Lead Data Engineer: Python, PySpark on AWS

Capital One; North Dakota; On-site; USD 179,000 - 225,000; Full time

Job summary

Capital One is seeking a Lead Data Engineer to drive data engineering initiatives using Python, PySpark, and AWS. You’ll design, develop, test, and deploy scalable data solutions with a focus on ML-ready pipelines, distributed computing, and cloud-based data warehousing.

You’ll mentor teammates and collaborate with product managers to deliver impactful financial technology experiences. The role requires strong backend development in Python/Scala/Java, big data tech, and cloud experience, with

Qualifications

• Bachelor’s Degree
• At least 4 years of experience in application development
• At least 2 years of experience in big data technologies
• 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+ years of experience with NoSQL (Mongo, Cassandra)
• 4+ years of data warehousing experience (Redshift or Snowflake)
• 4+ years of UNIX/Linux experience
• 2+ years of Agile engineering practices
• Experience leveraging interactive AI tooling to accelerate productivity

Responsibilities

• 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

Job description

Capital One is seeking a Lead Data Engineer to drive data engineering initiatives using Python, PySpark, and AWS. You’ll design, develop, test, and deploy scalable data solutions with a focus on ML-ready pipelines, distributed computing, and cloud-based data warehousing.

You’ll mentor teammates and collaborate with product managers to deliver impactful financial technology experiences. The role requires strong backend development in Python/Scala/Java, big data tech, and cloud experience, with