Senior Data Engineer

What you’ll do

• Design, develop, test, and maintain APIs and platform capabilities aligned with Product and Engineering objectives.
• Apply hands-on engineering expertise across solution design, implementation, code review, testing, documentation, and production support.
• Translate business requirements and domain knowledge into scalable, maintainable, production-ready software solutions.
• Develop reusable services and components to enable consistent implementation across platform capabilities.
• Build Python-based services and FastAPI endpoints exposing platform capabilities and domain-specific functionality.
• Develop reliable 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, maintainable APIs for internal and customer-facing applications.
• Support integration solutions connecting applications, data services, AI-enabled capabilities, and enterprise platforms.
• Structure, validate, store, retrieve, and govern data used by AI-enabled workflows, analytics solutions, search capabilities, and customer-facing applications.
• Partner with AI Engineering teams on retrieval-augmented workflows, document processing pipelines, evaluation activities, and AI solution development.
• Contribute to AI-ready data assets that are secure, traceable, maintainable, and suitable for downstream consumption.
• Implement deterministic business logic via APIs, reference data, calculations, and reusable services where traditional software approaches fit best.
• Develop software that is observable, scalable, secure, performant, and production-ready, including CI/CD, automated testing, deployment automation, monitoring, logging, and operational support.
• Follow secure software development practices and apply controls for data protection, access management, auditability, validation, and operational resilience.
• Support troubleshooting, performance tuning, root cause analysis, and production issue resolution; leverage AI-assisted development tools to improve engineering productivity.
• Participate in agile development activities including sprint planning, backlog refinement, estimation, reviews, and retrospectives.

What you bring

• Bachelor’s or master’s degree in computer science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent practical experience.
• 5+ years 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, secure systems.
• Experience working in Agile, Scrum, DevOps, or similar delivery environments.
• Experience with Azure DevOps, Jira, or comparable tools.
• Strong understanding of software architecture, API design, data modeling, automated testing, observability, performance optimization, and production support.
• Experience building services or APIs supporting application workflows, analytics solutions, AI-enabled capabilities, or enterprise platforms.
• Experience with CI/CD, source control, code review, monitoring, logging, and secure development practices.
• Cloud experience with Azure, AWS, or comparable 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, including written and verbal English communication.
• Ability to work effectively in globally distributed and multidisciplinary teams.
• Pre-employment drug and background screening is conducted.

Technologies you’ll work with

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

Benefits

• Generous paid time off including vacation, sick days, company holidays, and personal days
• Multiple Medical and Dental plan options, plus Vision benefits
• Spending accounts: FSA, Dependent Care, Commuter Benefits, and a 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, plus tuition reimbursement
• Flexible work schedule with hybrid opportunities
• Charitable Matched Giving and Volunteer Rewards through the Impact Program, including volunteer time off (VTO) paid by the company
• Career advancement opportunities, profit share (global profit share scheme)
• ID theft protection and an Employee Assistance Program (EAP)
• Discounted pet insurance and “Dollars for Doers”
• Commuter benefits, employee assistance support, and an additional vacation hours purchase plan

Preferred background

• 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 securely and efficiently
• Familiarity with low-code or hybrid development environments
• Experience integrating 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

Diversity, Equity & Inclusion: DNV emphasizes Diversity, Equity, and Inclusion as both an ethical commitment and a business decision, supporting a sense of belonging and strengthening outcomes for people, business, and customers.