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Discover

Senior Associate Data Engineer

Reposted 11 Hours Ago
Hybrid
Chicago, IL
74K-124K Annually
Junior
Hybrid
Chicago, IL
74K-124K Annually
Junior
The Senior Associate Data Engineer designs and maintains data solutions, participates in agile ceremonies, and mentors new engineers, contributing to data integrations and quality management.
The summary above was generated by AI
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 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 craftmanship. Senior Associate Data Engineers contribute opinions to design decisions and actively participate in agile ceremonies. 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.
  • Regularly contributes to team agile ceremonies and helps new engineers with onboarding.
  • Demonstrates and applies knowledge of:
  • Data Integration concepts and tools
  • DW Design concepts and Metadata documentation
  • Data Profiling tools
  • Data Security
  • Data Quality
  • Data Pipeline
  • Meta Data Management

Qualifications You'll Need
The Basics
  • Bachelors Degree in Computer Science, or related
  • 1+ years of experience in Data Platform Administration/Engineering
  • Internal applicants only: technical proficiency rating of Advanced Beginner 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.

Bonus Points If You Have
  • Strong experience in SQL
  • Experience in tools and technologies involved in data integration/platforms (Unix/Linux Python etc.)
  • ETL/ELT tools ( e.g. AbInitio, DataStage, Informatica etc..)
  • Experience in working with relational Databases, Cloud Tools and Snowflake
  • Basic knowledge of DevOps CI/CD pipelines or Data pipelines

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-07-2025. 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 .
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 [email protected] . 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.

Top Skills

Abinitio
Ci/Cd
Datastage
DevOps
Informatica
Linux
Python
Snowflake
SQL
Unix

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