Data Engineer
About us...
Our culture is collaborative and high-energy. No role here is more important than another — or more important than our customers. We win as a team and it’s wonderful. And we’re looking to add a talented Data Engineer to our group.
What you’ll be doing…
As the Data Engineer, you will work in an agile team environment to drive the collection, storage, processing and analysis of huge sets of data for our platform. You’ll leverage your skills as a creative problem solver and be productive working both independently and collaboratively. We use AWS extensively, so your experience with EMR and other web services will put you ahead of the game. Further, you will:
- Build and refine a resilient data pipeline that efficiently processes and stores data in the appropriate database and data warehouse solutions
- Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, writing SQL queries, etc.)
- Process unstructured data into a form suitable for analysis — and then review it for general structure and accuracy
- Collaborate with data scientists to develop and support modeling and machine learning processes
- Stay on top of the latest web development and data engineering innovations and trends
Who you are…
As a Data Engineer, you have a can-do attitude and a passion for technology, data and development. You take pride in and ownership of assigned projects and possess a desire to learn new approaches. You are a detail-oriented engineer with a passion for learning and leveraging the best technologies to architect and build efficient and resilient data pipelines. You want to be a critical part of a small, collaborative but growing team of talented engineers. You also have:
- 3-5 years of Python software engineering experience with a focus on data processing
- 3-5 years building and maintaining data pipelines and ETL processes
- Experience with AWS tools and services (S3, Kinesis, Lambda, Redshift)
- Experience with systems for handling large datasets such as Spark and Hadoop
- Experience with relational, non-relational and document data stores
- Excellent visual, written, and verbal communication skills
The Data Engineer will report to the Bound CTO and Co-Founder, Michael Hovey.