Big Data/Machine Learning Engineer - Sr at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

0.0

Posted On

18 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data, Machine Learning, Python, PySpark, SQL, AWS, Data Modeling, Data Pipelines, Data Processing, Data Security, Problem Solving, Collaboration, Mentoring, Technical Documentation, Coding Standards, Best Practices

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Big Data/Machine Learning Engineer - Sr in the United States. 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. Accountabilities 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. 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. 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. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design, develop, and maintain big data pipelines and machine learning systems. Collaborate with cross-functional teams to translate business requirements into scalable solutions.