Senior Data Engineer

Job not on LinkedIn

🕒 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

PRECISIONvalue

WebsiteLinkedInAll Job Openings

501 - 1000 employees

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🏢 Enterprise

Healthcare Insurance • Pharmaceuticals • Enterprise

PRECISIONvalue is a company that specializes in market access and commercialization strategies for life sciences and pharmaceutical industries. They leverage a team of experts, including former payer decision makers, to provide insights across various market channels. Their services include demonstrating the value of life-science innovations, strategic market access, training solutions, and developing key insights for commercialization success. PRECISIONvalue also offers on-demand webinars, white papers, and forums to share exclusive insights with their clients. They focus on ensuring that life-changing medicines are accessible to patients by combining scientific data and empathetic communication strategies to maximize commercial success.

📋 Description

• Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage. • Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution. • Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind. • Implement dbt Models: You will write clean, tested, documented SQL that follows medallion architecture patterns and supports incremental processing at scale. • Establish Scalable Engineering Patterns: You will create reusable templates, macros, and testing frameworks that accelerate onboarding of new data sources without sacrificing quality. • Ensure Data Quality and Observability: You will implement dbt tests, freshness checks, and anomaly detection. You will own the pipeline reliability and respond to data quality incidents. • Collaborate with the Architect and Stakeholders: You will translate business requirements into technical specifications, participate in design reviews, and contribute to ADRs, and you will ensure pipelines align with enterprise standards.

🎯 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. You understand ICD-10, NPI, NDC codes, and the messy realities of claims data quality • Production experience with orchestration tools, such as Airflow, Dagster, or similar. You’ve built and maintained DAGs that run reliably at scale • Strong SQL skills. You write efficient, readable, well-structured SQL and can debug complex query performance issues • Python proficiency for data processing, scripting, and pipeline automation.

🏖️ Benefits

• Location and Travel: This is a remote-friendly role with flexibility for EU-based or India-based candidates. • Occasional travel for stakeholder meetings and strategic planning sessions.