Senior Data Engineer (Remote)

Boise, ID / Connecticut / Florida / Georgia / Illinois / Indiana / Iowa / Wisconsin / Texas / New York / North Carolina / New Jersey / Pennsylvania / Ohio / Utah
Engineering – Data & Analytics /
Full-Time /
Remote

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1. Application Questions

  • Are you open to relocation? If so, to which state(s)? If not, write "N/A" below.
  • Will you now or in the future require Krazy Coupon Lady to commence (“sponsor”) an immigration case in order to employ you (for example, H-1B or other employment-based immigration case)? This is sometimes called “sponsorship” for an employment-based visa status.
  • We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please let us know if you need a reasonable accommodation for the hiring process? If you answer “yes”, we will reach out to you in the contact information provided if we determine to proceed with the interview process.
  • If "Yes", what is the best way to reach you?
  • Please share your desired salary range.
  • I understand that while this is a remote role, there may be a requirement for in-person onboarding and quarterly in-person meetings

Senior Data Engineer

  • Which of the following cloud data platforms have you worked with in production?
  • How many years of hands-on experience do you have writing production-level code for data pipelines (e.g., Python, SQL, Airflow)?
  • Have you led a data engineering project from design to implementation, including scoping, execution, and delivery? Please describe
  • Have you worked closely with cross-functional teams (e.g., product, analytics, sales, marketing) to deliver data solutions?
  • Have you previously delivered a data engineering solution that directly impacted a business KPI or revenue target?
  • Have you worked in an Agile or Scrum environment?
  • Do you have hands-on experience with SQL optimization in large-scale databases (e.g., Snowflake, BigQuery, Redshift)?
  • Have you built or optimized data pipelines in a cloud environment (e.g., AWS, GCP, or Azure)?

U.S. Equal Employment Opportunity information   (Completion is voluntary and will not subject you to adverse treatment)

Our company values diversity. To ensure that we comply with reporting requirements and to learn more about how we can increase diversity in our candidate pool, we invite you to voluntarily provide demographic information in a confidential survey at the end of this application. Providing this information is optional. It will not be accessible or used in the hiring process, and has no effect on your opportunity for employment.