Machine Learning Engineer

Job Title: Machine learning engineer$33–$37/hr (~$69K–$77K annually) + Hourly Raises as You Bill Full-Time W2 from Day One | Start in Atlanta, Then Travel Across the U.S. Housing & Relocation CoveredFrom day one of training, you’re a full-time W2 employee—not a student or an intern. We’re hiring Entry-Level Machine Learning Engineer to start in Atlanta and then work on client-facing projects for Fortune 500 companies across the country. If you have a foundation in Python, SQL, and data processing and want to build your career as a Python Developer, this is an opportunity to gain hands-on experience with real-world projects and dedicated technical support. Compensation and Benefits$33–$37 per hour (approximately $69K–$77K annually), based on experience and technical skills, as a full-time W2 employeeHourly pay increases as you accumulate billable hoursHealth, dental, and vision insuranceCorporate housing and relocation covered401(k) eligibility after one yearExposure to Fortune 500 clients and projectsDedicated support team and mentorshipPerformance bonuses20+ years of placement expertise behind you Your Pay Grows With Your Billable HoursAfter 500 billable hours: +$2.00/hrAfter 1,000 billable hours: Another +$2.00/hrEvery additional 500 billable hours after that: +$1.00/hr Where This Role Takes YouThis isn’t just a job. It’s an opportunity to launch your data engineering career.Build a strong résumé: Gain hands-on experience working on data projects for Fortune 500 companies across industries.Develop your technical skills: Learn new tools, cloud platforms, and data technologies with support from experienced professionals.Increase your earning potential: Your hourly rate grows as you reach billable-hour milestones.Gain industry exposure: Work with client teams and learn how organizations manage and process data at scale. What You’ll DoBuild and maintain data pipelines to collect, process, and transform data.Work with Python, SQL, databases, and structured or unstructured datasets.Support ETL/ELT processes and data integration tasks.Help develop and maintain data warehouses and data processing workflows.Work with cloud platforms and data engineering tools on client projects.Collaborate with senior engineers and client teams to deliver reliable data solutions. What You BringA bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related field is required.Basic to intermediate knowledge of Python and SQL.Understanding of databases, data structures, and data processing concepts.Familiarity with ETL, data pipelines, or data warehousing.Strong problem-solving skills and willingness to learn.Good communication and teamwork skills. Bonus Points (Not Required)Exposure to AWS, Microsoft Azure, or Google Cloud Platform (GCP).Familiarity with Apache Spark, Hadoop, or other data processing tools.Experience with PostgreSQL, MySQL, SQL Server, or other databases.Knowledge of Git and version control.Exposure to Airflow, dbt, or similar data pipeline tools. Location and RelocationYou’ll start in Atlanta, Georgia, and then travel to client project locations across the United States. Projects typically last 3–6 months, and some may run a year or longer. Corporate housing and relocation are covered, allowing you to gain experience across industries and locations. Ready to Launch Your Data Engineering Career?If you have a foundation in Python, SQL, and data processing and are ready to learn, grow, and work on real-world projects, we encourage you to apply.