Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, IL
Salary: $179,400–$204,700 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $192k

$133k most similar roles pay here $220k

This role pays more than 61% of similar roles. Most pay $141,725–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $176k 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 782 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 778 roles with salary data.

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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 including Python, SQL, and Java is essential, along with strong skills in data warehousing, ETL processes, and machine learning frameworks. This role involves addressing complex business challenges related to large-scale data processing and analytics within the financial services domain, requiring a deep understanding of regulatory compliance and data security standards.

Skills

Python SQL AWS Kubernetes Docker CI/CD Git PostgreSQL Snowflake BigQuery Hadoop Spark Airflow Terraform Jenkins Scikit-learn Pandas Numpy Matplotlib Seaborn

What you'll do

Design and implement data engineering solutions to support business intelligence needs.
Optimize data pipelines for efficiency and reliability in large-scale environments.
Develop ETL processes to integrate diverse data sources into a unified platform.
Ensure data quality and integrity through rigorous testing and validation procedures.
Mentor junior engineers and provide technical guidance on complex projects.

What we're looking for

Bachelor’s Degree required
Extensive experience in data engineering and architecture
Proficiency in big data technologies and tools
Strong background in database management and SQL
Experience with cloud platforms like AWS or Azure
Ability to lead and mentor a team of engineers
Knowledge of software development lifecycle and methodologies

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