Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Employment: Full-time
Posted: 89 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 $172k

$123k $221k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $132,426–$211,200.

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 the Marketing and Messaging team to build scalable platforms delivering omnichannel messages across owned and paid Adtech channels. In this role, you will collaborate with Agile teams to design, develop, test, and support technical solutions for data movement and distributed computing. You will optimize information systems using sound data design practices, perform unit tests, and mentor other engineering community members. The position requires proficiency in Python, SQL, Spark, Kafka, Snowflake, Databricks, and GenAI. You will work with Open Source RDBMS, NoSQL databases, and AWS cloud-based data warehousing services. The work involves solving complex business problems by creating robust cloud-based solutions that provide hyper-personalized experiences and drive powerful results within the marketing and messaging product area.

Skills

Python SQL AWS Spark Kafka Snowflake Databricks GenAI ETL NoSQL Hadoop Hive EMR Redshift MySQL Mongo Cassandra UNIX Linux Agile GitHub Copilot

What you'll do

Design, develop, test, and support technical solutions using data movement tools and technologies.
Lead a team of developers in building distributed computing and full-stack systems.
Utilize Python, SQL, and Spark to manage RDBMS, NoSQL databases, and cloud data warehouses.
Optimize information systems for end-users and downstream consumers using sound data design practices.
Deliver robust cloud-based solutions to drive hyper-personalized customer experiences.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Mentor other members of the engineering community and share knowledge on new technology 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).
Master's Degree (preferred).
7+ years of experience in application development including Python, SQL, Spark, ETL tools, or AWS Glue (preferred).
4+ years of experience with a public cloud, distributed data tools, real-time streaming, NoSQL, data warehousing, UNIX/Linux, and data modeling (preferred).
2+ years of experience with Agile engineering practices (preferred).

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