Data Engineer (5175)

Key Skills

Big Data Technology, CSS, Data Engineering, Data science techniques, Deep Learning, Finance, HTML, Keras software library, Machine learning techniques, NoSQL, PyCharm, Python Programming, PyTorch, Scikit-learn, XML-JSON

Job Description

As a Data Engineer, you will collect and manage data, facilitating further interpretation of the model created by data scientists. If you have a passion for data engineering and a desire to work on complex data problems, we encourage you to apply for this exciting opportunity.

This position will be based in our San Jose, CA office, where we are currently operating in a hybrid environment working 3 days in the office.

Responsibilities

• 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.

Minimum Qualifications

• Master’s degree or higher in computer science, information systems, information science; or related field.
• In-depth knowledge of Python (with Jupyter, PyCharm, or similar environment), GitHub, and Markdown
• Experience connecting to REST API endpoints, particularly in parsing data in JSON and XML formats
• Experience developing web crawlers to collect data from web pages using tools such as Scrapy and BeautifulSoup
• In-depth knowledge of relational data management, including extracting, transforming, loading, querying from MySQL databases
• Familiarity with server-based front-end/UI technologies including HTML/CSS/PHP
• Must be willing to relocate to Taiwan for a 3-month period for training

Preferred Qualifications

• Implementation and operationalization of Big Data technologies, including Hadoop and Spark for unstructured, non-transactional data
• Experience working with NoSQL databases, including Elasticsearch for documents and Neo4j for graph structured data
• 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
• Experience deploying machine learning and deep learning pipelines with serverless front-end/UI technologies, including Streamlit and Netlify
• In-depth knowledge of conventional machine learning and deep learning algorithms and packages, including scikit-learn, Keras, and/or Pytorch
• Deep understanding in finance, accounting, and market analysis

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.

Diversity statement

TSMC Technology, Inc. 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 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 $115,000 and $150,000 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.