Data Engineer
Riverwoods, IL, United States
Full Time Mid-level / Intermediate USD 89K - 150K
Discover
Discover bank offers online banking, reward credit cards, home equity loans, and personal loans to help meet your financial needs.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:
What You’ll Do
The Data Engineer is responsible for designing, developing, testing, and maintaining complex data solutions for the product using the enterprise framework. As a Data Engineer, you will become a subject matter expert in domain data and use data knowledge to solve business problems. Data Engineers play a key role in mentoring and influencing peers to achieve commitments on data solutions in a timely fashion, with an emphasis on quality, while actively participating in agile ceremonies. This role also has a broader influence through technical thought leadership amongst their peer tech lead community. In addition, Data Engineers actively manage and escalate risk and customer-impacting issues within the day-to-day role to management.
How You’ll Do It
- 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.
- Demonstrates strong technical aptitude across data engineering practices:
o Utilizing variety of tools to profile, secure the data in transit and at rest; and to enforce data Governance Controls and Alerting
o Designing advanced SQL queries
o Leveraging metadata-driven framework for solutions
o Developing test scripts for unit and integration testing - Leads code review sessions and other process and operational improvement initiatives.
- Exhibits fluency with use of supplemental tools and technologies involved in data integration (Unix/Linux, TWS/Control-M or alike, BI stack).
- Works on holistic solutions, driving feature and story delivery (Agile).
- Identifies and effectively communicates upstream and downstream impacts for changes in the data pipeline.
- Participates in the on-call rotation for support.
- Demonstrates effective and clear communication in team and cross-functional meetings, and lead tech communities.
- Builds strong collaborative working relationship both within the team and cross-functionally.
- Promotes adherence to IT standards and best practices within the system/application infrastructure and compatibility with the architecture of the platform.
Qualifications You’ll Need
The Basics
- Bachelors degree in Computer Science, or related
- 3+ years of experience in Data Platform Administration / Engineering
- Internal applicants only: technical proficiency of competent on the Dreyfus engineer scale.
Physical and Cognitive Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:
- Primarily remain in a stationary position.
- No required movement about the work environment to complete the major responsibilities of the job.
- Primarily performed indoors in an office setting.
- Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.
Bonus Points If You Have
- ETL/ELT Tools (Ab Initio, DataStage, Informatica)
- Exceptional experience with SQL, preferably Snowflake
- Data analysis skills, including data cleansing, data visualization, and/or critical thinking
- Experience in supplemental tools and technologies involved in data integration (Unix/Linux, TWS/Control-M or alike, BI stack)
- Experience working with relational or no-SQL databases, Cloud Tools
- Other programming languages (Unix scripting, Python, etc.)
- Knowledge of cloud platforms (AWS, GCP, Azure)
- Some Experience with DevOps CI/CD framework, Open-Source concepts, key infrastructure concepts (data centers as well as cloud hosting platform) to support business data needs
External applicants will be required to perform a technical interview.
Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.
#LI-KE
Application Deadline:
The application window for this position is anticipated to close on Mar-03-2025. 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 $89,000.00 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
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 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 & Pay Transparency Nondiscrimination Provision)
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.
Tags: Agile Architecture AWS Azure Banking CI/CD Computer Science Data analysis Data governance Data visualization DevOps ELT Engineering ETL GCP Informatica Linux Open Source Python Snowflake SQL Testing
Perks/benefits: Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus
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