Senior Data Engineer

Energy Managements 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 Managements Technology group is more than just a job; its 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 aDNV 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 Youll 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.

• 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 $145000 - $155000.

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 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 (). Information received relating to accommodation will be addressed confidentially.

For more information:

is Required

• Bachelors 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**