Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VANew York, NYWilmington, DE
Salary: $197,300–$225,100 / yr
Posted: 64 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k

This role $211k

$136k most similar roles pay here $235k

This role pays more than 76% of similar roles. Most pay $145,700–$211,200 — the shaded band above. At the midpoint, this role pays about $211k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

Role Posting Log in to save

Lead Data Engineer (Bank Tech) joins the Bank Tech team to develop modular, resilient, and cloud-native solutions for a modernized core banking platform. This role involves collaborating with Agile teams to design, develop, test, and support full-stack technical solutions that power critical lines of business like Retail and Commercial Banking. The engineer will work alongside experts in machine learning and distributed microservices to build real-time data streaming applications and robust cloud-based systems. Key technologies include Java, Scala, Python, and SQL, along with Open Source RDBMS and NoSQL databases such as Mongo and Cassandra. The role also utilizes big data tools like Hadoop, Hive, Kafka, and Spark, alongside cloud warehousing services including Redshift and Snowflake. Candidates will perform unit tests and code reviews to ensure high-performance results within a complex financial technology environment.

Skills

Python SQL Scala Java AWS Azure Redshift Snowflake Kafka Spark Hadoop Hive EMR Cassandra MySQL UNIX Linux Shell Scripting Microservices Agile Machine Learning

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools and technologies.
Build robust cloud-based solutions to power critical lines of business like retail and commercial banking.
Develop real-time data processing and streaming applications using distributed microservices.
Utilize programming languages including Java, Scala, and Python to build scalable systems.
Manage large-scale data using RDBMS, NoSQL databases, and cloud warehousing services like Redshift or Snowflake.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Mentor other members of the engineering community and share knowledge on emerging technology trends.

What we're looking for

At least 4 years of experience in application development.
At least 2 years of experience in big data technologies.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
7+ years of experience in application development including Python, SQL, Scala, or Java.
4+ years of experience with public cloud platforms and distributed data/computing tools like Hadoop, Kafka, or Spark.
4+ years of experience with real-time data streaming, NoSQL implementation, and data warehousing (Redshift or Snowflake).
4+ years of experience with UNIX/Linux including basic commands and shell scripting.
Work authorization that require immigration support from an employer.

Save