Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Employment: Full-time
Posted: 57 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $170k

$116k $223k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$213,000.

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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At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer-IC joins a collaborative team to design, develop, test, and support technical solutions within a full-stack development environment. Working alongside developers experienced in machine learning and distributed microservices, the successful candidate will build robust cloud-based solutions to drive financial empowerment experiences. Day-to-day responsibilities include performing unit tests, conducting code reviews, and mentoring other engineering community members. The role requires proficiency in Java, Scala, Python, SQL, and shell scripting, alongside experience with Open Source RDBMS, NoSQL databases like Mongo and Cassandra, and cloud data warehousing services such as Redshift and Snowflake. Candidates must navigate big data technologies including Spark, MapReduce, Hadoop, Hive, EMR, and Kafka to manage real-time data and streaming applications within an Agile engineering framework.

Skills

Python SQL Java Scala AWS Microsoft Azure Google Cloud Spark Redshift Snowflake Kafka Hadoop Hive Cassandra MySQL EMR MapReduce UNIX Linux Agile Machine Learning NoSQL RDBMS

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and maintain distributed microservices and machine learning systems.
Utilize Java, Scala, Python, and SQL to manage RDBMS and NoSQL databases.
Develop and manage cloud-based data warehousing solutions using Redshift and Snowflake.
Deliver robust cloud-based solutions to drive digital product 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 trends.

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, Google Cloud).
7+ years of experience with data pipelines including Python, SQL, Scala, or Java (preferred).
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred).
4+ years of experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) (preferred).
4+ years of experience with NoSQL implementation (Mongo, Cassandra) (preferred).
Bachelor’s Degree.

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