Software Developer – ETL – Senior
- Pay Rate: Flexible- Hybrid
- Location: Toronto, Ontario
- Contract Length: 6 Months
We at Raise are hiring right now for one of our Clients. If you’re interested, apply below for your chance to join a great place to work.
Responsibilities:
- Design, develop, test, and maintain ETL/ELT pipelines and data integration solutions across enterprise data sources.
- Build reusable data pipelines, services, and integration components that can support multiple AI and analytics use cases.
- Ingest, transform, and prepare structured and unstructured data for analytics, AI, and machine learning workloads.
- Implement data architecture, modelling, and integration patterns established by enterprise architecture.
- Integrate data across cloud platforms, databases, applications, APIs, and enterprise systems.
- Design solutions that support scalability, reliability, performance, monitoring, and maintainability.
- Implement data quality and validation controls to improve the reliability of data provided to downstream consumers.
- Work with Data Architects, AI/ML Engineers, Data Scientists, product teams, and business stakeholders to translate data requirements into production-ready solutions.
- Optimize existing pipelines and integration processes to reduce duplication and accelerate onboarding of new data sources.
- Support deployment, troubleshooting, documentation, and ongoing improvement of enterprise data solutions.
Qualifications & Experience:
- Degree in Computer Science, Information Systems, Engineering, Data/Analytics, or a related discipline, or equivalent experience.
- Significant experience in data engineering, ETL/ELT development, software development, or enterprise data integration.
- Demonstrated experience designing and developing scalable data pipelines and integration solutions.
- Strong programming and SQL skills, with experience working with modern data engineering frameworks and cloud-based data platforms.
- Experience integrating data through databases, APIs, file-based sources, and enterprise applications.
- Knowledge of data modelling, data quality, metadata, lineage, security, and data governance concepts.
- Experience supporting data platforms used for AI, machine learning, advanced analytics, and business intelligence.
- Strong analytical, troubleshooting, communication, and collaboration skills.
Must Haves:
- Significant hands-on experience designing and developing scalable, production-grade data pipelines for AI/ML and Generative AI workloads, including data ingestion, transformation, feature engineering, training and inference datasets, RAG/grounding data, and AI/ML pipeline integration.
- Advanced hands-on expertise in Python, SQL, ETL/ELT, APIs, data integration and transformation, and cloud-based data platforms, applying strong software engineering practices to build reliable, scalable, maintainable, and production-ready data solutions.
- Strong working knowledge of the Azure data and AI ecosystem, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry, with an understanding of ML pipelines, feature engineering, model training/testing, inference, monitoring, and the data requirements needed to support reliable enterprise AI/ML solutions.
Looking for meaningful work? We can help!
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com