Senior Data Engineer

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October 10

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Rebrandly

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B2B • SaaS • API

Rebrandly is a leading link management platform that empowers users to transform every link into a powerful, branded connection. As the #1 platform for branded short links, Rebrandly offers essential tools to scale brands, businesses, data, and systems through reliable link management solutions. The company provides in-depth click data analysis to enhance link performance and elevate user experience. Committed to security and compliance, Rebrandly is SOC 2 Type II certified, and GDPR, HIPAA, and CCPA compliant. Millions of users trust Rebrandly's infrastructure for enhancing their digital presence and conversions.

51 - 200 employees

Founded 2015

🤝 B2B

☁️ SaaS

🔌 API

📋 Description

• Own the Entire Data Domain: Serve as the sole data engineer responsible for architecting, building, and maintaining our complete data infrastructure • Make critical architectural decisions that will shape our data strategy for years to come • Build a robust data platform that scales with our rapid growth from tens of thousands to millions of users • Build on AWS Foundation: Design and optimize our AWS Redshift data warehouse as the central hub for analytics • Implement efficient data ingestion from AWS RDS, AWS DynamoDB and other NoSQL sources • Leverage AWS services (Lambda, Glue, Kinesis, S3) to create a modern data stack • Optimize query performance and manage Redshift cluster scaling strategies • Implement Reverse ETL: Build sophisticated reverse ETL pipelines to operationalize insights • Push enriched data back to production systems, CRM, marketing automation, and customer success tools • Create real-time data activation frameworks that enhance user experiences • Design feedback loops that enable data-driven product features • Drive Scale-up Success: Rapidly prototype and deploy data solutions to support aggressive growth targets • Balance speed with reliability in a fast-moving environment • Build self-service analytics capabilities to empower teams across the organization • Establish data governance practices that scale with minimal overhead • Technical Leadership: Define data engineering best practices and standards for the organization • Mentor other engineers on data concepts and AWS technologies • Partner with stakeholders to translate business needs into technical solutions • Champion data quality and reliability across all systems

🎯 Requirements

• 5+ years of hands-on experience with AWS Redshift, including performance optimization, cluster management, and advanced SQL • 3+ years working with AWS RDS, DynamoDB and NoSQL data modeling patterns • Proven experience building reverse ETL pipelines and data activation frameworks • Strong Python or similar programming skills for data pipeline development • Experience as a solo data engineer or leading data initiatives independently • Track record of building data infrastructure in scale-up environments (Series A-C) • Expertise in modern data stack tools (dbt, Airflow, Census, Fivetran, or similar) • Experience with streaming data architectures and real-time analytics • Deep understanding of data warehouse design patterns and dimensional modeling • Proficiency in Infrastructure as Code (Terraform preferred) for AWS resources • Strong written and verbal communication skills with proven ability to work effectively in remote distributed teams • Demonstrated experience in independent project management with a track record of owning and delivering complex data projects on schedule • Previous experience working in SaaS companies with an understanding of SaaS-specific data challenges and metrics

🏖️ Benefits

• Competitive compensation • Complete ownership of the data engineering domain • Direct impact on company strategy and growth • Opportunity to build a data platform from scratch • Remote-first culture with flexible working arrangements