Data Engineer

4 weeks ago


Watertown, Massachusetts, United States Addgene Full time

About the Role:

The Data Engineer will be responsible for developing and maintaining the infrastructure and tools required for Addgene's data and bioinformatics environment. This includes creating and maintaining data pipelines, working with relational databases, and collaborating with team members to investigate, plan, and deliver data solutions.

Key Responsibilities:

  • Curate, wrangle, and prepare data reports, summaries, and/or visualizations for other Addgene teams
  • Collaborate with team members to maintain and improve existing bioinformatics workflows written in Nextflow and develop new automation capabilities for Addgene's bioinformatics needs
  • Design, create, monitor, and improve data pipelines to enable an accurate, comprehensive, and reliable data analytics environment
  • Generate large and/or complex datasets, reports, visualizations, and dashboards using Google Cloud products and Jupyter notebooks
  • Build and strengthen our infrastructure to easily and efficiently complete tasks and projects
  • Produce well-engineered software using best practices, including automated tests, documentation, and continuous integration and continuous deployment
  • Collaborate with stakeholders on other teams to clarify requirements, provide estimates, verify data output, acceptance test, and communicate limitations and/or caveats
  • Work independently on assigned tasks, and effectively manage multiple responsibilities

Requirements:

  • Master's degree in Computer Science, Data Engineering, or related technical field with 1-2 years professional, full-time experience (or Bachelor's degree with additional 3-4 years of experience)
  • Minimum 1-2 years professional software or data engineering experience using Python
  • At least 1 year experience with Python data science libraries, such as pandas and NumPy
  • In-depth experience with relational databases and constructing complex queries to retrieve data
  • Familiarity with data pipelines and ETL architectures
  • Proficiency with common software engineering practices, including source control, testing, code reviews, and deployment
  • Working knowledge of Linux/Unix operating systems and command-line tools

Preferred:

  • Experience working with Django and writing queries to retrieve data
  • Hands-on experience building and optimizing data pipelines and ETL architectures using cloud platform technologies
  • Familiarity with and developing ML or statistical models using Python libraries

About Addgene:

Addgene is a self-sustaining, thriving nonprofit life sciences organization that was created to help scientists share DNA-based research materials called plasmids. Our mission is to accelerate research and discovery by improving access to useful research materials and information.

We are an inclusive and welcoming group of people from many backgrounds and perspectives. We believe in flexibility, actively supporting professional development, and a strong work/life balance. We value sharing ideas and feedback with each other and the company.

We are committed to creating and fostering a diverse, supportive, and inclusive working environment. We work with a diverse and open global scientific community, and we know that the best innovations and discoveries come from diverse teams.



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