Lead Data Engineer (Intelligent Foundations and Experiences)

Capital One Financial

Actively hiring
McLean, VA · Plano, TX · Richmond, VA Posted 84 days ago $197,300–$225,100 / year
View original post Log in to save

At a glance

AI generated

TL;DR

As a Lead Data Engineer at Intelligent Foundations and Experiences, you will join a dynamic team responsible for architecting scalable data solutions. Your primary responsibilities include designing and implementing robust data pipelines, ensuring efficient data storage and retrieval systems, and collaborating with cross-functional teams to drive innovation in data-driven initiatives. You will work extensively with cloud-based technologies such as AWS or Azure, leveraging tools like Apache Spark, Hadoop, and Kubernetes for large-scale data processing and analytics. Strong skills in Python, SQL, and experience with machine learning frameworks are highly valued. This role involves tackling complex business challenges by optimizing data infrastructure to support real-time analytics and predictive modeling at enterprise scale.

Skills

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

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.
  • Develop ETL processes to integrate diverse data sources into a unified repository.
  • Ensure data quality and integrity through rigorous testing and validation procedures.
  • Collaborate with stakeholders to define data requirements and project scope.

What we're looking for

  • Bachelor’s Degree or higher in Computer Science, Engineering, or related field.
  • Extensive experience in data engineering and architecture design.
  • Proficiency in big data technologies such as Hadoop, Spark, and Kafka.
  • Strong skills in SQL and NoSQL databases for efficient data management.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Excellent problem-solving abilities and analytical mindset.
  • Leadership experience in managing cross-functional teams.

Market check

Salary context

This $197,300–$225,100 range sits above 77% of similar postings on FindRole.

Peer median band

$125,000–$220,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$126,800–$211,200

Middle half of comparable postings.

Based on 239 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 489 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

More like this

Similar roles

Lead Data Engineer

Capital One Financial

Richmond, Va, US 91 days ago $197,300–$225,100
Python SQL Apache Spark Hadoop AWS Azure Git Docker Kubernetes CI/CD PostgreSQL MongoDB Snowflake Airflow Terraform Jenkins Tableau PowerBI

Lead Data Engineer

Capital One Financial

Mclean, Va, US 16 days ago $197,300–$225,100
Python SQL AWS Kubernetes Docker CI/CD Git PostgreSQL Snowflake BigQuery Hadoop Spark Airflow Terraform Jenkins Scikit-learn Pandas NumPy Matplotlib

Lead Data Engineer

Capital One Financial

Mclean, Va, US 60 days ago $197,300–$225,100
Python SQL Pandas NumPy Apache Spark Hadoop AWS Kubernetes Docker CI/CD Git Jenkins PostgreSQL MongoDB

Lead Data Engineer (Enterprise Platforms Technology)

Capital One Financial

Mclean, Va, US 21 days ago $197,300–$225,100
Python SQL Apache Spark Hadoop AWS Azure Google Cloud Platform Kubernetes Docker CI/CD Git Jenkins Terraform PostgreSQL MongoDB Snowflake Airflow Tableau PowerBI

Lead Data Engineer

Capital One Financial

San Francisco, Ca, US 15 days ago $215,200–$245,600
Python SQL Pandas NumPy Scikit-learn Apache Spark AWS Docker Kubernetes CI/CD Git Jenkins PostgreSQL MongoDB Hadoop BigQuery