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The Krazy Coupon Lady Logo

Data Engineer

The Krazy Coupon Lady

Salary not specified
Oct 1, 2025
Boise, ID, US • CO, US • CT, US • GA, US • ID, US • FL, US • IN, US • IL, US • WI, US • VA, US • TX, US • PA, US • New York, NY, US • NJ, US • MN, US
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The Krazy Coupon Lady (KCL) needs to build and maintain data pipelines and optimize data infrastructure to power business-critical analytics and applications, ensuring data quality and contributing to the growth of data engineering practices.

Requirements

  • Proficiency in SQL, Python, and data pipeline tools like Airflow.
  • Hands-on experience with cloud platforms (preferably AWS), and familiarity with cloud-native data services.
  • Comfort with BI tools (we use Looker, but experience with others is fine too).
  • A working knowledge of database optimization, data modeling, and system monitoring.
  • Experience with infrastructure-as-code, CI/CD for data pipelines, or orchestration at scale.
  • Knowledge of Bash, Spark, or other big data tools.

Responsibilities

  • Build and maintain data pipelines: Develop scalable ETL/ELT processes that power business-critical analytics and applications.
  • Optimize our data infrastructure: Improve the performance and reliability of our data warehouse and processing workflows.
  • Collaborate across teams: Partner with data scientists, analysts, and engineers to understand requirements and deliver usable datasets.
  • Ensure data quality: Monitor data health, implement testing and validation processes, and support our governance standards.
  • Contribute to team growth: Document your work, share learnings, and help us raise the bar on data engineering practices.

Other

  • 3–6 years of experience in a data engineering or similar role.
  • A collaborative mindset and a drive to solve problems proactively.
  • Interest in mentoring or supporting more junior engineers (even informally).
  • Use of Fingers: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand or arm as in handling.
  • Talking: Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly.
  • Hearing: Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound.
  • The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.