Data Engineer (7673)
Job Title: Data Engineer
Job Descriptions: Collect, process, and manage data, facilitating further interpretation of the model created by data scientists. Create, construct, and maintain the essential infrastructure for storing and processing vast amounts of data. Collaborate closely with data scientists to ensure that the data is correctly organized and available for analysis. Develop data pipelines for data scientists to extract insights from structured and unstructured data using AI-enabled analytics procedures. Work with Big Data technologies, NoSQL databases, machine learning and deep learning algorithms to capture profitable growth opportunities and future challenges. Analyze intricate product and platform usage patterns, translating data-driven insights into actionable product strategy and engineering decisions. Deploy automated solutions, ranging from data automation to real-time Python classification and ML modeling and user interfaces, to address key issues. Conduct data analysis, statistical modeling, machine learning modeling, and data visualization. Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or models.
Requirements: Master’s degree or foreign equivalent in Computer Science, Information Systems, Applied Data Science, Development Engineering or related field, and 6 months of experience in a related position
Work experience or academic coursework must have included: Knowledge of Python (with Jupyter, PyCharm, or similar environment), GitHub, and Markdown; Knowledge on how to extract content (e.g., with regular expressions, entity extraction) from unstructured data and format the extractions into data structures such as lists, trees, graphs, grids, and/or sequences; Knowledge of conventional machine learning and deep learning algorithms and packages, including scikit-learn, Keras, and/or Pytorch; Knowledge of relational data management, including extracting, transforming, loading, querying from MySQL databases; Experience connecting to REST API endpoints, particularly in parsing data in JSON and XML formats; Experience developing and deploying machine learning and deep learning pipelines and development and deployment of front-end/UI systems including Streamlit, Dash, and ReactJS; Experience in finance, accounting, and market analysis; Experience with NLP data extraction and modeling using techniques, including named entity recognition, sentiment analysis, topic modeling using SpaCy, NLTK, and Hugging Face Transformers; and Experience developing and deploying machine learning models for image based model and robotic applications, including image preprocessing with OpenCV and optimizing convolutional neural
Work site: TSMC Technology, 2851 Junction Ave., San Jose, CA 95134
Salary Range: $150,051 to $160,000 /year.
Company Description
As a trusted technology and capacity provider, TSMC is driven by the desire to be:
- The world’s leading dedicated semiconductor foundry
- The technology leader with a strong reputation for manufacturing excellence
- Advancing semiconductor manufacturing innovations to enable the future of technology
TSMC pioneered the pure-play foundry business model when it was founded in 1987 and has been the world’s leading dedicated semiconductor foundry ever since. The Company supports a thriving ecosystem of global customers and partners with the industry’s leading process technologies and a portfolio of design enablement solutions to unleash innovation for the global semiconductor industry. With global operations spanning Asia, Europe, and North America, TSMC serves as a committed corporate citizen around the world.
In North America, TSMC has a strong sales and service organization that works with customers by helping them achieve silicon success with cutting-edge technologies and manufacturing excellence. The Company has continued to accelerate its R&D investment and staffing in recent years and is expanding its manufacturing footprint to support customer innovation with 3D IC technologies and optimal manufacturing capacity.
For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations, TSMC Technology, Inc. may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon TSMC North America obtaining any export license or other approval that may be required by the U.S. Government.
Diversity statement
TSMC North America is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, or any other characteristic protected by applicable law.
TSMC is an equal opportunity employer prizing diversity and inclusion. We are committed to treating all employees and applicants for employment with respect and dignity. If you require reasonable accommodation due to a disability during the application or the recruiting process, please feel free to notify us at G_Accomodations@tsmc.com. TSMC confirms to all applicants its commitment to meet TSMC’s obligations under applicable employment law. Reasonable accommodations will be determined on a case-by-case basis.
Pay Transparency / Benefits statement
At TSMC, your base pay is only part of your overall total compensation package. At the time of this posting, this role typically pays a base salary between $150,051 to $160,000 per year. The range displayed reflects the minimum and maximum target for new hires. Actual pay may be more or less than the posted range. Factors that influence pay include the individual's skills, qualifications, education, experience and the position level and location. TSMC’s total compensation package consists of market competitive pay, allowances, bonuses, and comprehensive benefits. We also offer extensive development opportunities and programs.
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Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto