Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 52 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 $184k

This role $211k

$149k most similar roles pay here $233k

This role pays more than 79% of similar roles. Most pay $157,150–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $184k 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

Role Posting Log in to save

Lead Data Engineer (Python, PySpark, AWS) joins a collaborative team of developers to design, develop, test, implement, and support technical solutions within an Agile environment. This role involves building robust cloud-based solutions for financial empowerment by working with teams experienced in machine learning, distributed microservices, and full-stack systems. The daily work includes performing unit tests, conducting code reviews, and mentoring other engineering community members while staying current on technology trends. Key technologies and tools include Python, PySpark, Java, Scala, SQL, and shell scripting within UNIX/Linux environments. The role utilizes big data tools like Hadoop, Hive, EMR, Kafka, and Spark, alongside NoSQL databases such as Mongo and Cassandra. Data warehousing is managed through Redshift or Snowflake, all hosted on cloud platforms including AWS, Microsoft Azure, or Google Cloud to solve complex business problems.

Skills

Python PySpark AWS SQL Scala Java Redshift Snowflake NoSQL Hadoop Hive EMR Kafka Spark MySQL Cassandra UNIX Linux Agile

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Build robust cloud-based data solutions using technologies like Redshift and Snowflake.
Develop applications using Python, Java, Scala, and SQL in a distributed microservices environment.
Manage real-time data and streaming applications to drive customer experiences.
Perform unit tests and conduct code reviews to ensure performance and high-quality design.
Mentor other members of the engineering community and share knowledge on emerging tech trends.
Utilize interactive AI tooling to accelerate development productivity and output.

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 Python, SQL, Scala, and Java.
Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL implementations like Mongo or Cassandra and data warehousing like Redshift or Snowflake.
Experience with UNIX/Linux commands and shell scripting.
Work authorization that require immigration support from an employer.

Save