Staff Software Engineer, Data Systems – Python

Northbeam

. Own the architecture of the ingestion and integration platform, setting patterns for onboarding new data sources .

Posted 9/22/2026full-timeRemote • CanadaLead💰 $190,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in architecting large-scale ingestion and integration platforms, with a strong focus on event-driven and batch processing. Proficient in Python, SQL, and cloud data warehousing, while providing technical leadership and mentorship to elevate engineering practices.

Highest-signal resume keywords

Architecture Of Ingestion PlatformsPython ProficiencySQL And Cloud Data WarehousingAPI-Based ETL System DesignTechnical Leadership And Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLETLAPI DesignEvent-Driven ArchitectureData IntegrationData EngineeringOrchestration (Airflow)Containerization (Docker, Kubernetes)Data Governance

Soft Skills

Technical LeadershipMentorshipProblem SolvingCollaborationJudgment

Tools & Technologies

BigQueryAirflowDockerKubernetesRESTGraphQL

Industry Keywords

GDPRSOC2Multi-Tenant ArchitectureERP SystemsCRM SystemsCDPReal-Time Data Processing

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerERPETLGraphQLKubernetesPythonSQL

About the role

Key responsibilities & impact

Own the architecture of the ingestion and integration platform, setting patterns for onboarding new data sources
Define technical direction for event-driven and batch processing across the company
Make build/buy and migration decisions
Establish standards for observability, data freshness, and failure handling
Lead design across data engineering, infrastructure, and product teams
Provide design review, mentorship, and hands-on coding to elevate engineers
Identify unscoped platform problems, advocate for solutions, and drive them to completion
Work across integrations and transformations involving ad platforms, order management systems, and real-time event collection

Requirements

What you’ll need

8+ years of software or data engineering experience, including significant time owning the architecture of large-scale ingestion, ETL, or integration platforms
Deep proficiency in Python
Strong SQL and cloud data warehouse experience (BigQuery or equivalent)
Experience designing API-based ETL systems at scale, including REST, GraphQL, webhooks, authentication, and multi-tenancy concerns
Production depth with orchestration (Airflow or similar)
Production depth with containerized infrastructure (Docker, Kubernetes)
Demonstrated technical leadership, including setting direction, aligning engineers who do not report to you, and improving team development practices
Experience mentoring engineers and elevating engineering practice across a team or organization
Sound judgment about investing in platform durability versus shipping and moving on
Bonus: Detailed understanding of OAuth 2.0, API keys, secrets management, and secure multi-tenant architectures
Bonus: Experience with ERP systems, CRMs, CDPs, or complex enterprise data tools and APIs
Bonus: Exposure to event-driven architectures and real-time data processing tools
Bonus: Knowledge of data governance, GDPR, SOC2, and security best practices for sensitive data
Bonus: Experience in multi-tenant SaaS or large-scale data-intensive environments

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