Senior Lead Data Engineer, Enterprise Platforms Technology

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
McLean, VANew York, NYRichmond, VA
Employment
Full-time
Posted
95 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $170k
$94k $239k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $137,600–$201,600.

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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View all roles at Capital One Financial

At a glance

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

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The 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 across Agile teams to design, develop, test, and support technical solutions using data movement tools and distributed computing. You will optimize information systems for downstream consumers using sound data design practices while performing unit tests and code reviews. 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 data warehousing services including Snowflake and Databricks. You will also utilize AWS, Microsoft Azure, or Google Cloud to deliver robust cloud-based solutions for hyper-personalized customer experiences.

Skills

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

What you'll do

  • Design, develop, test, implement, and support technical solutions using data movement tools.
  • Lead a team of developers in building distributed computing and full-stack systems.
  • Utilize Python, SQL, and cloud data warehousing services like Snowflake and Databricks.
  • Optimize information systems for end-users and downstream consumers using sound data design practices.
  • Deliver robust cloud-based solutions to drive personalized customer experiences.
  • Perform unit tests and conduct code reviews to ensure performance and design quality.
  • Mentor other members of the engineering community on new technologies and tech trends.

What we're looking for

  • 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, Google Cloud).
  • Master's Degree (preferred)
  • 9+ years of experience in application development including Python, SQL, Scala, or Java (preferred)
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred)
  • 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) (preferred)

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