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Intern - Engineering

🚀 Off-cycle Internship

Bedford +4

💻 Remote

AI generated summary

  • You: Enrolled in Computer Science or Engineering program with 2 years completed. Skills in SQL, data warehousing, problem-solving, teamwork, communication. Apache Spark & AWS knowledge a plus.
  • You will assist with data pipeline development, ETL optimization, data analysis, and database maintenance. Collaborate with teams to meet data requirements and implement best practices for data engineering and infrastructure.

Off-cycle Internship

Software EngineeringBedford, Somerville, Boston, Quincy, Waltham


  • At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life – To enable our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. As part of our clinical research portfolio, our CorEvitas evidence-based solutions specialize in generating data intelligence and clinical insights needed to bring safe and effective treatments to market. Your objectivity and dedication to patient safety will improve health outcomes that people and communities depend on – now and in the future. 


  • Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Engineering, or a related technical field, having completed at least two years of study.
  • Knowledge, Skills, Abilities:
  • Familiarity with SQL query language
  • Basic understanding of data warehousing concepts & ETL processes.
  • Excellent problem-solving and analytical skills.
  • Strong attention to detail and ability to work independently as well as part of a team.
  • Good communication and interpersonal skills.
  • Preferred knowledge of:
  • Apache Spark
  • Cloud Platforms (AWS)

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Assist in the design, development, and implementation of data pipelines to ingest, process, and transform data from various sources.
  • Collaborate with the data engineering team to optimize and improve existing ETL processes for efficiency and scalability.
  • Conduct data analysis and quality assurance to ensure the accuracy, completeness, and reliability of data.
  • Assist in the maintenance and management of databases, data warehouses, and data lakes.
  • Support the integration of third-party data sources and APIs into our data ecosystem.
  • Work closely with cross-functional teams to understand data requirements and develop solutions to meet business needs.
  • Assist in the development of data models, schemas, and data governance policies.
  • Stay updated on emerging technologies and best practices in data engineering and apply them to improve our data infrastructure.
  • Participate in team meetings, brainstorming sessions, and code reviews to contribute ideas and insights.
  • Complete assigned projects and tasks within established timelines and guidelines.
  • Promote and adhere to best practices for data engineering and Glue, Lamba, PySpark , RDS development.
  • Promote data best-practices across the organization and help build a “culture of data”


Work type

Full time

Work mode



Bedford, Somerville, Boston, Quincy, Waltham