Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILPlano, TX
Employment: Full-time
Posted: 127 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $164k

$118k $211k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,200.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer joins a collaborative team to design, develop, test, implement, and support technical solutions within a full-stack development environment. Working alongside developers experienced in machine learning and distributed microservices, the successful candidate will build robust cloud-based solutions to drive powerful user experiences. Daily responsibilities include performing unit tests, conducting code reviews, and mentoring other engineering community members. The role requires proficiency in Java, Scala, Python, SQL, and shell scripting, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud data warehousing services such as Redshift and Snowflake. Technical expertise must include big data tools like Hadoop, Hive, Kafka, and Spark, as well as experience with real-time data streaming and public cloud platforms like AWS, Azure, or Google Cloud.

Skills

Python SQL Scala Java AWS Microsoft Azure Google Cloud Redshift Snowflake Spark Kafka Hadoop Hive EMR MapReduce Cassandra MySQL UNIX Linux Agile Machine Learning NoSQL RDBMS

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and maintain robust cloud-based solutions using Redshift, Snowflake, and other data warehousing services.
Develop applications using programming languages including Java, Scala, and Python.
Implement and manage distributed microservices, machine learning models, and NoSQL databases.
Perform unit tests and conduct code reviews to ensure high performance and rigorous design.
Develop real-time data and streaming applications using tools like Kafka or Spark.
Mentor other members of the engineering community and share knowledge on emerging technology trends.

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, Google Cloud).
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred).
4+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred).
4+ years of experience with NoSQL implementation (Mongo, Cassandra) (preferred).
Bachelor’s Degree.

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