Data Engineer

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Develop robust data infrastructure to support the onboarding and implementation of customers.

• Create and deploy tools powered by Claude to automate the triage of production incidents and propose fixes.

• Build automation tools for the configuration and ingestion of new customer data sets.

• Define, prototype, and execute comprehensive data solutions for intricate data challenges.

• Provide guidance to internal teams and customers on best practices for data integration, architecture, and management.

• Construct scalable ingestion pipelines utilizing AWS tools and services.

• Establish integrations with Veeva, Salesforce, and other external data sources.

• Participate in the development of proof-of-concept projects and internal applications.

• Design APIs and data models for internal data access and interoperability across systems.

• Investigate and integrate new data sources.

• Develop warehouse schemas to enhance analytics and product capabilities.

• Collaborate with product and engineering teams to ensure data systems align with strategic goals.

⛳️ Requirements

• A minimum of 3 years of experience in data engineering and production-quality data pipelines.

• Extensive experience with AWS tools, including ECS, S3, Lambda, DynamoDB, and API Gateway.

• Proficiency in using Snowflake.

• Familiarity with Dagster or Airflow for orchestration and workflow management.

• Strong programming skills in Python.

• Experience in constructing and optimizing complex data models using dbt.

• Comprehensive understanding of ETL processes.

• Solid grasp of data structures, algorithms, and database design principles.

• Expertise in developing performant SQL schemas and queries.

• Knowledge of CI/CD and test-driven development within a production setting.

• Experience in integrating CRM systems like Veeva and Salesforce.

• Background in handling healthcare, pharmaceutical, or pharmacy-related datasets is highly advantageous.

• Proven experience with the AWS stack or a comparable cloud platform.

• History of modernizing data environments and transitioning legacy systems to cloud-native architectures.

• Ability to manage projects autonomously, prioritize tasks effectively, and adapt to evolving business requirements.

• Exceptional communication skills for conveying intricate technical concepts to both technical and non-technical audiences.

🏝️ Benefits

• Significant stock option grants.

• Immediate enrollment in medical and dental plans.

• Flexible time-off policy.

• Option to work from home.

• Deliberate and valuable in-person collaboration and social events.

• Opportunities for career development.

• A culture rooted in values.

• An AI-native environment leveraging AI and agentic automation.