Data Engineer

WHAT DOES THE DAY-TO-DAY LOOK LIKE

Build the Backbone: You will develop and maintain ETL/ELT pipelines using modern distributed compute frameworks such as Apache Beam and Snowpark.

Orchestrate Complex Workflows: You will build, monitor, and optimize data workflows using tools like Apache Airflow, Google Workflows, and Snowflake Tasks.

Manage Cloud Data Platforms: You will implement and optimize data models and storage across BigQuery, Snowflake, PostgreSQL, and Google Cloud Storage to ensure scalable and efficient data solutions.

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.

Optimize Performance: You will help improve data system performance, reduce costs, and increase reliability.

Collaborate Across Teams: You will partner with Engineers, Product Managers, and Data Scientists to deliver high-quality data solutions that support business needs.

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
2-5 years of professional experience in Data Engineering with hands-on experience building and supporting production data systems at scale.

Data Fundamentals
Solid understanding of ETL/ELT patterns, data modeling, partitioning strategies and pipeline design.

Cloud Expertise
Experience deploying, managing, or supporting data workloads in the cloud (GCP preferred).

Coding Fundamentals
Strong 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)

 
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 📝 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