Lead Data Engineer, Data Publication and Transformation

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VA
Employment: Full-time
Posted: 102 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 $170k

$116k $223k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$213,065.

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, Data Publication and Transformation

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The Lead Data Engineer - Data Publication and Transformation joins a team of developers to design, develop, test, and support technical solutions within a full-stack development environment. This role involves collaborating across Agile teams to build robust cloud-based solutions that drive powerful experiences for financial empowerment. The engineer will work with distributed microservices and machine learning systems, performing unit tests and code reviews to ensure performance. Key technologies include Java, Scala, Python, SQL, and Golang, alongside Open Source RDBMS and NoSQL databases like PostgreSQL and DynamoDB. Candidates will utilize cloud data warehousing services such as Redshift and Snowflake, as well as distributed computing tools like MapReduce, Flink, EMR, Kafka, and Spark. The work focuses on real-time data streaming and large-scale data transformation.

Skills

Python Java Scala SQL Golang AWS Microsoft Azure Google Cloud Snowflake Redshift PostgreSQL DynamoDB Spark Kafka Flink MapReduce EMR UNIX Linux Shell Scripting Agile NoSQL RDBMS

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build robust cloud-based solutions using Redshift, Snowflake, and other data warehousing services.
Develop applications using programming languages such as Java, Scala, and Python.
Implement distributed microservices and handle real-time data and streaming applications.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Manage and query Open Source RDBMS and NoSQL databases like PostgreSQL and DynamoDB.
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, Golang, Java or Scala (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, Flink, EMR, Kafka, Spark, or MySQL) (preferred).
4+ years of experience working on real-time data and streaming applications (preferred).
Bachelor’s Degree.

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