Lead Data Engineer, Data Publication and Transformation

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VA
Salary: $197,300–$225,100 / yr
Posted: 57 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k

This role $211k

$129k most similar roles pay here $235k

This role pays more than 75% of similar roles. Most pay $139,192–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $175k 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, Data Publication and Transformation

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Lead Data Engineer - Data Publication and Transformation joins a team of developers focused on machine learning, distributed microservices, and full-stack systems. In this role, you will collaborate across Agile teams to design, develop, test, implement, and support technical solutions while mentoring other members of the engineering community. You will build robust cloud-based solutions and perform unit tests to ensure code is rigorously designed and tuned for performance. The work involves utilizing programming languages such as Java, Scala, Python, and Golang, alongside SQL and NoSQL databases like PostgreSQL and DynamoDB. You will also leverage big data tools including MapReduce, Flink, EMR, Kafka, Spark, and Snowflake or Redshift. This role addresses the technical challenge of delivering high-performance data systems within a cloud environment to support complex business requirements and large-scale data processing needs.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Build robust cloud-based data solutions using Redshift or Snowflake.
Develop applications using programming languages such as Java, Scala, and Python.
Manage distributed microservices and large-scale big data systems.
Perform unit tests and conduct code reviews to ensure performance and quality.
Mentor other members of the engineering community on technical trends and best practices.
Implement real-time data streaming applications using tools like Kafka or Spark.

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).
Experience with programming languages including Java, Scala, Python, and SQL.
Experience with distributed systems, real-time streaming, and data warehousing tools like Snowflake or Redshift.
Proficiency in UNIX/Linux environments including basic commands and shell scripting.
Experience with Agile engineering practices and interactive AI tooling.
Work authorization that require immigration support from an employer.

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