Scientific Data Platform Engineer

Evotec

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Job Title: Scientific Data Platform Engineer

Location: Seattle WA

Reports to: Principal Scientist

About Us:

At Just-Evotec we believe that curiosity is the spark that drives innovation and success. As a forward-thinking team we thrive on challenging the status quo learning from each other and pushing the boundaries of whats possible. Were on a mission to create a place where curiosity isnt just encouraged its celebrated.

Are you someone who asks questions seeks answers and isnt afraid to go deeper#BeCureious with us and see where your curiosity can take you!

The Role:

Were looking for a passionate and curious Scientific Data Platform Engineer to join our team. If youre excited by new challenges solving complex problems and learning every step of the way you might just be the perfect this role youll have the opportunity to drive impactful projects collaborate with bright minds and explore uncharted territories.

As a Scientific Data Platform Engineer at Just-Evotec youll have the freedom to ask the hard questions think outside the box and find creative solutions that push us forward. Its a role where your curiosity will fuel both your personal growth and the success of the team.

What Youll Do:

  • Architect build and maintain scalable data platforms and pipelines to support operational and analytical data needs across scientific and business domains.
  • Design and implement data orchestration workflows using modern tools and frameworks.
  • Integrate data from diverse scientific and laboratory sources into centralized data systems and platforms.
  • Collaborate with software engineers and scientists to ensure data systems meet performance reliability and usability standards.
  • Lead efforts in data modeling metadata management and data governance.
  • Stay current with emerging technologies and best practices in cloud computing data engineering and biotherapeutic data systems.
  • Communicate technical concepts clearly and effectively to both technical and non-technical stakeholders.
  • Draft technical documentation architecture diagrams and operational procedures.
  • Spend at least 2 days a week at our Seattle site.

Who You Are:

  • Ph.D. in computer science data engineering physical sciences or a related field with a strong data engineering focus and 4 years of experience.
  • Proven experience building and maintaining data pipelines and orchestration systems.
  • Proficiency in Python and experience with version control systems and DevOps.
  • Hands-on experience with AWS cloud services including S3 Lambda Fargate and ECS.
  • Familiarity with modern data architectures for operational and analytical systems (e.g. data lakes lakehouses event-driven architectures).
  • Strong understanding of relational databases SQL and data exchange formats.

Additional Qualifications:

  • Experience working with Laboratory Information Management Systems (LIMS) in a commercial setting.
  • Experience in physical science domains (e.g. chemistry biology).
  • Familiarity with data science toolsets (e.g. scikit-learn TensorFlow PyTorch).
  • Experience with scientific data visualization and dashboarding tools.
  • Proficiency with additional programming languages such as Java or R.
  • Excellent communication skills and attention to detail with strong organizational and time management abilities.

Why Join Us:

  • Growth Opportunities: Were a company that believes in continuous learning and development. Whether its professional courses mentorship or new projects well help you grow.
  • Flexible Work Environment: We offer flexible work options to help you balance your professional and personal life with hybrid work schedules in many of our various locations.
  • Inclusive Culture: Were committed to building a diverse and inclusive environment where everyones voice is valued and curiosity is encouraged.
  • Innovative Projects: Youll have the chance to work on groundbreaking initiatives and cutting-edge technology in an atmosphere where your curiosity is the key to success.
  • A Place for Big Ideas: We dont just talk about thinking outside the boxwe throw the box away. If youve got ideas we want to hear them.

Are You Still Curious

If youve read this far then chances are youve got a curious mind just like us. So what are you waiting for Take the leap and apply today. We cant wait to see where your curiosity leads you and how it will shape the future of Just-Evotec.

Let your curiosity guide your career. #BeCurious and explore the endless possibilities at Just-Evotec!

The base pay range for this position at commencement of employment is expected to be $110000 to $123000; Base salary offered may vary depending on individuals skills experience and competitive market value.

Additional total rewards include discretionary annual bonus comprehensive benefits to include Medical Dental and Vision short-term and long-term disability company paid basic life insurance 401k company match flexible work generous paid time off and paid holiday wellness and transportation benefits.

Evotec (US) Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race gender age disability genetic information gender expression gender identity national origin religion sexual orientation or veteran status.

Job Title: Scientific Data Platform EngineerLocation: Seattle WAReports to: Principal ScientistAbout Us:At Just-Evotec we believe that curiosity is the spark that drives innovation and success. As a forward-thinking team we thrive on challenging the status quo learning from each other and pushing th...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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Evotec is a global biotechnology company committed to advancing drug discovery & development together with our partners for medicines that matter.

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