Senior Data Engineer

Thumbtack; Toronto; On-site; CAD 252,593 - 326,885; Full time

Job summary

Thumbtack is hiring for an Embedded Data Engineer on the Commercial Operations team. You will design and maintain datasets, data marts, and feature stores to support a growing product line. Collaborate with analytics, data science, and ML teams to meet data needs and ensure data quality across business areas.

You will help build data products leveraging AI models for code generation and integrate AI-enabled workflows to speed development and improve data practices.

Qualifications

• Experience designing and building data sets and warehouses.
• Ability to collaborate with Analytics and other functions to identify improvements.

Responsibilities

• Collaborate to integrate data-thinking into the software development lifecycle for product teams.
• Design and maintain core data operations datasets, data marts, and feature stores for multiple products.
• Work with cross-functional partners to understand data needs and design datasets with engineering rigor.
• Drive data quality and best practices across business areas.
• Build data products using AI models for code generation and integrate agents into workflows.

Skills

SQL

Python

ETL pipelines

Data modeling

Stakeholder collaboration

AI in data eng

Tools

BigQuery

dbt

Apache Airflow

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 Engineering org is split into 3 groups: Core Data Engineering, Data Platform and Embedded Data Engineering. This role is on the Embedded Data Engineering team, which breaks down into multiple business units that data engineers are embedded into. This role would be on the commercial operations side of the house and will work closely with engineers, analysts, data scientists and machine learning engineers to help design and curate data sets originating from internal and third-party sources to meet current and future needs. Over the next year, it will continue to build on its prior successes in building a more cohesive data warehouse while starting to work more deeply upstream to build data best practices into the full software development lifecycle (SDLC).

The challenge
There are several teams all over Thumbtack with Terabytes of data and unique challenges trying to clean and organize this data to measure their performance. In this role, you will work with Engineers, Data Scientists, Managers, and others to understand their needs, and actively work to build datasets to tackle these challenges.

What You’ll Do

• Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for product teams.
• Design, architect, and maintain core operations datasets, data marts, and feature stores that support a blend of mature products and features with a rapidly evolving product line, in partnership with analytics, data science, and machine learning.
• Integrate deeply with our cross functional partners to understand their data needs, and help design datasets with the same engineering rigor as any other software we design.
• Drive data quality and best practices across different business areas.
• Help build the next generation data products at Thumbtack, leveraging AI models for code generation and incorporating agents into our workflows.

In order to be successful, you must bring

• 4+ years of experience designing and building data sets and warehouses.
• Excellent ability to understand the needs of and collaborate with stakeholders in other functions, especially Analytics, and identify opportunities for process improvements across teams.
• Expertise in SQL for analytics/reporting/business intelligence and also for building SQL- and Python-based transforms inside an ETL pipeline, or similar.
• Experience designing, architecting, and maintaining a data warehouse and data marts that seamlessly stitches together data from production databases, clickstream data, and external APIs to serve multiple stakeholders.
• Expertise building the above with a modern data stack based on a cloud-native data warehouse, in our case we use BigQuery, dbt, and Apache Airflow, but a similar stack is fine.
• Experience using AI to generate design plans, code and documentation as well as applying AI-enabled workflows to accelerate development velocity and improve data engineering practices.
• Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance.

Expected salary ranges

• For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $180,200.00 - $233,200.00.

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: [e-mail].
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