Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Houston (TX); On-site; USD 89,000 - 126,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Houston, TX is seeking a Data Engineer to design, develop, and optimize data pipelines using Databricks and Azure Data Factory. The role emphasizes ETL/ELT processes, data quality, and scalable transformation.

You will write SQL, use PySpark/Python for large data tasks, and collaborate with teams to integrate diverse data sources into data lakes or warehouses, ensuring reliability and performance.

Qualifications

• 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.

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

SQL

Python

PySpark

ETL/ELT

Tools

Databricks

Azure Data Factory

Job description

Job ID: J54183

Job Title: Data Engineer

Location: Houston, TX

Duration: 10 Months + Extension

Domain Exposure: Material

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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

Bill Rate: $78/hour (C2C)

Job Type: W-2, 1099, C2C

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.

• 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.

• 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.