Data Engineer

Unite Us is dedicated to unlocking the potential of every community by connecting individuals to health and social services. The Data Engineer will design and maintain high-performance data infrastructure to support enterprise products and analytics, focusing on data ingestion, transformation, and delivery while collaborating with cross-functional teams.

Responsibilities:

• Execute a data architecture and infrastructure to meet business objectives
• Work closely with Solutions Architects and Product Managers to make sure that the technical infrastructure can support client requirements
• Develop ETL and data pipeline solutions to load data warehouse
• Test internal data pipelines for reliability and performance

Requirements:

• Experience as a Data Engineer in which you set up data pipelines with DBT
• Experience using Airflow to create directed acyclic graphs (DAG) to orchestrate data-pipelines and processes using python
• Experience working with data warehouses, data lakes and ETL pipelines (Snowflake, Infomatica, Redshift, Postgres, SQL, etc)
• Experience with Spark using Scala
• Experience using and building solutions to support various reporting and data user tools (Chartio, Tableau, Looker, etc)
• Experience setting up and maintaining databases within AWS
• Building Infrastructure as Code
• Experience working on applications serving large enterprise clients
• Experience working on healthcare and/or social determinants of health data products
• A focus on building performant systems
• Ability to think forward and build a scalable solution that satisfies various needs of enterprise clients with dedicated data teams