Remote Data Systems Engineer (Python) — Build scalable data pipelines

Northbeam; Canada; Hybrid; CAD 195,000 - 216,000; Full time

Benefits offered by this job

Equity package

Healthcare benefits

401(k) plan

Flexible PTO

Paid holidays

Parental leave

Remote setup stipend

Job summary

Northbeam is hiring a Software Engineer, Data Systems (Python) to build reliable data pipelines that ingest and transform data from multiple sources. You will develop secure APIs for tenant‑aware integrations and work in event‑driven and batch architectures to keep data fresh.

You will collaborate with data engineering and product teams, gain ownership over data platforms, and contribute to API design. This role is remote in Canada, with a strong emphasis on shipping high‑quality data products.

Qualifications

• 3+ years of experience in data engineering, software engineering, or integration engineering, with exposure to ETL, APIs, or data pipeline work.
• Solid working proficiency in Python.
• Experience building against REST APIs; familiarity with GraphQL or webhooks is a plus.
• Comfort with SQL and some exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar).
• Some exposure to orchestration frameworks such as Airflow, Dagster, or Prefect.
• Willingness to work in a containerized environment (Docker).
• A track record of shipping steadily and asking good questions when the path isn't obvious.

Responsibilities

• Build and maintain data pipelines that ingest and transform data from a variety of sources, with an eye toward reliability and maintainability.
• Develop and support APIs that enable secure, tenant‑aware data integrations with external systems.
• Work within event‑driven and batch processing architectures to keep data fresh and consistent.
• Contribute to API design and integration patterns that support both real‑time and batch ingestion across different authentication mechanisms (OAuth, API keys, etc.).
• Add monitoring and alerting that surfaces data freshness issues, failures, and performance problems before customers notice them.
• Improve existing data flows and transformations, weighing cost, efficiency, and speed of delivery in a cloud‑native environment.
• Partner with data engineering, infrastructure, and product teams to make our integration platform easier to extend and onboard new sources into.

Skills

Python

ETL

APIs

Data pipelines

REST APIs

GraphQL

SQL

BigQuery

Snowflake

Redshift

Airflow

Dagster

Prefect

Docker

Kubernetes

Tools

Airflow

Dagster

Prefect

Docker

Kubernetes

Job description

Northbeam is hiring a Software Engineer, Data Systems (Python) to build reliable data pipelines that ingest and transform data from multiple sources. You will develop secure APIs for tenant‑aware integrations and work in event‑driven and batch architectures to keep data fresh.

You will collaborate with data engineering and product teams, gain ownership over data platforms, and contribute to API design. This role is remote in Canada, with a strong emphasis on shipping high‑quality data products.