Data Engineering (Python + SQL with ETL)

MACHINE LEARNING TECHNOLOGIES LLC; Alpharetta (GA); On-site; USD 40,000 - 70,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Alpharetta, GA is looking for a Data Engineer with expertise in Python and SQL. The role involves designing, building, and maintaining data pipelines, as well as writing complex SQL queries.

Ideal candidates will have hands-on experience with ETL processes, data source integration, and transforming data for analytics. Knowledge of Power BI Development is a plus. Join an inclusive workplace where diversity is celebrated.

Qualifications

• Hands-on experience in designing and maintaining data pipelines using Python and SQL.
• Expert in writing complex SQL queries.
• Experience with Power BI Development is desirable.

Responsibilities

• Design and maintain data pipelines for data extraction and transformation.
• Integrate data from various sources, including APIs and different databases.
• Document data workflows and ensure best practices in coding.

Skills

Python

SQL

ETL processes

APIs

Git

Power BI

Tools

PostgreSQL

MySQL

SQL Server

Job description

Job Overview

• Job ID: J52087
• Job Title: Data Engineering (Python + SQL with ETL)
• Location: Alpharetta, GA
• Duration: 12 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Employment Type: W-2, 1099, C2C

Responsibilities

• Good hands‑on years of experience in designing, building, and maintaining robust data pipelines using Python and SQL.
• Expert in writing complex SQLs.
• Develop reusable scripts for data extraction from various structured and semi‑structured file formats.
• Write optimized and scalable queries to retrieve, clean, and transform data for analytics and reporting.
• Integrate data from different sources, including APIs and multiple databases.
• Work closely with analysts, data scientists, and business stakeholders to deliver clean, reliable datasets for analysis.
• Document data workflows and ensure best practices in coding and version control.
• Good to have experience on Paginated Reports and Power BI issues, Power BI Development, enhancement, and Migration.
• Core Python: Expert‑level proficiency in writing efficient, modular, and production‑grade Python code for data extraction, transformation, and loading (ETL) processes.
• SQL & Databases: Highly skilled in writing complex SQL queries, stored procedures, and optimizing database interactions. Hands‑on experience connecting Python scripts with various relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Data Source Integration: Extensive experience working with diverse file‑based data sources such as CSV, JSON, and Excel, including parsing, transforming, and integrating them into ETL pipelines.
• API & DB Connectivity: Exposure to consuming REST APIs for data ingestion and integrating multiple database sources in a unified workflow.

Additional Skills

• Familiarity with version control (Git), basic shell scripting, and working knowledge of data validation and performance tuning.
• PBI Skills: Desirable to have skills on Power BI Development, enhancement and Migration.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.