Senior Lead Data Engineer, Enterprise Platforms Technology

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Salary: $229,900–$262,400 / yr
Posted: 49 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $246k

$145k most similar roles pay here $275k

This role pays more than 91% of similar roles. Most pay $165,326–$214,600 — the shaded band above. At the midpoint, this role pays about $246k versus about $190k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Data Engineer, Enterprise Platforms Technology

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Sr. Lead Data Engineer (Enterprise Platforms Technology) joins the Marketing and Messaging team to build scalable platforms delivering omnichannel messages across owned and paid Adtech channels. As a lead developer, you will collaborate with Agile teams to design, develop, test, and support technical solutions using data movement tools and distributed computing systems. You will optimize information systems for end-user and downstream consumers through sound data design practices while mentoring other engineers. The role requires proficiency in Python, SQL, Scala, or Java, along with experience in Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services such as Snowflake or Redshift. Technical requirements include expertise in Spark, Kafka, Hadoop, Hive, and EMR, alongside skills in UNIX/Linux shell scripting and AI-assisted coding tools to deliver robust, high-performance cloud-based solutions for hyper-personalized customer experiences.

Skills

Python SQL Snowflake Databricks AWS Azure Spark Kafka Hadoop Hive Redshift NoSQL Cassandra MySQL Scala Java UNIX Linux Shell Scripting Agile

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.
Develop cloud-based solutions using Python, SQL, Snowflake, or Databricks to drive customer experiences.
Optimize information systems for end-users and downstream consumers through sound data design practices.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Perform unit tests and conduct peer code reviews to ensure performance and high-quality coding standards.
Build scalable platforms to deliver omnichannel messages across owned and paid Adtech channels.

What we're looking for

Bachelor's Degree or Master's Degree.
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).
Experience with programming languages including Python, SQL, Scala, or Java.
Experience with distributed computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL.
Experience with data warehousing (Redshift or Snowflake) and NoSQL implementations (Mongo, Cassandra).
Experience with Agile engineering practices and UNIX/Linux shell scripting.

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