Lead Data Engineer

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · Richmond, VA · Chicago, IL
Salary
$179,400–$204,700 / yr
Posted
79 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.

Most-posted roles

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 join a dynamic and innovative team responsible for architecting scalable data solutions. Your primary responsibilities include designing and implementing robust data pipelines, ensuring high-quality data governance practices, and collaborating with cross-functional teams to drive data-driven decision-making processes. You will work extensively with cloud-based technologies such as AWS or Azure, leveraging tools like Apache Spark, Hadoop, and Kubernetes. Proficiency in programming languages such as Python, SQL, and Java is essential, along with strong skills in machine learning frameworks and big data analytics. This role involves tackling complex business challenges related to large-scale data processing and analysis within the financial services sector, where accuracy and efficiency are paramount.

Skills

Apache Spark Hadoop Python SQL AWS Azure Google Cloud Platform Kafka Docker CI/CD Git Jenkins Terraform PostgreSQL Snowflake Airflow BigQuery Tableau PowerBI

What you'll do

  • Design and implement data architecture solutions to support business needs.
  • Develop ETL processes to ensure efficient data flow and storage.
  • Optimize data processing pipelines for performance and scalability.
  • Ensure data security and compliance with regulatory standards.
  • Mentor junior engineers and provide technical guidance on projects.

What we're looking for

  • Bachelor’s Degree required
  • Extensive experience in data engineering and architecture
  • Proficiency in big data technologies and cloud platforms
  • Strong leadership skills for managing data engineering teams
  • Experience with data governance and security practices
  • Knowledge of machine learning and statistical analysis techniques

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