{"id":2571863,"url":"https://alion.io/job/dnv-senior-data-engineer","title":"Senior Data Engineer","company":{"id":1755554,"name":"DNV","domain":"dnv.com","url":"https://alion.io/company/dnv-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":28,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"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":{"min":130000,"max":155000,"currency":"CAD","period":"year","gross":null,"usd_annual":108546},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"FastAPI","optional":false},{"name":"Jira","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T19:54:10Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T22:25:32Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The Senior Data Engineer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform capabilities across Digital & Transformation.\nWorking within the Data & AI Engineering section, this role contributes hands-on engineering expertise across Python, SQL, FastAPI, data modeling, API development, and cloud-native platform technologies. The role supports both deterministic domain workflows through robust backend services and AI-enabled capabilities through clean, structured, searchable, and governed data foundations.\nWorking closely with Product, AI Engineering, Application Engineering, Solution Engineering, Platform Reliability, Architecture, and Security teams, this role translates complex business and domain requirements into reliable, performant, secure, and maintainable software solutions.\nThe ideal candidate combines strong software engineering fundamentals with practical experience delivering APIs, backend platforms, data services, and cloud-based solutions within agile product development environments.\nThis position will be in our Toronto, Canada office, presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either a DNV office or client location/site. Further details regarding role-specific requirements will be shared during the interview process. Other DNV offices may also be considered.\nWhat You'll Do\nSoftware Engineering & Solution Delivery\nDesign, develop, test, and maintain APIs, and platform capabilities that support Product and Engineering objectives.\nContribute hands-on engineering expertise across solution design, implementation, code review, testing, documentation, and production support.\nTranslate business requirements and domain expertise into scalable, maintainable, and production-ready software solutions.\nFollow and contribute to engineering standards for API design, data modeling, testing, observability, documentation, and maintainability.\nDevelop reusable services and components that enable consistent implementation across platform capabilities.\nCollaborate with cross-functional teams to deliver secure, high-quality, and reliable software solutions.\nSupport software solutions that enable applications, workflows, analytics, reporting, and AI-enabled capabilities.\nAPI Development & Platform Integration\nDesign and build Python-based services and FastAPI endpoints that expose platform capabilities and domain-specific functionality.\nDevelop reliable SQL solutions for storing, querying, transforming, validating, and serving business data.\nCollaborate with Application Engineering teams on API contracts, integration patterns, performance considerations, and system interoperability.\nImplement secure, scalable, and maintainable APIs that support internal and customer-facing applications.\nContribute to integration solutions connecting applications, data services, AI-enabled capabilities, and enterprise platforms.\nSupport adoption of reusable platform services, shared capabilities, and standardized integration patterns.\nAI-Ready Data Foundations\nPrepare, structure, validate, store, retrieve, and govern data used by AI-enabled workflows, analytics solutions, search capabilities, and customer-facing applications. \nContribute to data preparation approaches including metadata enrichment, retrieval optimization, evaluation datasets, and quality feedback mechanisms. \nPartner with AI Engineering teams on retrieval-augmented workflows, document processing pipelines, evaluation activities, and AI solution development. \nDevelop and maintain AI-ready data assets that are secure, traceable, maintainable, and suitable for downstream consumption. \nSupport the implementation of deterministic business logic through APIs, reference data, calculations, and reusable services where traditional software approaches are most appropriate.\nDevOps, Reliability & Security\nDevelop software solutions that are observable, scalable, secure, performant, and production-ready. \nContribute to CI/CD pipelines, automated testing, deployment automation, monitoring, logging, and operational support activities. \nFollow secure software development practices aligned with organizational security requirements and industry standards. \nImplement appropriate controls for data protection, access management, auditability, validation, and operational resilience. \nCollaborate with Platform Reliability and Security teams to ensure services and data assets are governed, documented, and maintainable. \nSupport troubleshooting, performance tuning, root cause analysis, and production issue resolution.