Lead Data Engineer (Intelligent Foundations and Experiences)

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 15 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 $211k

$145k most similar roles pay here $234k

This role pays more than 77% of similar roles. Most pay $153,587–$211,200 — the shaded band above. At the midpoint, this role pays about $211k 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 · Lead Data Engineer (Intelligent Foundations and Experiences)

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Lead Data Engineer (Intelligent Foundations and Experiences) joins the Intelligent Foundations & Experiences team to develop robust cloud-based solutions that drive real-time intelligent experiences for millions of users. Working within an Agile environment, you will collaborate with developers experienced in machine learning and distributed microservices to design, test, implement, and support full-stack systems. Your daily responsibilities include performing unit tests, conducting code reviews, and mentoring other engineers while staying current on emerging technology trends. You will utilize a technical stack including Java, Scala, Python, and SQL, alongside Open Source RDBMS and NoSQL databases like Mongo or Cassandra. Additionally, you will leverage cloud-based data warehousing services such as Redshift and Snowflake, along with distributed computing tools like Hadoop, Hive, Kafka, and Spark to solve complex problems in the realm of real-time data and streaming applications.

Skills

Python SQL Scala Java AWS Azure Redshift Snowflake Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL 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 platforms like Redshift or Snowflake.
Develop real-time data and streaming applications to enhance customer experiences.
Write high-quality code in programming languages such as Java, Scala, and Python.
Manage distributed microservices and integrate machine learning capabilities into production systems.
Perform unit tests and conduct peer code reviews to ensure performance and design quality.
Mentor other members of the engineering community and share knowledge on emerging tech 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, or Google Cloud).
Experience with programming languages such as Java, Scala, Python, and SQL.
Experience with distributed data tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
Experience with NoSQL implementations (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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