Lead Data Engineer

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: New York, NY
Salary: $215,200–$245,600 / yr
Posted: 11 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 $180k

This role $230k

$138k most similar roles pay here $257k

This role pays more than 88% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $230k versus about $180k 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 · Lead Data Engineer

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Lead Data Engineer As part of the Risk Tech team, the Lead Data Engineer will collaborate with Agile teams and partners to design, develop, test, and support technical solutions for risk management. The role involves building and deploying proprietary tools powered by state-of-the-art AI technology to detect issues and prevent risks before they impact customers or business operations. Day-to-day responsibilities include performing unit tests, conducting code reviews, and mentoring other members of the engineering community while ensuring systems are tuned for performance. The position requires proficiency in Java, Scala, Python, and SQL, along with experience in distributed microservices and full-stack systems. Technical requirements include working with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud data warehousing services such as Redshift and Snowflake. Candidates should also possess skills in Hadoop, Hive, EMR, Kafka, Spark, and UNIX/Linux shell scripting.

Skills

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

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deploy proprietary risk management solutions powered by state-of-the-art AI technology.
Develop robust cloud-based data solutions using Redshift, Snowflake, and other cloud warehousing services.
Utilize programming languages including Java, Scala, and Python to build distributed microservices.
Perform unit tests and conduct peer code reviews to ensure high performance and quality.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Manage real-time data and streaming applications using tools like Kafka and Spark.

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).
Experience with programming languages including Java, Scala, Python, and SQL.
Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
Experience with NoSQL implementations (Mongo, Cassandra) and data warehousing (Redshift or Snowflake).
Experience with Agile engineering practices and interactive AI tooling to accelerate productivity.
Work authorization that require immigration support from an employer.

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