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Added 8 mins ago
Pre-Planning Director
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Full-time
Passion for customer care demonstrated in previous professional experiences and a strong discipline for working in a customer-centric service organization. Experience in business…
Added 8 mins ago
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Added 8 mins ago
Transportation Operations Manager
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$80,000 to $110,000 CAD / year
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Added 8 mins ago
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spécialiste, Marchandisage
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Added 8 mins ago
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Javelin Venture Partners

Manager, Data Engineering

ON, Canada
Ontario, Canada, 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
Apply by: Oct 23, 2026
Experience: 2+ years managing engineers, or experience as a tech lead ready to step into first-line management.
Posting language: English
Posted: Sep 23, 2026

Apply About employer

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Original job description

Thumbtack

Data Science

Full-time

Ontario, Canada

British Columbia, Canada

Posted on Sep 23, 2026

Apply now

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: recruitingops@thumbtack.com.

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 two domain-aligned data engineering subteams, setting priorities and engineering standards while hiring and developing engineers and technical leads. Build durable, well-tested datasets and auditable revenue models, improve pipeline reliability and governance, and partner with Finance, Supply Acquisition, and Business Platforms.

Requirements

Requires at least 2 years managing engineers or experience as a technical lead ready to move into first-line management, plus 6 or more years building production data or software systems. Candidates should have strong SQL, dimensional and event modeling, Python, experience owning dependable datasets, and the ability to translate ambiguous business needs into durable models and metrics.

Skills

Data Engineering
SQL
Dimensional Modeling
Event Modeling
Python
Data Modeling
Data Governance
Data Pipeline Reliability
dbt
BigQuery
Airflow
MetricFlow
Anomaly Detection
CI/CD
Engineering Management
Financial Data Reconciliation

Visa sponsorship

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Keywords

Data Engineering
Data Science
BigQuery
dbt
Airflow
MetricFlow
SQL
Python
Dimensional Modeling
Event Modeling
Data Governance
Financial Data
Revenue Models
Data Pipelines
Anomaly Detection
Automated Testing
Continuous Integration
Data Contracts
Data Versioning
API-First Systems
Agentic Workflows
Marketplace Data
Metric Definitions
Engineering Management
Technical Leadership
Finance
Supply Acquisition
Business Platforms

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