Lead Data Engineer (Intelligent Foundations and Experiences)

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · Richmond, VA
Salary: $197,300–$225,100 / yr
Posted: 3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $211k

$115k most similar roles pay here $237k

This role pays more than 73% of similar roles. Most pay $126,800–$214,737 — the shaded band above. At the midpoint, this role pays about $211k versus about $171k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer (Intelligent Foundations and Experiences)

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As a Lead Data Engineer on Capital One's Intelligent Foundations and Experiences team, you will collaborate with Agile teams to design, develop, test, implement, and support technical solutions using Big Data development tools and technologies. You’ll work closely with developers experienced in machine learning, distributed microservices, and ETL systems, utilizing languages like Java, Scala, Python, and open-source RDBMS and NoSQL databases such as Redshift and Snowflake. Your role involves sharing your passion for technology trends by experimenting with new tools and mentoring team members while collaborating with digital product managers to deliver robust cloud-based solutions that empower millions of Americans financially. You will also perform unit tests and code reviews to ensure high-quality, performance-tuned software. This position requires a Bachelor’s Degree, at least 4 years of application development experience, and expertise in big data technologies and public clouds like AWS or Azure.

Skills

Java Scala Python SQL Hadoop Spark Kafka Redshift Snowflake MongoDB Cassandra AWS Azure Google Cloud UNIX/Linux Shell Scripting Agile MapReduce CI/CD

What you'll do

Design and develop technical solutions using Big Data development tools and technologies.
Implement robust cloud-based solutions for financial empowerment applications.
Conduct unit tests and code reviews to ensure high performance standards.
Mentor team members on new technologies and best practices in data engineering.
Utilize programming languages like Java, Scala, Python, and open-source databases.

What we're looking for

At least 4 years of experience in application development.
Minimum 2 years of experience with big data technologies and cloud computing.
Proficiency in Java, Scala, Python, and knowledge of Open Source RDBMS and NoSQL databases.
Experience with distributed data/computing tools like Hadoop, Spark, Kafka, and Redshift/Snowflake.
Strong background in UNIX/Linux including basic commands and shell scripting.
Familiarity with Agile engineering practices and experience working on real-time data applications.

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