Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: Plano, TX
Salary: $179,400–$204,700 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k

This role $192k

$127k most similar roles pay here $220k

This role pays more than 60% of similar roles. Most pay $136,050–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $174k 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 801 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 796 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

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As a Lead Data Engineer at our company, you will lead the design and development of enterprise-level scalable, low-latency, fault-tolerant data platforms and processing applications that deliver meaningful insights. You will build next-generation governance controls, distributed data pipelines, and analytics data stores using languages like Python, Java, Typescript, and React. Additionally, you will manage a team of engineers working with big data technologies such as Databricks, Snowflake, Spark, Kafka, AWS Big Data Services, and Redshift on large datasets. Your role involves influencing best practices for data pipeline design and architecture while ensuring application resiliency standards are met in an agile environment focused on CI/CD methodologies.

Skills

Python Java Typescript React Databricks Snowflake Spark Kafka AWS Redshift CI/CD DynamoDB OpenSearch Flink

What you'll do

Lead the design and construction of scalable, low-latency data platforms.
Develop next-generation governance controls for distributed data pipelines.
Build analytics data stores using Python, Java, Typescript, and React.
Manage a team creating data pipelines with big data technologies like Databricks and Snowflake.
Establish best practices for data pipeline design and application resiliency.

What we're looking for

7+ years of experience in application development using Java, Python, SQL, or Scala.
4+ years of experience with distributed data computing tools like Flink, Kafka, and Spark.
4+ years of experience implementing NoSQL solutions such as DynamoDB and OpenSearch.
Lead the design and build of enterprise-level scalable, low-latency, fault-tolerant data platforms.
Influence best practices for data pipeline design, architecture, and processing.

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