Senior Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILPlano, TX
Salary: $209,000–$238,500 / yr
Posted: 85 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k

This role $224k

$136k most similar roles pay here $249k

This role pays more than 80% of similar roles. Most pay $147,200–$220,300 — the shaded band above. At the midpoint, this role pays about $224k versus about $184k 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 · Senior Lead Data Engineer

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As a Senior Lead Data Engineer, you will join an agile team to design, develop, test, implement, and support technical solutions using full-stack development tools. You will lead a team of developers with expertise in machine learning, distributed microservices, and full-stack systems while mentoring other members of the engineering community. Your daily responsibilities include performing unit tests, conducting code reviews, and building robust cloud-based solutions to solve complex business problems. The role requires proficiency in Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services such as Redshift and Snowflake. You will also utilize big data tools including MapReduce, Hadoop, Hive, EMR, Kafka, and Spark to manage real-time data and streaming applications within a distributed computing environment.

Skills

Python SQL Scala Java AWS Azure Redshift Snowflake Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL Unix Linux Shell Scripting Agile Machine Learning Microservices

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Develop cloud-based data solutions using Java, Scala, Python, and databases like Redshift or Snowflake.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Deliver robust cloud-based products that drive customer experiences in collaboration with product managers.
Perform unit tests and conduct peer code reviews to ensure performance and high-quality design.

What we're looking for

Bachelor's Degree or Master's Degree.
At least 6 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 including Java, Scala, Python, and SQL.
Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL databases, data warehousing services like Redshift or Snowflake, and UNIX/Linux shell scripting.
Experience with Agile engineering practices and interactive AI tooling to accelerate productivity.

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