Data Engineer – Databricks & ADF (ETL)

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

Job summary

Quantum Technologies. LLC in Dallas, TX seeks a Data Engineer to design, build and optimize data pipelines using Databricks and Azure Data Factory (ADF). You will develop ETL/ELT processes, transform data, and ensure data quality across sources and targets.

Proficiency with SQL and Python/PySpark for large-scale processing is required, along with familiarity with Azure cloud services and data lake concepts. This role is an on-site data engineering position in Dallas.

Qualifications

• Experience with Databricks and Azure Data Factory (ADF).
• Strong ETL/ELT concepts.
• SQL and data transformations.
• Python or PySpark for large-scale data processing.
• 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 Python or PySpark 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

ETL/ELT concepts

SQL

Python/PySpark

Tools

Databricks

Azure Data Factory (ADF)

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.