Lead Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Chicago, IL
Employment: Full-time
Posted: 111 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $164k

$118k $211k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,200.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer joins a team building robust, large-scale data pipelines to drive intelligent, targeted customer acquisition campaigns. You will design, develop, test, and support technical solutions within a full-stack development environment, collaborating with Agile teams and developers experienced in machine learning and distributed microservices. Daily responsibilities include performing unit tests, conducting code reviews, and mentoring other engineering community members. You will utilize a modern stack including Python, Spark, AWS, Databricks, Snowflake, and Airflow to manage high-volume batch and digital data streams. The role requires proficiency in Java, Scala, SQL, and NoSQL databases like Mongo or Cassandra. You will solve complex big data challenges involving immense volume and velocity while leveraging interactive AI tools to accelerate development workflows for cloud-based data warehousing services.

Skills

Python Spark AWS Databricks Snowflake Airflow Java Scala SQL Redshift Hadoop Kafka NoSQL Cassandra Hive EMR MapReduce UNIX Linux Agile

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build robust, large-scale data pipelines to manage high-volume batch and digital data streams.
Utilize Python, Java, Scala, Spark, and Snowflake to manage complex big data challenges.
Deliver cloud-based solutions that drive customer acquisition campaigns and financial empowerment experiences.
Perform unit tests and conduct code reviews to ensure performance tuning and rigorous design.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Leverage interactive AI tools to accelerate the development workflow and increase productivity.

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, Google Cloud).
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred).
4+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred).
4+ years of experience with real-time data and streaming applications (preferred).
Bachelor’s Degree.

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