Data Engineer – Databricks & ADF (ETL)

Ethereum Technologies; Dallas (TX); On-site; USD 89,000 - 126,000; Full time

Job summary

Ethereum Technologies in Dallas, TX is seeking a Data Engineer specialized in Databricks and Azure Data Factory (ADF) to build, maintain and optimize ETL pipelines for large-scale data processing.

You will develop ETL/ELT workflows with ADF and Databricks, write efficient SQL, and leverage PySpark/Python to transform data, integrating data into data lakes and warehouses while ensuring quality and reliability.

Qualifications

• Experience with Databricks and Azure Data Factory (ADF) is required.
• Strong SQL and data transformation skills are essential.
• Basic experience with Python or PySpark is preferred.

Responsibilities

• Develop and maintain ETL/ELT pipelines.
• Work with Databricks for data processing and transformation.
• Write and optimize SQL queries for data extraction and transformation.
• Collaborate with teams to ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines.
• Integrate data from multiple sources into data warehouses or data lakes.

Skills

Databricks

Azure Data Factory (ADF)

ETL/ELT concepts

SQL

Python/PySpark

Tools

Azure Cloud Services

Azure Data Lake

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title:Data Engineer – Databricks & ADF (ETL)
Location: Dallas, TX
Duration: 10 Months
Bill Rate: $78/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

• We are looking for a Data Engineer with experience in Databricks and Azure Data Factory (ADF) to develop, maintain, and optimize data pipelines and ETL processes.
• 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.
• Required Skills: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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.