Vendelux is a Series A SaaS company and we provide the system of record for event marketing. Our software platform provides proprietary insights that helps high-growth companies find the highest ROI events, conferences and trade shows to attend and sponsor. We have built an AI-powered platform that customers describe as an event marketer’s dream.
Vendelux was founded in 2021, and our recent $14 million Series A was led by FirstMark, whose portfolio includes companies like Shopify, Pinterest, Discord, Airbnb, Draft Kings, Carta and Justworks (amongst others). Our leadership team includes alumni from Shutterstock, Bain, Google, IBM and Compass.
As a Senior Software Engineer - Data at Vendelux, you will work on improving the quality, quantity, resilience and processing speed of our most precious asset - our data. You will build new and improve existing data pipelines, incorporate new machine learning models, and help integrate new data sources.
Scope of Responsibilities
Develop, release, and maintain high quality data pipelines, ETL and ELT processes.
Own and guide the development of our data infrastructure.
Develop custom integrations and APIs
Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge-sharing methods.
Ensure our data is always available by participating in our on-call rotation.
Work with stakeholders including data, product and executives and assist them with data-related technical issues.
Experience on data pipelines and workflow management tools like Dagster or Airflow and Cloud-based infrastructure like AWS, Google Cloud, Azure.
Determine where in our infrastructure we should host data based on the use case and data model.
Collaborate with Data Scientists in order to design scalable implementations of their models.
Identify bottlenecks and implement improvements to our data and engineering processes, and tools. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work. Our current stack is Python, Dagster, MySQL and Snowflake, but we’re early stage and open to change if it makes sense.
Qualifications
Minimum of 6 years of relevant engineering experience. Bonus points if you’ve worked with data, data pipelines and/or machine learning.
Track record of shaping and shipping valuable features.
Track record of driving high-leverage improvements to infrastructure and process.
Judgment to take on technical debt and risk where appropriate.
Strong communication skills, especially written. Our engineering team is remote-first, so a lot of important work happens in chats and documents.
Previous startup experience.
Nice-to-have: DevOps or platform/infrastructure experience (or deep interest).
Nice-to-have: experience with ML Ops processes and deploying/productizing ML models.
Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds.
Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
