Lead Data Engineer

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 35 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 $180k

This role $211k

$140k most similar roles pay here $234k

This role pays more than 81% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $180k 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 will join an agile team to design, develop, test, implement, and support technical solutions using full-stack development tools. The role involves collaborating with developers experienced in machine learning, distributed microservices, and full-stack systems to build robust cloud-based solutions that drive financial empowerment experiences. Day-to-day responsibilities include performing unit tests, conducting code reviews for performance tuning, and mentoring other members of the engineering community while staying current on technology trends. The required technical stack includes programming languages such as Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services including Redshift and Snowflake. Candidates should also possess skills in distributed computing tools like Spark, Kafka, and Hadoop, along with proficiency in UNIX/Linux environments and interactive AI tooling to accelerate productivity.

Skills

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

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build robust cloud-based data solutions using Redshift or Snowflake for large-scale customer experiences.
Develop applications using programming languages such as Java, Scala, and Python.
Manage and integrate distributed microservices and big data technologies like Spark, Kafka, and Hadoop.
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 technology trends.
Implement real-time data streaming applications and NoSQL database solutions.

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, Scala, or Java.
4+ years of experience with distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
4+ years of experience with NoSQL implementation (Mongo, Cassandra) and data warehousing (Redshift or Snowflake).
2+ years of experience with Agile engineering practices.
Work authorization that require immigration support from an employer.

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