Senior Manager Data Engineer

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $209,000–$238,500 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k

This role $224k

$130k most similar roles pay here $250k

This role pays more than 81% of similar roles. Most pay $141,812–$216,587 — the shaded band above. At the midpoint, this role pays about $224k versus about $179k 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 1042 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1036 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager Data Engineer

Role Posting Log in to save

As a Senior Manager Data Engineer (Databricks, Pyspark, Snowflake), you will join an agile team to design, develop, test, implement, and support technical solutions using full-stack development tools. You will lead a team of developers with expertise in machine learning, distributed microservices, and full-stack systems while mentoring other members of the engineering community. Your daily work involves building robust cloud-based solutions to solve complex business problems and improve customer experiences. The role requires proficiency in programming languages such as Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services including Redshift and Snowflake. You will also utilize distributed computing tools like Spark, Hadoop, and Kafka while performing unit tests to ensure code is rigorously designed and effectively tuned for performance.

Skills

Databricks PySpark Snowflake Python SQL Scala Java AWS Microsoft Azure Google Cloud Redshift Hadoop Hive EMR Kafka Spark Gurobi MySQL Cassandra UNIX Linux Shell Scripting Agile

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools and technologies.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Develop cloud-based data warehousing solutions using platforms like Snowflake or Redshift.
Write production code using programming languages including Java, Scala, Python, and SQL.
Perform unit tests and conduct peer code reviews to ensure performance and high-quality design.
Mentor other members of the engineering community and stay current on emerging technology trends.
Deliver robust cloud-based solutions that drive customer experiences in collaboration with product managers.

What we're looking for

Master's Degree (preferred).
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, or Google Cloud).
At least 4 years of people management experience.
Experience with Python, SQL, Scala, Java, and NoSQL databases (preferred).
Experience with distributed computing tools, real-time streaming, data warehousing, and Agile practices (preferred).

Save