Lead Data Engineer (Cloud Operations Resilience Engineering)

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 126 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 $179k

This role $211k

$138k most similar roles pay here $234k

This role pays more than 78% of similar roles. Most pay $147,200–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $179k 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 (Cloud Operations Resilience Engineering)

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Lead Data Engineer (Cloud Operations Resilience Engineering) joins the Cloud Operations Resilience Engineering division to develop and support technical solutions within a full-stack development environment. Working alongside developers experienced in machine learning, distributed microservices, and full-stack systems, you will design, test, and implement robust cloud-based solutions while performing unit tests and code reviews to ensure performance. The role requires proficiency in Java, Scala, Python, and SQL, along with experience in Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud data warehousing services such as Redshift and Snowflake. You will also utilize distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi within a UNIX/Linux environment. The work focuses on the foundational cloud infrastructure layer, specifically addressing critical areas of observability, connectivity, resilience, and availability for the organization's core systems.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools and technologies.
Build robust cloud-based solutions to improve customer experiences and financial empowerment.
Develop applications using Java, Scala, or Python integrated with RDBMS and NoSQL databases.
Manage data warehousing operations using services such as Redshift and Snowflake.
Perform unit tests and conduct peer code reviews to ensure high performance and quality.
Mentor other members of the engineering community and share knowledge on emerging tech trends.
Support the evolution of foundational cloud infrastructure, including observability, connectivity, and resilience.

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 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 UNIX/Linux systems and Agile engineering practices.
Work authorization that require immigration support from an employer.

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