Lead Data Engineer

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NYMcLean, VA
Salary: $197,300–$225,100 / yr
Posted: 2 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 $188k

This role $211k

$154k most similar roles pay here $233k

This role pays more than 73% of similar roles. Most pay $161,287–$214,650 — the shaded band above. At the midpoint, this role pays about $211k versus about $188k 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 (Python, AWS, Spark, SQL, Snowflake, Databricks, & GenAI) joins the Enterprise Platforms Technology team to design, develop, test, implement, and support technical solutions within a full-stack development environment. Working alongside developers experienced in machine learning and distributed microservices, this individual will build robust cloud-based solutions while performing unit tests and code reviews to ensure performance. The role requires proficiency in Python, SQL, Scala, Java, and Spark, along with experience in Snowflake, Redshift, and NoSQL databases like Mongo or Cassandra. Candidates must navigate big data technologies, real-time streaming applications, and Agile engineering practices. This position focuses on the technical challenge of integrating emerging technologies with core enterprise platforms to solve complex business problems and deliver high-quality capabilities within a collaborative, iterative delivery framework involving both internal and external technology communities.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Build robust cloud-based data solutions using technologies like Snowflake, Redshift, and AWS.
Develop applications using programming languages including Python, Java, Scala, and SQL.
Manage distributed microservices and large-scale data processing systems.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Mentor other members of the engineering community on emerging technologies and best practices.
Implement real-time data streaming and NoSQL database solutions.

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.
4+ years of experience with public cloud platforms.
4+ years of experience with distributed data/computing tools like Spark, Hadoop, Hive, or Kafka.
4+ years of experience with data warehousing (Redshift or Snowflake) and NoSQL implementation.
Bachelor’s Degree.

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