Vancouver, British Columbia
Live, first seen by us 38 days agoPassion for designing elegant data solutions and platforms The salary range for this position is $135,000-$143,000.Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence the base pay offered. This salary range is reflective of a position based in Vancouver, CA. This salary will be subject to a geographic adjustment (according to a specific city and state) if an authorization is granted to work outside of the location listed in this posting. Salary
Salary 135,000 – 143,000 CAD per year #LI-TM2Read the full posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build ETL pipelines and scalable data models across the stack
Translate stakeholder needs into data deliverables
Create business-ready data solutions for non-engineers
Maintain the data library of core metric definitions and access tips
Train brand data analysts to support their dating brand's data needs
Improve the data technology stack through containerization, data modeling, ETL pipeline development, and building scalable/reliable solutions
Translate stakeholder needs into action items and deliverables
Create high-quality, business-ready data solutions suitable for non-engineers
Maintain the data library — core metric definitions, sample data, access tips
Train brand data analysts to support data needs at their dating brand
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Day 38
Similar jobs usually come down between day 6 and day 54.
At Match Group, jobs usually come down by about day 43.
From 11,115 similar postings that came down, and 15 of Match Group’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 5+ years of professional/industry experience - Expertise in SQL, data modeling, lakehouse architecture, and Python - Experience with Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational databases (e.g., SQL Server)
- Expertise in SQL, data modeling, lakehouse architecture, and Python - Experience with Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational databases (e.g., SQL Server) - Ability to drive initiatives and articulate their value to engineering and stakeholders
- Represent internal customers — advocate for changes, resourcing, re-architecture, or blockers - Support existing on-prem infrastructure and help expand into the cloud (AWS/Databricks) We could be a match if you have:
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
We're looking for a Sr. Data Engineer to join our new Match Group Core Data team. This new position is a hybrid role combining the technical expertise of a data engineer with the product-focused mindset of a product manager — ensuring data is effectively leveraged to build and improve data products for all brands and business units in Match Group.
The Core Data team is a service organization that delivers data and reporting solutions across the entire Match Group enterprise, supporting Marketing, Product, Finance, Accounting, Strategy, and Analytics teams for every brand (Tinder, Hinge, Match, OkCupid, PlentyOfFish, BLK, Chispa, and more).
Work with engineering teams to ensure data flows accurately from creation to presentation layers
Advocate for the Core Data team by championing best practices around scale, performance, and privacy
Improve the data technology stack through containerization, data modeling, ETL pipeline development, and building scalable/reliable solutions
Translate stakeholder needs into action items and deliverables
Create high-quality, business-ready data solutions suitable for non-engineers
Proactively brainstorm new metrics and data views for business partners
Maintain the data library — core metric definitions, sample data, access tips
Train brand data analysts to support data needs at their dating brand
Communicate regularly with key customers; maintain accurate release notes for platform changes
Represent internal customers — advocate for changes, resourcing, re-architecture, or blockers
Support existing on-prem infrastructure and help expand into the cloud (AWS/Databricks)
Experience with Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational databases (e.g., SQL Server)
Ability to drive initiatives and articulate their value to engineering and stakeholders
Experience delivering data products from conception to delivery
Strong written and verbal communication skills
Experience facilitating workshops across disparate groups
Passion for designing elegant data solutions and platforms
135,000 – 143,000 CAD per year
Full-time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Passion for designing elegant data solutions and platforms The salary range for this position is $135,000-$143,000.Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence the base pay offered. This salary range is reflective of a position based in Vancouver, CA. This salary will be subject to a geographic adjustment (according to a specific city and state) if an authorization is granted to work outside of the location listed in this posting. Salary
Salary 135,000 – 143,000 CAD per year #LI-TM2
Vancouver, British Columbia
When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. We're looking for a Sr. Data Engineer to join our new Match Group Core Data team. This new position is a hybrid role combining the technical expertise of a data engineer with the product-focused mindset of a product manager — ensuring data is effectively leveraged to build and improve data products for all brands and business units in Match Group. The Core Data team is a service organization that delivers data and reporting solutions across the entire Match Group enterprise, supporting Marketing, Product, Finance, Accounting, Strategy, and Analytics teams for every brand (Tinder, Hinge, Match, OkCupid, PlentyOfFish, BLK, Chispa, and more).
No clear work-authorization passage found. Eligibility is unconfirmed.
