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Senior Associate Data Engineer

Discover

Chicago (IL)

On-site

USD 73,000 - 125,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company as a Senior Associate Data Engineer, where you will play a vital role in implementing analytical solutions and developing data pipelines. You will collaborate with engineers and business partners to solve complex data challenges and contribute to agile ceremonies. This position offers an exciting opportunity to grow your skills in a dynamic environment, while making a significant impact on the financial futures of millions. If you're passionate about data and eager to make a difference, this role is perfect for you!

Benefits

Paid Parental Leave
Paid Time Off
401(k) Plan
Medical, Dental, Vision Insurance
Education Assistance
Employee Stock Purchase Plan

Qualifications

  • 1+ years of experience in Data Platform Administration/Engineering.
  • Strong understanding of Data Integration concepts and tools.

Responsibilities

  • Implement analytical solutions by designing and developing data solutions.
  • Troubleshoot production issues and participate in on-call rotation.

Skills

Data Integration
Data Analysis
SQL
Agile Methodologies
Cloud Technologies
Data Security
Data Quality

Education

Bachelor's Degree in Computer Science

Tools

ETL/ELT Tools (Ab Initio, DataStage, Informatica)
Snowflake
Unix/Linux
DevOps CI/CD Framework

Job description

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 will implement analytical solutions by designing, developing, maintaining, and testing data solutions for the product using the enterprise framework. This role will strive to become a subject matter expert in domain data and use data knowledge to solve business problems. Senior Associate Data Engineers will 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.

  • 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
  • Analyze domain data to become knowledgeable on data characteristics and relationships across multiple data sources through query development
  • Develop data pipelines using DevOps tools and Cloud technologies
  • Achieve team commitments through collaboration with other engineers, architects, product owners, data scientists and business partners.
  • Contribute to technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data.
  • Adhere 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

  • Bachelor's Degree in Computer Science or related field
  • 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

  • ETL/ELT Tools (Ab Initio, DataStage, Informatica)
  • Strong 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.
Application Deadline:
The application window for this position is anticipated to close on Feb-11-2025. 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 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 ).
Applicants must be 18 or older at the time of hire.

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