Lead Data Engineer - Nexus Data Products

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 7 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k

This role $211k

$132k most similar roles pay here $235k

This role pays more than 76% of similar roles. Most pay $141,725–$211,200 — the shaded band above. At the midpoint, this role pays about $211k 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer - Nexus Data Products

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As a Lead Data Engineer on the Nexus Data Products team, you will lead the design and implementation of scalable data solutions that drive business insights. Your day-to-day responsibilities include overseeing data integration processes, building robust ETL pipelines, and ensuring data quality and security. You will work closely with cross-functional teams to identify data needs and develop innovative solutions using cutting-edge technologies. The role requires expertise in Python, SQL, and cloud platforms like AWS or Azure. Strong skills in data warehousing, big data processing frameworks such as Apache Spark, and experience with CI/CD practices are essential. This position offers the opportunity to tackle complex challenges within a fast-growing enterprise environment, focusing on optimizing data infrastructure for large-scale analytics and decision-making processes.

Skills

Python SQL AWS Kubernetes Docker CI/CD Git PostgreSQL Snowflake BigQuery Hadoop Spark Airflow Terraform Jenkins Prometheus Grafana

What you'll do

Design and implement data engineering solutions to support business intelligence needs.
Optimize data pipelines for efficiency and scalability across multiple platforms.
Ensure data quality and integrity through rigorous testing and validation processes.
Develop ETL jobs to extract, transform, and load data from various sources.
Collaborate with stakeholders to understand data requirements and technical specifications.

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 skills in programming languages like Python or Java.
Experience with data warehousing and ETL processes.
Knowledge of machine learning and statistical analysis tools.

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