Senior Lead Data Engineer (Intelligent Foundations and Experiences)

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Salary: $229,900–$262,400 / yr
Posted: 11 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k

This role $246k

$135k most similar roles pay here $276k

This role pays more than 93% of similar roles. Most pay $148,750–$216,656 — the shaded band above. At the midpoint, this role pays about $246k versus about $183k for comparable roles.

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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Data Engineer (Intelligent Foundations and Experiences)

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Senior Lead Data Engineer (Intelligent Foundations and Experiences) joins the Intelligent Foundations and Experiences team to drive a major transformation through real-time intelligent solutions. This role involves leading a team of developers with expertise in machine learning, distributed microservices, and full-stack systems while collaborating across Agile teams to design, develop, test, and support technical solutions. The daily work includes performing unit tests, conducting code reviews, and building robust cloud-based solutions for financial empowerment. Key technologies include Java, Scala, Python, and SQL, alongside Open Source RDBMS and NoSQL databases like Mongo or Cassandra. The role utilizes big data tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi, while leveraging cloud warehousing services like Redshift and Snowflake within AWS, Microsoft Azure, or Google Cloud environments to solve complex business problems.

Skills

Python SQL Scala Java AWS Snowflake Redshift Spark Kafka Hadoop Hive EMR NoSQL Cassandra MapReduce UNIX Linux Agile

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Develop robust cloud-based solutions using Java, Scala, Python, and databases like Redshift or Snowflake.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Collaborate with product managers to deliver scalable data solutions that improve customer experiences.
Perform unit tests and conduct code reviews to ensure high performance and quality.

What we're looking for

Bachelor's Degree or Master's Degree.
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, or Google Cloud).
Experience with programming languages including Java, Scala, Python, and SQL.
Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL implementations like Mongo or Cassandra and data warehousing like Redshift or Snowflake.
Experience with Agile engineering practices and interactive AI tooling to accelerate productivity.

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