Senior Lead Data Engineer, Enterprise Platforms Technology

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Employment: Full-time
Posted: 172 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $168k

$84k $223k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $135,400–$201,600.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Lead Data Engineer, Enterprise Platforms Technology

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The Senior Lead Data Engineer (Enterprise Platforms Technology) joins the Enterprise Platforms Technology team to design, develop, test, and support technical solutions within a full-stack development environment. This role involves leading a team of developers with expertise in machine learning, distributed microservices, and full-stack systems. Key responsibilities include collaborating with Agile teams to deliver robust cloud-based solutions, performing unit tests, and conducting code reviews to ensure performance tuning. The position requires proficiency in Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo and Cassandra, and cloud data warehousing services such as Redshift and Snowflake. The work focuses on establishing enterprise-wide technology practices and building scalable data infrastructure to solve complex business problems and drive powerful digital experiences.

Skills

Python Java Scala SQL AWS Microsoft Azure Google Cloud Snowflake Redshift Spark Kafka Hadoop Hive EMR Cassandra MySQL MapReduce UNIX Linux Shell Scripting Agile Machine Learning Microservices

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Utilize Java, Scala, Python, and various RDBMS/NoSQL databases to build data solutions.
Develop and support robust cloud-based data warehousing solutions using Redshift or Snowflake.
Perform unit tests and conduct code reviews to ensure performance tuning and rigorous design.
Deliver cloud-based solutions in partnership with digital product managers to drive customer experiences.

What we're looking for

At least 6 years of experience in application development.
At least 2 years of experience in big data technologies.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Master's Degree (preferred)
9+ years of experience in application development including Python, SQL, Scala, or Java (preferred)
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred)
5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred)

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