Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VACambridge, MA
Salary: $197,300–$225,100 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k

This role $211k

$136k most similar roles pay here $235k

This role pays more than 79% of similar roles. Most pay $146,687–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $179k 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 688 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 681 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 innovative tech company, you will join a dynamic team focused on integrating cutting-edge technologies with data solutions. Your primary responsibilities include designing and implementing robust data pipelines, ensuring seamless data integration across various platforms, and optimizing data infrastructure to support real-time analytics and machine learning applications. You will work closely with cross-functional teams to identify data needs, develop scalable ETL processes, and maintain high-quality data governance practices. Proficiency in Python, SQL, and cloud-based technologies such as AWS or Azure is essential, along with experience in big data tools like Hadoop and Spark. This role demands a deep understanding of data architecture and the ability to tackle complex business challenges through advanced data engineering solutions.

Skills

Python SQL Hadoop Spark AWS Azure Git Docker Kubernetes CI/CD Snowflake PostgreSQL BigQuery

What you'll do

Design and implement data pipelines to support business intelligence needs.
Optimize data storage solutions to ensure efficient retrieval and analysis.
Develop ETL processes to integrate diverse data sources effectively.
Ensure data quality through validation and cleansing procedures.
Collaborate on the development of machine learning models using big data.

What we're looking for

Bachelor’s Degree required
Extensive experience in data engineering and marrying data with emerging technologies
Strong background in designing and implementing large-scale data systems
Proficiency in relevant programming languages such as Python, Java, or Scala
Experience with cloud platforms like AWS, Azure, or Google Cloud
Deep understanding of big data tools and frameworks (e.g., Hadoop, Spark)
Excellent problem-solving skills and ability to work on complex projects

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