Senior Data Engineer, Hybrid

Pelmorex

β€’ $100K β€” $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Computer Engineering, Software Engineering, Computer Science, or related field
  • 5+ years in Data Engineering with ownership of production data systems
  • Deep understanding of ETL/ELT patterns and cost-aware storage design
  • Proven experience with cloud production data workloads, preferably GCP
  • Advanced proficiency in Python and SQL for data processing
  • Commitment to automated pipeline testing and continuous integration

Responsibilities

  • Define blueprints for high-scale data systems focusing on quality and latency
  • Engineer robust ETL/ELT pipelines using modern distributed compute frameworks
  • Design, monitor, and optimize complex workflows using orchestration tools
  • Design high-performance cloud storage solutions optimizing cost and reliability
  • Implement data validation frameworks and monitor data integrity
  • Drive technical design discussions and mentor team members on best practices

Benefits

  • Course reimbursement for continuous learning
  • Open communication culture with All Hands Meetings
  • Access to Pelmorex Learning Academy
  • Mental health support through virtual counseling
  • Regular employee pulse surveys for feedback
  • Free online healthcare consultations
  • Anonymous reporting platform for voicing concerns
Full Job Description
The OpportunityYou will play a foundational role in architecting and building the data systems and analytics capabilities that power multiple B2B products. Your work will directly shape how data is ingested, validated, transformed, and consumed across our B2B product portfolio, ensuring it is reliable, scalable, and decision-ready for our customers. In this role, you'll collaborate closely with a small, entrepreneurial team of Engineers, Product Managers, and Data Scientists to turn raw data into real-world impact.

Please note, we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville or Montreal location.

WHAT DOES THE DAY-TO-DAY LOOK LIKE

  • Architect for Scale: You'll define the blueprints for high-scale data systems where quality and latency are the primary constraints.
  • Build the Backbone: You will engineer robust ETL/ELT pipelines leveraging modern distributed compute frameworks such as Apache Beam and Snowpark.
  • Orchestrate Complex Workflows: Youwill design, monitor, and optimize sophisticated workflows using tools like Apache Airflow, Google Workflows and Snowflake Tasks.
  • Optimize Global-Scale Storage: You will design and fine-tune high-performance cloud storage solutions across BigQuery, Snowflake, PostgreSQL and GCS, optimizing for cost, performance, and reliability.
  • Own Data Quality & Rigor: You will implement robust data validation frameworks, write unit/integration tests for data pipelines, establish CI/CD, and set up proactive monitoring for data integrity and system health.
  • Technical Leadership: You will drive technical design discussions, influence core data architecture choices, and mentor team members on data engineering best practices


WE ARE HOPING YOU HAVE

  • EducationBachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.
  • Experience & Ownership5+ years of professional experience in Data Engineering with demonstrated ownership of production data systems at scale.
  • Data MasteryDeep understanding of ETL/ELT patterns, data modeling, partitioning strategies, idempotent pipeline design, and cost-aware storage design and compute optimization.
  • Cloud ExpertiseProven ability to deploy and manage production data workloads in the cloud (GCP preferred).
  • Coding FundamentalsAdvanced proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing.
  • Engineering RigorStrong commitment to automated pipeline testing, continuous integration, comprehensive documentation, and proactive system observability.


NICE TO HAVE

  • Experience working with high-volume geospatial, weather, or time-series datasets.
  • Familiarity with containerized environments (Docker, Kubernetes) and managing data workloads on cloud compute (e.g., Cloud Run, GKE).
  • Exposure to infrastructure-as-code principles (e.g., Terraform)


DON'T MEET ALL THE REQUIREMENTS? DON'T WORRY...

Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having "desired" qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Pelmorex. We are always looking for people who will be a culture add (yup, that's right, we don't subscribe to culture fit, we want you to add to what we think is an amazing culture and work environment

INTERESTED? IT GETS BETTER....

  • Course Reimbursement Program We want you to keep learning, so we can too
  • Open and transparent communication, including All Hands Meetings with our CEO
  • Pelmorex Learning Academy 🏫
  • Your mental health is important to us! We partner with Inkblot for virtual counseling sessions
  • Frequent employee pulse surveys πŸ“ we value your feedback so we can continue to make Pelmorex a great place to work!
  • Free online doctor visits with Maple Online Healthcare
  • While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up πŸ—£ We have an anonymous reporting platform to ensure everyone's voice is heard


OUR PROMISE TO YOU...

We're highly focused on doing the right thing.

We'll discuss issues and timelines professionally, so you have the time you need to do the best work you can

You will see the result of your work pushed out to real users quickly

We're a team that enjoys learning new technologies and we're open to trying new things

We'll try our best not to bog you down with boring meetings

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