Senior Data Engineer

Remote: yes Posted: 2026-10-12

- Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Apache Airflow, AWS Glue and large-scale data processing technologies like Spark.

- Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform.

- Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements.

- Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions.

- Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls.

- Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process.

Who We’re Looking For

- 5+ years relevant experience in data engineering.

- Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets.

- Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments.

- Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql).

- Designed, built and maintained data infrastructure using IaC like Terraform.

- Prior Software Engineering experience is a plus.

- Experience working at an early stage startup.

- Experience in a HIPAA compliant environment.

- Experience working on machine learning or healthcare related projects.