Lead Data Engineer

Capital One Financial

Actively hiring
McLean, VA · New York, NY Posted 16 days ago $197,300$225,100 / year

At a glance

AI generated

TL;DR

As a Lead Data Engineer at COPSSC, you will join a dynamic team responsible for architecting and implementing robust data solutions. Your primary responsibilities include designing scalable data pipelines, integrating diverse data sources, and building automated ETL processes to support business intelligence initiatives. You will work closely with cross-functional teams to ensure data quality and reliability, driving the development of advanced analytics capabilities. The ideal candidate possesses extensive experience in cloud platforms like AWS or Azure, proficient in Python, SQL, and big data technologies such as Hadoop and Spark. This role demands a deep understanding of data warehousing concepts and strong problem-solving skills to address complex business challenges at scale.

Skills

Python SQL AWS Kubernetes Docker CI/CD Git PostgreSQL Snowflake BigQuery Hadoop Spark Airflow Terraform Jenkins Scikit-learn Pandas NumPy Matplotlib

What you'll do

  • Design and implement data engineering solutions to support business intelligence needs.
  • Optimize data pipelines for efficiency and scalability across multiple projects.
  • Develop ETL processes to integrate diverse data sources into a unified platform.
  • Ensure data quality, accuracy, and security in all data management practices.
  • Mentor junior engineers and provide technical guidance on complex problems.

What we're looking for

  • Bachelor’s Degree required
  • Extensive experience in data engineering and architecture
  • Proficiency in big data technologies and tools
  • Strong skills in cloud platforms like AWS or Azure
  • Experience with data warehousing and ETL processes
  • Ability to lead and mentor a team of engineers
  • Knowledge of data security and privacy regulations

Market check

Salary context

This $197,300–$225,100 range sits above 80% of similar postings on FindRole.

Peer median band

$125,050$204,700

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$126,800$209,187

Middle half of comparable postings.

Based on 240 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

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

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

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

Lead Data Engineer

Capital One Financial

Mclean, Va, US 15 days ago $197,300$225,100
AWS Python Spark CI/CD APIs UI development SQL Data engineering Big data Analytics Regulatory compliance Cloud services DevOps

Lead Data Engineer

Lam Research

Fremont, Ca,Us, US 38 days ago $141,000$307,000
Azure Microsoft Fabric Python SQL Spark Azure Databricks Azure Data Factory Synapse CI/CD Neo4j Azure AI Search Medallion architecture Lakehouse architecture Kafka Prometheus Grafana

Lead Data Engineer

Capital One Financial

Plano, Tx, US 18 days ago $179,400$204,700
Java Scala Python Spark Flink Kafka Snowflake Redshift DynamoDB OpenSearch CI/CD AWS Agile_methodologies