Zinnia is hiring a
Senior Data Engineer in Canada

Summary

The job is for a Senior Data Engineer at Zinnia, a company simplifying insurance products through technology solutions. The data engineer will be responsible for designing data architecture, optimizing algorithms, mentoring team members, and partnering with various stakeholders. They should have 7+ years of experience in data engineering, be comfortable with various tools and databases, and have a drive to learn new technologies.

Requirements

• You have 7+ years of data engineer experience coding in Python and using SQL
• Bachelor’s degree in Technology or Data Science or a related filed, work experience can be substituted for education
• You are comfortable with data engineering tooling such as jira, git, buildkite, terraform, airflow, dbt and containers as well as GCP tools such as kubernetes, cloud functions, and data store, and vertex ai
• You understand standard ETL patterns, modern data warehousing ideas such as data mesh or data vaulting, and data quality practices regarding test driven design and data observability
• You have some experience with ML Operations
• You have experience partnering with data analysts, data scientists, and engineering stakeholders
• You have a background in data engineering, computer science, software development or another engineering field
• You can communicate with a team and articulate ideas to both team members and non-technical stakeholders
• You have a drive to learn and master new technologies and techniques
• You have experience with relational cloud databases like MSSQL, Postgres, Oracle and BigQuery, but also comfortable working with unstructured files and datasets as well as 3rd party data sources and vendors

Responsibilities

• Take complicated algorithms, code review, optimize for production and integrate into product features or process flows
• Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data
• Design data pipelines utilizing ETL tools, event driven software, and other streaming software
• Partner with both data scientists and engineers to bring our amazing concepts to reality
• Ensure reliability in data pipelines and enforce data governance, security and protection of our customer’s information while balancing tech debt
• Mentor data engineering team members and even data scientists in architecture and coding techniques
• Partner with product and engineering teams to design data models for downstream data maximization
• Evaluate and champion new engineering tools that help us move faster and scale our team

Benefits

• The opportunity to work with a fantastic team with a great culture
• The opportunity to be part of an innovative and exciting company that is completely changing an outdated industry
• The opportunity to grow professionally in a dynamic and fun environment
• A competitive compensation plan
• Hybrid work from home and office model
• A flexible time off policy which includes unlimited wellness days, personal days and vacation time
• Two volunteer days
• A day off on your Birthday
• The company paid top-tier health benefits plan and a telemedicine service
• A stipend for your home office setup