Job Description
Qualifications
Minimum of 6 years of relevant engineering experience and exposure to working with data, data pipelines and/or machine learning
Expert level knowledge of python
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 designing/building/deploying/productizing ML models
Not all candidates will check all of the requirements listed above and that’s ok!
Responsibilities
You will build new and improve existing data pipelines, incorporate new machine learning models, and help integrate new data sources
This role is a hybrid role, and will require 4 days in office to our NYC HQ
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 to automate our data collection, cleaning and enrichment pipelines
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-ops, product and executives and assist them with data-related technical issues
Experience with data pipelines and workflow management tools like Dagster or Airflow, data warehouses like Snowflake or Databricks, 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
Job description
Vendelux helps companies discover the best events. Event marketers are the unsung heroes of successful companies. From generating leads to building world-class brands, event marketers make magic happen throughout the year. Vendelux is here to help maximize the impact of all the events that a company sponsors and attends.
We are a Series A SaaS company and 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, CB Insights, Button, ZoomInfo 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.
This role is a hybrid role, and will require 4 days in office to our NYC HQ.
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 to automate our data collection, cleaning and enrichment pipelines.
• 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-ops, product and executives and assist them with data-related technical issues.
• Experience with data pipelines and workflow management tools like Dagster or Airflow, data warehouses like Snowflake or Databricks, 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 where it makes sense.
Qualifications
• Minimum of 6 years of relevant engineering experience and exposure to working with data, data pipelines and/or machine learning.
• Expert level knowledge of python.
• 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 designing/building/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, ****** orientation, age, citizenship, marital status, disability, or veteran status.
Minimum of 6 years of relevant engineering experience and exposure to working with data, data pipelines and/or machine learning
Expert level knowledge of python
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 designing/building/deploying/productizing ML models
Not all candidates will check all of the requirements listed above and that’s ok!
Responsibilities
You will build new and improve existing data pipelines, incorporate new machine learning models, and help integrate new data sources
This role is a hybrid role, and will require 4 days in office to our NYC HQ
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 to automate our data collection, cleaning and enrichment pipelines
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-ops, product and executives and assist them with data-related technical issues
Experience with data pipelines and workflow management tools like Dagster or Airflow, data warehouses like Snowflake or Databricks, 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
Job description
Vendelux helps companies discover the best events. Event marketers are the unsung heroes of successful companies. From generating leads to building world-class brands, event marketers make magic happen throughout the year. Vendelux is here to help maximize the impact of all the events that a company sponsors and attends.
We are a Series A SaaS company and 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, CB Insights, Button, ZoomInfo 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.
This role is a hybrid role, and will require 4 days in office to our NYC HQ.
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 to automate our data collection, cleaning and enrichment pipelines.
• 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-ops, product and executives and assist them with data-related technical issues.
• Experience with data pipelines and workflow management tools like Dagster or Airflow, data warehouses like Snowflake or Databricks, 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 where it makes sense.
Qualifications
• Minimum of 6 years of relevant engineering experience and exposure to working with data, data pipelines and/or machine learning.
• Expert level knowledge of python.
• 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 designing/building/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, ****** orientation, age, citizenship, marital status, disability, or veteran status.
💡 Quick Summary
Seeking a career-building opportunity? The Staff Software Engineer - Data position is now open for candidates interested in the Software Developer Jobs sector. This role in New York City offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
