As a Data Engineer at KCL, you will build and maintain data pipelines, optimize data infrastructure, ensure data quality, collaborate with teams, and document processes.
The Krazy Coupon Lady (KCL) is a female-founder-owned publisher on a mission to be a shopping non-negotiable, unapologetically helping our readers maximize their money, and seize the deal. Our team of shopping experts curates and hand-tests nearly a thousand deals per week, so there is always something new to discover each time you visit our website, app, and your inbox.
You may have noticed that our headquarters are in Boise, ID, but our workforce is fully remote in the following states: Arkansas, Colorado, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Minnesota, New Jersey, New York, North Carolina, Ohio, Pennsylvania, South Carolina, South Dakota, Texas, Utah, Virginia, or Wisconsin. All team-wide meetings are scheduled to be inclusive of U.S. time zones.
At KCL, we turn data into action. 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.
About KCL
With our roots in Boise, ID, we’ve grown into a remote company with employees located across the United States. We’re a team focused on hard work, humility, and transparency. We believe in the power of community and the magic of friendship that created KCL so, for us, everything we do is people-first.
KCL values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. KCL is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will 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. By completing that application process, someone from our organization will reach out to you to learn more.
KCL participates in E-Verify:Notice of Participation in E-Verify (Notice in Spanish);Notice of Right To Work: E-Verify (Notice in Spanish)
Top Skills
Airflow
AWS
Looker
Python
SQL
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