Senior Lead Data Engineer

Capital One Financial

Quick summary

Work type
On-site
Location
New York, NY
Salary
$250,800–$286,200 / yr
Posted
25 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $268k
$114k most similar roles pay here $305k

This role pays more than 97% of similar roles. Most pay $144,262–$217,725 — the shaded band above. At the midpoint, this role pays about $268k versus about $181k 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 · Senior Lead Data Engineer

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As a Senior Lead Data Engineer at COPSSC, you will join a dynamic team responsible for architecting and implementing large-scale data solutions. Your primary responsibilities include designing robust data pipelines, developing scalable ETL processes, and building data lakes to support advanced analytics and machine learning initiatives. You will work closely with cross-functional teams to ensure data quality and reliability across various business units. The ideal candidate possesses extensive experience in cloud platforms like AWS or Azure, proficiency in Python and SQL, and a strong understanding of big data technologies such as Hadoop and Spark. This role requires expertise in managing complex datasets at scale, addressing intricate business challenges, and driving innovation within the organization’s expansive data ecosystem.

Skills

Python SQL Hadoop Spark AWS Azure Git Docker Kubernetes CI/CD Terraform PostgreSQL MongoDB Snowflake Airflow Tableau PowerBI

What you'll do

  • Design and implement large-scale data processing systems.
  • Optimize data pipelines for efficiency and reliability.
  • Develop data integration solutions across multiple platforms.
  • Ensure data quality through validation and cleansing processes.
  • Mentor junior engineers in best practices and technical skills.

What we're looking for

  • Bachelor’s degree required.
  • Master's degree preferred.
  • Extensive experience in data engineering roles.
  • Proven leadership skills in managing data engineering teams.
  • Expertise in designing and implementing large-scale data systems.
  • Deep knowledge of cloud-based data storage and processing technologies.

Related searches

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