Jobot
Overview
We are seeking a Senior Data Engineer to join our team in the scientific industry. The ideal candidate will have a strong background in data engineering and a deep understanding of modern data processing technology stacks. The successful candidate will be responsible for the design, development, testing, and deployment of scalable data management systems. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques. The individual must be comfortable in a fast-paced environment with autonomy. Responsibilities Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proofs of concept. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining, and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Employ a variety of languages and tools to integrate systems. Recommend ways to improve data reliability, efficiency, and quality. Use Dagster or equivalent for creating data pipelines and workflows.
Qualifications
5+ years of experience in data engineering or related fields. Strong hands-on experience with Python, SQL, and dbt. Proficiency with orchestration tools like Dagster, Prefect, or Airflow. Experience building data ingestion pipelines from REST APIs, flat files, and cloud storage (e.g., S3). Familiarity with Snowflake and its ecosystemwarehouses, cost optimization, RBAC, data sharing. Clear understanding of metadata, observability, and testing for data pipelines. You enjoy partnering with stakeholders and understand the importance of clean, discoverable data. Bonus experience in pharma, healthcare, or regulated data environments. Bonus experience with unstructured data and AI data engineering (OCR, NER, vector databases, graph databases).
Salary and Benefits
Base pay range: $140,000.00/yr - $180,000.00/yr Competitive salary and total compensation ranges based on experience Work on site in NYC or Boston, or up to 100% from home anywhere in the US Comprehensive health, vision, and dental coverage for individuals and families
About the Company
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. The organization partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. EEO and Hiring
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. How to Apply
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. #J-18808-Ljbffr
We are seeking a Senior Data Engineer to join our team in the scientific industry. The ideal candidate will have a strong background in data engineering and a deep understanding of modern data processing technology stacks. The successful candidate will be responsible for the design, development, testing, and deployment of scalable data management systems. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques. The individual must be comfortable in a fast-paced environment with autonomy. Responsibilities Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proofs of concept. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining, and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Employ a variety of languages and tools to integrate systems. Recommend ways to improve data reliability, efficiency, and quality. Use Dagster or equivalent for creating data pipelines and workflows.
Qualifications
5+ years of experience in data engineering or related fields. Strong hands-on experience with Python, SQL, and dbt. Proficiency with orchestration tools like Dagster, Prefect, or Airflow. Experience building data ingestion pipelines from REST APIs, flat files, and cloud storage (e.g., S3). Familiarity with Snowflake and its ecosystemwarehouses, cost optimization, RBAC, data sharing. Clear understanding of metadata, observability, and testing for data pipelines. You enjoy partnering with stakeholders and understand the importance of clean, discoverable data. Bonus experience in pharma, healthcare, or regulated data environments. Bonus experience with unstructured data and AI data engineering (OCR, NER, vector databases, graph databases).
Salary and Benefits
Base pay range: $140,000.00/yr - $180,000.00/yr Competitive salary and total compensation ranges based on experience Work on site in NYC or Boston, or up to 100% from home anywhere in the US Comprehensive health, vision, and dental coverage for individuals and families
About the Company
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. The organization partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. EEO and Hiring
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. How to Apply
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. #J-18808-Ljbffr