Data Engineer (Remote)

***This is a full-time remote position with a Monday-Friday work week.

KCL will currently consider applicants who reside in the following states: Arkansas, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Iowa, Minnesota, Ohio, Pennsylvania,  South Dakota, Texas, Utah, Virginia, Washington, or Wisconsin.

The Krazy Coupon Lady (KCL) is a founder-led publisher for women who love finding great deals and want to shop smarter. Our teams of shopping experts curate and hand-test nearly a thousand deals per week, so there is always something new to discover each time you visit our website, app, and your inbox. 

At KCL, we turn data into action and are looking for a new Data Engineer to join our team. Our Data & Analytics team empowers every corner of the organization—from product innovation to strategic decision-making—with clean, fast, and reliable data infrastructure. As we scale, we’re investing in the engineers who make that possible.

Who You Are

• You’re a builder at heart who loves turning complex data challenges into elegant pipelines and systems.
• You’re fluent in SQL and Python, curious about new tools, and always looking for a better way to move and transform data.
• You work well across teams and want to be part of a culture that values clarity, collaboration, and continuous learning.

What You'll Do

• 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.

What You’ll Bring

• 3–6 years of experience in a data engineering or similar role.
• 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.
• A collaborative mindset and a drive to solve problems proactively.

Bonus Points If You Have

• Experience with infrastructure-as-code, CI/CD for data pipelines, or orchestration at scale.
• Knowledge of Bash, Spark, or other big data tools.
• Interest in mentoring or supporting more junior engineers (even informally).

Physical Requirements

• 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.