Senior Lead Data Engineer (Intelligent Foundations and Experiences)

Capital One; Cambridge (MA); On-site; USD 160,000 - 210,000; Full time

Job summary

Capital One is seeking a Senior Lead Data Engineer to drive a major transformation in intelligent foundations and experiences. You will lead developers skilled in machine learning, distributed microservices, and full-stack data solutions, using Java, Scala, Python, and cloud data warehousing like Redshift or Snowflake.

You will collaborate with Agile teams, mentor engineers, and deliver robust cloud-based experiences that empower millions of Americans with financial empowerment.

Qualifications

• Bachelor's degree required; Master’s preferred.
• Experience with big data technologies and cloud computing.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support technical solutions.
• Lead a team of developers with experience in machine learning, distributed microservices, and full-stack systems.
• Utilize Java, Scala, Python, SQL and cloud data warehousing services like Redshift/Snowflake.
• Mentor engineers, share knowledge, and participate in tech communities.
• Partner with product managers to deliver cloud-based solutions maximizing user impact.
• Perform unit tests and code reviews to ensure performance and quality.

Skills

Team leadership

Mentoring

Agile collaboration

Problem solving

Education

Bachelor’s degree

Master’s degree

Tools

Java

Scala

Python

SQL

NoSQL databases

Redshift

Snowflake

Hive

Spark

Kafka

Hadoop

EMR

UNIX/Linux shell

Job description

Senior Lead Data Engineer (Intelligent Foundations and Experiences)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies.
• Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Redshift and Snowflake.
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
• Collaborate with digital product managers and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.

Basic Qualifications:

• Bachelor’s Degree
• At least 6 years of experience in application development (internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master's Degree
• 9+ years of experience in application development including Python, SQL, Scala, or Java
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 5+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ years of experience working on real-time data and streaming applications
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 4+ years of data warehousing experience (Redshift or Snowflake)
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting
• 2+ years of experience with Agile engineering practices
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.