Lead Data Engineer (Intelligent Foundations and Experiences)

Capital One

Cambridge (MA)

On-site

USD 197,300 - 225,100

Full time

14 days+

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Job summary

Capital One seeks a Lead Data Engineer in Cambridge, MA to drive a major transformation by building real-time data platforms and cloud-based solutions. You’ll collaborate with Agile teams, mentor engineers, and work with ML and distributed systems to deliver robust data solutions.

The role requires 4+ years of application development and big data experience, plus proficiency in Java/Scala/Python and experience with Redshift, Snowflake, Hadoop, Kafka, and Spark.

Qualifications

  • Requires a Bachelor's Degree and 4+ years in application development or data engineering.
  • Experience with big data technologies and 1+ year in cloud computing (AWS/Azure/GCP).
  • Proficiency in Java, Scala, Python and SQL in distributed data environments.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, and support data solutions.
  • Work with teams experienced in ML, distributed microservices, and full-stack systems.
  • Build cloud-based data platforms and warehousing using Redshift/Snowflake.

Skills

Big data
Cloud computing
Java/Scala/Python
Data engineering

Education

Bachelor's Degree

Tools

Redshift
Snowflake
Hadoop
Kafka
Spark

Job description

Lead Data Engineer (Intelligent Foundations and Experiences)

We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed.

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
  • Work with 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 4 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
  • 7+ 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)
  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ year 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

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

Salary
  • Cambridge, MA: $197,300 - $225,100
  • McLean, VA: $197,300 - $225,100
  • Richmond, VA: $179,400 - $204,700

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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.

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