Instinct Science

Senior Data Engineer

Instinct Science

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $140,000 - $180,000 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSETLPythonSQLTerraform

About the role

  • Build, maintain, and scale ETL pipelines using Airflow, dbt, and AWS-native services
  • Manage and optimize Redshift clusters for performance, scalability, and cost-efficiency
  • Own the architecture and lifecycle of our core data infrastructure
  • Lead with Purpose, Support with Context
  • Serve as the subject matter expert on data engineering for both platform and product teams
  • Collaborate with engineering teams to ensure data is modeled and accessible in ways that support reporting and feature development
  • Help define data governance policies and enforce access controls across services
  • Trust Through Transparency and Resilience: Build observability and alerting into pipelines to catch issues before they impact users
  • Implement monitoring and reliability tools using Datadog or similar platforms
  • Ensure systems are designed to meet compliance and audit standards (SOC 2, HIPAA, etc.)
  • Champion Curiosity and Collaboration
  • Partner cross-functionally to gather data requirements and translate them into scalable solutions
  • Participate in sprint planning, design reviews, and retrospectives
  • Mentor junior team members and promote data engineering best practices across the company
  • Remote work at Instinct with veterinary EMR focus

Requirements

  • 5+ years of experience in data engineering with a strong focus on AWS environments
  • Proficiency in Redshift and data warehouse performance tuning
  • Hands-on experience with Airflow or other orchestration frameworks
  • Expertise in SQL, Python, and data modeling
  • Experience with dbt and modular data modeling
  • Familiarity with observability tools like Datadog
  • Experience with Terraform, CloudFormation, or similar IaC tools
  • Understanding of compliance frameworks such as SOC 2, HIPAA, or ISO 27001
  • Exposure to event-driven or real-time data architectures
  • Background in supporting embedded analytics or data services in SaaS products