Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Plano, TXMcLean, VAChicago, IL
Employment: Full-time
Posted: 105 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 $164k

$118k $211k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,200.

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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JOB TITLE: Lead Data Engineer The Lead Data Engineer joins the Enterprise Consumer Products team to design, develop, test, and support technical solutions within a full-stack development environment. Working alongside developers experienced in machine learning and distributed microservices, this role involves building robust cloud-based solutions to drive customer experiences. Key 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 and Cassandra, and cloud data warehousing services such as Redshift and Snowflake. Candidates must navigate big data technologies including Hadoop, Hive, EMR, Kafka, and Spark to solve complex business problems involving real-time data and streaming applications.

Skills

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

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and deliver robust cloud-based solutions to drive customer experiences.
Utilize Java, Scala, Python, and various RDBMS and NoSQL databases for data engineering.
Manage and operate cloud-based data warehousing services such as Redshift and Snowflake.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Mentor other members of the engineering community and share knowledge on new technology trends.
Work with machine learning, distributed microservices, and full-stack systems to solve complex business problems.

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 working on real-time data and streaming applications (preferred).
Bachelor’s Degree.

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