Senior Manager Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Chicago, IL
Employment: Full-time
Posted: 50 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 $181k

$127k $234k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $137,987–$223,750.

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 2204 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1138 roles with salary data.

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At a glance

TL;DR · Senior Manager Data Engineer

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The Senior Manager Data Engineer (Databricks, Pyspark, Snowflake) leads a team of developers to design, develop, test, and support technical solutions within an Agile environment. This role involves building robust cloud-based solutions and full-stack systems while managing a team with deep experience in machine learning and distributed microservices. Key responsibilities include performing unit tests, conducting code reviews, and mentoring engineering community members. The position requires proficiency in programming languages such as Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo and Cassandra, and cloud data warehousing services including Redshift and Snowflake. The work focuses on driving a major transformation by delivering high-performance data solutions to help millions of Americans achieve financial empowerment through emerging technologies.

Skills

Databricks PySpark Snowflake Python SQL Scala Java AWS Microsoft Azure Google Cloud Spark Kafka Redshift Hadoop Hive EMR NoSQL Cassandra MySQL UNIX Linux Agile Machine Learning

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Utilize Java, Scala, Python, and NoSQL databases to build data solutions.
Develop and manage robust cloud-based data warehousing solutions using Redshift or Snowflake.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Deliver cloud-based solutions that drive digital product experiences for customers.

What we're looking for

At least 6 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).
At least 4 years of people management experience.
Master's Degree (preferred)
9+ 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)
5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred)
4+ years experience working on real-time data and streaming applications (preferred)
4+ years of experience with NoSQL implementation (Mongo, Cassandra) (preferred)
4+ years of data warehousing experience (Redshift or Snowflake) (preferred)
4+ years of experience with UNIX/Linux including basic commands and shell scripting (preferred)
2+ years of experience with Agile engineering practices (preferred)
6+ years of people management experience (preferred)

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