Senior Manager, Data Engineering

2 weeks ago

Chicago, Illinois, United States Capital One Full time
About the Role

We are seeking a highly skilled Senior Manager, Data Engineering to lead our team of data engineers in designing and implementing scalable data pipelines using Spark, Scala, and SQL. As a key member of our data engineering team, you will be responsible for overseeing the development and execution of strategies to convert retail partners by utilizing data-driven insights and innovative technologies.

Key Responsibilities
  • Collaborate with agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
  • Lead a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems.
  • Utilize programming languages like Java, Scala, Python, and Open Source RDBMS and NoSQL databases and Cloud-based data warehousing services such as Redshift and Snowflake.
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
  • Perform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performance.
Requirements
  • Bachelor's Degree.
  • At least 6 years of experience in application development (Internship experience does not apply).
  • At least 2 years of experience in big data technologies.
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
  • At least 4 years of people management experience.
Preferred Qualifications
  • Master's Degree.
  • 9+ years of experience in application development including Python, SQL, Scala, or Java.
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
  • 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
  • 4+ year experience working on real-time data and streaming applications.
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra).
  • 4+ years of data warehousing experience (Redshift or Snowflake).
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting.
  • 2+ years of experience with Agile engineering practices.
  • 6+ years of people management experience.
About Capital One

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.

Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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