Hybrid Data Platform Engineer

at Helcim

• Job title: Data Platform Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, BigQuery, Python, SQL
• Location requirements: Hybrid, Calgary, Canada

About the role

• Data Platform Developer responsible for building and maintaining Helcim’s data platform for insights. Collaborating across functions to implement scalable data solutions in a hybrid work environment.

Responsibilities

• Design and implement end-to-end data pipelines across structured & semi-unstructured data to serve our machine learning models, AI systems’, and business intelligence needs.
• Expand upon our existing AI tooling to implement solutions for data analytics & data management needs.
• Help define our data governance needs and build out automations and AI tools to ensure our data platform matches them.
• Continuously improve our existing self-hosted data platform infrastructure while ensuring optimal performance.
• Enhance Helcim’s data centre of excellence by equipping teams with the necessary data and tools.
• Fostering broader interaction and contribution to the data platform by providing training, conducting code reviews, and co-designing solutions with other Helcim members.

Requirements

• 3+ years of experience as a data engineer or similar role
• Experience working with both structured and unstructured data
• Experience working cross functionally to deploy data products into production
• Demonstrated ability to engage with cross-functional and non-technical stakeholders to understand project objectives, gather requirements, and build data assets that solve needs across multiple domains.
• Ability to implement architectural patterns and data assets that match those patterns
• A proactive mindset with the ability to thrive in a fast-paced environment, prioritizing iterative technical solutions to solve complex problems.
• Bonus points if you have: Experience working with financial, go-to-market, and sensitive data will be a significant asset
• Experience working with the programming languages of our analytics stack (SQL, Python)
• Experience with data warehousing technologies (we use BigQuery, dbt, Airflow, Airbyte)
• Experience implementing AI tooling into day-to-day operations
• Experience with code driven infrastructure
• Experience implementing data governance processes around data quality and metadata.

Benefits

• Health and dental benefits: Through our Group Benefits, you’ll get access to dental benefits, extended healthcare benefits for drugs, vision, paramedical coverage (e.g. massage therapists, dieticians, mental health professionals), counseling, health service navigation, life insurance, critical illness and disability insurance, and more.
• Dedicated Health Spending Account (“HSA”): An additional budget available for you to spend on health-related expenses (e.g. eyeglasses, therapy).
• Maternity and Parental Leave: To help launch our team members into this phase of family life we have some additional benefits in place including salary top for the birthing parents and a bonding break for non-birthing parents.
• Stock Options: Stock options enable our team to purchase Helcim shares at a future date at a specified price. Every team member, not just people leaders and executives receive equity (aka ownership in the company).
• Vacation Time: All team members get paid vacation time and a company break in December so they can recharge when they need it.
• Flexible work location: Work and life happens at different times and places. This is why our team enjoys the flexibility of hybrid work and flexibility around hours of work, so we can all do our best work. Our hybrid work schedule offers flexibility to work from home on Tuesdays and Thursdays. Furthermore, our core hours give team members flexibility to manage other parts of their lives.
• Training: Helcim will cover 50% of the applicable training costs of up to $500 per year.