Data Infrastructure & ML Engineer (Hybrid Role)

Location: Hybrid role in Beverly, Massachusetts, United States

Salary: $122,133.07–$183,199.61 annual base salary, plus eligibility for a team incentive bonus and benefits for regular employees working 20+ hours per week.

Company

hirify.global develops semiconductor manufacturing equipment and technologies.

What you will do

• Design and build end-to-end ETL/ELT pipelines for tool-generated logs, JSON, and other semi-structured data.
• Implement data validation, monitoring, error handling, traceability, and governance to ensure reliable data quality.
• Design scalable database schemas and manage single-node and distributed database environments.
• Implement tablespaces, partitioning, sharding, and query optimization for large-scale datasets.
• Develop Python workflows using dataframes and libraries such as Pandas, NumPy, and Plotly.
• Prepare datasets and scalable data foundations for machine learning model training and deployment in collaboration with data scientists and engineers.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, plus 5+ years of experience.
• Strong experience with database design, SQL-based systems, distributed systems, partitioning, and sharding.
• Proven experience building ETL/ELT data pipelines.
• Strong Python proficiency for data processing, including experience with dataframes.
• Experience handling log-based and semi-structured data such as JSON.
• Understanding of data traceability, validation, governance, performance, and reliability.

Nice to have

• Experience with time-series or log analytics systems.
• Exposure to real-time or streaming architectures such as Kafka.
• Experience with Azure, AWS, or GCP.
• Familiarity with machine learning workflows and lifecycle.
• Semiconductor or high-throughput systems experience.

Culture & Benefits

• Collaboration across engineering and data teams.
• Focus on problem-solving, analytical thinking, data integrity, performance, and reliability.
• Team incentive bonus eligibility.
• Comprehensive benefits package for regular employees working 20+ hours per week.
• Equal opportunity employment and reasonable accommodation for qualified candidates and employees with disabilities.