Senior Lead Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / yr
Posted: 101 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 $184k

This role $246k

$136k most similar roles pay here $276k

This role pays more than 93% of similar roles. Most pay $149,381–$219,587 — the shaded band above. At the midpoint, this role pays about $246k 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 (Bank Tech), 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 delivering robust cloud-based solutions to solve complex business problems. The role requires proficiency in Java, Scala, Python, SQL, and shell scripting within UNIX/Linux environments. You will work with big data technologies including MapReduce, Hadoop, Hive, EMR, Kafka, and Spark, alongside NoSQL databases like Mongo or Cassandra. Additionally, you will utilize cloud-based data warehousing services such as Redshift and Snowflake to manage real-time data and streaming applications.

Skills

Python SQL Scala Java AWS Snowflake Redshift Spark Kafka Hadoop Hive EMR NoSQL Cassandra MapReduce UNIX Linux Shell Scripting Agile

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 applications using Java, Scala, Python, and various RDBMS or NoSQL databases.
Build and manage cloud-based data warehousing solutions using platforms like Redshift and Snowflake.
Mentor other members of the engineering community and share expertise on emerging technology trends.
Deliver robust cloud-based solutions to improve customer experiences for millions of users.
Perform unit tests and conduct code reviews to ensure high performance and elegant 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).
Proficiency in programming languages including Java, Scala, Python, and SQL.
Experience with distributed data tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL databases, data warehousing services like Redshift or Snowflake, and UNIX/Linux environments.
Experience with Agile engineering practices and interactive AI tooling.

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