Data Engineer – Databricks & ADF

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 110,000 - 150,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Atlanta, GA is seeking a Data Engineer with Databricks and Azure Data Factory to design, build, and optimize data pipelines in support of government-related data workloads.

You will collaborate with data teams to ensure data quality, implement ETL/ELT processes, and apply PySpark or Python for large-scale processing on Azure data lakes and warehouses.

Qualifications

• 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.

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 (ADF)

ETL/ELT concepts

SQL

Python / PySpark

Azure cloud services

Tools

Databricks

Azure Data Factory (ADF)

Job description

Job Details

• Job ID: J53630
• Job Title: Data Engineer – Databricks & ADF
• Location: Atlanta, GA
• Duration: 14 Months + Extension
• Domain Exposure: Government
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

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.

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.