Senior Data Engineer

Remote in Canada

Apply now Apply later

Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want! 

Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish for our customers.

We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals

The Data Platform team at Jobber:

As a Senior Data Engineer, reporting to the Manager of Data Engineering, you’ll be a key contributor on our Data Platform team.

Our team builds Jobber’s data infrastructure and systems, driving improved operational outcomes, enhancing workflow efficiencies, and generating critical business insights. We empower teams across the organization to fully leverage data, tools, and technology to achieve their goals. By researching, developing, and maintaining data systems, we provide essential operational and analytical support to ensure our internal teams are set up for success.

We're seeking individuals who are ready for their next challenge—those who want to use their expertise to influence people, processes, and decisions that have a direct impact on the company's trajectory.

The Senior Data Engineer will

  • Build Scalable Data Solutions: Design, develop, and maintain batch and real-time data pipelines within cloud infrastructure (preferably AWS). Leverage Python, SQL, and AWS technologies (Glue, Lambda, ECS Fargate) to ensure smooth data operations. Build scripts, serverless applications, and automated workflows.

  • Empower Internal Teams: Develop tools and frameworks that automate manual processes, set up alerting/monitoring systems, and help teams run data-driven experiments and analyze results. Work closely with cross-functional teams to support their needs and ensure data accessibility.

  • Accelerate Business Growth: Collaborate with data analysts, scientists, and product teams to extract actionable insights from data. Utilize tools like Airflow and dbt to streamline ETL/ELT pipelines and ensure the seamless flow of data.

  • Strategic Planning and Innovation: Lead initiatives to research and propose new technologies and tooling for our data stack, with an emphasis on performance and scalability. Participate in design and code reviews, continuously learning from and mentoring your peers.

  • Data Integrity: Own the integrity of our data and maintain a high level of trust across the organization.

To be successful, you should have:

  • Leadership Skills: Proven ability to lead and collaborate in team environments, fostering a culture of shared success.

  • Technical Proficiency:

    • Strong coding skills in Python and SQL.

    • Expertise in building and maintaining ETL pipelines using tools like Airflow and dbt.

    • Experience working with AWS data infrastructure, particularly Redshift, Glue, Lambda, and ECS Fargate.

    • Familiarity with handling large datasets using tools like Spark or similar (e.g., Trino).

    • Experience with Terraform for infrastructure management.

  • Data Expertise:

    • Experience with dimensional modelling, star schemas, and data warehousing in a cloud environment (preferably AWS Redshift).

    • Knowledge of CI/CD processes, data ingestion, and optimizing data flow across systems.

    • Proficient in working with high-volume, scalable data infrastructure.

  • Strong Communication: Ability to collaborate effectively with both technical and non-technical teams, explaining complex data concepts in a clear and concise manner.

It would be really great (but not a deal-breaker) if you had:

  • Experience with AWS tools like EMR and SageMaker.

  • Familiarity with Kafka for stream processing and message queuing.

  • Knowledge of NoSQL databases.

  • Hands-on experience with integration and APIs.

Work Environment:

At Jobber you will choose where you do your most impactful work from! You can work from home across Canada, or in a hybrid setting from one of our offices in Edmonton (HQ) or Toronto.

What you can expect from Jobber:

Having been named as a Top 10 Great Place to Work in Canada, we walk the talk. Here are just some of the great things you can expect from us:

  • A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, retirement savings plan matching, and stock options.
  • A dedicated Talent Development function, including Development Coaches, to help build the career you want and hit the goals you set, while ensuring you’re reaching your fullest potential.
  • Support for all your breaks: from vacation to rest and recharge, your birthday off to celebrate, health days to support your physical and mental health, and parental leave top-ups to support your growing family.
  • A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet.
  • To work with a group of people who are humble, supportive, and give a sh*t about our customers. 

We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process.

A bit more about us:

Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they’re successful we all win!

Apply now Apply later
  • Share this job via
  • 𝕏
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Engineering Jobs

Tags: Airflow APIs AWS CI/CD CX DataOps Data pipelines Data Warehousing dbt ECS ELT Engineering ETL Kafka Lambda NoSQL Pipelines Python Redshift Research SageMaker Spark SQL Terraform

Perks/benefits: Career development Equity / stock options Health care Home office stipend Parental leave Startup environment Transparency

Regions: Remote/Anywhere North America
Country: Canada

More jobs like this