Senior Data Engineer

We are seeking a highly skilled and motivated Senior Data Engineer to join our team at Shopmonkey. This role is critical to building, maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes.Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, we encourage you to apply. This role offers a unique opportunity to take an active role in shaping the future of Shopmonkey's data infrastructure, making meaningful contributions to our platform's efficiency and reliability. Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected.

What You Will Do:

• Continuous Enhancement: Build, maintain and elevate Shopmonkey's data infrastructure, ensuring peak performance and dependability.
• Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies.
• Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow.
• Troubleshooting: Manage the daily operations of the Shopmonkey platform, swiftly identifying and resolving data-related challenges.
• Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes.
• Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects.
• Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation.
• Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies.
• Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level
• Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions.

We Are Looking for People Who Have:

• 5+ years of industry experience and Bachelor's Degree in STEM preferred additional experience is also accepted in lieu of a degree
• Proven experience with Kubernetes and Cloud infrastructure (GCP preferred)
• Strong proficiency in Python and SQL for data processing and automation.
• Expertise in orchestration tools such as Airflow, Docker, etc..
• Understanding of performance optimization and cost-effectiveness in dataware houses like Snowflake, ClickHouse, etc.
• Ability to work effectively in a collaborative, cross-functional environment.
• Strong problem-solving skills with a proactive and solution-oriented mindset.
• Experience with additional orchestration tools like Dogster or Meltano.
• Knowledge of DBT, particularly in setting up new projects.
• Demonstrated ability to build and maintain complex data pipelines and data flows.

In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.