\nModern Development & AI-Enabled Engineering\nLeverage AI-assisted development tools to improve coding, testing, documentation, troubleshooting, and engineering productivity. \nApply modern software development practices that balance speed, quality, maintainability, and security. \nContribute to the effective and responsible use of AI-assisted engineering workflows and tools. \nSupport continuous improvement initiatives that enhance developer productivity, software quality, and delivery efficiency. \nShare engineering knowledge, reusable patterns, and best practices through collaboration and code reviews.\nCollaboration & Knowledge Sharing\nCollaborate with Product, AI Engineering, Application Engineering, Solution Engineering, Architecture, Reliability, and Security teams to deliver integrated platform capabilities.\nParticipate in agile development activities including sprint planning, backlog refinement, estimation, reviews, and retrospectives.\nCommunicate technical concepts, implementation approaches, and trade-offs clearly to both technical and non-technical stakeholders.\nContribute to technical documentation, implementation guidance, and knowledge sharing across engineering teams.\nSupport a culture of continuous learning, collaboration, and engineering excellence.\n Generous paid time off (vacation, sick days, company holidays, personal days)\nMedical, Dental and Vision benefit plans available to all employees\nSpecial programs - Employee Assistance Program and accident and critical illness options for you and your family\nWorkplace strategies for mental help resources available to all employees\nRegistered Retirement Savings Plan (RRSP) with company match\nCompany provided life insurance, short-term, and long-term disability benefits\nEducation Assistance program\nFlexible work schedule with hybrid opportunities\nConsumer discounts and rewards through our BenefitsHub\nAdvancement opportunities\n**Benefits vary based on position, tenure, location, and employee election**\nFor British Columbia (Vancouver) and Ontario (Toronto): \"DNV provides a reasonable compensation range for this role. The actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. For the cities of Vancouver and Toronto, the range of starting pay for this role is $130,000 - $155,000.”\nDNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.\n What is Required\nBachelor's or master’s degree in computer science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent practical experience. \n5+ years of experience developing production software applications, APIs, backend services, platform capabilities, or data-driven solutions. \nStrong hands-on experience with Python, SQL, and API development frameworks such as FastAPI. \nExperience designing and implementing scalable, maintainable, and secure software systems. \nExperience working within Agile, Scrum, DevOps, or similar software delivery environments. \nExperience using Azure DevOps, Jira, or comparable development and delivery tools. \nStrong understanding of software architecture, API design, data modeling, automated testing, observability, performance optimization, and production support. \nExperience building services or APIs that support application workflows, analytics solutions, AI-enabled capabilities, or enterprise platforms. \nExperience with CI/CD, source control, code review, monitoring, logging, and secure development practices. \nExperience working with Azure, AWS, or comparable cloud platforms, with preference for Azure experience. \nAbility to translate complex business and domain requirements into practical software solutions.\nStrong collaboration, problem-solving, communication, and organizational skills.\nAbility to work effectively in globally distributed and multidisciplinary teams.\nStrong written and verbal English communication skills \nWe conduct pre-employment background screening\nWhat is Preferred\nBackground in energy, renewables, infrastructure, assurance, certification, or other technically complex industries is a huge plus.\nExperience working in product-led, platform-based, or software-as-a-service environments. \nExperience deploying agents in a secure and efficient way\nExperience developing backend services, platform APIs, or shared engineering capabilities. \nFamiliarity with low-code or hybrid development environments. \nExperience integrating software solutions across multiple systems or enterprise platforms. \nExperience supporting AI-enabled applications, retrieval-based systems, document processing workflows, or machine-learning-adjacent solutions. \nFamiliarity with vector databases, data governance, observability, lineage, or AI data preparation workflows. \nExperience with Azure cloud services, Azure DevOps, cloud security patterns, identity management, and enterprise platform security. \nExperience contributing to reusable software standards, API guidelines, architectural patterns, or shared engineering practices.\n**Immigration-related employment benefits, for example visa sponsorship, are not available for this 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