Senior Software Engineer, Data Systems (Python) in Canada Creek, Nova Scotia at Jobgether
NewJob Function: Information Technology
Jobgether
Canada Creek, Nova Scotia, B0P 1V0, Canada
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Job Description
Senior Software Engineer, Data Systems (Python)
Accountabilities:
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Data Systems (Python) based in Canada.
This role sits at the core of a data-driven platform powering advanced marketing intelligence for leading eCommerce brands.
You will design and build scalable data systems that unify massive volumes of information from diverse external sources into a single, reliable ecosystem.
The work spans high-scale data pipelines, APIs, and integration frameworks that enable real-time and batch data processing across multiple platforms.
You will collaborate closely with product, engineering, and data teams to translate business needs into robust, production-grade data solutions.
The environment is fast-moving and highly collaborative, where ownership and technical depth directly shape product capabilities.
You will tackle complex challenges in data reliability, observability, and system design at scale.
This is a high-impact role where your work directly influences how customers understand and optimize their marketing performance.
- Design, build, and maintain scalable data pipelines to ingest, transform, and normalize large-scale data from multiple external and internal sources.
- Develop and maintain robust APIs enabling secure, tenant-aware integrations with third-party platforms and internal systems.
- Implement and optimize both batch and event-driven data processing architectures to ensure accuracy, freshness, and reliability.
- Build resilient ETL workflows handling diverse data sources such as ad platforms, ecommerce systems, and real-time event streams.
- Design authentication and integration flows supporting APIs, webhooks, OAuth, and other secure data exchange mechanisms.
- Implement observability, monitoring, and alerting systems to track data quality, pipeline health, and system performance.
- Optimize data infrastructure for scalability, performance, and cost efficiency in a cloud-native environment.
- Collaborate with cross-functional teams to evolve and expand a flexible, multi-tenant data integration platform.
- Ensure data integrity, governance, and maintainability across complex distributed systems.
- 5+ years of experience in software engineering, data engineering, or integration engineering roles.
- Strong proficiency in Python for building data-intensive systems and backend services.
- Deep experience with ETL pipelines, API-based integrations, and data orchestration workflows.
- Strong SQL skills and familiarity with analytical data warehouses such as BigQuery or similar platforms.
- Hands-on experience working with REST APIs, GraphQL, and webhook-based architectures.
- Experience implementing authentication flows such as OAuth 2.0 and API key-based systems.
- Familiarity with orchestration tools such as Airflow or similar workflow management systems.
- Experience with containerization technologies such as Docker, and exposure to Kubernetes is a plus.
- Strong system design skills with the ability to balance speed of delivery and long-term scalability.
- Excellent communication and collaboration skills in cross-functional engineering environments.
- Experience working in fast-paced, high-growth, or SaaS environments.
- Bonus: experience with multi-tenant architectures, enterprise systems (ERP/CRM/CDP), or real-time event-driven systems.
- Competitive base salary: $170,000 – $200,000 USD, depending on experience and location
- Equity package with long-term upside participation
- Comprehensive healthcare coverage including medical, dental, and vision
- 401(k) retirement plan support
- Flexible PTO policy and 12 company-paid holidays annually
- 12 weeks of paid parental leave
- Remote-friendly work environment across Canada and the US
- $500 home office stipend to support remote setup
- Opportunity to work on large-scale, high-impact data systems used by leading global brands
- Strong focus on learning, engineering excellence, and professional growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location
Canada Creek, Nova Scotia, B0P 1V0, Canada
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