Senior Data Engineer

Jobber helps small home service businesses manage their operations through technology, from quoting to scheduling and payments.
Edmonton, AB, CanadaToronto, ON, Canada
$130,000 - $180,000
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, focusing on managing data ingress systems and building robust data pipelines. The role is crucial for the company's data integration platform, working with small business service providers like plumbers, painters, and landscapers. The position offers the flexibility to work remotely across Canada or hybrid from offices in Edmonton or Toronto.

The ideal candidate will be responsible for developing and maintaining data pipelines, building models for CRM integration, and ensuring data quality across systems. They'll work closely with the Data Platform team to establish data contracts and collaborate with GTM teams for external system integration.

The company has been recognized as a Top 10 Great Place to Work in Canada and offers comprehensive benefits including health coverage, retirement matching, and stock options. They emphasize professional growth through dedicated talent development, mentorship opportunities, and a supportive work environment.

Key technical requirements include expertise in ETL pipeline development, experience with Airflow, data ingestion systems, and cloud infrastructure (AWS). The role demands both technical excellence and strong communication skills to work effectively with cross-functional teams.

Jobber is transforming the service industry through technology, helping small businesses succeed by streamlining their operations. The company manages billions in service delivery annually and continues to grow rapidly in the $400-billion industry.

Last updated 13 days ago

Responsibilities For Senior Data Engineer

  • Develop tools, frameworks, and workflows for data accessibility
  • Build robust alerting and monitoring systems
  • Collaborate across functions to support experiments and analyses
  • Work with software engineering teams in data-driven development
  • Sync data between Jobber and external systems
  • Build data models for the Data Integration Platform
  • Lead initiatives to research and propose emerging technologies
  • Participate in design and code reviews
  • Take ownership of data quality and establish best practices

Requirements For Senior Data Engineer

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

Benefits For Senior Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
Equity
Parental Leave
  • Extended health benefits package
  • Retirement savings plan matching
  • Stock options
  • Vacation time
  • Birthday off
  • Health days
  • Parental leave top-ups
  • Mental health support

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