Key skills
PythonScalaSQLETLAnalyticsLookerTableauSnowflakeRedshiftSparkAirflowdbtAWSPostgresCollaboration
About this role
Unite Us is a company focused on improving community health and social services through better data collaboration. The Data Engineer will design and maintain scalable data infrastructure to support enterprise products and analytics, ensuring reliability and quality of data across various systems.
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