Which cities near Old toronto, ON have the most data engineer job openings?

The cities near Old toronto, ON that boast the highest number of data engineer jobs are: Toronto Mississauga North York Brampton Oshawa Vaughan Oakville St. Catharines Pickering Bradford West Gwillimbury

Which cities near Old toronto, ON have the most job openings?

The 10 cities near Old toronto, ON that have the most job openings are: Toronto Mississauga North York Hamilton Brampton Oshawa Vaughan Oakville Burlington St. Catharines

What are the most popular job searches in Old toronto, ON?

The 10 most popular job searches in Old toronto, ON are: amazon work from home driver driving canada post drive construction government weekend weekend weekend

Which cities in Canada offer the highest salaries for data engineer jobs?

The top 10 cities are: Kitchener, ON ( from $ 84,695 to $ 285,460 year ) Iroquois Falls, ON ( from $ 134,453 to $ 181,248 year ) Prince George, BC ( from $ 92,469 to $ 180,500 year ) Thunder Bay, ON ( from $ 120,000 to $ 177,500 year ) Glace Bay, NS ( from $ 120,000 to $ 177,500 year ) Niagara Falls, ON ( from $ 128,175 to $ 176,710 year ) Spruce Grove, AB ( from $ 153,483 to $ 173,684 year ) Chatham-Kent, ON ( from $ 121,003 to $ 173,490 year ) Surrey, BC ( from $ 112,450 to $ 172,519 year ) Medicine Hat, AB ( from $ 117,476 to $ 170,000 year )

Data engineer Jobs in Old toronto, ON

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Data engineer • old toronto on

Last updated: 4 days ago

Data Engineer - Platform Central Data

SpotifyToronto

Full-time

Data Engineer

Apex SystemsToronto, ON

Full-time

Quick Apply

As a Senior Data Engineer, you will design, develop, and optimize data systems and pipelines to support Wealth Management - Asset Management analytics and reporting capabilities.You will work close...Show moreLast updated: 4 days ago

Data Platform Engineer

Astra North Infoteck Inc.Toronto, ON, ca

Full-time

Job Description – Data Platform Engineer – NiFi / Spark / Kafka.Show moreLast updated: 20 days ago

AI and Data - Data Engineer

EYToronto, ON, CA, M5H 0B3

Full-time

We are looking for a Data Engineer.Our AI & Data practice works collaboratively with our clients to enhance their ability to use and interpret data and develop their own enhanced information manage...Show moreLast updated: 30+ days ago

Data Engineer

WELL Health Technologies CorpToronto, Ontario, Canada, M6K 1X9

Full-time

Quick Apply

WELL Health is an innovative technology enabled healthcare company whose overarching objective is to positively impact health outcomes by leveraging technology to empower and support healthcare pra...Show moreLast updated: 14 days ago

Data Engineer

CI Financial Corp.Toronto, ON, CA

Full-time

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to gro...Show moreLast updated: 30+ days ago

Data Engineer - Platform Central Data

SpotifyToronto

30+ days ago

Job type

Full-time

Job description

We’re looking for a mid-level Data Engineer to build data-driven engineering initiatives within Spotify’s Platform Mission on the Platform Central Data (PCD) squad, a mixed Data Engineering / Analytics Engineering team. You’ll design and operate reliable datasets and workflow automations that power developer productivity, platform health, leadership decision-making, and ML and AI Platform Metrics. Working shoulder to shoulder with our AE teammates, plus Product and Platform partners, you’ll turn complex platform signals into trusted, actionable data that helps Spotify ship faster and safer.

What You'll Do

Build and operate reliable, well-modeled data pipelines and products using SQL, Python, and Scala, with strong testing, observability, and CI / CD. For distributed processing you will use Apache Spark or Scio, or equivalent technologies like Apache Beam or Flink.
Partner in a mixed DE and AE squad to translate complex platform and developer experience use cases into trustworthy datasets, metrics, and ML and AI insights workflows.
Improve data quality, performance, and cost efficiency across existing pipelines, including troubleshooting, backfills, and iterative hardening.
Collaborate with Product, Engineering, and Data Science partners to deliver end to end outcomes, from scoping and modeling to rollout and documentation.
Contribute to agile rituals and take part in a fair support rotation for key pipelines and datasets.

Who You Are

You have 3+ years building production quality data solutions with complex domain logic, and you use strong SQL to answer questions and debug problems.

You have experience with a cloud data warehouse, for example BigQuery, Snowflake, Redshift, or Databricks SQL, and with distributed processing frameworks such as Apache Spark or Scio (Scala for Apache Beam), or equivalents like Apache Beam or Flink.

You are comfortable with Python or Scala and with one or more transformation frameworks, for example dbt or equivalent SQL based transformations.

You have used a workflow orchestrator such as Airflow, Dagster, Prefect, or Flyte, and you care about reliability, monitoring, and testability.

You communicate clearly with both technical and non technical partners, and you can prioritize and deliver in a changing environment.

Experience in platform and developer productivity, experimentation, or ML and AI platform metrics is a plus.

Where You'll Be

This role is based in Toronto.

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The Canadian base range for this position is 94,821 - 135,458 plus equity.