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Data Engineer Airflow Jobs in Toronto, ON (NOW HIRING)

Role: GCP Data Engineer Location: Vaughan, ON Type: Full Time - Contract 6 months (Extendable ... Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and ...

Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring Batch, or ... Engineering, data integration, or analytics engineering. * Strong programming skills in Python ...

DBT, ETL/ELT, Airflow and Data Transformation * Hands-on experience with dbt for data ... Programming and Technical Skills * Strong SQL development skills. * Strong Python programming and ...

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a ... Strong skills in SQL, Python, Airflow, Snowflake, AWS Glue, S3, Lambda, and Terraform. * Experience ...

Develop and deploy highly performant, reliable, and maintainable pipelines using Airflow and ... Serve as the dedicated data engineering resource for our Custom Solutions work, partnering closely ...

Develop and deploy highly performant, reliable, and maintainable pipelines using Airflow and ... Serve as the dedicated data engineering resource for our Custom Solutions work, partnering closely ...

Orchestrate pipelines using Airflow (or equivalent) and/or AWS-native services (e.g., event ... Data engineering and architecture: Medallion architecturepatterns (Bronze/Silver/Gold), schema ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In ... Experience with Apache Airflow - being comfortable building and debugging DAGs, managing task ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In ... Experience with Apache Airflow - being comfortable building and debugging DAGs, managing task ...

Experience with Dagster or Airflow for orchestration and workflow management * Strong programming proficiency in Python * Experience building and optimizing complex data models utilizing DBT with a ...

... Airflow, DBT). · Expertise in Big Data Technologies (e.g., Spark, Hadoop). · Knowledge of Cloud Platforms (AWS, GCP, or Azure) and services like S3, Redshift, BigQuery,or Snowflake. · Experience ...

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... Airflow, DBT). Expertise in Big Data Technologies (e.g., Spark, Hadoop). Knowledge of Cloud ...

Data Engineer

Toronto, ON · Hybrid

CA$119K - CA$161K/yr

What your team does: Our growing data engineering team is driven to deliver an incredible ... Spark, Kafka, Airflow * Data warehousing experience working with Databricks or similar * Experience ...

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines ... Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools * Solid understanding of ...

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving ... Airflow, dbt - Data storage and warehousing: PostgreSQL, Redshift, MongoDB (for unstructured data ...

This is a hands-on engineering role for someone who thrives in code, designing and delivering high ... Experience with workflow orchestration using Apache Airflow. * Experience building data processing ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Apache Airflow, dbt, Alation * Strong understanding of data modeling, metadata, lineage, and data ...

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Showing results 1-20

Data Engineer Airflow information

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What job categories do people searching Data Engineer Airflow jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Airflow jobs in Toronto, ON are:

Infographic showing various Data Engineer Airflow job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Intermediate Data Engineer ( SQL, Databricks/ Snowflakes, DBT, Airflow)

Talent To Hire Inc.

Toronto, ON • Remote

Full-time

Re-posted 24 days ago


Job description

INTERMEDIATE DATA ENGINEER- Toronto ( 3 days downtown/Hybrid)

Our client is interviewing to onboard an Intermediate Data Engineer to join their Data & Analytics team . We are looking for an Intermediate Data Engineer with proven track record working within the Financial sector. You’ll help build and optimize scalable data pipelines, support data governance, and enable advanced analytics across the organization. Be part of a high-impact team driving data innovation in the wealth tech space.

What You’ll Do:

  • Design, build, and maintain robust ETL/ELT data pipelines.

  • Collaborate with analysts and business teams to translate needs into technical solutions.

  • Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools.

  • Ensure data quality, observability, and governance across systems.

  • Support migration projects to cloud-based platforms.

What You’ll Bring:

  • 5-7 years of data engineering experience.

  • Must have Solid SQL and either Snowflake or Databricks,

  • DBT and/or Airflow

  • Experience with CI/CD, data lineage, and monitoring tools.

  • Financial services ( Wealth Mgmt. / Asset Mgmt./ Capital Markets) is Nice to have.

    Screening Questions ( If you are comfortable with answering below questions at ease, apply) :

    1-How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?

    2- Can you describe your experience designing, building, and maintaining ETL/ELT pipelines? Which tools and technologies did you use?

    3-Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?

    4-What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?

    5-How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?

    6-Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?

    7- Have you worked with CI/CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts?


    8-Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved?

Send your resume and reply to above screening questions to : sasha@talenttohire.com

For more positions , visit: https://www.linkedin.com/company/talenttohire/jobs