Senior Data Engineer
Job Description
DNV supports engineers with career-defining work and a hybrid setup in San Diego, CA. You will build data services, APIs, backend systems, and AI-ready data foundations that help scale platform capabilities across Data & AI Engineering.
Benefits and flexibility include generous paid time off, multiple medical and dental plan options with vision coverage, spending accounts (FSA, Dependent Care, Commuter Benefits, and a company-seeded HSA), and virtual therapist-led care through Talkspace. You will also have a 401(k) with company match, employer-paid life insurance, and short-term and long-term disability benefits, plus education reimbursement and career advancement opportunities.
Additional support for wellbeing and community includes an Employee Assistance Program (EAP), charitable matched giving and volunteer rewards through DNV’s Impact Program, and volunteer time off (VTO) paid by the company. Your schedule offers a flexible work option with hybrid opportunities.
Responsibilities
- Design, develop, test, and maintain APIs and platform capabilities that support Product and Engineering objectives.
- Apply hands-on engineering across solution design, implementation, code review, testing, documentation, and production support.
- Translate business requirements and domain knowledge into scalable, maintainable, production-ready software.
- Follow and help evolve engineering standards for API design, data modeling, testing, observability, documentation, and maintainability.
- Develop reusable services and components to enable consistent platform capability delivery.
- Collaborate with cross-functional teams to deliver secure, high-quality, and reliable software solutions.
- Support solutions enabling applications, workflows, analytics, reporting, and AI-enabled capabilities.
- Build Python-based services and FastAPI endpoints that expose platform capabilities and domain-specific functionality.
- Create reliable SQL solutions for storing, querying, transforming, validating, and serving business data.
- Work with Application Engineering teams on API contracts, integration patterns, performance considerations, and interoperability.
- Implement secure, scalable, and maintainable APIs for internal and customer-facing applications.
- Contribute to integration solutions connecting applications, data services, AI-enabled capabilities, and enterprise platforms.
- Structure and govern data used by AI-enabled workflows, analytics solutions, search capabilities, and customer-facing applications.
- Contribute to data preparation approaches including metadata enrichment, retrieval optimization, evaluation datasets, and quality feedback mechanisms.
- Partner with AI Engineering on retrieval-augmented workflows, document processing pipelines, evaluation activities, and AI solution development.
- Develop and maintain AI-ready data assets that are secure, traceable, maintainable, and ready for downstream consumption.
- Implement deterministic business logic through APIs, reference data, calculations, and reusable services when appropriate.
- Deliver observable, scalable, secure, performant, production-ready software solutions, including CI/CD, automated testing, deployment automation, and operational support.
- Support secure software development practices aligned with organizational security requirements and industry standards, including controls for data protection, access management, auditability, validation, and operational resilience.
- Collaborate with Platform Reliability and Security teams to keep services and data assets governed, documented, and maintainable.
- Participate in troubleshooting, performance tuning, root cause analysis, and production issue resolution.
- Leverage AI-assisted development tools to improve coding, testing, documentation, troubleshooting, and engineering productivity.
- Share knowledge through collaboration, code reviews, and reusable patterns.
- Participate in agile activities including sprint planning, backlog refinement, estimation, reviews, and retrospectives, and communicate trade-offs to technical and non-technical stakeholders.
Requirements
- Bachelor’s or master’s degree in computer science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience developing production software applications, APIs, backend services, platform capabilities, or data-driven solutions.
- Strong hands-on experience with Python, SQL, and API development frameworks such as FastAPI.
- Experience designing and implementing scalable, maintainable, and secure software systems.
- Experience working in Agile, Scrum, DevOps, or similar software delivery environments.
- Experience using Azure DevOps, Jira, or comparable development and delivery tools.
- Strong understanding of software architecture, API design, data modeling, automated testing, observability, performance optimization, and production support.
- Experience building services or APIs that support application workflows, analytics solutions, AI-enabled capabilities, or enterprise platforms.
- Experience with CI/CD, source control, code review, monitoring, logging, and secure development practices.
- Experience working with Azure, AWS, or comparable cloud platforms, with preference for Azure.
- Ability to translate complex business and domain requirements into practical software solutions.
- Strong collaboration, problem-solving, communication, and organizational skills.
- Ability to work effectively in globally distributed and multidisciplinary teams.
- Strong written and verbal English communication skills.
- Pre-employment drug and background screening.
Preferred
- Background in energy, renewables, infrastructure, assurance, certification, or other technically complex industries.
- Experience in product-led, platform-based, or software-as-a-service environments.
- Experience deploying agents in a secure and efficient way.
- Experience with backend services, platform APIs, or shared engineering capabilities.
- Familiarity with low-code or hybrid development environments.
- Experience integrating across multiple systems or enterprise platforms.
- Experience supporting AI-enabled applications, retrieval-based systems, document processing workflows, or machine-learning-adjacent solutions.
- Familiarity with vector databases, data governance, observability, lineage, or AI data preparation workflows.
- Experience with Azure cloud services, Azure DevOps, cloud security patterns, identity management, and enterprise platform security.
- Experience contributing to reusable software standards, API guidelines, architectural patterns, or shared engineering practices.
Location, Type, and Details
- Location: San Diego, CA, United States (hybrid)
- Position Type: Full Time
- Contract Type: Permanent Employee
- Compensation: USD 130,000 - 155,000 per year
- Job ID: 7781
- Business: Energy Systems
- Technologies: Python, SQL, FastAPI, Azure DevOps, Jira, Azure, AWS, CI/CD
Energy Systems work at DNV builds on a mission rooted in safeguarding life, property, and the environment since 1864. The company emphasizes delivering career and industry-defining work, supported by an inclusive culture driven by Diversity, Equity, and Inclusion.
Benefits note: Benefits vary by location, business area, and employment terms. Please confirm with your recruiter.
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