Dagster Labs, the organization behind
Dagster, the open-source project, and Dagster+, simplifies data engineering. In recent years, there's been an explosion of data tools, making data stacks too complex. Dagster brings order to the chaos with a unified, data asset-oriented orchestration control plane. By centralizing data pipeline management, Dagster helps organizations efficiently navigate modern data infrastructure.As an early-stage, well-funded startup team, we boast a proven track record of shipping open-source software with global adoption.
Our culture prioritizes respectful, clear, and comprehensive communication while fostering creativity, curiosity, effectiveness, and empathy among team members.
About the role
We're looking for a passionate and skilled Developer Advocate, Content to join our Community Engineering team. As our Developer Advocate, Content, you'll be the driving force behind our educational and thought leadership content in the data engineering space. This role offers a unique opportunity to blend your technical expertise with your writing finesse, creating compelling content that educates, engages, and empowers our community of data engineers.The Community Engineering team helps empower data engineers to discover, adopt, and master Dagster as a data platform.
We help developers discover Dagster’s capabilities, provide clear and comprehensive resources to help them evaluate Dagster for their use cases, develop and maintain a rich ecosystem of education content, and help facilitate seamless integration of Dagster into their existing stacks with easy-to-understand reference documentation and guides.You'll be responsible for developing and implementing a comprehensive Data Engineering certification program, crafting insightful ebooks, producing engaging blog posts and contributing to various high-impact projects. Your work will directly to influence our marketing pipeline and play a crucial role in elevating Dagster's position as a leader in the data orchestration field.If you're excited about translating complex technical concepts into clear, accessible content, have a passion for data engineering, and thrive in a collaborative, cross-functional environment, this role offers a wonderful opportunity to make a significant impact in the rapidly evolving world of data engineering. Join us in empowering data professionals and shaping the future of data orchestration through your words and expertise.This is a full-time, competitively paid position with benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We have team members all over the U.S. and we are hiring fully remote candidates in the U.S.
Every employee is provided a remote work stipend to cover the cost of home office equipment and anything else that makes your remote work location comfortable, productive, or successful. And if you’d rather not work from home, we’ll cover the cost of a coworking or office space if you’re fully remote.
Responsibilities
- Design, develop, and implement a comprehensive Data Engineering certification program.
- Create engaging and informative data engineering ebooks that help lift the data engineering community.
- Write technical blog posts on data engineering topics, trends, and best practices.
- Edit and refine SEO content produced by our external agency to ensure technical accuracy and alignment with Dagster's voice.
- Own and contribute to data engineering published book projects, ensuring high-quality, valuable content for the data engineering community.
- Collaborate closely with the marketing team to align content strategy with overall business goals and pipeline generation.
- Work cross-functionally with engineering teams to ensure technical accuracy and relevance of all content.
- Stay current with data engineering trends, technologies, and best practices, incorporating them into your content strategy.
Qualifications
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
- 5+ years of experience in technical educational content such as online courses, tutorials, and certification programs, within data engineering, big data, or related fields.
- Strong understanding of data engineering concepts, tools, and methodologies, including Python.
- Excellent writing and editing skills, with the ability to explain complex technical concepts in clear, engaging prose.
- Proven track record of creating high-quality, long-form technical content (e.g., certifications, ebooks, whitepapers, technical guides).
- Strong project management skills with the ability to manage multiple projects simultaneously.
- Experience with or knowledge of data orchestration tools and concepts.
- Excellent interpersonal and communication skills, with the ability to collaborate effectively across teams.
- Demonstrated ability to work in a fast-paced, dynamic environment and adapt quickly to changing priorities.
If you don't meet all the criteria above but are still interested in the job, please apply. We value potential and enthusiasm over checking every box.
You belong here
We are committed to building an inclusive team and an open-source community where no one feels out of place. We know that teams with diverse backgrounds state their assumptions more explicitly, think more rigorously, and build better software. Plus, it's more fun and exciting to work with various perspectives.You should apply to work at Dagster Labs if you want to contribute to building and strengthening a high-performing software development environment where people of all backgrounds are welcome.We are a distributed team with offices in San Francisco, New York, and Minneapolis.
We have team members all over the U.S. and are hiring fully remote candidates. Every employee is provided a remote work stipend to cover the cost of home office equipment and anything else that makes your remote work location comfortable, productive, or successful. And if you'd rather not work from home, we'll cover the cost of a coworking or office space if you're fully remote. This is a full-time, competitively-paid position with benefits.The estimated annual cash salary for this role is $125,000 - $170,000.
Other Resources:
- The launch of Dagster blog post
- Launching Dagster Cloud to GA blog post
- The Data Engineering Impedance Mismatch blogpost/presentation
- What Dagster Believes About Data Platforms
- Software-Defined Assets blog post, Data Council talk, and animated explainer
- The April 2024 Dagster+ launch event
