Data Engineer

Columbus, OH (Remote)

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Science 37

The Decentralized Clinical Trials Operating System from Science 37 enables universal participation in clinical trials for patients and providers, anywhere.
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This is a fully Remote and Work From Home (WFH) opportunity within the US

Science 37 is accelerating the research and development of breakthrough biomedical treatments by bringing clinical trials to patients' homes. The Science 37 Operating System (OS) enables universal access to patients and providers, leading to faster enrollment, greater retention and a more representative patient population. To help us achieve our goal, we are seeking a Job Title eager to make an impact within a mission-driven organization.

The Data Engineer, Analytics is responsible for the acquisition, modeling, transformation, and delivery of the organization’s data in support of reporting and analytics.  This role is tasked with managing and organizing data, while also keeping an eye out for trends or inconsistencies that will impact business goals.  It’s a highly technical position, but also requires soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects.   This role will work closely with Data Analysts and Business Intelligence Developers, ensuring that the data pipeline from source to presentation layer is available and robust.


Duties include but are not limited to:

  1. Ingests data from a variety of internal and third-party sources
  2. Connects to data sources including open API, databases and files
  3. Defines and implements a robust automated data pipeline using modern techniques
  4. Ensures the data pipeline supports actionable insights into key business performance metrics
  5. Aligns architecture with business requirements incorporating design for security and performance optimization
  6. Models data supporting a variety of uses such as reporting, analysis, and internal and external data delivery
  7. Ensures and improves data reliability, linage, efficiency, and quality
  8. Develops data set processes and best practices
  9. Identifies, designs, and implements internal process improvements
  10. Provides accurate project effort estimates



  1. Minimum of 5 years of experience related to data acquisition, ingestion, warehousing, and modelling
  2. Experience with open APIs, Python, Redshift and Snowflake
  3. Strong understanding of ETL/ELT tools and processes
  4. Proficient in data warehouse solutions, modeling techniques, and performance optimization
  5. Advanced working SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  6. Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
  7. Successful history of extracting value from large, disconnected datasets
  8. Strong project management and organizational skills
  9. Experience in performing root cause analysis to answer business questions and identify opportunities for improvement
  10. Demonstrated analytical, technical, and problem-solving skills 
  11. Detail-oriented, and organized with strong verbal and written communication skills
  12. Bachelor of Science Degree or equivalent experience in the Life Sciences field


  1. Strong interpersonal skills, and the ability to communicate and manage well at all levels of the organization
  2. Action oriented and innovative; able to translate goals into achievable steps
  3. Strong collaborative team player
  4. Ability to effectively handle multiple tasks and ability to adapt to changes in workload and priorities
  5. Excellent planning, prioritization, and organizational skills
  6. High level of integrity and dependability with a strong sense of urgency and results-orientation
  7. Strong ability to perform data analysis and present their findings to stakeholders


  1. Ability to communicate in English (both verbal and written)


The incumbent reports to the Director, Business Intelligence, who will also assign projects, provide general direction and guidance. 

Science 37 is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Science 37 values the well-being of its employees and aims to provide team members with everything they need to succeed.

Submit your resume to apply!

Job region(s): Remote/Anywhere North America
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