Senior Lead Data Engineer

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Salary: $229,900–$262,400 / 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 $204k

This role $246k

$178k most similar roles pay here $271k

This role pays more than 92% of similar roles. Most pay $187,262–$219,987 — the shaded band above. At the midpoint, this role pays about $246k versus about $204k 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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Senior Lead Data Engineer (Enterprise Platform Technology) (Java, Python, Scala, AWS) joins the Marketing and Messaging team to build scalable platforms for omnichannel messages in owned and paid Adtech channels. This role involves collaborating with Agile teams to design, develop, test, and support technical solutions using full-stack development tools. The engineer will lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems while mentoring others in the engineering community. Key technologies include Java, Scala, Python, Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud data warehousing services such as Redshift and Snowflake. The role focuses on delivering robust cloud-based solutions to provide hyper-personalized experiences for customers. Core competencies involve big data tools like Spark, Kafka, and Hadoop, alongside experience with real-time streaming applications and UNIX/Linux shell scripting.

Skills

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

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 scalable platforms to deliver omnichannel messages across owned and paid Adtech channels.
Build robust cloud-based data solutions using Java, Scala, Python, Redshift, and Snowflake.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Mentor other members of the engineering community and share knowledge on emerging technology trends.

What we're looking for

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, Python, and Scala.
Experience with NoSQL databases, Redshift, or Snowflake.
Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with Agile engineering practices.
Bachelor’s Degree.

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