Senior 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. 

With the growth KCL is experiencing, the Data Organization is in need of a Senior Data Engineer to join our Data Engineering team. You will be the senior technical figure and provide advice to business and technology leaders, an authority figure to your colleagues, providing guidance and expertise.  You will be focused on piping impactful insights to the right people at the right time, supporting data driven decision makers, analytics, and data science initiatives.

• Design and implement Data Engineering deliverables, ensuring alignment with business objectives and timely delivery of high-impact data solutions.
• Responsible for delivery of data engineering projects, including design, architecture, scoping, and execution to meet business goals.
• Ensure timely and efficient execution of data pipeline development, maintenance, and optimization, driving continuous improvement in performance and scalability.
• Collaborate with cross-functional teams (Analytics, Engineering, Product, Sales, Marketing) to define data requirements, establish milestones, and deliver solutions on schedule.
• Report on your work progress, tracking key performance indicators (KPIs) and ensuring alignment with the overall program roadmap.
• Meet program timelines, ensuring projects are delivered on time, within scope, and within budget.
• Implement risk management and issue resolution best practices, identifying potential roadblocks early and proactively implementing corrective actions. Optimize and maintain cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) to ensure high availability, reliability, and cost efficiency for all data initiatives.
• Develop and implement data engineering best practices, including data governance, security, and quality assurance, across all project phases.
• Participate in regular status meetings and reviews with stakeholders, ensuring transparency in progress and ensuring expectations are met.
• Implementing both short-term and long-term integration strategies.
• Participate in a collaborative and high-performing team environment, providing guidance, mentorship, and delivering team objectives in alignment with broader business goals.
• Deliver timely and accurate documentation of engineering processes, project milestones, and system architecture for future reference and compliance.
• Participate in the evaluation of emerging tools and technologies, proposing new solutions or improvements to enhance the efficiency and impact of data engineering projects.

• Data Engineering Background: You’ve spent at least 7 years in Software/Data Engineering Development and/or Technological Leadership roles with an emphasis on implementing DWH and ETL/ELT industry best practices. You understand data platform architecture concepts and know how to design and develop a project from inception to delivery.
• Technology Leader: You take pride in your ability to share your expertise with others and participate in fulfilling their potential. You continuously learn and expand in your knowledge of your domain and provide innovative and cutting edge solutions.
• Self Driver: You require moderate guidance, and take the initiative whenever possible. You respond well to changing requirements and always keep your eyes on the goal, providing your business stakeholders with the best access to impactful data.
• Problem Solver: Your skills in problem solving are superior. You like to take on what others see as impossible. You are not deterred by obstacles or blockers and continuously look for the way forward while maintaining a high quality performance.

• 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.