Lead Data Engineer (Finance Tech)

The Lead Data Engineer role in Capital One's Finance Tech group focuses on designing, building, testing, implementing, and supporting data engineering solutions, delivering cloud-based data platforms via Agile teams to empower financial decision-making.

Responsibilities

• Partner with cross-functional Agile teams to design, build, test, deploy, and support technical solutions across full‑stack development tools and technologies
• Collaborate with developers who specialize in machine learning, distributed microservices, and full‑stack systems
• Work with Java, Scala, and Python, plus open source RDBMS and NoSQL databases, and cloud data warehouses such as Redshift and Snowflake
• Share enthusiasm for emerging technologies, experiment with new tools, participate in internal and external tech communities, and mentor other engineers
• Collaborate with digital product managers to deliver robust cloud based solutions that enable financial empowerment for millions
• Perform unit tests and participate in code reviews to ensure designs are solid, code is clean, and performance is tuned

Requirements

• Bachelor’s Degree
• Minimum 4 years of experience in application development (internships do not count)
• Minimum 2 years of experience with big data technologies
• At least 1 year of cloud computing experience (AWS, Microsoft Azure, or Google Cloud)

Technologies

• Java
• Scala
• Python
• Redshift
• Snowflake
• MongoDB
• Cassandra
• Hadoop
• Hive
• MapReduce
• EMR
• Kafka
• Spark
• Gurobi
• MySQL
• UNIX/Linux
• Shell scripting
• AWS
• Microsoft Azure
• Google Cloud

Benefits

• Health benefits
• Financial benefits
• Performance-based incentive compensation including cash bonuses and long-term incentives