Data Engineer, Growth

About The Company Join DigitalOcean and immerse yourself in a pioneering technology company dedicated to simplifying cloud computing and artificial intelligence for developers and small businesses worldwide. Known for its focus on innovation, growth, and community-driven approach, DigitalOcean strives to empower builders and disruptors to create impactful software solutions. With a clear mission to build the simplest and most scalable cloud platform, the company fosters an environment where talent can thrive, think big, and make a meaningful difference. DigitalOcean values a culture of collaboration, continuous learning, and bold experimentation, making it an ideal place for professionals eager to push boundaries and shape the future of cloud technology.

About The Role We are seeking a highly skilled Marketing Data Engineer to join our dynamic team. Reporting directly to the Director of Growth Analytics and Operations, you will play a pivotal role in supporting our acquisition and growth marketing initiatives through the development and maintenance of robust data pipelines and systems. Your primary responsibility will be to ensure that our marketing and growth teams have access to accurate, timely, and actionable data to drive strategic decision-making. This role involves designing scalable ETL processes, integrating customer data from various sources, and ensuring data integrity across our platforms. You will collaborate cross-functionally with teams such as Growth Engineering, Data Science, Product, and Marketing to facilitate seamless data flow, support experimentation, and enable personalized customer experiences. Your work will directly impact DigitalOcean’s ability to scale its customer base and improve overall marketing effectiveness, making this an exciting opportunity for a data engineering professional passionate about cloud technology and growth analytics.

Qualifications

• Proficiency in Python and SQL for data pipeline development
• Experience with data modeling, ETL/ELT architecture, and pipeline orchestration
• Hands-on experience with cloud data tools such as Snowflake, Segment, Airflow, and Jitsu
• Familiarity with containerization technologies like Docker and Kubernetes
• Knowledge of data governance, validation, and quality monitoring frameworks
• Experience with full-stack engineering, including backend and frontend systems (Go, React, Node.js, Typescript/JavaScript)
• Understanding of CI/CD pipelines and automation best practices
• Operational experience in monitoring, troubleshooting, and incident response
• Strategic problem-solving skills with a focus on scalable solutions
• Prior experience in growth experimentation, digital marketing ecosystems, or product-led growth strategies is a plus
• Strong communication and cross-functional collaboration skills

Responsibilities

• Design, build, and maintain scalable ETL pipelines to extract data from backend services and load into Snowflake for analysis
• Develop and optimize data workflows that enable real-time customer data availability across marketing channels and dashboards
• Implement data validation, quality assurance, and governance frameworks to ensure high data integrity and compliance
• Collaborate with Growth Engineering, Data Science, Product, and Marketing teams to support experimentation, measurement, and personalization efforts
• Build services to extract data from key systems such as Marketo and Jitsu, ensuring clean ingestion into our Customer Data Platform (Segment)
• Automate processes and maintain documentation for data pipelines and infrastructure
• Monitor system performance, troubleshoot issues, and perform root cause analysis to ensure operational stability
• Contribute to the development of scalable data solutions that support business growth and customer engagement strategies
• Participate in cross-team projects, shipping code into product and backend infrastructure to meet data goals

Benefits

• Competitive salary range of $140,000 – $180,000, commensurate with experience and skills
• Performance-based bonuses and equity compensation options
• Comprehensive health and wellness benefits, including Employee Assistance Programs
• Flexible time off policies and support for remote work arrangements
• Access to professional development resources, including LinkedIn Learning and conference reimbursement
• Opportunities for career growth within a fast-paced, innovative environment
• Inclusive and diverse work culture that values winning together, learning, and having fun

Equal Opportunity

DigitalOcean is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, or military service. We encourage applicants of all backgrounds to apply and join our community of builders and innovators.