Data Engineer: Azure Databricks & ADF Pipelines

Ethereum Technologies; Plano (TX); On-site; USD 101,000 - 136,000; Full time

Job summary

Ethereum Technologies in Plano, TX is seeking a Data Engineer to design, build, and optimize scalable data pipelines using Databricks and Azure Data Factory. You will develop robust ETL/ELT processes, write efficient SQL, and ensure data quality across sources and destinations in a cloud-first environment.

The role requires strong Python or PySpark skills, familiarity with data lakes and Azure services, and collaboration with analytics teams to deliver reliable, actionable data for business

Qualifications

• Experience with Databricks and Azure Data Factory (ADF).
• Strong understanding of ETL/ELT concepts.
• Good knowledge of SQL and data transformations.
• Basic experience with Python or PySpark.
• Understanding of Azure cloud services and data lake concepts.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
• Work with Databricks for data processing and transformation.
• Write and optimize SQL queries for data extraction and transformation.
• Work with PySpark or Python for large-scale data processing.
• Integrate data from multiple sources into data warehouses or data lakes.
• Monitor, troubleshoot, and optimize data pipelines.
• Collaborate with teams to ensure data quality and reliability.

Skills

Databricks

Azure Data Factory

ETL/ELT concepts

SQL

Python / PySpark

Azure Cloud

Tools

Databricks

Azure Data Factory

Job description

Ethereum Technologies in Plano, TX is seeking a Data Engineer to design, build, and optimize scalable data pipelines using Databricks and Azure Data Factory. You will develop robust ETL/ELT processes, write efficient SQL, and ensure data quality across sources and destinations in a cloud-first environment.

The role requires strong Python or PySpark skills, familiarity with data lakes and Azure services, and collaboration with analytics teams to deliver reliable, actionable data for business