Azure Databricks Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 72,000 - 102,000; Full time

Benefits offered by this job

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking an experienced Azure Databricks Engineer to design and optimize scalable data pipelines and Lakehouse architectures. You will work with PySpark, Python, Spark SQL, and Azure Data Services to deliver robust data solutions.

You will collaborate with data architects, analysts, and business stakeholders, implement CI/CD pipelines, and ensure quality, performance, and cost efficiency across large-scale data processing projects.

Qualifications

• Hands-on experience building scalable data pipelines with Azure Databricks.
• Strong Python and PySpark programming skills.
• Experience with Delta Lake and Lakehouse architecture.
• Experience with Azure Data Factory for orchestration.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Build ETL/ELT workflows using PySpark, Python, and Spark SQL.
• Develop and optimize complex SQL queries and data transformations.
• Work with Azure Data Factory (ADF) for orchestration and workflow automation.
• Implement data Lakehouse architecture using Delta Lake.
• Work with Azure Data Lake Storage Gen2 (ADLS).
• Perform data modelling, data integration, and data migration.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality checks, monitoring, and error handling.
• Collaborate with data architects, analysts, and business stakeholders.
• Implement CI/CD pipelines and deployment processes.

Skills

Azure Databricks

Python

PySpark

Spark SQL

Azure Data Factory

ADLS Gen2

Delta Lake

SQL

Azure DevOps/CI-CD

Data pipeline optimization

Tools

Unity Catalog

Databricks Workflows

Databricks Asset Bundles

Azure Synapse Analytics

Terraform

Kafka/Event Hubs

Job description

Job ID

J55025

Job Title

Azure Databricks Engineer

Location

Dallas, TX

Duration

10 Months + Extension

Bill Rate

$63/hour (C2C)

Job Type

W-2, 1099, C2C

Client

To Be Discussed Later

Work Authorization

US Citizen, Green Card, H-1B, OPT-EAD, CPT, H4-EAD, Other

Job Description

We are looking for an experienced Azure Databricks Engineer with strong expertise in building scalable data engineering solutions using Azure Databricks, Apache Spark, Python, and Azure Data Services. The ideal candidate should have hands‑on experience in designing, developing, and optimizing large‑scale data pipelines and Lakehouse architectures.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Build ETL/ELT workflows using PySpark, Python, and Spark SQL.
• Develop and optimize complex SQL queries and data transformations.
• Work with Azure Data Factory (ADF) for orchestration and workflow automation.
• Implement data Lakehouse architecture using Delta Lake.
• Work with Azure Data Lake Storage Gen2 (ADLS).
• Perform data modelling, data integration, and data migration.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality checks, monitoring, and error handling.
• Collaborate with data architects, analysts, and business stakeholders.
• Implement CI/CD pipelines and deployment processes.

Required Technical Skills

• Strong hands‑on experience with Azure Databricks.
• Excellent programming skills in Python and PySpark.
• Strong knowledge of Apache Spark and Spark SQL.
• Experience with Azure Data Factory (ADF).
• Hands‑on experience with Azure Data Lake Storage Gen2.
• Strong understanding of Delta Lake and Lakehouse architecture.
• Expertise in SQL and data warehousing concepts.
• Experience with Azure DevOps and CI/CD.
• Knowledge of data pipeline optimization and performance tuning.

Good To Have

• Experience with Unity Catalog and Databricks Workflows.
• Knowledge of Databricks Asset Bundles.
• Experience with Azure Synapse Analytics.
• Knowledge of Terraform and infrastructure automation.
• Experience with streaming technologies such as Kafka or Event Hubs.
• Understanding of data governance and security.

Equal Opportunity Employer

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.