Lead Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILPlano, TX
Salary: $179,400–$204,700 / yr
Posted: 85 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $192k

$141k most similar roles pay here $225k

This role pays more than 57% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $192k 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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As a Lead Data Engineer, you will join an agile team of developers with deep experience in machine learning, distributed microservices, and full-stack systems to design, develop, test, implement, and support technical solutions. You will collaborate with digital product managers to deliver robust cloud-based solutions that drive powerful experiences for customers. Your daily work involves performing unit tests and conducting code reviews to ensure high performance and elegant coding. The role requires proficiency in Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services such as Redshift and Snowflake. You will also utilize big data tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi while working within UNIX/Linux environments to solve complex problems in the financial empowerment space.

Skills

Python SQL Scala Java AWS Azure Google Cloud Redshift Snowflake Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL UNIX Linux 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 platforms like Redshift or Snowflake.
Develop applications using programming languages including Java, Scala, and Python.
Manage distributed microservices and large-scale big data systems.
Perform unit tests and conduct peer code reviews to ensure performance and quality.
Mentor other members of the engineering community on technical trends and new technologies.
Implement real-time data streaming applications and NoSQL database solutions.

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, data warehousing services like Redshift or Snowflake, and UNIX/Linux shell scripting.
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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