The Growth Data Engineer will manage data infrastructure, build ETL pipelines, ensure data reliability, and collaborate across teams to enhance data-driven growth strategies.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
Reporting to the Director of Growth Analytics and Operations, you will be a key technical contributor supporting Acquisition and Growth Marketing through clean, accessible, and actionable data. You’ll build the pipelines, systems, and services that empower our teams to scale their efforts across hundreds of thousands of customers.
- You’ll manage the data infrastructure that powers our growth: You will design, build, and maintain the ETL pipelines that extract data from backend services, transform it into usable formats, and load it into Snowflake for analysis and decision-making. Your work ensures our marketing and growth teams have the right data at the right time.
- You’ll make customer data available in real-time: From building services that extract data from key systems like Marketo and Jitsu to ensuring clean ingestion into our CDP (Segment), you’ll be responsible for making customer behavior data actionable across marketing channels and dashboards.
- You’ll ensure data reliability and governance: You’ll develop and maintain frameworks for data validation, quality monitoring, and governance. You'll document systems, automate processes, and support incident response to maintain high data integrity and system uptime.
- You’ll work cross-functionally: Partnering with the Growth Engineering, Growth Marketing, Product, and Data Science teams to ensure data flows smoothly across systems and supports experimentation, measurement, and personalization at scale. You’ll be shipping code into our product and backend infrastructure to implement and operationalize your data goals!
- A deep understanding of data engineering systems: You have strong experience with Python and SQL, understand the principles of data modeling and pipeline architecture, and can build robust services to enable data sharing across tools like Snowflake, Segment, and Jitsu.
- Full stack engineering chops and technical independence: You’re comfortable interfacing with backend and frontend systems that require engineering-level access. Prior experience with Go, React, Node.js and Typescript/Javascript will be valuable in this role, and experience with Kafka and CI/CD is a bonus. You can work autonomously to extract critical metadata and customer data from services used across the company.
- Experience with cloud-native tools and infrastructure: You have hands-on experience with cloud data tools (e.g., Snowflake, Airflow, Segment) and containerization (e.g., Docker, Kubernetes). Experience with dbt is a plus.
- Operational rigor: You bring strong monitoring, documentation, and automation practices to your work. You know how to identify and troubleshoot pipeline issues and are proactive about root cause analysis and long-term stability.
- Strategic problem-solving: You can see the big picture while owning the technical details. You bring ideas to life through experimentation, and you understand how clean, reliable data unlocks better customer experiences and business growth.
- Domain experience: Familiarity with growth experimentation, product-led growth strategies, or digital marketing ecosystems is a plus.
Compensation Range:
- $140,000 - $180,000
*This is a remote role
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Top Skills
Airflow
Ci/Cd
Dbt
Docker
Go
JavaScript
Jitsu
Kafka
Kubernetes
Node.js
Python
React
Segment
Snowflake
SQL
Typescript
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