Internship
Posted March 13, 2026
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Responsibilities
Commitments
Responsibilities
- Uses script like SQL to deploy pipelines on Cloud Services like Azure Data Factory.
- Use Notebooks in cloud to develop data transformation and anomaly detection algorithms on times series dataset.
- Knowledge of working with relational databases such as MS SQL
- Understands the fundamentals of data handling, cleaning and extraction of data files and processes
- Asist in deploying and maintaining data pipelines that move and synchronize data between cloud storage/services and on-premise SQL Server instances
- Develop, run and maintain automated data quality tests and monitoring (e.g., row counts, schema checks, null/uniqueness constraints, referential integrity, validations); triage and remediate pipeline failures or data issues
- Set up automatic jobs on cloud services for daily data engineering tasks and utilize DevOps to develop data pipeline self-updates and monitoring
- Knowledge of machine learning techniques and deploy algorithms to detect model drifts
Commitments
Asist in deploying and maintaining data pipelines that move and synchronize data between cloud storage/services and on-premise SQL Server instances
Able to comply with all safety policies and procedures
Demonstrated time management skills
The annual pay range shown is subject to change and may be modified periodically.
WORKING CONDITIONS: The Data Engineer Intern works primarily in an office environment from Monday to Friday.
The schedule may be altered from time-to-time to meet business or operational needs; may travel from building-to-building as needed.
Occasionally, works in a class 100 ESD sensitive wafer fab manufacturing facility; adheres to required safety and dress standards.
Stands and walks; performs various fine grasping movements, bends, and twists; operates a computer and enters information using a keyboard, operates a telephone, and other office equipment.
May occasionally push, pull, or lift up to 10 pounds. *Other duties of a similar nature or level are duties that may be required, but may not be specifically listed in the job description or posting.
TDK/Headway Technologies, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, or genetics.
Applicants requiring accommodation in order to complete the application process should contact the Headway Human Resources Department.
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What still needs stronger evidence
Requirements
- The Intern must possess a working knowledge of data engineering like data handling, cleaning and extraction, as well as statistical and machine-learning based analysis.
- Knowledge of working with relational databases such as MS SQL
- Understands the fundamentals of data handling, cleaning and extraction of data files and processes
- Develop, run and maintain automated data quality tests and monitoring (e.g., row counts, schema checks, null/uniqueness constraints, referential integrity, validations); triage and remediate pipeline failures or data issues
- Knowledge of machine learning techniques and deploy algorithms to detect model drifts
- Experience with the following programming in Python, SQL
- Experience with software development and project life cycle
- Knowledge of basic database and data handling processes Knowledge, Skills, and Abilities:
- Knowledge of software languages such as Python, SQL
- Knowledge of data engineering process and techniques.
- Knowledge of Machine Learning techniques.
- Knowledge of the basic principles of software programming and database/data handling
- Knowledge and ability to use Microsoft Office applications to create spreadsheets, Word documents, and presentations
- Able to communicate effectively, both verbally and in writing, with employees and management
- Able to comply with all safety policies and procedures
- Demonstrated prioritization and organizational skills
- Demonstrated time management skills
- Demonstrated problem-solving and trouble shooting skills
Education
- (Not required) – Actively Pursuing a Bachelor’s, Master’s or PHD degree in Data Science, Machine Learning, Computer Science, Computer Engineering and/or equivalent relevant experience
TITLE: DATA ENGINEER INTERN (Cloud, SQL) FLSA STATUS: EXEMPT REPORTS TO: MANAGER, APPLICATION DEVELOPMENT SUMMARY: Under the direction of the Manager of Application Development, the Data Engineer Intern will work on various development projects within the application development group using Cloud related techniques, Python programming language, and MS SQL databases. The Intern must possess a working knowledge of data engineering like data handling, cleaning and extraction, as well as statistical and machine-learning based analysis. This position is located in Milpitas, CA. ESSENTIAL FUNCTIONS:
Uses script like SQL to deploy pipelines on Cloud Services like Azure Data Factory.
Use Notebooks in cloud to develop data transformation and anomaly detection algorithms on times series dataset.
Knowledge of working with relational databases such as MS SQL
Understands the fundamentals of data handling, cleaning and extraction of data files and processes
Asist in deploying and maintaining data pipelines that move and synchronize data between cloud storage/services and on-premise SQL Server instances
Develop, run and maintain automated data quality tests and monitoring (e.g., row counts, schema checks, null/uniqueness constraints, referential integrity, validations); triage and remediate pipeline failures or data issues
Set up automatic jobs on cloud services for daily data engineering tasks and utilize DevOps to develop data pipeline self-updates and monitoring
Knowledge of machine learning techniques and deploy algorithms to detect model drifts
Performs other duties of a similar nature or level* Job Qualifications MINIMUM QUALIFICATIONS:
Actively Pursuing a Bachelor’s, Master’s or PHD degree in Data Science, Machine Learning, Computer Science, Computer Engineering and/or equivalent relevant experience
Experience with the following programming in Python, SQL
Experience with software development and project life cycle
Knowledge of basic database and data handling processes Knowledge, Skills, and Abilities:
Knowledge of software languages such as Python, SQL
Knowledge of data engineering process and techniques.
