Full-Time

Sr. Platform and Datalake Engineer

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

AI & Machine Learning
Biotechnology
Healthcare

Senior, Expert

No H1B Sponsorship

Remote in USA

Remote work is available, but candidates must be based in the United States.

Category
Data Engineering
Data & Analytics
Required Skills
Python
Airflow
Java
TypeScript
AWS
Databricks
Data Analysis

You match the following TetraScience's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 8+ years of experience in the software development industry, preferably in data engineering, data warehousing or data analytics companies and teams.
  • Experienced in designing and implementing complex, scalable data pipelines/ETL services.
  • Expert level of Python, Java, and Typescript.
  • Extensive in cloud-based data storage and processing technologies, particularly AWS services such as S3, Step Functions, Lambda, and Airflow.
  • Expert level of understanding and hands-on experience with Lake House architecture.
  • Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.
Responsibilities
  • Design, develop, and optimize data lake solutions to support our scientific data pipelines and analytics capabilities.
  • Design, develop, and optimize data pipelines and workflows within the Databricks platform.
  • Design and architect services to meet customer data processing needs.
  • Implement data quality and governance frameworks to ensure data integrity and compliance.
Desired Qualifications
  • Knowledge of basic DevOps and MLOps principles
  • 3+ year of experience with the DataBricks ecosystem.
  • Expert level of experience with Spark/Glue and Delta tables/iceberg.
  • Working knowledge of Snowflake
  • Experience in working with Data Scientists and ML Developers
  • Experience in management and lead developer roles from technology services companies
  • Hands-on experience with data warehousing solutions and ETL tools.

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage their scientific data more effectively. The platform collects, centralizes, and harmonizes data from various lab instruments and software, making it easier to prepare for artificial intelligence and machine learning applications. Unlike its competitors, TetraScience's vendor-neutral and open design allows it to integrate with any lab equipment, providing flexibility in data management. The goal is to streamline data processes, saving time and improving scientific outcomes.

Company Stage

Series B

Total Funding

$113.8M

Headquarters

Boston, Massachusetts

Founded

2019

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI-ready scientific data solutions in the biopharma industry.
  • Strategic partnerships with Microsoft, Google, and Databricks enhance computational power and AI capabilities.
  • Expansion of AI-native datasets supports next-generation lab data management and scientific use cases.

What critics are saying

  • Increased competition from major tech companies investing in AI and cloud solutions.
  • Reliance on strategic partnerships poses risks if these partnerships dissolve.
  • Complexity and cost of integration with existing systems may deter potential clients.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
  • The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
  • TetraScience's Scientific Data Cloud centralizes and harmonizes data for AI/ML applications.

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Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements