Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Chicago, ILMcLean, VA
Salary: $179,400–$204,700 / yr
Posted: 22 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $192k

$141k most similar roles pay here $225k

This role pays more than 57% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $192k 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.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

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As a Lead Data Engineer, you will join an agile team of developers to design, develop, test, implement, and support technical solutions within a full-stack development environment. You will collaborate with product managers to build robust cloud-based solutions that drive financial empowerment experiences for millions of users. Your daily responsibilities include performing unit tests, conducting code reviews, and mentoring other members of the engineering community while staying current on emerging technology trends. 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 and Snowflake. You will work with distributed microservices and big data tools including Hadoop, Hive, Kafka, and Spark to solve complex problems within a high-paced, iterative delivery environment focused on large-scale data integration.

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 high-performance systems for large-scale data processing.
Develop robust cloud-based solutions using platforms like Redshift or Snowflake to drive customer experiences.
Write production-level code using programming languages such as Java, Scala, and Python.
Manage and integrate diverse data sources including RDBMS, NoSQL databases, and real-time streaming applications.
Perform unit tests and conduct peer code reviews to ensure performance tuning and high-quality design.
Mentor other members of the engineering community and stay current on emerging technology trends.

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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