Senior Lead Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: New York, NY
Salary: $250,800–$286,200 / yr
Posted: 122 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 $268k

$131k most similar roles pay here $303k

This role pays more than 96% of similar roles. Most pay $147,200–$220,300 — the shaded band above. At the midpoint, this role pays about $268k 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 a collaborative team to design, develop, test, implement, and support technical solutions within a full-stack development environment. You will lead a team of developers with expertise in machine learning, distributed microservices, and full-stack systems while collaborating with digital product managers to deliver robust cloud-based solutions for financial empowerment. Your daily work involves performing unit tests and conducting code reviews to ensure performance and quality. 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 or Snowflake. You will also utilize distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi while working within Agile engineering practices to solve complex business problems in the financial sector.

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 applications using Java, Scala, Python, and various RDBMS or NoSQL databases.
Build and maintain cloud-based data warehousing solutions using platforms like Redshift and Snowflake.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Deliver robust cloud-based solutions to improve customer experiences for millions of users.
Perform unit tests and conduct peer code reviews to ensure high performance and quality.

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 such as Java, Scala, Python, and SQL.
Experience with distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL databases, data warehousing services (Redshift or Snowflake), and UNIX/Linux shell scripting.
Experience with Agile engineering practices and interactive AI tooling.

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