Data Engineer: ETL Pipelines, Python & SQL

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 90,000 - 140,000; Full time

Job summary

Machine Learning Technologies LLC in Dallas, TX is seeking a Data Engineer to develop and maintain scalable data pipelines, perform ETL/ELT, and collaborate with data teams. The role emphasizes Python and SQL proficiency, relational database design, and cloud data platform support.

This contract position offers engagement through 12 months with potential extensions and multi-setup compensation. The candidate should have 1–3 years of data engineering experience, strong SQL/Python skills, and

Qualifications

• 1-3 years of professional Data Engineering or related experience.
• Strong proficiency in Python and SQL.
• Experience with ETL/ELT processes and data pipelines.
• Experience working with relational databases.
• Familiarity with Git and software development practices.

Responsibilities

• Develop and maintain scalable data pipelines and ETL workflows.
• Extract, transform, and load data from multiple sources.
• Write optimized SQL queries for data extraction and transformation.
• Develop data processing solutions using Python.
• Monitor data pipelines and troubleshoot data quality or processing issues.
• Work with data analysts, data scientists, software engineers, and business teams.
• Design and maintain data models and database structures.
• Implement data validation and quality checks.
• Optimize data pipelines for performance and reliability.
• Document data pipelines, processes, and technical solutions.
• Support cloud-based data platforms and data integration projects.
• Participate in Agile development and code reviews.

Skills

Python

SQL

ETL/ELT

Relational databases

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Job description

Machine Learning Technologies LLC in Dallas, TX is seeking a Data Engineer to develop and maintain scalable data pipelines, perform ETL/ELT, and collaborate with data teams. The role emphasizes Python and SQL proficiency, relational database design, and cloud data platform support.

This contract position offers engagement through 12 months with potential extensions and multi-setup compensation. The candidate should have 1–3 years of data engineering experience, strong SQL/Python skills, and