Senior Data Engineer

We’re seeking a Senior Data Engineer to help scale our data warehouse and contribute to the next phase of our data platform’s growth. This is a high-impact opportunity to build scalable infrastructure that unifies data from multiple sources into a trusted, accessible foundation for the business. In the coming months, you'll focus on migrating pipelines to a modern architecture, improving data quality and governance, and enabling teams to better leverage data across our products. We’re looking for an experienced engineer with strong hands-on expertise in tools like Snowflake, Airflow, Airbyte, and dbt, who enjoys solving complex data challenges and contributing to a collaborative, high-performing team.

Your Mission: As part of the Engine team, you’ll play a vital role in an environment where innovation meets collaboration. Here’s what you’ll take charge of:

• Partner with stakeholders across product, engineering, data science, finance, sales, and marketing to define data needs, build data acquisition strategies, and establish reporting infrastructure for better-informed decision-making.
• Design and maintain data models across the organization, ensuring appropriate data integration strategies are in place.
• Lead the development and orchestration of ETL data pipelines, ensuring their monitoring, maintenance, and scalability.
• Enhance the performance and reliability of our data lake infrastructure and data warehouse, driving efficiency and accessibility.
• Collaborate with data scientists and analysts to establish data assets and feature stores for process automation, advanced analytics, and machine learning initiatives.
• Manage and optimize business intelligence infrastructure, ensuring the organization has access to high-quality, actionable data.

What You’ll Bring to Engine: We’re looking for someone who’s ready to make an impact and grow alongside us:

• Experience: 5+ years of relevant experience managing data infrastructure and building ETL/ELT processes at scale.
• Education: Bachelor’s and/or Master’s degree in Computer Science, Engineering, or a related field.
• Technical Expertise: Experience designing and deploying high-performance data processing systems, with strong monitoring and logging practices.
• Hands-on Knowledge: Familiarity with Snowflake, dbt, Kinesis/Kafka, Terraform, and Kubernetes.
• Cross-functional Collaboration: Ability to work with teams across the organization, providing guidance on data architecture and best practices.
• Mentorship Skills: Passion for mentoring engineers and fostering a culture of learning and growth.

Applications for this role will be accepted through 10/30/2025 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline.