Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$197,300–$225,100 / yr
Posted
23 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $211k
$136k most similar roles pay here $235k

This role pays more than 77% of similar roles. Most pay $145,625–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $178k 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 · Lead Data Engineer

Lead Data Engineer - Nexus Data Products joins a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems. In this role, you will collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools. You will build robust cloud-based solutions to solve complex business problems while performing unit tests and code reviews to ensure performance. The work involves utilizing programming languages such as Java, Scala, Python, and SQL alongside Open Source RDBMS and NoSQL databases like Mongo or Cassandra. Additionally, you will work with cloud data warehousing services including Redshift and Snowflake, while leveraging distributed computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, and Spark. The role focuses on delivering high-performance systems within a collaborative environment to drive impactful user experiences.

What you'll do

  • Design, develop, test, and implement technical solutions using full-stack development tools and technologies.
  • Build robust cloud-based data solutions using Redshift or Snowflake to improve customer experiences.
  • Develop applications using programming languages such as Java, Scala, and Python.
  • Manage distributed microservices and large-scale data systems involving NoSQL and RDBMS databases.
  • Perform unit tests and conduct peer code reviews to ensure high performance and quality.
  • Mentor other members of the engineering community and share knowledge on emerging technology trends.
  • Utilize interactive AI tooling to accelerate development productivity and project delivery.

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, or Google Cloud).
  • Experience with programming languages including Java, Scala, Python, and SQL.
  • Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
  • Experience with NoSQL databases (Mongo, Cassandra) and cloud data warehousing (Redshift or Snowflake).
  • Experience with Agile engineering practices and interactive AI tooling to accelerate productivity.
  • Work authorization that require immigration support from an employer.

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