Software Engineer, Data Systems – Python

Northbeam

. Build and maintain data pipelines that ingest and transform data from a variety of sources, with an eye toward reliability and maintainability .

Posted 9/22/2026full-timeRemote • CanadaMid-LevelSenior💰 $140,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, developing secure APIs, and working within event-driven and batch processing architectures. Proficient in Python, SQL, and cloud data warehousing, with a strong focus on data governance and compliance.

Highest-signal resume keywords

Data Pipeline DevelopmentAPI DevelopmentPython ProgrammingSQL ProficiencyCloud Data Warehouse Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETLREST APIsGraphQLSQLCloud Data WarehouseOrchestration FrameworksAuthentication FlowsEvent-Driven ArchitecturesData Governance

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

DockerKubernetesAirflowDagsterPrefectBigQuerySnowflakeRedshift

Industry Keywords

Multi-Tenant SaaSData-Intensive EnvironmentGDPRSOC 2

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudDockerERPETLGraphQLKubernetesPythonSQL

About the role

Key responsibilities & impact

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 supporting real-time and batch ingestion across authentication mechanisms such as OAuth and API keys
Add monitoring and alerting for data freshness issues, failures, and performance problems
Improve data flows and transformations, balancing cost, efficiency, and delivery speed in a cloud-native environment
Partner with data engineering, infrastructure, and product teams to improve the integration platform and onboard new sources
Work with product managers, product engineers, and business leaders to turn customer needs into reliable data pipelines and products

Requirements

What you’ll need

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
Experience implementing authentication flows (OAuth 2.0, API keys, secrets management) — bonus
Familiarity with Kubernetes or other production deployment tooling — bonus
Experience working with ERP systems, CRMs, CDPs, or other enterprise data tools and their APIs — bonus
Exposure to event-driven architectures and real-time data processing tools — bonus
Awareness of data governance and compliance considerations (GDPR, SOC 2) — bonus
Experience in a multi-tenant SaaS or data-intensive environment — bonus

Benefits

Comp & perks

Equity package
Comprehensive healthcare benefits (medical, dental, and vision)
401(k) plan
Flexible PTO policy
12 company-paid holidays
12 weeks of paid parental leave
$500 work-from-home stipend