Senior Data Engineer

flex Engage (formerly flex Receipts) is an innovative, retail technology startup headquartered in Downtown Orlando, Florida. The company is a graduate of YCombinator and well‑funded by VC firms, including Bullpen Capital, Point Judith Capital, and Synchrony Financial.

We are the leading provider of personalized transactional communications for retailers, enabling brands like Under Armour, DXL, Michael Kors, GNC, and 5.11 Tactical to transform standard transactional touchpoints into dynamic engagement channels that drive customer loyalty and revenue.

flex Engage is looking for a Senior Data Engineer to enable the team to build data‑driven products by providing access to our rich datasets s role will be the first full‑time data engineer on the team and will have a significant voice in defining the long‑term vision for our approach to data engineering.

• Empower the organization to build data‑driven products by building data processing pipelines that enable easier access to data.
• Write maintainable, performant, and cost‑efficient code that can be validated with automated tests.
• Maintain the data warehouse with timely and quality data.
• Create and maintain documentation for the systems and repositories you own.
• Develop features and improvements to flex Engage products.
• Participate in all aspects of the development process including story grooming, technical design, coding, code reviews, QA, and delivery.
• Collaborate with Product Management, other engineers, and other stakeholders in the development of new features.
• Establish data engineering standards for style, maintainability, and best practices. Maintain and advocate for these standards through feature development and code reviews.
• Identify areas of improvement in the codebase and improve it through your contributions. Drive change by being an advocate for these improvements.

• Bachelor's degree in Computer Science, related degree, or equivalent practical experience.
• 3+ years of hands‑on experience deploying production‑quality code.
• Professional experience using Python for data processing.
• Professional experience implementing ETL best practices at scale.
• Professional experience with data pipeline tools (e.g., Airflow).
• Demonstrably deep understanding of SQL and analytical data warehouses (Snowflake preferred).
• Experience using cloud environments (AWS preferred). Experience provisioning infrastructure through code (e.g., Terraform, Cloud Formation, Ansible).
• Experience using CI/CD tools like Bitbucket Pipelines or Jenkins.

flex Engage offers a competitive compensation plan in line with the candidate’s experience and ability to drive results at target retailers. Compensation consists of an annual base salary, stock options, 401k, health benefits, unlimited PTO, and flexible/remote schedules.

• Opportunity to create something – be part of a startup in a fun industry.
• Opportunity to make a difference – your work will truly matter.
• Great personal upside potential – in learning, earnings, and future exit potential.