Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, IL
Employment: Full-time
Posted: 136 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 $163k

$116k $214k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$198,900.

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 2204 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1138 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer joins a collaborative 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, the successful candidate will build robust cloud-based solutions to drive powerful user experiences. Daily responsibilities include performing unit tests, conducting code reviews, and mentoring other engineering community members. The role requires proficiency in programming languages such as Java, Scala, and Python, along with experience using Open Source RDBMS, NoSQL databases like Mongo and Cassandra, and cloud data warehousing services including Redshift and Snowflake. Technical skills must also encompass big data tools like Spark, Kafka, and Hadoop, as well as cloud platforms like AWS, Microsoft Azure, and Google Cloud to solve complex business problems.

Skills

Python Java Scala SQL 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 robust cloud-based solutions to drive customer experiences using Redshift or Snowflake.
Develop applications using Java, Scala, Python, and various RDBMS or NoSQL databases.
Work with machine learning, distributed microservices, and full-stack systems.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Mentor other members of the engineering community and share knowledge on tech trends.
Implement real-time data and streaming applications using distributed computing tools.

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, distributed data tools, real-time streaming, NoSQL, data warehousing, and UNIX/Linux (preferred).
2+ years of experience with Agile engineering practices (preferred).
Experience leveraging interactive AI tooling to accelerate productivity (preferred).
Bachelor’s Degree.

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