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Data Engineer III (Large Language Models)
About Catalytic Data Science (CDS):
Catalytic Data Science is a groundbreaking cloud R&D platform designed to integrate volumes of scientific resources, data, and analytic tools while providing the ability to network with colleagues in one secure and scalable environment. By enabling R&D teams to work more collaboratively and improving productivity company-wide, the Catalytic platform helps teams achieve key R&D milestones faster and with greater accuracy. Our customers are passionate about making the world a better place, and we are inspired by the opportunity to help them.
The Role
You are a Data Engineer with experience in processing terabytes of data and working with large language models (LLMs). You have experience in creating and automating scalable, fault-tolerant, and reproducible data pipelines for natural language processing (NLP) using Amazon AWS technologies. You will design and implement data ingestion, processing, and storage solutions that can handle massive amounts of text data from various sources. You are interested in helping to create a platform completely built on top of AWS. You are eager to join a team of Life Scientists and Software Engineers that believe the brightest minds in research should have the best tools to drive innovation.
What You’ll Do
Qualifications
Core Skills:
Nice-to-Haves
What Do We Love in Team Members?
Your specialization is less important than your ability to learn fast and adapt to shifting technologies. We’re especially fond of people who:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
Full Time
IT Outsourcing & Consulting
$129k-159k (estimate)
04/24/2024
06/23/2024
catalyticds.com
WILTON, CT
<25
2010
SCOTT SACANE
<$5M
IT Outsourcing & Consulting
We are a team of life scientists and software engineers who believe the brightest minds in science should have access to the best tools that are key to driving innovation. The Catalytic Platform is a new kind of R&D cloud built specifically for how life scientists work. By providing researchers with the best digital tools and networking them with colleagues, we're empowering R&D teams to generate novel insights, compress the time and money required to achieve key R&D milestones and produce knowledge that can be monetized to drive business forward.
The job skills required for Data Engineer include Python, Data Engineering, AWS, Data Warehouse, Computer Science, Java, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
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The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.