Senior Data Engineer

March 21

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Logo of flexEngage

flexEngage

flexEngage is a company that specializes in delivering custom-made transactional messages, including digital receipts, aimed at reducing customer churn for brand-driven retailers. By transforming traditional point-of-sale communications into engaging post-purchase marketing strategies, flexEngage enhances customer loyalty and encourages repeat business. The platform integrates seamlessly with existing POS systems, enabling retailers to market effectively and create personalized customer interactions that foster long-lasting relationships beyond the initial purchase.

Digital Receipts β€’ Loyalty Activation β€’ Printed Offers β€’ eReceipt β€’ Printed Offers

11 - 50 employees

Founded 2014

πŸ›’ Retail

πŸ›οΈ eCommerce

πŸ’° $1M Venture Round on 2020-01

πŸ“‹ Description

β€’ Enable the team to build data-driven products by providing access to rich datasets at scale. β€’ Write maintainable, performant, and cost-efficient code validated with automated tests. β€’ Maintain the data warehouse with timely and quality data. β€’ Create and maintain documentation for the systems and repositories. β€’ Develop features and improvements to flexEngage products. β€’ Participate in all aspects of the development process including story grooming, technical design, coding, code reviews, QA, and delivery. β€’ Collaborate with Product Management, other engineers, and stakeholders in the development of new features. β€’ Establish and advocate for data engineering standards during feature development and code reviews. β€’ Identify areas of improvement in the codebase and implement changes.

🎯 Requirements

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

πŸ–οΈ Benefits

β€’ Competitive compensation plan in line with experience and ability to drive results at target retailers. β€’ Annual base salary, stock options, 401k, and health benefits. β€’ Unlimited PTO, flexible/remote schedules.

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