Lead Data Engineer (Enterprise Platforms Technology)

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · New York, NY
Salary
$197,300–$225,100 / yr
Posted
11 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $211k
$154k most similar roles pay here $233k

This role pays more than 66% of similar roles. Most pay $161,275–$220,900 — the shaded band above. At the midpoint, this role pays about $211k versus about $191k for comparable roles.

Based on 239 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer (Enterprise Platforms Technology)

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As a Lead Data Engineer at Enterprise Platforms Technology, you will lead the design and implementation of large-scale data solutions for our enterprise clients. You will work closely with cross-functional teams to build robust data pipelines, develop scalable data architectures, and ensure seamless integration between various systems. Your day-to-day responsibilities include mentoring junior engineers, optimizing data processing workflows, and collaborating on complex business problems that require advanced data engineering techniques. The ideal candidate possesses expertise in Python, SQL, and cloud platforms like AWS or Azure. Experience with big data technologies such as Hadoop, Spark, and Kafka is highly valued. This role requires a deep understanding of data governance and security practices to ensure compliance and reliability across our enterprise-scale solutions.

Skills

No specific technical skills mentioned SQL Python AWS Kubernetes Docker CI/CD Git PostgreSQL Snowflake BigQuery Hadoop Spark Airflow Terraform Jenkins Kafka Redis MongoDB Linux

What you'll do

  • Design and implement data engineering solutions for enterprise platforms.
  • Optimize data pipelines to ensure efficient data processing and storage.
  • Develop and maintain big data infrastructure using cloud technologies.
  • Ensure data security and compliance with regulatory standards.
  • Collaborate on the development of analytics tools for business intelligence.

What we're looking for

  • Bachelor’s degree required.
  • Experience in data engineering and enterprise platform technology.
  • Strong skills in relevant technologies and tools.
  • Ability to work on complex data solutions.
  • Eligibility for work visas (H1B, F-1 OPT, etc.) preferred.

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