GAC Solutions
Data Engineer - Databricks
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - Databricks, offering a contract length of "unknown" with a pay rate of "unknown". Key skills include Databricks, SQL, Python, and cloud platforms like Azure. Experience in data pipelines, ETL/ELT processes, and data governance is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Data Architecture #Database Design #"ETL (Extract #Transform #Load)" #Azure #Data Quality #Spark (Apache Spark) #NoSQL #Security #Data Governance #Data Modeling #Documentation #Hadoop #Databricks #Python #SQL (Structured Query Language) #Cloud #Airflow #GCP (Google Cloud Platform) #Luigi #Data Pipeline #Data Engineering
Role description
-Hands-on experience with Databricks and core data engineering tools (SQL, Python, Spark; Hadoop familiarity acceptable)
-Experience designing and building data pipelines and ETL/ELT processes
-Experience with cloud data platforms (e.g., Azure; GCP exposure helpful)
-Working knowledge of data modeling, data architecture, and database design (relational and NoSQL)
-Knowledge of data governance, data quality, and security best practices
-Experience with workflow orchestration tools (e.g., Airflow, Luigi)
-Familiarity with organizing data using Medallion Pattern and understanding centralization vs. decentralization approaches (including Data Mesh principles)
-Strong problem-solving, communication, and documentation skills
-Hands-on experience with Databricks and core data engineering tools (SQL, Python, Spark; Hadoop familiarity acceptable)
-Experience designing and building data pipelines and ETL/ELT processes
-Experience with cloud data platforms (e.g., Azure; GCP exposure helpful)
-Working knowledge of data modeling, data architecture, and database design (relational and NoSQL)
-Knowledge of data governance, data quality, and security best practices
-Experience with workflow orchestration tools (e.g., Airflow, Luigi)
-Familiarity with organizing data using Medallion Pattern and understanding centralization vs. decentralization approaches (including Data Mesh principles)
-Strong problem-solving, communication, and documentation skills
