Data Engineer

October 9

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Description

• 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.

Requirements

• 3+ years of experience designing data solutions, modeling data, and developing ETL/ELT pipelines at large scale. • 3+ 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 have an understanding of SaaS metrics (CAC, LTV, churn, expansion revenue, etc.). • You are empathetic: you are eager to see the world from your users’ 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. • Strong problem-solving skills and attention to detail. • Strong communication and collaboration skills. • Ability to work independently and as part of a team. • Excellent organizational and time management skills. • Adaptability to learn and work with new technologies. • Passion for maintaining high data quality standards.