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Lead Data Engineer (FinOps)

Lead Data Engineer (FinOps)

 

 

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 to drive cost efficiency of our AWS infrastructure. As a Capital One Lead FinOps Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

 

 

What You’ll Do:

  • Design, deploy, and support cost-efficient AWS solutions as well as systems for data collection, storage, access, and analytics at scale
  • 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
  • Research cloud cost abnormalities and provide insights into its financial impact and solutions for supporting needed changes for correction
  • Work with lines of businesses to implement savings opportunities within their cloud footprints and applications.
  • Provide technical leadership and guidance around architectural best practices that help elevate Cost Optimization as a pillar of the Well-Architected Framework
  • Influence and help achieve our enterprise cost efficiency strategy

 

 

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:

  • 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

 

 

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

 

 

 

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

 

New York City (Hybrid On-Site): $197,400 – $225,300 for Lead Data Engineer

To request a modification to this listing please email jobs@finops.org

  • Company: Capital One
  • Published: 2nd January 2024
  • Closing Date: 31st March 2024
  • Country: United States
  • Type: Full-time
  • Seniority: Mid-level Contributor
  • FinOps Certifications Required: None