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ShapeTX® is pioneering the field of programmable RNA medicines to repair the genetic causes of diseases. By merging innovations in AI and RNA technology to generate and analyze hundreds of billions of therapeutic possibilities, ShapeTX is developing breakthroughs in RNA editing, next-generation AAVs, and disruptive gene therapy manufacturing. The ShapeTX platform enables pharma innovators to design treatments across a wide range of diseases, including rare genetic disorders as well as debilitating conditions, such as Alzheimer’s, Parkinson’s, and many more. You can find us at shapetx.com and on LinkedIn and Twitter.
At ShapeTX, we are a dynamic team of professionals who are dedicated and passionate about making cures a reality. Through diversity of thought, scientific knowledge, professional rigor and focus we are merging cutting-edge science with extensive drug development expertise to unlock cures to many debilitating diseases.
Shape Therapeutics is headquartered in Seattle, Washington with a satellite site in Boston, Massachusetts.
Position Overview
We are looking for a talented and highly motivated individual with a strong passion for learning to join the growing Information Technology team as a Data Engineer. This position will have the unique opportunity to collaborate closely with experimentalists, data scientists, and engineers to design, build, and maintain automated end-to-end data pipelines and services to enable our best-in-class AI/ML and analysis capabilities.
We are dedicated to applying generative AI to revolutionize how gene editing, delivery, expression, and manufacturing are done for gene therapy. We believe in the power of diverse perspectives to drive innovation in gene therapy and are committed to creating an environment where integrity, patient impact, and personal growth are valued. We welcome individuals from all backgrounds who possess experience in information systems, information technology, and engineering.
What You’ll Do
What you Bring
Compensation & Benefits
ShapeTX offers a robust benefits package, including but not limited to: Medical, Dental and Vision coverage for employees and their eligible dependents. We provide eligible employees with 12 paid Holidays plus a one week winter break at year end. We are proud to offer a competitive paid parental leave benefit, an annual employee stipend for employees to use however they choose, a Flex Paid Time Off program (allowing flexible PTO for vacation, sick leave, and other purposes) and Company paid Long Term Disability. Employees are eligible to enroll in our Company’s voluntary 401k plan, voluntary Life/AD&D and Voluntary FSA’s.
The salary range for this role is $96,000-$144,000. The hired applicant's placement within the range is based on qualifications and professional experience. Additional compensation may include annual target bonus and/or sign-on bonus, equity grant and relocation bonus.
We aspire to Shape Life! not only through our science, but also through our commitment to foster an inclusive environment that supports diverse perspectives and experiences.
Full Time
$111k-137k (estimate)
10/04/2023
03/28/2024
shapetx.com
Seattle, WA
<25
The job skills required for Data Engineer include Python, Data Engineering, Computer Science, Analysis, Insight, Data Science, 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.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
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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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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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.