Senior Data Engineer
Bethesda, Montgomery County, Maryland, 20811, USA
Listed on 2025-12-31
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IT/Tech
Data Engineer, Data Analyst
Work on data driven strategies to apply AI and ML to novel drug discovery, at the forefront of biotech innovation.
This Jobot Job is hosted by:
Charles Simmons
Are you a fit? Easy Apply now by clicking the “Apply Now” button and sending us your resume.
Salary: $140,000 – $180,000 per year
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. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, this organization has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and 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.
You’ll play a central role in shaping the company’s data platform by contributing to ingestion frameworks, orchestration patterns (using Dagster or alternatives like Prefect or Airflow), and dbt‑based modeling strategies. This is a high‑impact role for an experienced engineer who loves building clean pipelines, understands metadata and observability, and enjoys making data discoverable and trustworthy for analytics, operations, and product use cases.
- 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
Job Details:
We are seeking a passionate and talented Senior Data Engineer to join our dynamic 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 highly scalable data management systems. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
The individual in this role must be comfortable working in a fast‑paced and dynamic environment with a high degree of autonomy.
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 ecosystem‑warehouses, 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 working in pharma, healthcare, or regulated data environments.
Bonus: experience working with unstructured data and AI Data Engineering (OCR, NER, vector databases, graph databases)
Interested in hearing more? Easy Apply now by clicking the “Apply Now” button.
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