Senior Lead Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / yr
Posted: 74 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 $182k

This role $246k

$136k most similar roles pay here $276k

This role pays more than 95% of similar roles. Most pay $149,106–$214,650 — the shaded band above. At the midpoint, this role pays about $246k versus about $182k 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 · Senior Lead Data Engineer

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Senior Lead Data Engineer (Python, AWS, Spark, Kakfa, SQL, Snowflake, DynamoDB, Databricks, GenAI) joins the Marketing and Messaging team to build scalable platforms for delivering hyper-personalized omnichannel 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 involving data movement, distributed computing, and full stack systems. You will optimize information systems using sound data design practices while mentoring other engineers and exploring emerging technologies. The role requires proficiency in Python, SQL, Spark, Snowflake, Databricks, DynamoDB, and Kafka, alongside experience with AWS, NoSQL databases, and real-time streaming applications. You will solve complex problems related to data modeling, quality, and governance to deliver robust cloud-based solutions that power personalized customer experiences within the marketing domain.

Skills

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

What you'll do

Design, develop, test, and support technical solutions using data movement tools and technologies.
Lead a team of developers in building distributed computing and full-stack systems.
Build and maintain scalable platforms for delivering omnichannel messages across 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.
Perform unit tests and conduct peer code reviews to ensure performance and quality.
Mentor other members of the engineering community and stay current on emerging tech trends.

What we're looking for

Bachelor's Degree or Master's Degree.
At least 6 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 Python, SQL, Spark, ETL tools, and AWS Glue.
Experience with distributed computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or MySQL.
Experience with NoSQL implementations, data warehousing (Redshift or Snowflake), and UNIX/Linux shell scripting.
Experience with Agile engineering practices and AI-assisted coding tools.

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