Lead Data Engineer

Capital One Financial

Quick summary

Work type
On-site
Location
Plano, TX
Salary
$179,400–$204,700 / yr
Posted
26 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $192k
$116k most similar roles pay here $231k

This role pays more than 60% of similar roles. Most pay $126,800–$213,750 — the shaded band above. At the midpoint, this role pays about $192k versus about $170k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

As a Lead Data Engineer in Plano, TX, you will lead the design and development of an enterprise-level scalable, low-latency, fault-tolerant streaming data platform that delivers timely insights. You will build next-generation distributed streaming data pipelines and analytics data stores using frameworks like Flink and Spark Streaming with Java, Scala, and Python. Additionally, you will manage a team of engineers working on big data technologies such as Spark, Kafka, Snowflake, AWS Big Data Services, and Redshift for medium to large datasets. You will also influence best practices in data pipeline design, architecture, and processing of structured and unstructured data while collaborating with security teams in an agile environment focused on CI/CD and application resiliency standards.

What you'll do

  • Design and build a scalable, low-latency streaming data platform.
  • Construct next-generation distributed streaming pipelines using Flink and Spark Streaming.
  • Guide engineers in developing data pipelines with big data technologies on large datasets.
  • Establish best practices for data pipeline design and structured/unstructured data processing.
  • Ensure application resiliency standards and collaborate with security teams.

What we're looking for

  • 7+ years of application development experience in Java, Python, SQL, or Scala.
  • 4+ years of experience with distributed data computing tools like Flink, Kafka, and Spark.
  • 4+ years of NoSQL implementation experience with DynamoDB and OpenSearch.
  • Lead the design and build of enterprise-level scalable streaming data platforms.
  • Influence best practices for data pipeline design and processing structured/unstructured data.

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