Data Engineer at
New York City, NY, US

About is changing the future of how videos are made by helping over 1 million creative professionals seamlessly collaborate from all over the world.

We’re backed by Accel, SignalFire, FirstMark, Jared Leto, and a host of other amazing investors. Our market-leading product is used and loved by companies such as Turner, Disney, NASA, Snapchat, BBC, BuzzFeed, TED, Adobe, Udemy, and many more.

We’re in an exciting period of growth and are always seeking extremely talented and passionate individuals who share our vision for helping visual content creators produce their best work.

How do we work together?

Our mission is to power the world's video creation and we can't do it alone. We've built a team of curious, smart, passionate and positive people focused on a common goal: building an awesome product and a cozy space where people can do their best work. Some of us are musicians, others are coffee enthusiasts, filmmakers, artists, former professional athletes, entrepreneurs and everything else in between. Our diversity is key to our success.

At we look for people who can Start with Yes, Lead with Ideas Not Ego, and Get Themselves Up the Curve, but most of all we look for great people.

What does the role entail? is seeking its first data engineer to support our growing data collection and consumption needs. As a software company serving more than 120,000 monthly active users, we’re sitting on billions of rows of activity log and transactional data, and we collect more than 300 million+ new rows each month from a variety of sources.

Collecting, cleansing, organizing, storing, and leveraging data at that scale isn’t an easy task, but we’re fortunate to have invested in a toolkit and processes that help support a robust data infrastructure. Now, we’re looking for someone to manage and improve our daily workflows for the next level of growth.

Today, we collect our data from a variety of sources, including transactional data stored in Postgres that powers our software application, activity data captured and piped through Segment, customer traits and communication data from a variety of marketing and sales tools that connect seamlessly to Segment (we leverage Zapier when they don’t), financial data from Stripe and Salesforce, and a multitude of others.

Our internal teams consume the majority of our data in Looker for BI and visualization purposes, but the data also powers personalized customer communications through a variety of sales and marketing tools and tailored onsite experiences.

Our current data team of 3 will double to 6 next year. With this growth will follow a greater demand for fresh, clean, actionable data - and that’s where you come in. Your role will be to architect, construct, and build on top of/extend our current data infrastructure to support that demand. On top of regular data pipeline creation and maintenance, you’ll partner with key stakeholders from growth, marketing, sales and product to make certain data accessible in realtime to construct even more powerful customer experiences.

If that sounds like an exciting challenge, let’s chat!

How will you make an impact?

Supplement, augment, and standardize raw data by modeling and transforming it in our data warehouse.

Maintain, monitor, and test internal data pipelines for reliability and performance.

Continually evaluate and refine our technical data toolkit, sharing your findings and best practices with the team.

Connect data sources from disparate sales, marketing, and logging tools to support realtime, personalized customer experiences and communications that help grow the business.

Who are you?

You’re passionate about the value that clean, fresh, and actionable data can unlock and you understand how your work serves an end-business purpose.

You care intensely about scaling your impact through a systems-based approach and have adopted tools and techniques to do so. Additionally, you can teach others how to make their own work better and more efficient.

You’re proactive about supporting internal data consumers and business stakeholders.

You’re naturally curious about business strategy and keep yourself informed of big picture company roadmaps and milestones to better support the organization.

You’re a forward thinker. You’re able to build for scale and create solutions that satisfy many needs rather than an individual project.


3+ years experience as a data engineer, data scientist or business intelligence analyst in which you set up solid data pipelines and have extracted meaning from big data sets with little engineering support.

Expert knowledge of Python and SQL

Experience setting up and maintaining databases within AWS

Experience using any of the following tools strongly preferred but not required: Looker, Segment, Amplitude, Postgres, Redshift, Snowflake, BigQuery, dbt, or Apache Airflow


Competitive salary and equity

Medical, Dental, & Vision Insurance

OneMedical membership

Daily catered lunch & fully stocked kitchen with cold brew on tap

Unlimited PTO

Volunteering paid time off

Yearly stipend for learning and development

Work From Anywhere Week

Pre-tax commuter benefit

Discounted gym membership

Classpass discount

Free Citi-Bike membership

Paid parental leave

Flexible Spending Account

Influence in a small, fast-paced team

Our philosophy is simple. At, we believe that working with people of different backgrounds and perspectives allows us to elevate each other and helps us build a better product for our users.

We’re proud to be an equal opportunity employer, and are committed to providing all employees with a work environment that celebrates individuality and remains free from any form of discrimination and harassment. We base our employment decisions on the needs of our business, job requirements, and applicants' qualifications. In other words, we only care that you’re the best person for the job.