Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: Wilmington, DE
Salary: $179,400–$204,700 / yr
Posted: 3 days ago
Nearby: 77 roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $192k

$127k most similar roles pay here $231k

This role pays more than 62% of similar roles. Most pay $144,714–$211,400 — the shaded band above. At the midpoint, this role pays about $192k versus about $178k 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 573 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 569 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

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As a Lead Data Engineer in the Bank Tech Data, Decisioning, & Market Services Domain, you will play a pivotal role in shaping our modern data architecture and integrating advanced AI capabilities into our platform. Your responsibilities include designing scalable data pipelines, developing robust ETL processes, and building predictive models to support business and capital market teams. You will work closely with cross-functional teams to ensure that data is leveraged effectively for decision-making purposes. The ideal candidate possesses strong expertise in Python, SQL, and big data technologies such as Hadoop and Spark. Experience with machine learning frameworks like TensorFlow or PyTorch is a plus. This role demands proficiency in cloud platforms like AWS or Azure, along with a deep understanding of data governance and security practices.

Skills

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

What you'll do

Design and implement modern data architecture to support predictive analytics.
Integrate diverse data sources into a cohesive platform for business insights.
Develop scalable AI-driven decisioning models for efficient client outcomes.
Ensure responsible use of data while maintaining compliance with regulations.
Lead the evolution of predictive insights through advanced analytical techniques.

What we're looking for

Minimum of 5 years experience in data engineering or related field.
Proven expertise in building and maintaining large-scale data architectures.
Strong background in integrating AI capabilities into business solutions.
Experience with predictive analytics and scaling AI-driven decision models.
Bachelor’s Degree required, preferably in Computer Science, Engineering, or Math.

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