Unite Us is looking to hire a Data Engineer to design and maintain scalable, high-performance data infrastructure that supports their enterprise products and analytics capabilities, enabling efficient data ingestion, transformation, and delivery across their systems with a focus on reliability, data quality, and support for diverse internal and external reporting needs.
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
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
Other
- This position is remote, U.S. based
- The target pay range for this role is: $115,000-$135,000.
- All team members will be required to pass a background check which includes criminal, employment, and education verification
