Senior Lead Data Engineer (Enterprise Platforms Technology)

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · Richmond, VA
Salary
$229,900–$262,400 / yr
Posted
29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $246k
$139k most similar roles pay here $276k

This role pays more than 91% of similar roles. Most pay $152,543–$223,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $188k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

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

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We are seeking a Senior Lead Data Engineer to join our Enterprise Platforms Technology team, where you will play a pivotal role in designing and implementing robust data solutions. In this senior-level position, you will collaborate with cross-functional Agile teams to develop innovative technical solutions using full-stack development tools and technologies. Your responsibilities include architecting scalable data pipelines, integrating diverse data sources, and ensuring the reliability and efficiency of our data infrastructure. Ideal candidates possess expertise in Python, SQL, and cloud platforms like AWS or Azure, along with a strong background in data engineering practices. This role involves tackling complex business challenges at scale within a fast-paced environment, making it essential to have a deep understanding of emerging technologies and their applications in enterprise settings.

Skills

Python SQL BigQuery Snowflake Hadoop Spark Kafka Docker Kubernetes Terraform CI/CD Git GitHub Jenkins AWS Azure GCP PostgreSQL MongoDB Redis ELK_stack Prometheus Grafana

What you'll do

  • Design and develop complex data engineering solutions using full-stack development tools.
  • Implement and maintain technical solutions for enterprise platforms.
  • Test and debug data systems to ensure reliability and performance.
  • Support the deployment of new technologies in data infrastructure.
  • Provide guidance and mentorship to junior data engineers on Agile teams.

What we're looking for

  • 5+ years of experience as a data engineer or related role.
  • Proven expertise in designing, developing, and implementing technical solutions.
  • Strong collaboration skills working within and across Agile teams.
  • Experience with full-stack development tools and technologies required.
  • Bachelor’s Degree in Computer Science, Engineering, or related field.
  • Master's Degree preferred but not mandatory.

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