Senior Lead Data Engineer, Enterprise Platforms Technology

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $229,900–$262,400 / yr
Posted: 126 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 $182k

This role $246k

$135k most similar roles pay here $276k

This role pays more than 92% of similar roles. Most pay $151,000–$214,000 — the shaded band above. At the midpoint, this role pays about $246k versus about $182k 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, Enterprise Platforms Technology

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Senior Lead Data Engineer (Enterprise Platforms Technology) joins the Enterprise Platforms Technology team to design, develop, test, implement, 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 while collaborating across Agile teams to deliver robust cloud-based solutions. The position requires proficiency in Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services such as Redshift or Snowflake. Candidates should also possess skills in distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi, along with UNIX/Linux shell scripting. The work focuses on building essential enterprise platforms and solving complex business problems through high-performance code and innovative data engineering practices.

Skills

Python SQL Scala Java AWS Snowflake Redshift Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL Linux Shell Scripting Agile Machine Learning Microservices

What you'll do

Design, develop, test, and implement 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 applications using Java, Scala, Python, and various RDBMS or NoSQL databases.
Build and manage cloud-based data warehousing solutions using platforms like Redshift and Snowflake.
Deliver robust cloud-based solutions to improve customer experiences for millions of users.
Perform unit tests and conduct peer code reviews to ensure high performance and quality.
Mentor other members of the engineering community and stay current on emerging technology trends.

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.
Experience with data warehousing services such as Redshift or Snowflake.

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