Axcelis Technologies

Axcelis Technologies

Data Infrastructure & ML Engineer (Hybrid Role)

Beverly, MA · Senior

Sponsorship not specified$122k-$183kDetected 30 days ago
PythonNode.jsDistributed SystemsSQLAWSGCPAzureCloud PlatformsKafkaMachine LearningPandasNumPyData EngineeringCommunicationCollaborationProblem SolvingPipeline Integrity

About the role

  • Our salary ranges are determined by role and level; individual pay is determined based on multiple factors, including job-related skills, experience, relevant education or training, work location, and internal equity.

Responsibilities

  • Design and build end-to-end data pipelines (ETL/ELT) for ingesting, processing, and transforming data.
  • Implement validation, monitoring, and error handling to ensure data quality and reliability.
  • Database Design & Data Architecture
  • Design and manage scalable database schemas.
  • Support both single-node and distributed database environments.
  • Implement tablespaces, partitioning, and sharding strategies to ensure performance and scalability.
  • Optimize queries and maintain high performance for large-scale datasets.
  • Develop data processing workflows using Python.
  • Collaborate with data scientists and engineers to support model training and deployment workflows.
  • you develop within the role.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field with 5+ years of experience.
  • Hands-on experience with distributed systems, partitioning, and sharding.
  • Strong proficiency in Python for data processing.
  • Experience working with log-based and semi-structured data (e.g., JSON).

Nice to have

  • Experience with time-series or log analytics systems.
  • Exposure to real-time/streaming architectures (e.g., Kafka).
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Domain experience in semiconductor or high-throughput systems (nice to have).
  • Key Competencies
  • Strong problem-solving and analytical skills.
  • Focus on data integrity, performance, and reliability.
  • Effective collaboration across engineering and data teams.

Skills

  • Data Infrastructure & ML Engineer (Hybrid Role)
  • Role Summary
  • Role Focus (Approximate Split)

Compensation

  • $122,133.07 - $183,199.61
  • This base salary range reflects the typical compensation for this role across U.S. locations.
  • Our salary ranges are determined by role and level; individual pay is determined based on
  • Base pay is one part of our U.S. total compensation package which includes eligibility in the
  • Axcelis Team Incentive bonus plan, and comprehensive benefits package (for regular

Benefits

  • Machine Learning Data Enablement
  • Prepare and transform datasets for machine learning models.
  • multiple factors, including job-related skills, experience, relevant education or training, work
  • location, and internal equity.

Equal opportunity

  • It is the policy of Axcelis to provide equal opportunity in all areas of employment for all persons free from discrimination based on race, sex, religion, age, color, national origin, disability status, medical condition (including pregnancy), veteran status, sexual orientation, marital status, or any other characteristic protected by federal, state or local law. Axcelis will provide reasonable accommodation necessary to enable a disabled candidate or employee to perform the essential functions of the position, unless the accommodation would create an undue hardship for the Company.
  • U.S. BASE SALARY RANGE
  • $122,133.07 - $183,199.61
  • This base salary range reflects the typical compensation for this role across U.S. locations.
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This listing is sourced directly from Axcelis Technologies's careers page and normalized into a canonical job model.