Senior Data Platform Engineer - Cloud & Pipelines

Pioneering Intelligence; Cambridge (MA); On-site; USD 128,000 - 176,000; Full time

Benefits offered by this job

Healthcare coverage

Annual incentive program

Retirement benefits

Job summary

Flagship Pioneering is seeking a Lead Data Engineer to spearhead modernization of data infrastructure, pipelines, and platforms. You will work with I&O, Lab IT, and scientific teams to turn evolving needs into secure, scalable data solutions.

Strong AWS, Python, and SQL skills are essential, as is experience with Dagster, dbt, and Spark. You will mentor engineers, define standards, and leverage generative AI to accelerate delivery, all while ensuring reliability and performance of data

Qualifications

• 6+ years in data engineering, preferably in life sciences or healthcare.
• Proven cloud-native data architectures on AWS.
• Strong Python and SQL skills for pipelines and automation.
• Experience with modern data frameworks and tooling (Dagster, dbt, Spark).
• Experience with Git, CI/CD, containerized workloads (Docker, ECS).

Responsibilities

• Lead data infrastructure projects across interdependent systems and cloud platforms.
• Implement data platforms and pipelines; optimize storage solutions.
• Establish engineering standards for testing, release management, and monitoring.
• Mentor engineers and drive adoption of generative AI to speed pipeline work.
• Collaborate with I&O, Lab IT, PI Tech, and data science for architectural alignment.

Skills

Data engineering

Python

SQL

AWS

Generative AI

6+ years experience

Cloud data architectures

Data pipelines

Leadership

Cross-functional collaboration

Troubleshooting

Tools

Dagster

dbt

Spark

Iceberg

Lake Formation

Athena

Glue

ECS

Docker

Git

CI/CD

CDK

Spark SQL

Job description

Flagship Pioneering is seeking a Lead Data Engineer to spearhead modernization of data infrastructure, pipelines, and platforms. You will work with I&O, Lab IT, and scientific teams to turn evolving needs into secure, scalable data solutions.

Strong AWS, Python, and SQL skills are essential, as is experience with Dagster, dbt, and Spark. You will mentor engineers, define standards, and leverage generative AI to accelerate delivery, all while ensuring reliability and performance of data