Senior Lead Data Engineer

Capital One; New York (NY); On-site; USD 250,800 - 286,200; Full time

Job summary

Capital One is actively seeking a Senior Lead Data Engineer in New York, NY. This position involves collaborating within Agile teams to design and develop innovative solutions using cloud and big data technologies. As a leader, you will guide fellow engineers in tackling complex data challenges.

The ideal candidate should have a Bachelor's Degree, significant experience in application development, and a strong grasp of cloud computing. Capital One offers competitive compensation packages ranging from $250,800 to $286,200.

Qualifications

• Minimum of 6 years experience in application development.
• At least 2 years of experience in big data technologies.
• Strong experience with cloud computing and distributed computing tools.

Responsibilities

• Collaborate with Agile teams to develop technical solutions.
• Lead a team of developers in machine learning and full stack systems.
• Deliver cloud-based solutions to improve customer financial empowerment.

Skills

Experience in application development

Big data technologies

Cloud computing (AWS, Azure, Google Cloud)

Programming languages (Java, Scala, Python)

Distributed computing tools (MapReduce, Hadoop, Spark)

Education

Bachelor's Degree

Master's Degree

Tools

Redshift

Snowflake

UNIX/Linux

NoSQL databases (Mongo, Cassandra)

Kafka

Job description

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 Data Engineers 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 in 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 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

Compensation and Benefits:

• Chicago, IL: $209,000 - $238,500 for Sr. Lead Data Engineer
• McLean, VA: $229,900 - $262,400 for Sr. Lead Data Engineer
• New York, NY: $250,800 - $286,200 for Sr. Lead Data Engineer
• Plano, TX: $209,000 - $238,500 for Sr. Lead Data Engineer
• Richmond, VA: $209,000 - $238,500 for Sr. Lead Data Engineer

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

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.