Data Engineer (ETL)

Discover Financial Services, Inc.; Illinois; On-site; USD 89,000 - 151,000; Full time

Job summary

Join a leading digital banking and payments company as a Data Engineer, where you will design and develop complex data solutions that empower millions of customers. This role emphasizes collaboration and mentorship, allowing you to influence peers while ensuring high-quality data solutions. With a focus on agile methodologies, you will work on innovative data integration projects that enhance the customer experience. If you're passionate about data engineering and making an impact, this is the perfect opportunity to grow your career in a supportive environment.

Benefits

Paid Parental Leave

Paid Time Off

401(k) Plan

Medical, Dental, Vision Insurance

Short and Long Term Disability Insurance

Education Assistance

Commuter Benefits

Employee Stock Purchase Plan

Qualifications

• 3+ years of experience in Data Platform Administration/Engineering.
• Strong technical aptitude across data engineering practices.

Responsibilities

• Designing, developing, and maintaining complex data solutions.
• Troubleshooting data integration solutions with complex transformations.

Skills

Data Engineering

SQL

Data Integration

Agile Methodologies

Communication Skills

Education

Bachelor's Degree in Computer Science

Tools

ETL/ELT Tools (AbInitio, DataStage, Informatica)

AWS

Snowflake

Unix/Linux

TWS/Control-M

Job description

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. Data Engineers play a key role in mentoring and influencing peers to achieve commitments on data solutions in a timely fashion and with an emphasis on quality. This role also has a broader influence through technical thought leadership amongst their peer tech lead community. Actively manages and escalates 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:
• Utilizing variety of tools to profile, secure the data in transit and at rest; and to enforce data Governance Controls and Alerting
• Designing advanced SQL queries
• Leveraging metadata-driven framework for solutions
• 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.

Qualifications You’ll Need

The Basics

• Bachelor's Degree in Computer Science or related field
• 3+ years of experience in Data Platform Administration/Engineering
• Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale

Physical And Cognitive Requirements

• 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.
• Ability to communicate verbally.; Ability to communicate in written form.
• Travel up to 10% of the time.

Bonus Points If You Have

• ETL/ELT Tools (AbInitio, DataStage, Informatica)
• Cloud Tools and Databases (AWS, Snowflake)
• Other programming languages (Unix scripting, Python, etc.)
• Experience working in cloud platforms (AWS, GCP, Azure)
• Basic understanding of key infrastructure concepts (data centers as well as cloud hosting platform) to support business data needs
• Experience optimizing SQL both relational and NoSQL

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.

Application Deadline:

The application window for this position is anticipated to close on May-10-2025. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

About This Role

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. Data Engineers play a key role in mentoring and influencing peers to achieve commitments on data solutions in a timely fashion and with an emphasis on quality. This role also has a broader influence through technical thought leadership amongst their peer tech lead community. Actively manages and escalates 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:
• Utilizing variety of tools to profile, secure the data in transit and at rest; and to enforce data Governance Controls and Alerting
• Designing advanced SQL queries
• Leveraging metadata-driven framework for solutions
• 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.

Qualifications You’ll Need

The Basics

• Bachelor's Degree in Computer Science or related field
• 3+ years of experience in Data Platform Administration/Engineering
• Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale

Physical And Cognitive Requirements

• 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.
• Ability to communicate verbally.; Ability to communicate in written form.
• Travel up to 10% of the time.

Bonus Points If You Have

• ETL/ELT Tools (AbInitio, DataStage, Informatica)
• Cloud Tools and Databases (AWS, Snowflake)
• Other programming languages (Unix scripting, Python, etc.)
• Leverage CI/CD framework for data integration, Open Source
• Experience working in cloud platforms (AWS, GCP, Azure)
• Basic understanding of key infrastructure concepts (data centers as well as cloud hosting platform) to support business data needs
• Experience optimizing SQL both relational and NoSQL

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 May-10-2025. 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 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 [e-mail] .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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Join us and you can expect a whole lot of rewards. From Health and insurance to on-site fitness centers, there’s everything you need to thrive – in and out of work.

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