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Added 6 mins ago
Senior Audio Visual Technician
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Full-time
…events, workplace experiences, hospitality services, audiovisual production, and multimedia…
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Added 22 mins ago
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Added 22 mins ago
Manager, Business Enterprise Systems
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Added 1 hour ago
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$8,810.92 to $13,202.5 CAD / month
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Added 1 hour ago
Manager, Data Engineering
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Remote, Canada
Full-time · Remote
Hire and grow mid-level and senior data engineers, and develop TLs who can own a domain end-to-end.
Added 1 hour ago
Full Stack Engineer (.NET/ Angular)
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$85 to $95 CAD / hour
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Senior Manager, Marketing & Communications
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$130,000 to $170,000 CAD / year
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Added 2 hours ago
Senior Manager - Program & Project Management
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Senior Cost Analyst / Analyste principal(e) en coûts
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Added 3 hours ago
Lead, Project Manager
Creative Circle
Toronto, ON
$55 to $60 CAD / hour
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- You will serve as a confident, trusted senior point of contact that clients rely on for both ongoing program health and high-stakes escalations.
Added 3 hours ago
Senior Publicist- Lifestyle
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Toronto, ON
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Reporting to the Publicity Manager, with the support of a Publicist and a Publicity Coordinator, the Senior Publicist is responsible for developing and executing integrated publicity…
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Senior Sales Manager
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Thumbtack

Manager, Data Engineering

Remote, Canada

Pay: For candidates living in Ontario and British Columbia, the expected total cash compensation (base salary + variable pay, if applicable) range for the role is currently $185,300.00 - $239,800.00.
Job type: Full-time
Workplace: Remote
Experience: 2+ years managing engineers, or experience as a tech lead ready to step into first-line management.
Posting language: English
Posted: Sep 22, 2026

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Original job description

Thumbtack helps millions of people confidently care for their homes.

Thumbtack is the one app you need to take care of and improve your home - from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.

About the Data Engineering Team

Thumbtack's Data organization is responsible for the foundations of our marketplace data: the event taxonomy used across product surfaces, the core entity models for requests, projects, pros, and customers, and the financial models that support company reporting. Nearly every team at Thumbtack is downstream of our work.

Data Engineering is organized as domain-aligned teams, each embedded with the parts of the business it serves, working alongside a platform team that owns the systems underneath. Data modeling at Thumbtack is a function of how well you understand the domain you're modeling, so we put engineers close to it and hold them to a high bar on correctness, testing, and the durability of what they ship.

The challenge

This team works at the intersection of financial data governance and rapid product iteration. Thumbtack’s revenue models must be auditable, reconcilable, and resilient to upstream changes. At the same time, the teams responsible for Pro acquisition, activation, and partnerships are continually evolving the products, often affecting the same models Finance relies on.

The team has already introduced anomaly detection into its core pipelines to identify upstream definition changes before they affect revenue reporting, but the next step is to develop predictive capabilities that show how proposed product and data-model changes could affect financial results before those changes are released.

The stack includes BigQuery, dbt, Airflow, and MetricFlow. dbt testing and CI are already established, with significant opportunities to expand automation. The team also owns the governance tooling used to protect core pipelines and maintain trusted data across the company.

Thumbtack is also rebuilding the platforms that support sales, support, and trust & safety around API-first systems and agentic workflows. A separate, funded team owns the platform work; this team will be responsible for helping architect the resulting data beginning next year.

The team this role will lead is organized into two subteams: one partners closely with Finance, while the other is embedded with Supply Acquisition and Business Platforms. Several engineers will be joining at roughly the same time as you. Each subteam owns its roadmap, giving you a direct role in setting priorities and shaping how the team operates.

What you’ll do

Deliver well-modeled, durable datasets for requests, projects, pros, and customers that the rest of the company builds on without asking who owns them.
Partner with Finance so revenue models reconcile, hold their definitions under upstream change, and are auditable.
Partner with the Supply Acquisition and Business Platforms teams on their roadmaps, and turn their priorities into yours without waiting to be handed tickets.
Raise the reliability floor on the core pipelines: dbt tests, CI, anomaly detection, and clear contracts so a definition change three hops upstream doesn't quietly move a reported number.
Hire and grow mid-level and senior data engineers, and develop TLs who can own a domain end-to-end.
Set the engineering standards for a team that's still forming, including review, testing, and how the team decides what not to build.
Lead as a technical manager. You'll make and defend modeling and architecture decisions, not just route them.

In order to be successful, you must bring

2+ years managing engineers, or experience as a tech lead ready to step into first-line management.
6+ years building data or software systems in production.
Depth in SQL and dimensional and event modeling, and comfort in Python. You'll be in code reviews, in the DAG when something breaks, and in modeling design discussions.
Experience owning datasets that other teams depend on, with the testing, contracts, and versioning discipline that requires.
Track record of translating ambiguous business questions into durable models and metric definitions.
Strong collaboration and written communication. Most of this team's leverage comes from working well with partner teams that have their own priorities.
Commitment to building inclusive teams and team culture.

Expected salary ranges

For candidates living in Ontario and British Columbia, the expected total cash compensation (base salary + variable pay, if applicable) range for the role is currently $185,300.00 - $239,800.00.

Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.

Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: [email protected].

For information about how Thumbtack collects, uses, and shares personal information about job applicants, please see our Job Applicant Privacy Policy.

We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes.

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More about this job

Responsibilities

Lead a team of data engineers to build durable, well-modeled datasets and partner with Finance and Business teams to ensure data accuracy and reliability. You will set engineering standards, drive architectural decisions, and mentor team members to support rapid product iteration.

Requirements

Requires 6+ years of experience building data or software systems and 2+ years in a management or technical leadership role. Candidates must possess deep expertise in SQL, dimensional modeling, and Python, along with strong collaboration and communication skills.

Skills

Data Engineering
SQL
Python
Dimensional Modeling
Event Modeling
BigQuery
dbt
Airflow
MetricFlow
Data Governance
Financial Modeling
Team Leadership
CI/CD
Anomaly Detection
Data Architecture

Remote locations

Ontario, Canada
British Columbia, Canada

Remote locations (standardized)

British Columbia, Canada
Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
BigQuery
dbt
Airflow
MetricFlow
SQL
Python
Dimensional Modeling
Event Modeling
Data Governance
Financial Reporting
CI/CD
Anomaly Detection
Data Pipelines
API-first
Agentic Workflows
Technical Leadership
Data Modeling
Business Intelligence
Marketplace Data
Revenue Models
Software Engineering
Data Quality
System Architecture
Team Management

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