{"id":3782469,"url":"https://alion.io/job/altis-recruitment-software-developer-etl","title":"Software Developer - ETL","company":{"id":4461194,"name":"Altis Recruitment","domain":"altis.com","url":"https://alion.io/company/altis-recruitment","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest-Assured","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-04T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-04T00:00:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Senior Software Developer, ETL & AI Data Engineering\n\nLocation: Toronto, ON (Hybrid, 3 days onsite per week, near Union Station)\nLanguage: Written and spoken language requirements to be confirmed\nDuration: 6-month contract, until May 31, 2027\n\nAbout the Opportunity\nAre you passionate about building scalable data solutions that power AI and innovation? We're looking for a Senior Software Developer, ETL to design and deliver production-ready data pipelines that support enterprise AI, machine learning, Generative AI, and advanced analytics initiatives.\n\nIn this role, you'll collaborate with Data Architects, AI/ML Engineers, Data Scientists, and business stakeholders to improve access to trusted data, streamline integrations, and accelerate the delivery of innovative data-driven solutions.\n\nWhat's In It for You\n• Work on meaningful enterprise AI and Generative AI initiatives using modern cloud technologies.\n• Collaborate with multidisciplinary teams that value innovation, knowledge sharing, and continuous improvement.\n• Enjoy a hybrid work environment with opportunities to strengthen your expertise in enterprise data engineering and AI.\n\nYour Responsibilities\n• You'll design, develop, test, and maintain scalable ETL/ELT pipelines supporting enterprise analytics, AI, and machine learning workloads.\n• You'll build reusable data services and integrations across cloud platforms, databases, APIs, applications, and enterprise systems.\n• You'll prepare structured and unstructured data for feature engineering, model training, inference, and retrieval-augmented generation (RAG).\n• You'll implement established data architecture, modelling, and integration patterns while maintaining data quality, validation, and governance standards.\n• You'll optimize pipeline performance, reliability, monitoring, and scalability while reducing duplication and accelerating data onboarding.\n• You'll collaborate with technical and business teams to translate requirements into production-ready solutions and support deployment, troubleshooting, and documentation.\n\nSkills and Qualifications\n• Significant hands-on experience in data engineering, ETL/ELT development, software development, or enterprise data integration.\n• Advanced Python, SQL, ETL/ELT, API integration, and data transformation skills, supported by strong software engineering practices.\n• Proven experience building production-grade AI/ML data pipelines, including ingestion, feature engineering, training and inference datasets, and RAG/grounding data.\n• Strong knowledge of Azure data platforms, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry, including ML pipelines, model training, testing, inference, and monitoring.\n• Experience with cloud-based data platforms, databases, enterprise applications, file-based integrations, and modern data engineering frameworks.\n• Understanding of data modelling, metadata, lineage, security, data quality, and governance, with strong analytical, troubleshooting, and collaboration skills.\n• Degree in Computer Science, Engineering, Information Systems, Data/Analytics, or a related field, or equivalent experience.\n\nWhy Partner with Altis\nIf you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.\n\nWe’re an equal opportunities employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. 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