At Pelmorex, we’re on a mission to transform weather and environmental data into decision-grade insights for businesses and consumers. Our B2B products help organizations make smarter, safer, and more profitable decisions.
To support this mission, we’re growing our Engineering Insights team and investing in a scalable data analytics and insights platform. We’re looking for a Senior Data Engineer who doesn’t just move data, but understands how data quality, latency, and design decisions directly impact products, customers, and business outcomes.
The Opportunity
You 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.
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: You will 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
Education
Bachelor’s or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.Experience & Ownership
5+ years of professional experience in Data Engineering with demonstrated ownership of production data systems at scale.Data Mastery
Deep understanding of ETL/ELT patterns, data modeling, partitioning strategies, idempotent pipeline design, and cost-aware storage design and compute optimization.Cloud Expertise
Proven ability to deploy and manage production data workloads in the cloud (GCP preferred).Coding Fundamentals
Advanced proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing.Engineering Rigor
Strong 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)
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 📝 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 🗣 We have an anonymous reporting platform to ensure everyone’s voice is heard
