Paperchain is an early-stage startup building real-time revenue forecasting and financial tools for the digital media industry using unique applications of data science and blockchain technology.
We’re looking for a Data Engineer to come in and help build our data pipeline foundations at Paperchain. This is a contractor role with the plan to transition into a full-time role. The core team functions remotely with HQ being in New York and our CTO in Berlin.
Inclusion
College education is not a prerequisite. If you did go to college, we place no weighting on where you went. We encourage women, non-cisgender and people from non-white European ancestries to apply.
Role
In this role, you will be responsible for working with the CTO on data strategy and building data products at Paperchain. Your work will have a direct impact on our customer onboarding journey and will also help influence the strategic decisions at the company.
As a data engineer at Paperchain, you will:
- Help build and maintain the ETL data pipelines from external sources like Apple, Spotify, YouTube, Google into our data warehouse (BigQuery)
- Engineer our back-end to support a highly scalable distributed data platform
- Work on building fast & robust microservice architecture
- Write and optimize advanced SQL queries to analyze the media analytics and financial data
- Report directly to our CTO and work closely with other Founders
About You
- Fluent in writing high-quality code in Go
- Fluent in writing SQL queries
- Comfortable working using Docker & Kubernetes
- Well-versed in distributed databases & systems
- Self-organized and can work independently
Bonus if you are:
- Familiar with the Google Cloud Platform ecosystem
- Familiar with Airflow or Data flow
- Comfortable writing code in Python & using Jupyter notebooks
- Familiar with OLAP systems like Druid or Clickhouse
- Passionate about music and other media industries
- Have worked part of a remote team before
- Interested in blockchain tech
Apply
Please send an email to work@paperchain.io or submit via angel.co.
Our hiring process
- screening (20 mins)
- technical discussion (45-60 mins)
- interview (30 mins)
