> Markdown version of [/jobs/ext/497754-data-infrastructure-ml-engineer-hybrid-role](https://www.wearedevelopers.com/jobs/ext/497754-data-infrastructure-ml-engineer-hybrid-role). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Infrastructure & ML Engineer (Hybrid Role) - **Company:** Axcelis Technologies, Inc. - **Location:** Beverly, MA, United States - **Experience:** Expert - **Salary:** $122,133.0 - $183,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Architecture, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Systems, Database Design, Shard (Database Architecture), Distributed Data Store, Distributed Systems, JSON, Python (Programming Language), Log Analysis, Machine Learning, Node.Js, NumPy, SQL Databases, Data Streaming, Data Processing, Delivery Pipeline, Pandas, Build Management, Semi-structured Data, Information Technology, Plotly, Apache Kafka, Machine Learning Operations, Data Pipelines - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e353bfb56900afc7 ## About the Role Do you have experience in Schema design?, * Bachelor's or Master's degree in Computer Science, Engineering, or related field with 5+ years of experience. * Strong experience in database design and SQL-based systems. * Hands-on experience with distributed systems, partitioning, and sharding. * Proven experience building data pipelines (ETL/ELT). * Strong proficiency in Python for data processing. * Experience working with log-based and semi-structured data (e.g., JSON). * Understanding of data traceability, validation, and governance., * 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). * Familiarity with machine learning workflows and lifecycle. * Domain experience in semiconductor or high-throughput systems (nice to have). Key Competencies * Strong problem-solving and analytical skills. * Ability to design production-grade, scalable systems. * Focus on data integrity, performance, and reliability. * Effective collaboration across engineering and data teams. * Clear communication and documentation. ## Description We are seeking a Senior Data Infrastructure & Machine Learning Engineer to design and implement scalable data systems and pipelines that support advanced analytics and machine learning workflows. This is a hybrid role where the primary focus is on data pipeline engineering and Python-based data processing, supported by strong database design and management expertise. Role Focus (Approximate Split) * Data Pipeline Engineering & Data Flow (Critical): ~50% * Python & Machine Learning Data Processing: ~30% * Database Design & Management: ~20%, 1. Data Pipeline Engineering (Primary Responsibility) * Design and build end-to-end data pipelines (ETL/ELT) for ingesting, processing, and transforming data. * Handle multiple data sources including: + Tool-generated logs (e.g., AT log files) + JSON and semi-structured data * Ensure full data traceability, enabling backward tracking of all data points. * Implement validation, monitoring, and error handling to ensure data quality and reliability. 2. 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. 3. Python-Based Data Processing & Analytics * Develop data processing workflows using Python. * Work extensively with dataframes for transformation and analysis. * Utilize libraries such as: + Pandas, NumPy for data manipulation + Plotly (or similar) for visualization and exploratory analysis * Automate data workflows and integrate them into pipelines. 4. Machine Learning Data Enablement * Prepare and transform datasets for machine learning models. * Collaborate with data scientists and engineers to support model training and deployment workflows. * Enable scalable data foundations for AI/ML integration into production systems. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Solving the puzzle: Leveraging machine learning for effective root cause analysis](https://www.wearedevelopers.com/videos/1518-solving-the-puzzle-leveraging-machine-learning-for-effective-root-cause-analysis) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)