mission and goals.

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To help people spend smarter, manage debt better and save more so they can achieve a brighter financial future.

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