Lead Data Engineer

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 8 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 $190k

This role $211k

$162k most similar roles pay here $232k

This role pays more than 77% of similar roles. Most pay $169,096–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $190k 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 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) joins the Marketing and Messaging team to build scalable platforms delivering hyper-personalized messages across owned and paid Adtech channels. As a lead developer, you will collaborate with Agile teams to design, develop, test, and support technical solutions using data movement tools and distributed computing. You will be responsible for optimizing information systems through sound data design practices while mentoring other engineers and staying current on technology trends. The role requires proficiency in Python, SQL, Spark, Kafka, Snowflake, Databricks, and GenAI technologies, alongside experience with NoSQL databases, AWS cloud services, and ETL tools. You will solve complex problems related to data modeling, quality, and governance to deliver robust cloud-based solutions that power omnichannel experiences for millions of customers.

Skills

Python SQL Spark Kafka Snowflake Databricks AWS GenAI NoSQL ETL Redshift Hadoop Hive EMR MySQL Cassandra UNIX Linux Agile

What you'll do

Design, develop, test, and support technical solutions using data movement tools and technologies.
Build scalable platforms for delivering omnichannel messages across owned and paid Adtech channels.
Develop robust cloud-based solutions using Python, SQL, Snowflake, and Databricks.
Optimize information systems for end-users and downstream consumers through sound data design practices.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Perform unit tests and conduct peer code reviews to ensure performance and high-quality standards.
Manage data modeling, quality, governance, and permissible use across large-scale datasets.

What we're looking for

Bachelor's Degree or Master's Degree.
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).
7+ years of experience with Python, SQL, Spark, ETL tools, or AWS Glue.
4+ years of experience with distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL.
4+ years of experience with NoSQL implementation (Mongo, Cassandra) and data warehousing (Redshift or Snowflake).
Work authorization that require immigration support from an employer.

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