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Match Group

Senior Data Engineer

Match Group is hiring a Senior Data Engineer in Vancouver, Canada. It pays CAD 135k-CAD 143k a year and Level rates it ; you can apply on Match Group.

Level's read on this job

  • Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Databricks.
  • Level classifies it as a senior role.
  • Level lists 70 other open roles at Match Group.

AI in this role

Databricks
Know where you belong!

Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. 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).

How you'll make an impact:

  • 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)

We could be a match if you have:

  • 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)

  • 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

#LI-TM2
Why Match Group? Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
  • Generous vacation, flex days, professional development days
  • RRSP matching, and employee stock purchase plan
  • Professional development budget and unlimited access to Udemy from day one
  • Match Group mentorship program
  • Parental leave top up and fertility preservation benefits
  • Extended health & dental benefits from day one
  • Corporate ClassPass membership and other wellness benefits
We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require a reasonable accommodation to participate in the hiring process — such as during pre-employment testing or interviews — please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage. #MG

How we rate this

Senior Data Engineer at Match Group rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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