Capital One

Lead Data Engineer, Marketing Technology (Enterprise Platforms Technology)

$179K–$205KFull-time · Riverwoods, IL
✓ Verified live on the employer's own system · added 18 days ago
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Senior · 7+ yrs exp

Requirements

Experience: 7+ years

Skills & tools

Project ManagementMachine LearningDistributed SystemsProgrammingJavaPythonSQLSnowflake
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Full job description

We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

- Work with 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 your code is rigorously designed, elegantly coded, and effectively tuned for performance

- At least 4 years of experience in application development (Internship experience does not apply)

- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

- 7+ 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)

- 4+ 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

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