Senior Data Engineer

Jobber helps small home service businesses manage their operations through technology, enabling them to quote, schedule, invoice, and collect payments.
Edmonton, AB, CanadaToronto, ON, Canada
$125,800 - $170,100
Data
Senior Software Engineer
Hybrid
501 - 1,000 Employees
5+ years of experience
Enterprise SaaS

Description For Senior Data Engineer

Jobber is seeking a Senior Data Engineer to join their Data Integration team, offering a competitive salary range of $125,800 to $170,100. The role focuses on managing data ingress systems, building and maintaining ETL pipelines, and developing data models for seamless integration with external systems.

The position is part of Jobber's mission to transform how small home service businesses operate through technology. As a Senior Data Engineer, you'll be responsible for developing tools and frameworks that enhance data accessibility, building robust monitoring systems, and ensuring data quality across the organization. The role requires expertise in ETL pipeline development, cloud infrastructure (AWS), and experience with tools like Airflow, Kafka, and SQL.

Jobber offers a flexible work environment with hybrid options in Edmonton or Toronto. The company has been recognized as a Top 10 Great Place to Work in Canada and provides comprehensive benefits including extended health coverage, retirement savings matching, and stock options. They emphasize professional growth through their dedicated Talent Development program and coaching opportunities.

The ideal candidate will have strong technical skills in data engineering and infrastructure, experience with dimensional modeling, and excellent communication abilities to work with both technical and non-technical stakeholders. This role presents an opportunity to impact a $400-billion industry while working with a supportive team committed to customer success.

Working at Jobber means joining a culture of transparency, inclusivity, and innovation, with opportunities to grow professionally through mentorship, hackathons, and continuous learning. The company values work-life harmony and provides various support systems for employee well-being and career development.

Last updated 8 days ago

Responsibilities For Senior Data Engineer

  • Develop tools, frameworks, and workflows that reduce manual processes and enhance data accessibility
  • Build robust alerting and monitoring systems
  • Collaborate across functions to support experiments and analyses
  • Work with software engineering teams in a collaborative environment
  • Build data models for the Data Integration Platform
  • Lead initiatives to research and propose emerging technologies
  • Take ownership of data quality and establish best practices

Requirements For Senior Data Engineer

Python
Kafka
PostgreSQL
  • Excellent ETL pipeline development skills and experience with Airflow
  • Experience with CI/CD practices and optimizing data flow
  • Experience with Data ingestion systems (Fivetran/Airbyte) and Reverse ETL systems
  • Experience with dimensional modeling and warehousing concepts
  • Proficiency in cloud infrastructure (AWS)
  • Strong skills in SQL, stream processing, and Containerization
  • Ability to explain complex data concepts to stakeholders
  • Experience with message queues (Kafka) and real-time stream processing

Benefits For Senior Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
401k
Equity
  • Extended health benefits package with fully paid premiums
  • Retirement savings plan matching
  • Stock options
  • Talent Development program with Development Coaches
  • Vacation and health days
  • Birthday off
  • Parental leave top-ups
  • Annual stipends for health and wellness

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