Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Wilmington, DE
Employment: Full-time
Posted: 76 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 to design, develop, test, and support technical solutions within a full-stack development environment. This role involves collaborating across Agile teams to build robust cloud-based solutions and working alongside developers experienced in machine learning and distributed microservices. Key responsibilities include performing unit tests, conducting code reviews, and mentoring other engineering community members. The position requires proficiency in programming languages such as Java, Scala, and Python, along with experience in Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud data warehousing services including Redshift and Snowflake. Candidates must navigate big data technologies like Spark, Kafka, and Hadoop to solve complex business problems and deliver high-performance data streaming applications within a large-scale financial services context.

Skills

Python Java Scala SQL AWS Microsoft Azure Google Cloud Spark Kafka Redshift Snowflake Hadoop Hive EMR Cassandra MapReduce UNIX Linux Agile

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and deploy 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 big data technologies like Spark, Kafka, and Hadoop.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Manage real-time data and streaming applications within a cloud environment.
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, and 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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