Cambridge, MA USA
Principal Data Engineer
USD 179K–236K / yearStaffData and machine learning
GreenhouseApplicant tracking
Principal Data Engineer is an open role at Flagship Pioneering, Inc., a company in biotech, pharma and medtech. The posting gives Cambridge, United States as the location. We classify it under data and machine learning. There are 28 open positions from Flagship Pioneering, Inc. on this site, 5 of them in IT and engineering.
Posted today · Last checked 2026-10-27
About Flagship Pioneering, Inc.
Biotech, pharma and medtech Non-tech company with an IT team 28 open positions, 18% in IT and engineering. Most open roles: Science and research (8), Non-software engineering and technicians (3), Healthcare (3).
Similar jobs
Associate AI Engineer (Onsite in Los Angeles)Fuel Cycle · Los Angeles OfficeUSD 90K–110K / yearSenior AI/ML EngineerTempo · United States | CanadaRemoteSenior Data EngineerKeyrock · Brussels | Rome | Barcelona | Zug | Porto | Cape Town | Istanbul | Eindhoven | Geneva | Milan | Amsterdam | Manama | Madrid | London | Dubai | Berlin | Antwerp | Copenhagen | Vienna | Prague | Athens | Budapest | Paris | Frankfurt | Dublin | Warsaw | Sofia | Luxembourg | Remote | Zurich | Abu Dhabi | Lisbon | London | Tallinn | London OR Brussels | Seychelles | Rotterdam | Krakow | Johannesburg | ZagrebRemoteData Scientist, AcquisitionSuperhuman Platform Inc · Hub - San Francisco | Hub - New York | Hub - SeattleUSD 180K–275K / yearTech Lead Manager, Core Apps Data ScientistAnthropic · New York City, NY; San Francisco, CA | New York City, NY; Seattle, WAUSD 460K / yearData Scientist - Simulation (Secret cleared)Accenture Federal Services · Arlington, VAOn-siteSenior Data AnalystKnown · New York, NYUSD 90K–110K / yearSenior Data Analyst, Product Analytics Current · New York, NYUSD 150K–200K / year
| Workplace | Workplace not stated |
| Seniority | Staff |
| Role | Data and machine learning |
| Countries | United States |
The full description is on the original posting. Labels are set automatically and can be wrong. About the data