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Weekend Amazon Data Engineer Jobs in Toronto, ON

Dentsu Aegis Network

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ... Meta Advanced Analytics, Amazon Marketing Cloud). * Experience withbroader cloud ...

NimbleRx

Senior Data Engineer

Toronto, ON

As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team ... together last weekend * Track record of working across teams that don't speak your language ...

Pelmorex

Senior Data Engineer - Hybrid

Oakville, ON

... weekend earlier during the summer months! 17 Paid Days Off (in addition to 13 Personal Days) This ... We're looking for a Data Engineer who doesn't just move data, but understands how data quality ...

Belcan

Data Scientist

Mississauga, ON

L5T Keywords: #data.scientist.jobs #aerospace.industry.jobs #data.engineering.jobs The Engine ... Amazon AWS and Databricks cloud-based deployments -Experience in turbomachinery performance ...

OpsGuru

Sr. Data Solutions Architect

Toronto, ON · Remote

OpsGuru, a Carbon60 Company, is a global engineering and consulting group that helps organizations ... as Amazon Aurora) * Experience with NoSQL databases such as MongoDB, Cassandra, CouchDB ...

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All JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Toronto, ON

Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are popular job titles related to Weekend Amazon Data Engineer jobs in Toronto, ON? For Weekend Amazon Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Toronto, ON look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Weekend Amazon Data Engineer jobs? Cities near Toronto, ON with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Data Engineer

Dentsu Aegis Network

Toronto, ON

CA$70K - CA$80K/yr

Full-time

Medical, Dental, PTO

Posted 20 days ago

Job description

Job Description:

Our mission is to Drive Business Performance. We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients meet their quantifiable business goals every day, consistently, in every market. We are entirely focused on delivering better business results through optimization, creation and analysis across all digital platforms. Our scope ranges from recommending how to use content more effectively to optimizing daily media channel performance and maximizing visibility in eCommerce platforms.

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ingestion, modelling, and delivery of data from the advertising platforms our clients run on - building reliable pipelines in a cloud data warehouse (BigQuery, Redshift, or Snowflake) that power reporting, analytics, and activation.

Accountabilities:

  • Design, build, andmaintainproduction data pipelines ina cloud data warehouse -BigQuery,Redshift, or Snowflake -from ingestion through to analytics-ready models.

  • Develop and manage API and connector-based integrations with major advertising platforms:Google Ads, GA4, Meta, TikTok, DV360, Campaign Manager 360, LinkedIn Ads, and similar.

  • Model campaign, spend, and performance data into clean, well-documented datasets that media, analytics, and client-services teams can trust.

  • Monitor pipeline healthinclusive of enabling taxonomy compliance, troubleshoot data discrepancies against platform UIs, and own the fix end-to-end.

  • Partner with analysts, strategists, and ad-ops to translate reporting and measurement needs into scalable data models.

  • Contribute to data quality, documentation, and engineering standards across the team.

Qualifications:

  • 3-5years of professional data engineering experience, including production deployments ona major cloud data warehousesuch asBigQuery, Redshift, or Snowflake.

  • Strong SQL skills and solid Python (or equivalent) for pipeline development and transformation logic.

  • Demonstrated experience working with advertising platform data,pulling from platform APIs or connectors (e.g., Google Ads, GA4, Meta, TikTok, DV360) and reconciling it against platform reporting.

  • Understanding of advertising data concepts: impressions, clicks, conversions, attribution windows, UTM taxonomy,audienceand cost data.

  • Experience with a workflow orchestrator (Airflow,Dagster, Prefect, or similar) and version control (Git).

  • Comfort working directly with non-technical stakeholders(media planners, analysts, and account leads)to scope and deliver.

Nice to have:

  • Experience withdbtfor transformation and modelling.

  • Familiarity with Looker Studio,PowerBI, or similarfor downstream BI enablement.

  • Exposure to marketing measurement worksuch asMMM, MTA, incrementality testing, or clean-room environments (Ads Data Hub, Meta Advanced Analytics, Amazon Marketing Cloud).

  • Experience withbroader cloud platformservicessuch asGCP(Cloud Functions, Pub/Sub, Dataflow), AWS (Lambda, S3, Glue), or Azure equivalents.

  • Exposure to Databricks or otherlakehouseplatforms for large-scale data processing.

  • Prior experience at a media agency, ad-tech vendor, or in-house marketing data team.

Additional information

Vacancy:Is this posting for the purposes of filling an existing vacancy [Y/N]

The salary range for this position is$70k-80k. Actual salary within thesalary range will be based on avariety of factors including relevantexperience, knowledge, and skills.A range of medical, dental, RRSP,paid time off, and/or other benefitsalso are available to all permanentemployees.

AI Disclosure: [dentsu] utilizes artificial intelligence tools as part of its recruitment process, as during the sourcing and screening stages. All other parts of the dentsu application and hiring processes do not utilize artificial intelligence tools.

We know through experience that different ideas, perspectives and backgrounds foster a stronger and more creative work environment that delivers better business results. We strive to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work. We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact Canada.Recruitment@dentsu.com or to begin a conversation about your individual accessibility needs throughout the hiring process.

Location:

Toronto

Brand:

Dentsu Media

Time Type:

Full time

Contract Type:

Permanent

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