Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Employment: Full-time
Posted: 69 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $169k

$117k $222k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$211,650.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer - Nexus Data Products joins a team of makers and disruptors to drive a major technological transformation. This role involves collaborating across Agile teams to design, develop, test, and support full-stack technical solutions. You will work with developers experienced in machine learning and distributed microservices to build robust cloud-based solutions. Daily responsibilities include performing unit tests, conducting code reviews, and mentoring other engineering community members. The position requires proficiency in Java, Scala, Python, SQL, and shell scripting, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud data warehousing services such as Redshift and Snowflake. You will also utilize distributed computing tools including Hadoop, Hive, Kafka, and Spark to solve complex business problems.

Skills

Python SQL Scala Java AWS Microsoft Azure Google Cloud Snowflake Redshift Spark Kafka Hadoop Hive EMR MapReduce Cassandra UNIX Linux Agile NoSQL RDBMS

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and maintain robust cloud-based solutions using Redshift, Snowflake, and other data warehousing services.
Develop applications using Java, Scala, Python, and various RDBMS or NoSQL databases.
Create and support distributed microservices and machine learning systems.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Deliver real-time data and streaming applications to meet digital product requirements.
Mentor other members of the engineering community on new technologies and tech trends.

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, Google Cloud).
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred).
4+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred).
4+ years of experience with real-time data and streaming applications (preferred).
Bachelor’s Degree.

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