Data Engineer

Robotic Technologies Automation; Irving (TX); On-site; USD 98,000 - 139,000; Full time

Job summary

Robotic Technologies Automation in Irving, TX, seeks a Data Engineer to build and optimize data pipelines using Databricks and Azure Data Factory. You will develop ETL/ELT processes, write SQL, and use PySpark to transform data for data warehouses and data lakes.

The role requires strong SQL, Python/PySpark skills, and experience with Azure cloud services. It’s a 12-month engagement with potential extension and collaboration across teams to ensure data quality.

Qualifications

• Must understand ETL/ELT concepts and data pipelines.
• Experience building data pipelines and transformations.

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

ETL/ELT concepts

Data modeling

Data quality

Big data processing

Tools

Databricks

Azure Data Factory (ADF)

SQL

Python / PySpark

Azure cloud services

Job description

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

Job Title: Data Engineer
Location: Iryving, TX
Duration: 12 Months + Extension
Bill Rate: $86/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.