Senior Associate Data Engineer

Discover Financial Services, Inc.; Chicago (IL); On-site; USD 73,000 - 125,000; Full time

Job summary

Join a forward-thinking company as a Senior Associate Data Engineer, where you'll design and develop innovative data solutions. This role allows you to leverage your skills in data integration and cloud technologies, contributing to meaningful projects that impact millions. Collaborate with a dynamic team, enhance your technical expertise, and grow in an inclusive environment. If you're passionate about technology and eager to make a difference, this opportunity is perfect for you.

Benefits

Paid Parental Leave

Paid Time Off

401(k) Plan

Medical, Dental, Vision

Short and Long Term Disability

Education Assistance

Commuter Benefits

Employee Stock Purchase Plan

Qualifications

• 1+ years of experience in Data Platform Administration or Engineering.
• Knowledge of Data Integration concepts and tools.

Responsibilities

• Design and develop data solutions using the enterprise framework.
• Troubleshoot production issues and participate in agile ceremonies.

Skills

Data Integration

Data Security

Data Quality

Data Profiling

Agile Methodologies

Problem-solving

Education

Bachelor's in Computer Science

Tools

AWS

Jenkins

GitHub

Terraform

Ansible

DataStage

Informatica

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 Senior Associate Data Engineer is responsible for designing, developing, maintaining, and testing data solutions for the product using the enterprise framework. This role will apply learned software delivery capabilities and have the desire to learn higher levels of craftsmanship. Senior Associate Data Engineers contribute opinions to design decisions and actively participate in agile ceremonies. This person actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.

How You'll Do It

• Independently executes a variety of data integration solutions, recognizes data related patterns, and solicits advice on potential approaches.
• Contributes opinions to design decisions and understands design tradeoffs.
• Develops skills in data warehouse tools, Cloud, agile and other technologies involved in data integration.
• Demonstrates and applies knowledge of:
• Data Integration concepts and tools
• DW Design concepts and Metadata documentation
• Data Profiling tools
• Data Security
• Data Quality
• Regularly contributes to team agile ceremonies and helps new engineers with onboarding.
• Troubleshoots production issues and defects.
• Identifies and executes test scenarios and shares test results.
• Participates in the on-call rotation for support.

Qualifications You'll Need

The Basics

• Bachelors in Computer Science
• 1+ years Data Platform Administration / Engineering
• For roles requiring Dreyfus Rating – Internal applicants only: technical proficiency of Advanced Beginner on the Dreyfus Engineering 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.
• Ability to communicate verbally; Ability to communicate in written form.

Bonus Points If You Have

• Strong hands-on experience and understanding of working in a cloud environment such as AWS
• Experience with EMR (Elastic Map Reduce), Spark
• Strong experience with CI/CD pipelines with Jenkins
• Experience with the following technologies: Gradle, Terraform, Ansible, GitHub/GitFlow, PCF/OCP/Kubernetes technologies, Artifactory
• Experience working with relational or no-SQL databases, Cloud Tools
• Other programming languages (Unix scripting, Python, etc.)
• ETL/ELT Tools (Ab Initio, DataStage, Informatica)
• 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)

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 Apr-20-2025. 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 $73,500.00 to $124,300.00. 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.

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.