Manager Data Engineering (multiple openings) - IHM

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:Employer:            DFS Corporate Services LLC Job Title:              Manager Data Engineering (multiple openings)Job Location:       Riverwoods, ILJob Type:              Full Time Duties: Assemble, lead and mentor a staff of technically competent, thoughtful and customer-centric technology experts. This includes ensuring the team adheres to sound principles of data engineering within their technical domain, applying consistency to technical solutions, embracing and sharing best practices, and fostering a culture of excellence and continuous learning within the team. Telecommuting and/or working from home may be permissible pursuant to company policies.Requirements: Employer will accept a Bachelor’s degree in Computer Science, Information Technology or related field and 6 years of experience in the job offered or in a Statisticians-related occupation.Position required skills: Position requires experience in the following skillsets: Utilizing tools and technologies, including operating systems such as Unix, Linux, and Windows 10; Utilizing hardware, including AWS Infrastructure; Utilizing software and special tools, including Universal Data loader (UDL), Tableau, Python ad-hoc utilities for automated data validations, and Snowflake; Utilizing programming languages, including Python, Spark, Snow SQL, AWS S3 policies, Kafka, UNIX scripts, Maestro jobs and schedules; Utilizing Amazon Web Services (AWS) and cloud-based technologies to support data engineering work in the cloud; Working with Extract, Transform, Load (ETL) tools and technologies, including Ab Initio, Python, EMR, and Spark development; Performing enterprise data governance, metadata management, data architecture, and master data management activities; Utilizing database technologies, including Snowflake, Redshift, and Teradata environments; Scheduling jobs using IBM Scheduler, Control-M cloud-based scheduling, or event driven processes; Working with complex processes and providing innovative solutions to delivery pipelines; Performing UNIX shell scripting; and Utilizing platforms, including Open Shift, Kubernetes, and Docker.Position eligible for incentives under Employee Referral Program Rate of Pay: The base pay for this position generally ranges between $138,715 to $175,600. 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. We also offer a range of benefits and programs based on eligibility. Learn more at MyDiscoverBenefits.com. QUALIFIED APPLICANTS: Please apply directly through our website by clicking on “Apply Now.”Application Deadline:The application window for this position is anticipated to close on Sep-27-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.Benefits:We also offer a range of benefits and programs based on eligibility. These benefits include:Paid Parental LeavePaid Time Off401(k) PlanMedical, Dental, Vision, & Health Savings AccountSTD, Life, LTD and AD&DRecognition ProgramEducation AssistanceCommuter BenefitsFamily Support ProgramsEmployee Stock Purchase PlanLearn 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.SummaryLocation: Riverwoods, ILType: Full time