Data Engineer (Lakehouse / Databricks & DBT) - Hamilton, OH 45011 (Must be Locals) - Long Term Contract
Role summary
This long-term contract role for a Data Engineer in Hamilton, OH, focuses on building and maintaining reliable data pipelines and data marts within a Databricks lakehouse environment. The engineer will be responsible for ingesting data related to irrigation, lighting, climate, and production, and developing data marts for growing, operations, and finance use cases. Key responsibilities include ensuring data quality, reliability, and maintainability, and collaborating with data science and analytics teams. The role requires a minimum of 3 years of data engineering experience, with proven experience in production ETL/ELT pipelines, Databricks, DBT, and dimensional modeling.
Data Engineer (Lakehouse / Databricks & DBT)
Hamilton, OH 45011 ( 2 days a week onsite) - ONLY LOCALS
Long Term Contract
Role Summary
This role will lead the buildout and maintenance of reliable data pipelines and data marts that support growing, operations, and finance use cases. The position is expected to reduce dependency on existing team bandwidth by independently driving grow-data engineering deliverables.
Key Responsibilities
Build and maintain ingestion pipelines for grow-related data domains such as irrigation, lighting, climate, and production context into a Databricks data lake.
Develop data marts for domains such as growing, operations, and finance.
Maintain and improve marts as source data and business requirements evolve.
Ensure data quality, reliability, and maintainability of pipelines and marts.
Collaborate with data science and analytics teams on data mart design.
Required Qualifications
3 years minimum data engineering experience
Experience with Databricks and modern lakehouse patterns.
Proven experience building production ETL/ELT pipelines from external sources.
Familiarity with DBT and Dimensional modeling