Precision AQ

Precision AQ is a life sciences commercialization and healthcare consulting company that helps biopharma companies bring therapies to market and improve patient access. It describes itself as a commercialization partner for biopharma innovators, market access teams, and brand strategists, with expertise spanning access strategy, HEOR, medical communications, market access, data and analytics, branding, investor relations, and omnichannel/product solutions.

Business Consulting and Services
1001-5000

Description

  • Build and maintain Bronze/Silver layer pipelines to land core data sources accurately, on time, and with full lineage.
  • Own end-to-end data ingestion, transformation, and enrichment workflows from raw file landing through cleansed, conformed staging tables.
  • Develop automated ingestion pipelines using Snowpipe, Matillion, or custom solutions with strong reliability and observability.
  • Implement dbt models with clean, tested, documented SQL that supports medallion architecture and incremental processing.
  • Create reusable templates, macros, and testing frameworks to accelerate onboarding of new data sources.
  • Implement data quality checks, freshness monitoring, anomaly detection, and incident response for pipeline reliability.
  • Translate business requirements into technical specifications and participate in design reviews and architecture decision records.
  • Collaborate with the Enterprise Data Architect, Engineering Director, and stakeholders to align pipelines with enterprise standards.

Requirements

  • Bachelor’s degree in computer science, information systems, engineering, or a related technical field; advanced degree is a plus.
  • 5+ years of professional data engineering experience, including at least 3 years in modern cloud data environments.
  • 2+ years of hands-on experience with Snowflake, including performance tuning, Snowpipe, and Snowflake-specific optimization patterns.
  • 2+ years of production experience with dbt Core or Cloud, including incremental models, testing, documentation, and package management.
  • Demonstrated experience with healthcare data and familiarity with ICD-10, NPI, NDC codes, and claims data quality challenges.
  • Production experience with orchestration tools such as Airflow, Dagster, or similar DAG-based systems.
  • Strong SQL skills for efficient query writing, debugging, and performance optimization.
  • Proficiency in Python for data processing, scripting, and pipeline automation.
  • Preferred experience with claims data aggregators such as McKesson, Symphony Health, IQVIA, or Komodo.
  • Preferred familiarity with formulary and payer data, medallion architecture, data observability tools, and managed ingestion solutions such as Snowpipe, Matillion, or Fivetran.
  • Preferred experience with Git-based workflows, CI/CD for data pipelines, and infrastructure-as-code.

Benefits

  • Remote-friendly role with flexibility for EU-based or India-based candidates.
  • Occasional travel for stakeholder meetings and strategic planning sessions.
  • Hands-on role with significant autonomy and end-to-end ownership.
  • Opportunity to build foundational data infrastructure in a growing healthcare and life sciences company.
  • Work on high-impact pipelines that support downstream analytics, products, and client deliverables.

Interested in this position?

Apply directly on the company website

Apply Now

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