Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: Richmond, VA · McLean, VA · Cambridge, MA
Salary: $197,300–$225,100 / yr
Posted: 4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k

This role $211k

$115k most similar roles pay here $237k

This role pays more than 74% of similar roles. Most pay $126,800–$213,750 — the shaded band above. At the midpoint, this role pays about $211k 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 innovative tech company, you will join a dynamic team of data professionals and lead the design and implementation of robust data solutions. Your primary responsibilities include architecting scalable data pipelines, integrating diverse data sources, and building advanced analytics systems to support business intelligence needs. You will work with cutting-edge technologies such as Apache Hadoop, Spark, and Kafka, while leveraging Python and SQL for data processing and analysis. This role requires expertise in cloud platforms like AWS or Azure, along with a strong understanding of database management and ETL processes. The ideal candidate has experience in large-scale data engineering projects and can effectively communicate complex technical concepts to non-technical stakeholders.

Skills

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

What you'll do

Design and implement data pipelines to support business intelligence needs.
Optimize data storage solutions for efficiency and cost-effectiveness.
Develop ETL processes to ensure clean and timely data delivery.
Monitor system performance and troubleshoot issues affecting data integrity.
Lead the documentation of data architecture and engineering practices.

What we're looking for

Bachelor’s Degree required
Extensive experience in data engineering and marrying data with emerging technologies
Strong skills in designing and implementing large-scale data systems
Proven ability to lead data engineering teams effectively
Knowledge of relevant programming languages and tools for data processing

Hybrid

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