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Senior Data Engineer

3 months ago

Old Toronto Ontario, CA Maple Full time

ABOUT MAPLE

Founded in 2015, Maple is a fast-growing health tech company with a vision to power the future of healthcare by building a connected and superior experience for patients, doctors, and other types of health providers. We offer virtual care services across multiple distribution channels, including Direct-to-Consumer ("B2C"), Employers and Private Insurers ("B2B"), and Public Sector Institutions ("B2I"). With a growing network of 2,000+ healthcare providers and nearly 4 million Canadians with access to our services, Maple is one of Canada’s fastest-growing virtual care companies. We have established an entrepreneurial culture centred around our purpose to support people’s health and well-being and to strengthen the healthcare system. We attribute our success to our team, who has helped us achieve numerous noteworthy awards including LinkedIn's Top 10 Startups, Deloitte Canada’s Technology Fast 50, Globe & Mail's Top Growing Companies in Canada, North America’s Inspiring Workplaces, and Glory Professional’s The Power 50: Canada’s Most Impactful Companies.

THE POSITION

In support of a high-growth mandate, we’re hiring for the position of Senior Data Engineer to join our Data & Analytics team. At Maple, we believe in the power of data to drive innovation and shape the future. As a Senior Data Engineer, you will play a key role in this transformative journey through building and maintaining our data platform infrastructure.

In this position, you will be responsible for:

  • Co-owning Maple's data platform infrastructure, setting new standards in efficiency and scalability.
  • Guaranteeing the reliable ingestion, transformation, and availability of source data, empowering decision-makers with accurate insights.
  • Delivering automated reports to business partners and clients with precision and punctuality, contributing to seamless operations.
  • Collaborating with the team to construct intricate data models for advanced reporting and analysis.
  • Implementing CI/CD workflows and internal tools, boosting team productivity and efficiency.
  • Documenting processes, decisions, workflows, and best practices for future reference.
  • Supporting initiatives to enhance marketing analytics, product analytics, and experimentation capabilities.
  • Exploring and evaluating emerging tools, technologies, and practices.
  • Utilizing infrastructure-as-code (Terraform) to provide and configure third-party services ensures a robust foundation.

12 – 18 MONTH DELIVERABLES

Within the first 90 days, you will focus on establishing a robust foundation for Maple's data platform infrastructure. This includes taking ownership of the infrastructure, ensuring reliable data ingestion and transformation, and delivering automated reports to support seamless operations. Collaborating closely with other team members, you will contribute to constructing data models that drive advanced reporting and analysis. Additionally, you'll work on implementing CI/CD workflows and documenting processes for future reference.

In the next 12 to 18 months, you will implement changes to enhance automation, reliability, and performance. You will set up data quality monitoring systems, optimize data team workflow efficiency, mentor team members, share best practices, and contribute significantly to the team's objectives.

CANDIDATE PROFILE

  • The ideal candidate has at least 5 years of hands-on experience in data or analytics engineering, showcasing a robust track record of designing, implementing, and optimizing data solutions. This experience should encompass the end-to-end data lifecycle, including data modelling, ETL processes, and data warehousing.
  • Strong verbal and written communication skills to effectively articulate complex technical concepts.
  • Experience with cloud-based data warehouse services like Amazon Redshift (preferred), BigQuery, or Snowflake.
  • Familiarity with data integration tools such as Stitch, Fivetran, Census, Hightouch, etc.
  • Development experience using Python and SQL.
  • Proficiency in customer data platform (CDP) tools like RudderStack (preferred) or Segment.
  • A solid understanding and proficiency with data orchestration tools such as Dagster (preferred) or Airflow.
  • Experience with cloud platforms like AWS (preferred), GCP, or Microsoft Azure.
  • Knowledge of analytics engineering practices and dbt.
  • Knowledge of business intelligence tools like Looker (preferred), Tableau, etc.A working knowledge of web technologies, including HTTP, HTML, and JavaScript.
  • Terraform experience (bonus points)

Not checking every box? Please apply anyway. We understand that candidates have different experiences that may make them a fantastic fit for this position and Maple. We value equity, diversity, and inclusion and are committed to providing fair and equal opportunities to all applicants. We also want to provide an accessible interview process, so if there are any accommodations that would make your experience more comfortable, please let us know.

KEY COMPETENCIES

  • Technical Expertise
  • Data Management
  • Problem-Solving
  • Data Quality and Integrity
  • Collaboration
  • Adaptability
  • Communication

CULTURE AND ORGANIZATIONAL FIT

  • Passionate: We believe deeply in our company’s purpose and what we’re trying to accomplish as a team. We want all colleagues to feel passionate about improving access to high-quality healthcare through the power of technology, and to make a positive impact with the work we do, where we work, and in the community.
  • Supportive: We’re a diverse community that recognizes and embraces the individual differences of our people. We have fun coming to work and bringing the best out of each other. We value and encourage different and diverse perspectives from all parts of the organization.
  • United: We leave our egos at the door and act with humility. We work collaboratively to overcome obstacles that arise, and we’re united in our purpose and bringing our ambitious goals to life.
  • Creative: We challenge the status quo of what we think is possible with how we approach our work and projects, celebrating bold thinking. We’re focused on our priorities yet remain agile in how we deliver on our goals.

WORKING AT MAPLE

We want you to love working at Maple. We want you to feel challenged and supported, cared for, and driven. Just as we’re driven to grow, to improve, to iterate our products and services, we want you to take the same mindset as you work towards achieving your personal best. We can all learn, we can all develop, and we can all power the future of healthcare. But we can only do it together. At Maple, we are a team first and foremost. Your success is our success.

In order to support your health and well-being, we offer a comprehensive set of benefits and perks, including:

  • Health and dental benefits, insurance: 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), counselling, 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).
  • Dedicated Wellness Budget: Spend your budget on activities that support your physical and mental wellness.
  • Maple Coverage: You’ll get unlimited access to Maple for primary care, and a package of therapy consultations.
  • Paid Health Days: In addition to paid vacation, you’ll receive 10 Paid Health Days for you to use when you’re suddenly feeling sick and unable to work, whether it’s a physical or mental health condition, to attend healthcare appointments and procedures, or if you need to support a loved one with their healthcare needs.
  • Pregnancy and Parental Leave: We support parents who are welcoming a child into their life in a variety of ways, including a Supplemental Unemployment Benefit based on eligibility.
  • Professional Development Budget: We encourage all team members to seek opportunities for growth and learning to support professional development. That’s why your Branch Out Budget (“BOB”) is designed to reimburse you for expenses related to any meaningful professional development opportunities.

OTHER

Job type: Full-time

Hiring manager: Director, Data & Analytics

Location: Hybrid, 225 Richmond St W #201, Toronto, ON M5V 1W2

Start date: September 2024

Vacation: 4 weeks

Please note that any offer of employment may be subject to verification of employment and education background checks, including a criminal record check.

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