Data Engineer

at  Workstream

Workstream is a mission-driven company that believes in building premium, modern software solutions for local businesses. There are 2.7 billion hourly workers, who make up 80% of the global workforce, but they’ve been heavily underserved by technology and deserve better. We help local businesses around you hire, manage, and retain qualified workers.
Our customers include leading brands from multiple sectors, including Burger King, Carl’s Jr./Hardee’s, IHOP, KFC, and Culvers. At series B, we are quickly expanding our product portfolio. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.

JOB DESCRIPTION

Workstream is a mission-driven company that believes in building premium, modern software solutions for local businesses. There are 2.7 billion hourly workers, who make up 80% of the global workforce, but they’ve been heavily underserved by technology and deserve better. We help local businesses around you hire, manage, and retain qualified workers.
Our customers include leading brands from multiple sectors, including McDonald’s, Burger King, Jamba Juice, 7-Eleven, Uber, and FedEx. At series B, we are quickly expanding our product portfolio. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.

PREFERRED QUALIFICATIONS:

• Experience with Hevo Data or other streaming vendors(Fivetran, Airbyte, DMS)
• Experience with DBT
• Experience with Snowflake or Redshift
• Experience with orchestration tools such as Airflow
• Experience with data catalog solutions such as Atlan
• Experience with Metaflow is a plus
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience with specialized ML serving tools like Bento, Seldon Core, Hugging Face Inference, Sagemaker Endpoints is a plus.

We are in search of a seasoned Data Engineer who has a strong background in Machine Learning Engineering. In this unique role, you will primarily focus on data engineering tasks while leveraging your ML expertise to collaborate with data scientists for model deployment. The ideal candidate is someone who excels in building robust data infrastructures and also has a proven track record in helping data teams deploy machine learning models in real-world environments. You’ll be working hand-in-hand with our platform team, supporting and maintaining our data infrastructure, and concurrently assisting data scientists in model deployment and monitoring.