Data Engineer at Discover Financial Services

• The Data Engineer is responsible 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 Data Platform Administration / Engineering

• Internal applicants only: technical proficiency rating of competent 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.

• Travel up to 10% of the time.

Bonus Points If You Have

• Experience working with and understanding of data related to Financial and Marketing domain. 

• 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