Sr Data Engineer
Insight Global
Insight Global is hiring a Sr. Data Engineer in Calgary, AB. This role is hybrid - in-office with 20% flexibility to work from home.
This resource will play a key role in architecting and optimizing a modern, scalable, and productized data ecosystem that enables internal teams and external partners to derive maximum value from our data assets. Responsible for designing high-performance data pipelines, storage solutions, and API-driven data access mechanisms that support real-time decision-making and innovation.
The ideal candidate has 5+ years of experience in data engineering, with modern data storage and processing, proficiency in ETL frameworks and event-driven architectures. They will also have strong API development skills and proficiency in Go, Java and/or Python.
Duties & Responsibilities:
- Design and build a scalable, cloud-native data platform aligned with microservices
- Develop real-time and batch data pipelines to power data-driven products
- Implement SQL, NoSQL, and hybrid storage strategies
Data as a Product
- Enable self-serve data access with secure, well-documented data APIs.
- Collaborate with Product & Business teams to define and optimize data products.
- Ensure data quality, lineage, and governance in all data pipelines and products.
Microservices Integration & Performance
- Build event-driven architectures using Kafka, Azure Event Hub, or Service Bus.
- Develop scalable ETL/ELT processes for ingestion, transformation, and distribution.
- Optimize query performance, indexing, and caching for data-intensive apps.
Data Governance, Security, and Compliance
- Enforce data privacy, security, and access controls aligned with compliance standards.
- Implement observability and monitoring for data infrastructure and pipelines.
- Work with DevSecOps teams to integrate security into CI/CD workflows.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
This resource will play a key role in architecting and optimizing a modern, scalable, and productized data ecosystem that enables internal teams and external partners to derive maximum value from our data assets. Responsible for designing high-performance data pipelines, storage solutions, and API-driven data access mechanisms that support real-time decision-making and innovation.
The ideal candidate has 5+ years of experience in data engineering, with modern data storage and processing, proficiency in ETL frameworks and event-driven architectures. They will also have strong API development skills and proficiency in Go, Java and/or Python.
Duties & Responsibilities:
- Design and build a scalable, cloud-native data platform aligned with microservices
- Develop real-time and batch data pipelines to power data-driven products
- Implement SQL, NoSQL, and hybrid storage strategies
Data as a Product
- Enable self-serve data access with secure, well-documented data APIs.
- Collaborate with Product & Business teams to define and optimize data products.
- Ensure data quality, lineage, and governance in all data pipelines and products.
Microservices Integration & Performance
- Build event-driven architectures using Kafka, Azure Event Hub, or Service Bus.
- Develop scalable ETL/ELT processes for ingestion, transformation, and distribution.
- Optimize query performance, indexing, and caching for data-intensive apps.
Data Governance, Security, and Compliance
- Enforce data privacy, security, and access controls aligned with compliance standards.
- Implement observability and monitoring for data infrastructure and pipelines.
- Work with DevSecOps teams to integrate security into CI/CD workflows.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
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