Senior Data Engineer

🕒 May 13

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Precision Medicine Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

💰 $35.2M Venture Round on 2021-03

Biotechnology • Healthcare Insurance • Pharmaceuticals

Precision Medicine Group is a global team of experts that specializes in precision medicine, which combines advanced lab sciences, translational informatics, regulatory affairs, payer insights, and marketing communications. The company focuses on overcoming product development and commercialization challenges for pharmaceutical and life sciences clients. Their services include biomarker-driven research and development, as well as commercialization support for life science organizations from launch to product maturity. Precision Medicine Group operates through two main arms: Precision for Medicine and Precision AQ, specializing in clinical and commercial solutions respectively.

📋 Description

•Develop and maintain Bronze/Silver layer pipelines •Lead data ingestion, transformation, and enrichment •Develop automated ingestion pipelines using Snowpipe, Matillion, or similar tools •Implement dbt models and ensure data quality •Collaborate with stakeholders to ensure pipelines meet requirements •Respond to data quality incidents

🎯 Requirements

•5+ years of professional data engineering experience, with at least 3 years working in modern cloud data environments •2+ years hands-on experience with Snowflake, including performance tuning, Snowpipe, and Snowflake-specific optimization patterns •2+ years working with dbt (Core or Cloud) in production environments, including incremental models, testing, documentation, and package management •Demonstrated experience with healthcare data, understanding ICD-10, NPI, NDC codes, and claims data quality •Production experience with orchestration tools like Airflow or Dagster •Strong SQL skills •Python proficiency for data processing and automation

🏖️ Benefits

•Flexible working arrangements •Professional development