Big Data/Machine Learning Engineer - Sr

Jobgether

66d

About The Position

In this senior-level role, you will design, develop, and optimize large-scale data processing and machine learning systems that drive critical business insights. You will work with cutting-edge technologies in Python, PySpark, SQL, and AWS, building robust data pipelines, performing data modeling, and implementing scalable ML solutions. This position offers the chance to collaborate with cross-functional teams in a dynamic, high-impact environment while contributing to end-to-end data workflows. The role requires a proactive problem-solver capable of handling complex data challenges, ensuring performance, reliability, and security of data-driven solutions. You will have the opportunity to influence technical strategy while mentoring junior engineers and setting best practices in cloud-based data engineering and ML operations.

Requirements

• 8+ years of experience in data engineering and machine learning engineering.
• Strong programming skills in Python and proficiency with PySpark.
• Experience with SQL and data modeling for large-scale datasets.
• Hands-on experience with AWS services for data processing, storage, and ML deployment.
• Familiarity with designing and implementing scalable, fault-tolerant data pipelines.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Strong communication skills and ability to provide technical guidance across teams.
• Visa eligibility: US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, or TN Visa.

Responsibilities

• Design, develop, and maintain big data pipelines using Python, PySpark, and SQL to support advanced analytics and machine learning workloads.
• Implement data modeling solutions that optimize storage, retrieval, and processing performance in cloud environments.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable ML and data solutions.
• Ensure reliability, efficiency, and security of data pipelines and ML infrastructure deployed on AWS.
• Monitor, troubleshoot, and optimize data workflows to meet performance SLAs.
• Mentor junior engineers and contribute to technical documentation, coding standards, and best practices.

Benefits

• Competitive contract compensation.
• Flexible remote work arrangements (location-dependent).
• Opportunity to work on high-impact data engineering and ML projects.
• Exposure to cloud-based big data and ML technologies.
• Mentorship and collaboration with experienced engineers.
• Professional development in scalable data architectures and ML operations.

What This Job Offers

• Career Level: Senior
• Number of Employees: 11-50 employees