Growth Data Engineer

Reposted 19 Days Ago
San Francisco, CA
Hybrid
140K-180K
Mid level
Cloud • Enterprise Web • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the cloud of choice for developers, startups, and SMBs around the world.
The Role
As a Growth Data Engineer, you'll build and maintain ETL pipelines, ensure data reliability and governance, and collaborate with marketing and engineering teams to optimize data usage for customer growth.
Summary Generated by Built In

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. 

We are looking for a Marketing Data Engineer who is passionate about helping developers and small businesses succeed with cloud technology.

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.

What You’ll be doing: 
  • 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!
What We’ll Expect from you:
  • 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.
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 $140,000 - $180,000 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.
  • We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. 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.

*This is a remote role

#LI-Remote

Top Skills

Airflow
Ci/Cd
Dbt
Docker
Go
JavaScript
Jitsu
Kafka
Kubernetes
Node.js
Python
React
Segment
Snowflake
SQL
Typescript
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York , NY
900 Employees
Year Founded: 2012

What We Do

DigitalOcean (NYSE: DOCN) simplifies cloud computing so builders can spend more time creating software that changes the world. With our mission-critical infrastructure and fully managed offerings, DigitalOcean enables startups and small and medium-sized businesses (SMBs) to rapidly deploy and scale modern applications. As a remote-first organization, our employees, like our customers, are based around the world.

Why Work With Us

Here you'll get to work with some of the smartest, most interesting people around; solving unique and complex technical challenges on a scale matched by few companies. If you get excited about stretching yourself in new ways, developing yourself to your fullest potential, with amazingly supportive friends and colleagues; we want to talk to you!

Gallery

Gallery

Similar Jobs

Firecrawl Logo Firecrawl

Data Engineer

Artificial Intelligence
In-Office
San Francisco, CA, USA
160K-240K Annually

Hebbia AI Logo Hebbia AI

Front-end Engineer

Artificial Intelligence • Legal Tech • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
Easy Apply
In-Office
2 Locations
160K-300K

Hebbia AI Logo Hebbia AI

Back-end Engineer

Artificial Intelligence • Legal Tech • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
Easy Apply
In-Office
2 Locations
160K-300K

Faire Logo Faire

Data Scientist

eCommerce • Fintech • Machine Learning • Retail
In-Office
San Francisco, CA, USA
224K-308K

Similar Companies Hiring

Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Rain Thumbnail
Web3 • Payments • Infrastructure as a Service (IaaS) • Fintech • Financial Services • Cryptocurrency • Blockchain
New York, NY
40 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account