Lead Data Engineer

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Wilmington, DEMcLean, VA
Salary: $197,300–$225,100 / yr
Posted: 11 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $211k

$140k most similar roles pay here $234k

This role pays more than 81% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $180k 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 · Lead Data Engineer

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Lead Data Engineer As a Lead Data Engineer, you will join an agile team to design, develop, test, implement, and support technical solutions within a full-stack development environment. You will collaborate with developers experienced in machine learning, distributed microservices, and full-stack systems to build robust cloud-based solutions that drive financial empowerment experiences. Your daily responsibilities include performing unit tests, conducting code reviews for performance tuning, and mentoring other members of the engineering community. The role 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. You will also utilize distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, and Spark while working within a Linux environment to solve complex problems in the financial technology space.

Skills

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

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and maintain distributed microservices and systems integrated with machine learning capabilities.
Develop data solutions using Java, Scala, Python, and various RDBMS or NoSQL databases.
Implement cloud-based data warehousing solutions using platforms like Redshift or Snowflake.
Mentor other members of the engineering community and stay current on emerging technology trends.
Deliver robust cloud-based products that provide high-quality experiences for millions of customers.
Perform unit tests and conduct peer code reviews to ensure performance and design quality.

What we're looking for

At least 4 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 such as Java, Scala, Python, and SQL.
Experience with distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL databases (Mongo, Cassandra) and cloud data warehousing (Redshift or Snowflake).
Experience with Agile engineering practices and interactive AI tooling to accelerate productivity.
Work authorization that require immigration support from an employer.

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