Lead Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $179,400–$204,700 / yr
Posted: 59 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $192k

$141k most similar roles pay here $225k

This role pays more than 57% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $180k 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

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As a Lead Data Engineer, you will join an agile team of developers with deep experience in machine learning, distributed microservices, and full-stack systems to design, develop, test, implement, and support technical solutions. You will collaborate with digital product managers to build robust cloud-based solutions that drive powerful experiences for customers seeking financial empowerment. Your daily work involves performing unit tests, conducting code reviews, and mentoring other members of the engineering community while staying current on technology trends. The role requires proficiency in Java, Scala, Python, and SQL, along with experience in Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud-based data warehousing services such as Redshift or Snowflake. You will also utilize distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, and UNIX/Linux shell scripting to solve complex problems.

Skills

Python SQL Scala Java AWS Snowflake Redshift Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL Linux Shell Scripting Agile

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools and technologies.
Build and support robust cloud-based data solutions using Redshift or Snowflake.
Develop applications using programming languages such as Java, Scala, and Python.
Manage and integrate distributed microservices and big data technologies into production systems.
Perform unit tests and conduct code reviews to ensure high performance and quality.
Mentor other members of the engineering community on technical trends and new technologies.
Deliver scalable solutions for real-time data and streaming applications.

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 distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
4+ years of experience with NoSQL implementation (Mongo, Cassandra) and data warehousing (Redshift or Snowflake).
2+ years of experience with Agile engineering practices.
Bachelor’s Degree.

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