Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: New York, NYWilmington, DE
Salary: $179,400–$204,700 / yr
Posted: 78 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $192k

$136k most similar roles pay here $232k

This role pays more than 55% of similar roles. Most pay $145,700–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $178k 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 (Bank Tech) joins an agile team to design, develop, test, implement, and support technical solutions within a full-stack development environment. This role involves collaborating with developers experienced in machine learning, distributed microservices, and full-stack systems to build robust cloud-based solutions for financial empowerment products. The daily work includes performing unit tests, conducting code reviews, and mentoring other members of the engineering community while staying current on technology trends. Key technical requirements include 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. The role also requires expertise in big data tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, and UNIX/Linux shell scripting to solve complex problems in the banking sector.

Skills

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

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build robust cloud-based data solutions using platforms like Redshift or Snowflake to improve customer experiences.
Develop applications using programming languages including Java, Scala, Python, and SQL.
Manage large-scale data systems involving distributed microservices, NoSQL databases, and real-time streaming applications.
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.
Utilize interactive AI tooling to accelerate development productivity and workflow.

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 tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL databases (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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