Do you ever wonder what happens inside the cloud?

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.

We are looking for a person who is passionate about data. As a Sr. Analytics Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing our cloud computing infrastructure.

What You’ll Do: Data Architecture & Modeling: Design and implement data models and architectures using dbt that support efficient data storage, retrieval, availability, analysis, and BI reporting. ETL Development: Develop and maintain ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently integrated across various systems. Data Warehousing: Build and maintain data warehouses and data lakes to support advanced analytics and reporting needs. Data Analytics & BI Reporting: Develop and maintain BI infrastructure to enable stakeholder analysis and reporting. Performance Optimization: Monitor and optimize the performance of data pipelines and query execution to ensure efficient processing and analysis. Collaboration: Work closely with product managers, data scientists, marketing managers, and other engineers to understand business requirements and translate them into technical solutions. Documentation: Create and maintain detailed documentation of data architectures, processes, and best practices. Key Skills and qualifications: Strong knowledge of dbt, data modeling techniques, and best practices with experience building sophisticated data models. Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Understanding of data architecture and best practices, including automation, governance, lineage, and dependency management. Experience with data warehousing solutions (e.g., Redshift, Snowflake, BigQuery). Familiarity with BI tools, Looker preferred. Experience with ETL tools and frameworks (e.g., Apache Airflow). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data services. Why You’ll Like Working for DigitalOcean: We are proud to work here. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud computing 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 your overall well-being, from one-time work from home stipend to wellness allowance 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 between $135,000 - $145,000 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

#LI-CY1