Senior Data Engineer, Rebrandly

• 5+ years of experience designing data solutions, modeling data, and developing ETL/ELT pipelines at large scale
• 5+ years of experience in a programming language (e.g., Python, Java, Scala, Golang)
• Experience developing large-scale data solutions using cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Apache Spark)
• Experience in data cataloging, classification, data quality, metadata management, and data lifecycle
• Experience with SQL and data visualization/analytics tools (e.g., Tableau, Looker Studio)
• Experience with CI/CD pipelines and source control
• Experience with Infrastructure as Code tools like Terraform
• Proficiency in API design and development of RESTful web services or GraphQL
• Working knowledge of containerization technologies like Kubernetes and Docker
• Understand the importance of engineering with security’s best practices in mind
• Experience working with product analytics tools and tracking user behavior
• Experience with growth experimentation and A/B testing frameworks
• You understand SaaS metrics (CAC, LTV, churn, expansion revenue, etc.)
• You are empathetic and eager to see the world from the user's perspective
• You’re energized by business impact & a self-starter: you love to drive the direction of ambiguous projects
• Drive to take ownership of and debug complex data transformation pipelines and data models

Desirable

• As a Data Engineer, you will play a key role in shaping how we collect, process, and utilize data to make informed decisions that improve the user experience and enhance product performance
• Your responsibilities will include designing, constructing, and maintaining the infrastructure that delivers data to our internal stakeholders
• As the sole data engineer in our growing company, you'll have the unique opportunity to architect our data infrastructure from the ground up and shape our data strategy
• The data infrastructure you design will feed into our global data warehouse and support company-wide tools with customer, financial, and operational data
• Your work will directly influence company strategy and operations, with high visibility across all departments
• You will be integral to data-driven decision-making across the product, marketing, and growth teams
• Design, build, and maintain the infrastructure to collect, store, and transform data from different sources
• Collaborate with business stakeholders, product teams, and other engineers to understand requirements and provide efficient solutions
• Develop and optimize data pipelines to support business analytics, machine learning models, and product features
• Ensure data quality, governance, and integrity in all aspects of the company's data infrastructure
• Identify opportunities to improve existing data workflows and propose creative solutions
• Establish pipelines for efficient data movement and transformation
• Design flexible internal and external APIs to make data accessible
• Assist our internal teams in maintaining and creating user-tracking events
• Guide other engineers on best practices and implementation methods
• Lead the design and roadmap for the company's data platform
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Own the ingest and egress frameworks for data pipelines that stitch together various data sources to produce valuable data products that drive the business