To join a company that does staff augmentation we are looking for a passionate and collaborative problem-solver Python developer with experience in DATA and SQL with 5 years of experience managing data pipelines or working on data intensive software applications.
Our client is working on a project that specializes in working with medical data of cancer patients. Their primary objective is to gather comprehensive information on treatments and patient outcomes. By harnessing technology to analyze this data, their aim is to empower healthcare professionals with insights that can lead to more informed decisions regarding cancer treatment. Ultimately, their mission is to enhance healthcare and improve the quality of life for individuals battling cancer.
Requirements
6 years Experience as a developer
5 years of experience working with Python
5 years of experience with SQL (any variety / Postgres preferred)
At least 2 years working as a data engineer or project focus on big data
Strong experience with at least one ETL tool
Experience introspecting data to debug ETL pipelines
You collaborate effectively with other engineers through the use of Git and merge requests (or similar version control tools)
Good communication skills (advance english level)
You enter into discussions with curiosity and an urge to Do the Right Thing
Bonus points
You are familiar with data engineering best practices
You have a proven record of identifying inefficiencies in code or processes and proposing or working with others toward solutions
Job Responsibilities
Create ETL pipelines in code and link them up to internal tooling
Monitor CI/CD processes to ensure ETL pipelines continue to run smoothly
Coordinate with clinical data analysts to queue patient-based data extraction
Collaborate with clinical data analysts to ensure the data meets quality standards Handle ad-hoc requests from CSS folks about the patient-level data
Package and deliver the outputs of ETL pipelines to AWS S3 for client access
Context switch between multiple ETL pipelines and CSS stakeholders
Make recommendations on code and process efficiency improvements
Make decisions about which drugs/diseases to target
Submit evidence as part of FDA filings for approvals
Publish research papers (on which you may appear as co-author
Benefits:
Long term contract
Salary US dollars
10 days of vacation
5 days for personal use
10 holidays per year
Training and professional development
Recruitment process:
HR Call
2X Technical Interviews with internal Team
2X Technical Interviews with the Client team
Coding Challenge in Python and SQL
