Data Engineer: Python, SQL & Cloud Pipelines

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Data Engineer to design, develop, and maintain reliable data pipelines and processing solutions. The role emphasizes Python and SQL proficiency, data warehousing concepts, ETL/ELT workflows, and cloud platforms.

You will build scalable data pipelines, optimize SQL queries, and collaborate with analysts and business teams to enable data-driven decisions. Experience with PySpark and Spark is highly valued.

Qualifications

• Strong Python and SQL skills.
• Experience with ETL/ELT processes.
• Knowledge of data warehousing concepts.
• Experience with cloud platforms such as AWS or Azure.
• Familiarity with Apache Spark or PySpark.
• Strong analytical and problem-solving abilities.

Responsibilities

• Develop and maintain scalable data pipelines using Python.
• Design and implement ETL processes for data integration.
• Write and optimize complex SQL queries.
• Perform data extraction, transformation, and loading.
• Develop data validation and quality-checking processes.
• Work with structured and unstructured datasets.
• Support data warehouse development and maintenance.
• Collaborate with data analysts and business teams.
• Strong programming knowledge in Python.
• Proficiency in SQL and database management.
• Understanding of ETL and ELT processes.
• Knowledge of data warehousing concepts.
• Familiarity with Apache Spark or PySpark.
• Understanding of cloud platforms such as AWS or Azure.

Skills

Python

SQL

Data Modeling

Analytical Thinking

Problem Solving

Tools

PySpark

Apache Spark

AWS

Azure

ETL

Data Pipelines

Data Warehousing

Job description

Machine Learning Technologies, LLC is seeking a Data Engineer to design, develop, and maintain reliable data pipelines and processing solutions. The role emphasizes Python and SQL proficiency, data warehousing concepts, ETL/ELT workflows, and cloud platforms.

You will build scalable data pipelines, optimize SQL queries, and collaborate with analysts and business teams to enable data-driven decisions. Experience with PySpark and Spark is highly valued.