Lead Data Engineer

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 37 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 $180k

This role $211k

$140k most similar roles pay here $234k

This role pays more than 81% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $180k 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

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Lead Data Engineer will join an Agile team to design, develop, test, implement, and support technical solutions within a full-stack development environment. This role involves collaborating with developers experienced in machine learning, distributed microservices, and full-stack systems to build robust cloud-based solutions that drive financial empowerment experiences. The daily work includes performing unit tests, conducting code reviews, and mentoring other members of the engineering community while staying current on emerging technology trends. Key technical requirements include proficiency in Java, Scala, Python, and SQL, along with experience in Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud-based data warehousing services such as Redshift and Snowflake. The role also requires expertise in distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi within a UNIX/Linux environment to solve complex business problems.

Skills

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

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build robust cloud-based data solutions using services like Redshift or Snowflake to drive customer experiences.
Develop applications using programming languages including Java, Scala, and Python.
Manage and implement large-scale data systems using RDBMS, NoSQL databases, and distributed microservices.
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.
Implement real-time data and streaming applications within an Agile development framework.

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 tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL databases, data warehousing services like Redshift or Snowflake, and UNIX/Linux environments.
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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