Would it inspire you to contribute to the growth of a product that ignites the creativity of millions of content creators? WeVideo is a powerful, easy to use, cloud-based video creation platform. We are a leading choice for digital video editing used in more than 6500 K-12 schools by educators, schoolchildren worldwide, and by individual creators and small businesses.

We have an immediate opening for a Senior Data Engineer. You will be working within the Analytics team at WeVideo to help build out and grow our data infrastructure. The team plays a central role in shaping the data ecosystem in our company, and enables business performance by providing users across the company with the insights, tools, infrastructure, and consulting to make data-driven decisions. Our org is hungry for data and needs you to help us get to the next level.

What You Will Do In This Role

• Be the lead engineer that builds and automates data pipelines for our Product data, as well as enable Data Integration projects.

• Develop and improve the technical architecture of current data warehouse (BigQuery)

• Design data models optimized for aggregation, visualization and advanced analytics (machine learning)

• Design, implement and maintain data pipelines from beginning to end. Our Product data pipeline is high velocity and we need to re-architect it using Apache Kafka. Our Business data pipes are standard fare, and we use ‘modern data stack’ tooling (ELT, reverse ETL, DBT, self-serve BI).

• Facilitate data integrations and write optimized data transformations in SQL/Python

• Implement automated QA and data quality checking systems for pipelines and warehouse

• Leverage automation using Apache Airflow where possible to help the team scale

Skills And Experience You Possess

• 2 years in data engineering with a Bachelor's degree in CS, Data Science, or similar technical field, or equivalent professional experience.

• Demonstrated success building and automating batch and streaming data pipelines, as well as end-to-end Monitoring and Alerting solutions.

• High fluency with advanced SQL in BigQuery (or Redshift) environment

• Proficient in creating high quality, fast services and projects in Python.

• Experience building data pipes using Apache Kafka or Pub/Sub, Apache Airflow, GCP/AWS

• Strong communication skills and interest in working with Marketing & Sales teams

Benefits & Perks

• Potential remote opportunity

• Medical, dental, vision and company 401(k) matching

• Generous PTO policy

• Free lunch and snacks

• Enough free caffeine to keep you up for 2 weeks straight

• Employee development resources

Why You Might Like Working Here

• We’re a small, close-knit team that enjoys working and learning from each other.

• Flexible, collaborative culture that values work-life balance

• People stick around. Some of your future colleagues have been for over 8 years.

• Our users love us; just take a look at the tweets shared by teachers.