Senior Data Engineer

As a Senior Data Engineer at DNV, you will design, develop, and maintain data services and APIs while building AI-ready data foundations that support scalable platform capabilities. The role spans Data & AI Engineering and focuses on hands-on engineering across backend systems, data modeling, and production-ready service delivery.

Location and employment details

• Location: San Diego, CA, United States (hybrid)
• Position type: Full Time
• Contract type: Permanent Employee
• Job ID: 7781

Compensation

• Salary: USD 130,000 - 155,000 per yearly

Core responsibilities

• Design, develop, test, and maintain APIs and platform capabilities that support Product and Engineering objectives.
• Provide hands-on expertise across solution design, implementation, code review, testing, documentation, and production support.
• Convert business requirements and domain expertise into scalable, maintainable, and production-ready software solutions.
• Adhere to engineering standards for API design, data modeling, testing, observability, documentation, and maintainability.
• Create reusable services and components to support consistent implementation across platform capabilities.
• Work with cross-functional teams to deliver secure, high-quality, and reliable software solutions.
• Support applications, workflows, analytics, reporting, and AI-enabled capabilities through software solutions.
• Build Python-based services and FastAPI endpoints to expose platform capabilities and domain functionality.
• Develop robust SQL solutions for storing, querying, transforming, validating, and serving business data.
• Collaborate with Application Engineering teams on API contracts, integration patterns, performance considerations, and system interoperability.
• Implement secure, scalable, and maintainable APIs for internal and customer-facing applications.
• Contribute to integration solutions that connect applications, data services, AI-enabled capabilities, and enterprise platforms.
• Support adoption of reusable platform services, shared capabilities, and standardized integration patterns.
• Prepare, structure, validate, store, retrieve, and govern data used for AI-enabled workflows, analytics, search, and customer-facing applications.
• Contribute to data preparation approaches including metadata enrichment, retrieval optimization, evaluation datasets, and quality feedback mechanisms.
• Partner with AI Engineering teams 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 suitable for downstream consumption.
• Support deterministic business logic through APIs, reference data, calculations, and reusable services where appropriate.
• Deliver observable, scalable, secure, performant, and production-ready software.
• Contribute to CI/CD pipelines, automated testing, deployment automation, monitoring, logging, and operational support.
• Follow secure software development practices aligned with organizational security requirements and industry standards.
• Implement controls for data protection, access management, auditability, validation, and operational resilience.
• Collaborate with Platform Reliability and Security teams to ensure services and data assets are governed, documented, and maintainable.
• Support troubleshooting, performance tuning, root cause analysis, and production issue resolution.
• Use AI-assisted development tools to improve coding, testing, documentation, troubleshooting, and engineering productivity.
• Apply modern software development practices balancing speed, quality, maintainability, and security.
• Contribute to responsible use of AI-assisted engineering workflows and tools.
• Support continuous improvement initiatives to enhance developer productivity, software quality, and delivery efficiency.
• Share engineering knowledge through collaboration and code reviews.
• Coordinate with Product, AI Engineering, Application Engineering, Solution Engineering, Architecture, Reliability, and Security teams to deliver integrated platform capabilities.
• Participate in agile activities including sprint planning, backlog refinement, estimation, reviews, and retrospectives.
• Communicate technical concepts, implementation approaches, and trade-offs to technical and non-technical stakeholders.
• Contribute to technical documentation and implementation guidance across engineering teams.
• Support a culture of continuous learning, collaboration, and engineering excellence.

Required qualifications

• 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 within 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 experience.
• 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.

Technologies

• Python
• SQL
• FastAPI
• Azure DevOps
• Jira
• Azure
• AWS
• CI/CD

Preferred background

• Background in energy, renewables, infrastructure, assurance, certification, or other technically complex industries.
• Experience working in product-led, platform-based, or software-as-a-service environments.
• Experience deploying agents in a secure and efficient way.
• Experience developing backend services, platform APIs, or shared engineering capabilities.
• Familiarity with low-code or hybrid development environments.
• Experience integrating software solutions 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.

Benefits

• Generous paid time off (vacation, sick days, company holidays, personal days)
• Multiple Medical and Dental benefit plans; Vision benefits
• Spending accounts including FSA, Dependent Care, Commuter Benefits, and company-seeded HSA
• Employer-paid, therapist-led, virtual care services through Talkspace
• 401(k) with company match
• Company provided life insurance, short-term, and long-term disability benefits
• Education reimbursement program
• Flexible work schedule with hybrid opportunities
• Charitable Matched Giving and Volunteer Rewards through the Impact Program
• Volunteer time off (VTO) paid by the company
• Career advancement opportunities
• Profit share (global profit share scheme)
• Virtual TalkSpace Therapy
• ID theft protection
• Generous PTO accrual including paid volunteer time off
• Company paid holidays
• Discounted pet insurance
• Dollars for Doers
• Additional vacation hours purchase plan
• Commuter benefits
• Employee Assistance Program (EAP)
• Tuition reimbursement

Benefits vary based on location, business area, and employment terms. Please confirm with your recruiter.

About the business

Business: Energy Systems

Diversity, equity, and inclusion

DNV is committed to Diversity, Equity, and Inclusion as both an ethical choice and a business decision. Diversity, fairness, and a sense of belonging strengthen employees, business outcomes, and customer delivery of its purpose, vision, and values.

Working here

Since 1864, DNV has been dedicated to safeguarding life, property, and the environment. At DNV, you can expect to deliver career and industry defining work.