Lead Data Engineer

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VAChicago, IL
Salary: $179,400–$204,700 / yr
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $192k

$170k most similar roles pay here $231k

This role pays less than 58% of similar roles. Most pay $175,946–$216,075 — the shaded band above. At the midpoint, this role pays about $192k versus about $196k 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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Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) joins the Marketing and Messaging team to build scalable platforms for omnichannel messages in 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 focus on data modeling, quality, governance, and building pipelines with emerging technologies. The role requires proficiency in Python, SQL, Spark, AWS Glue, and Snowflake or Redshift. You will work with NoSQL databases like Mongo or Cassandra, utilize Unix/Linux shell scripting, and leverage AI-assisted coding tools like GitHub Copilot. Your daily work involves optimizing information systems for downstream consumers, performing unit tests, and mentoring the engineering community while solving complex problems in a fast-paced environment.

Skills

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

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.
Develop data pipelines using Python, SQL, and cloud-based warehousing services like Snowflake or Databricks.
Optimize information systems for end-users through sound data design practices.
Mentor other members of the engineering community and share knowledge on emerging tech trends.
Deliver robust cloud-based solutions to power personalized customer experiences across multiple channels.
Perform unit tests and conduct peer code reviews to ensure high performance and quality.

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).
7+ years of experience in application development including Python, SQL, Spark, ETL tools, and AWS Glue.
4+ years of experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL.
4+ years of experience with data warehousing (Redshift or Snowflake) and data modeling for data warehousing.
4+ years of experience with UNIX/Linux including basic commands and shell scripting.
Work authorization that require immigration support from an employer.

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