Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Wilmington, DEMcLean, VA
Salary: $197,300–$225,100 / yr
Posted: 10 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 $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 of developers specializing in machine learning, distributed microservices, and full-stack systems. You will be responsible for designing, developing, testing, implementing, and supporting technical solutions while performing unit tests and code reviews to ensure performance. Your daily work involves building robust cloud-based solutions to solve complex business problems related to financial empowerment. The role requires proficiency in programming languages such as Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services including Redshift and Snowflake. You will also utilize distributed computing tools like Hadoop, Hive, Kafka, and Spark within a Linux environment. This position focuses on integrating data with emerging technologies to deliver high-quality products in an iterative delivery environment.

Skills

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

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools.
Build distributed microservices and systems utilizing machine learning technologies.
Develop applications using Java, Scala, or Python with RDBMS and NoSQL databases.
Implement cloud-based data warehousing solutions using services like Redshift or Snowflake.
Mentor other members of the engineering community and share knowledge on emerging tech trends.
Deliver robust cloud-based solutions to improve customer experiences for millions of users.
Perform unit tests and conduct peer code reviews to ensure performance and 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 including Java, Scala, Python, and SQL.
Experience with distributed data/computing tools such as 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 UNIX/Linux shell scripting.
Work authorization that require immigration support from an employer.

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