Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Chicago, ILMcLean, VA
Employment: Full-time
Posted: 46 days ago
Freshness: Confirmed live today
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 collaborative team of developers to design, develop, test, and support technical solutions within a full-stack development environment. Working alongside experts in machine learning and distributed microservices, the successful candidate will build robust cloud-based solutions to drive financial empowerment experiences. Day-to-day responsibilities include performing unit tests, conducting code reviews, and mentoring other engineering community members. 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 data warehousing services including Redshift and Snowflake. Technical skills must also encompass distributed computing tools like Spark, Kafka, and Hadoop, as well as experience with UNIX/Linux shell scripting and Agile engineering practices.

Skills

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

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and maintain robust cloud-based solutions using Redshift, Snowflake, and other data warehousing services.
Develop applications using programming languages including Java, Scala, and Python.
Implement distributed microservices and manage NoSQL and RDBMS databases.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Deliver real-time data and streaming applications to drive customer experiences.
Mentor other members of the engineering community and share knowledge on emerging tech 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, Google Cloud).
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with a public cloud, distributed data tools, real-time streaming, NoSQL, data warehousing, or UNIX/Linux (preferred).
2+ years of experience with Agile engineering practices (preferred).
Experience leveraging interactive AI tooling to accelerate productivity (preferred).
Bachelor’s Degree.

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