Lead Data Engineer

Capital One Financial

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Quick summary

Work type: On-site
Location: New York, NY
Salary: $215,200–$245,600 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k

This role $230k

$130k most similar roles pay here $258k

This role pays more than 90% of similar roles. Most pay $142,825–$211,200 — the shaded band above. At the midpoint, this role pays about $230k versus about $177k 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 1043 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1037 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

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Lead Data Engineer As a Lead Data Engineer, you will join an agile team to design, develop, test, implement, and support technical solutions within a full-stack development environment. You will collaborate with developers experienced in machine learning, distributed microservices, and full-stack systems to build robust cloud-based solutions that drive financial empowerment experiences. Your daily work involves performing unit tests, conducting code reviews, and mentoring other members of the engineering community while staying current on emerging technology trends. 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 distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi while working within UNIX/Linux environments to solve complex data problems.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools and technologies.
Build robust cloud-based data solutions using services like Redshift or Snowflake to drive customer experiences.
Develop applications using programming languages including Java, Scala, and Python.
Manage and integrate distributed microservices and machine learning components into production systems.
Perform unit tests and conduct peer code reviews to ensure performance and high-quality design.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Utilize NoSQL databases and open-source RDBMS to manage large-scale data infrastructure.

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).
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with public cloud, distributed data tools, real-time streaming, NoSQL, and data warehousing (preferred).
4+ years of experience with UNIX/Linux including basic commands and shell scripting (preferred).
2+ years of experience with Agile engineering practices (preferred).
Bachelor’s Degree.

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