25 Jan
Massachusetts,
Boston
, 02108
Boston
USA
Vacancy expired!
Lead Data Engineer About the job This company is the leading software platform for making the web's video content accessible - providing industry best captioning, transcription and audio description services. Their platform serves multiple user groups, including paying customers, contractors engaged in their gig-economy marketplace, and their operations team who keeps things running smoothly 24x7. Every day, their system processes hundreds of hours of video content and stores away the video, audio and transcription data in a variety of formats. With this rapid data expansion (both relational and a large mongo instance) and the addition of several third party integrations, the Engineering team is looking to hire the first data engineer to tie it all together and make the data readily available to the entire company. This is a unique opportunity to get in early in a company's data story where they already have a ton of product traction and an impressive customer list. If you're interested in coming into a mostly greenfield data situation to help us lay our data foundation, we'd love to chat. This position reports directly to the VP of Engineering. You will: - Design an end-to-end data platform, connecting all of their data
- Identify data needs across the company (App teams, Data Science and the business) and connect the pipes to make the data readily available
- Establish best practices for how consumers (Looker, Data Science team) access the warehouse data as to minimize coupling (views, marts)
- Work closely with the VP of Engineering on defining processes for how the company requests and thinks about data.
They're looking for someone who has: - 5+ years of experience in a Data Engineering (or Analytics Engineering) role, ideally designing and managing a data warehouse
- A strong engineering background with strong SQL skills and knowledge of Python, Java or Ruby
- Seen what "great" looks like for a data warehouse/pipelines and is excited to build that from the ground up
- A strong bias for simplicity and establishing good patterns
- The ability to work independently across many groups and be a driver of change
- Experience working with many flavors of data: SQL, no-SQL and 3rd party integrations
- Extensive experience using cloud BI tools (preferably Looker)
- [Bonus] Hands on experience with data modeling for warehouse applications (Kimball, fact/dimension or similar modeling)
- [Bonus] Knowledge of transformation tools such as dbt, Dataform, Python Data Manipulation, Kinesis
Some things you might work on: - Set up our first data warehouse - using Snowflake or another "Looker-friendly" technology
- Pull data from our app mysql and mongo databases into the warehouse using an ingestion tool like Fivetran or Stitch
- Pipe data from third party tools like Hubspot and Zendesk into the warehouse and join it with app data
- Set up machine learning data pipelines to feed our Data Science team's research
About the Company This company is a rapidly growing, profitable technology company with a startup culture making a huge impact on the way people consume online media. They provide premium captioning, transcription, audio description, and translation solutions to over 5,000 higher ed, enterprise, media, and government customers. Their goal is to simplify the workflow through flexible APIs, a secure online account system, and integrations with a multitude of players, platforms, and lecture capture systems. They got their start in 2008 out of MIT Sloan and we are based in Boston, MA. Location They are located in Boston, MA - North Washington St on the Green & Orange line and near North Station. They are located near some of the best restaurants and surrounded by Boston's buzzing tech scene. They ask that employees come in 1-2 days a week. Perks - Professional growth and development opportunities
- Competitive compensation(up to 170k base + options + bonus)
- Medical, Dental, and Vision benefits
- 401K matching program
- Paid vacation, birthday, volunteer days, and sick leave
- Disability and life insurance
- Charitable contribution matching program
- Transportation subsidy
- Company sponsored social events
- Snacks and beverages provided
Vacancy expired!
Related jobs
2022-01-24
2022-01-24
2022-01-24
2022-01-24
2022-01-24
2022-01-24
Report job