Knowledge of Machine Learning techniques.
Knowledge of the basic principles of software programming and database/data handling
Knowledge and ability to use Microsoft Office applications to create spreadsheets, Word documents, and presentations
Able to communicate effectively, both verbally and in writing, with employees and management
Able to comply with all safety policies and procedures
Demonstrated prioritization and organizational skills
Demonstrated time management skills
Demonstrated problem-solving and trouble shooting skills
Flexible and able to prioritize The annual rate for this full-time position is between $66,000.00-83,000.00 + benefits. Within the range the individual pay may differ depending on additional factors including job responsibilities, job related knowledge, skills, abilities, education, and experience. The annual pay range shown is subject to change and may be modified periodically. WORKING CONDITIONS: The Data Engineer Intern works primarily in an office environment from Monday to Friday. The schedule may be altered from time-to-time to meet business or operational needs; may travel from building-to-building as needed. Occasionally, works in a class 100 ESD sensitive wafer fab manufacturing facility; adheres to required safety and dress standards. Stands and walks; performs various fine grasping movements, bends, and twists; operates a computer and enters information using a keyboard, operates a telephone, and other office equipment. May occasionally push, pull, or lift up to 10 pounds. *Other duties of a similar nature or level are duties that may be required, but may not be specifically listed in the job description or posting. TDK/Headway Technologies, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, or genetics. Applicants requiring accommodation in order to complete the application process should contact the Headway Human Resources Department.
Uses script like SQL to deploy pipelines on Cloud Services like Azure Data Factory.
Use Notebooks in cloud to develop data transformation and anomaly detection algorithms on times series dataset.
Knowledge of working with relational databases such as MS SQL
Understands the fundamentals of data handling, cleaning and extraction of data files and processes
Asist in deploying and maintaining data pipelines that move and synchronize data between cloud storage/services and on-premise SQL Server instances
Develop, run and maintain automated data quality tests and monitoring (e.g., row counts, schema checks, null/uniqueness constraints, referential integrity, validations); triage and remediate pipeline failures or data issues
Set up automatic jobs on cloud services for daily data engineering tasks and utilize DevOps to develop data pipeline self-updates and monitoring
Knowledge of machine learning techniques and deploy algorithms to detect model drifts
Performs other duties of a similar nature or level* Job Qualifications MINIMUM QUALIFICATIONS:
Actively Pursuing a Bachelor’s, Master’s or PHD degree in Data Science, Machine Learning, Computer Science, Computer Engineering and/or equivalent relevant experience
Experience with the following programming in Python, SQL
Experience with software development and project life cycle
Knowledge of basic database and data handling processes Knowledge, Skills, and Abilities:
Knowledge of software languages such as Python, SQL
Knowledge of data engineering process and techniques.
Knowledge of Machine Learning techniques.
Knowledge of the basic principles of software programming and database/data handling
Knowledge and ability to use Microsoft Office applications to create spreadsheets, Word documents, and presentations
Able to communicate effectively, both verbally and in writing, with employees and management
Able to comply with all safety policies and procedures
Demonstrated prioritization and organizational skills
Demonstrated time management skills
Demonstrated problem-solving and trouble shooting skills
Flexible and able to prioritize The annual rate for this full-time position is between $66,000.00-83,000.00 + benefits. Within the range the individual pay may differ depending on additional factors including job responsibilities, job related knowledge, skills, abilities, education, and experience. The annual pay range shown is subject to change and may be modified periodically. WORKING CONDITIONS: The Data Engineer Intern works primarily in an office environment from Monday to Friday. The schedule may be altered from time-to-time to meet business or operational needs; may travel from building-to-building as needed. Occasionally, works in a class 100 ESD sensitive wafer fab manufacturing facility; adheres to required safety and dress standards. Stands and walks; performs various fine grasping movements, bends, and twists; operates a computer and enters information using a keyboard, operates a telephone, and other office equipment. May occasionally push, pull, or lift up to 10 pounds. *Other duties of a similar nature or level are duties that may be required, but may not be specifically listed in the job description or posting. TDK/Headway Technologies, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, or genetics. Applicants requiring accommodation in order to complete the application process should contact the Headway Human Resources Department.