About us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About the role

Energy Management s Analytics & Data Science team works to accelerate the transition toward a carbon-free future through software and analytics. We are looking for a Senior Data Engineer with strong Microsoft Azure experience to help us accomplish this mission.
Working with the Analytics & Data Science team in DNV Energy Management s Technology group is more than just a job; it s an opportunity to be part of a collaborative community where you can learn, grow, and thrive. Join a dynamic and diverse technology team that values innovation, impact, and sustainability. Help us build scalable, cloud-native data solutions that support demand side management, demand flexibility, and transportation electrification programs.

This role is based at our DNV office in North Andover, MA, Chalfont, PA, New York, NY, Rochester, NY, Troy, NY presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either a DNV office. Further details regarding role-specific requirements will be shared during the interview process.

The position may also be considered at other DNV offices within the Eastern Time Zone.

What You ll Do

As a Senior Data Engineer, you will:

Develop & Optimize Data Pipelines: Build ETL/ELT pipelines using Azure Databricks (Spark), PostgreSQL, and Python to support large-scale data processing and analytics.
Architect & Automate Workflows: Implement orchestration and messaging using Azure Service Bus and Databricks Workflows for automated, scalable operations.
Enable ML & Advanced Analytics: Partner with ML engineers and software engineers to deliver clean, well-modeled data for feature engineering and operational ML pipelines.
Ensure Data Quality & Reliability: Apply validation frameworks, observability tools, and monitoring using Azure Monitor and related services.
Optimize for Performance & Scalability: Tune Spark jobs, queries, and pipelines for distributed computing efficiency.
Implement DevOps & CI/CD: Build and maintain Azure DevOps pipelines for testing, version control, and automated deployment of data solutions.
Foster Collaboration & Mentorship: Work with software developers, analytics engineers, and ML engineers to align data efforts with business goals, while mentoring junior engineers.

What we offer

Generous paid time off (vacation, sick days, company holidays, personal days)
Multiple Medical and Dental benefit plans to choose from, Vision benefits
Spending accounts FSA, Dependent Care, Commuter Benefits, 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 our Impact Program
Volunteer time off (VTO) paid by the company
Career advancement opportunities

**Benefits vary based on position, tenure, location, and employee election**

For California, Washington, New York, Washington, D.C., Illinois, and Maryland: DNV provides a reasonable range of compensation 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 states of California, Washington, New York, Washington, D.C., Illinois, and Maryland only, the starting pay range for this role is $145,000 - $155,000.

DNV 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. DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially.

For more information :

https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

About you

What is Required

Bachelor s degree in Computer Science or related discipline, or equivalent work experience in data engineering.
Minimum 5 years of professional data engineering experience, with at least 3 years on Azure-based solutions.
Proficiency in:
- Azure Databricks (Apache Spark)
- Azure DevOps (pipelines, repos, CI/CD)
- Azure Service Bus
- PostgreSQL
- Python and SQL (T-SQL, PostgreSQL dialects)
Demonstrated ability to manage multiple projects and context switch effectively.
Excellent written and verbal communication skills in English.
We conduct pre-employment drug and background screening.

What is Preferred

Prior experience in the energy industry.
Experience with time-series data modeling, storage, and processing at scale.
Familiarity with event-driven architectures and real-time/streaming data pipelines.
Experience operationalizing ML models and supporting MLOps practices in Azure.

**Immigration-related employment benefits, for example visa sponsorship, are not available for this position**

Requisition #cmgam5rdl000l02jlbddfhss1

DNV

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