AWS Data Storage Benchmarking Engineer (AWS Cloud DBA)

Donato Technologies Inc
Seattle-tacoma, WA
05 Feb 2025

Vacancy expired!

ROLE – AWS Data Storage Benchmarking Engineer (AWS Cloud DBA)

LOCATION - Hybrid schedule (2 to 3 times/week onsite) - Candidate can be local to either Cupertino, CA or Seattle, WA

MAIN SKILLS – AWS Cloud Database, Benchmarking experience, Data Storage experience.

MUST HAVES :
  • The candidate must have industry experience and must be able to quickly ramp up on our work.
  • Candidate must be able to solve problems with state-of-the-art techniques and apply engineering rigor to build repeatable and automatable code.
  • Candidate must have AWS experience so they can configure and manage DB settings and interfaces to data.
  • Candidate must have coding experience to automate processes and be able to extract meaningful data from database tables.
  • Candidate must be able to share code snippets for review and provide examples for others to the access data. Candidate should be able to provide code reviews of others’ queries and code that access the DB.

Job SummaryAs a contractor in support of the Competitive Benchmarking Team, you will work with researchers to support analysis from a variety of data sources with varying complexity, automate data processing and analysis that derives insights and impacts product decisions.
  • Process and validate quantitative data sets
  • Solve data storage and processing problems with data advanced engineering methods
  • Build and prototype dataset generation tools to automate new and recurring data sets
  • Work closely with researchers, data scientists and engineers to ensure timely delivery of analyses

Key Qualifications
  • 2-5 years of relevant experience with a strong desire to learn our work quickly
  • Data engineering with strong automation, testing, and attention to detail
  • Experience with modern data architectures and database administration in AWS
  • Experience with Python and SQL for data engineering
  • Experience with code repositories and comfort with code reviews
  • Comfort owning databases, optimizing queries and supporting cross-functional DB users
  • Ability to document code and communicate DB changes and to cross functional partners
  • Strong analytical and problem-solving skills and tendency to be proactive in working across research, data, and engineering teams with a high attention to detail
  • Ability to work effectively in a team environment with exceptional interpersonal skills
  • Previous experience managing multiple projects of different complexity under tight deadlines
  • Data analysis and QA experience a plus

EducationAn academic background in Computer Science, Information Systems, Mathematics, Physics, Engineering, or similar quantitative field. Prefer BS + 5 years of relevant industry experience or MS degree + 2 years of experience.