Data Engineer Consultant

Gorman Consulting (https://gormanconsulting.org) is a firm that provides specialized measurement and evaluation services, primarily in the health sector within low- and middle-income countries. We are seeking a consultant data engineer who will help set up and maintain a database and accompanying extract, transform, load (ETL) infrastructure for COVID-19 vaccine clinical trial results for our client. The ideal candidate is meticulously attentive to detail and proficient in Python/SQL with 5+ years of relevant experience. Candidates that also bring experience with data cleaning/analysis in Stata/R or data visualization experience with Tableau will be prioritized with the potential for a broader set of responsibilities relative to those below.

Summary:

• Start date: Flexible, early 2022 preferred.
• Hours: Full-time or part-time, depending on availability and breadth of experience.
  
• Duration: One year with high likelihood of extension.
• Location: Remote, though candidates in a US time zone are strongly preferred.
• Compensation: A competitive consulting rate that is commensurate with relevant experience.

Responsibilities:

• Support building the infrastructure required for optimal extraction, transformation, and loading (ETL)
• of clinical trial data that we receive in batches from partner laboratories.
  
• Use Airflow to automate ETL processes.
• Design the schema for our staging and production databases.
• Deploy our data pipeline on Heroku and Amazon Web Services.
• Support the team to define and employ quality checks of incoming clinical trial data; work with partner laboratories to identify and resolve data issues.
• Manage the SSH File Transfer Protocol for receiving incoming data.
• Generally, contribute to all aspects of designing, developing, testing, and maintaining our data pipeline system while creating and managing clear documentation for internal/external use.

Requirements:

• 5+ years of relevant experience as a data engineer building components of a data warehouse and data pipeline including setting up and maintaining relational databases (MySQL, MS SQL, PostgreSQL), automating ETL workflows and using ETL software such as Airflow or Luigi.
• Proficient in Python (both functional and object-oriented programming) and in SQL.
• Experience with cloud computing, preferably Heroku and AWS.
• Excellent organization/interpersonal skills as well as strong written and verbal English communication abilities. Ability to organize/discuss complex technical information in a clear and concise way.
  
• Meticulous attention to detail. For example, please use the subject line “Application for Data Engineer: Your Last Name” in your email application.
• Experience with sensitive data or protected health information under GDPR and/or HIPAA frameworks.
• Self-starter who will thrive in a fast-paced, start-up environment by taking ownership and initiative.
  
• While not required, the following are preferred: experience with data visualization software such as Tableau; data analytic experience using Stata or R; experience with clinical trial or immunological data.

To apply, send your CV to [email protected]. Only shortlisted candidates will be contacted. Candidates must have legal authorization to work within the country they are based.