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SalaryAbout 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
EVOLVE Intelligence accelerates the transition towards a carbon-free future through software and analytics.
We are looking for a Data Engineer/Sr. Data Engineerto help us accomplish this mission.
The Analytics & Data Science team in DNV – Energy Management’s Technology group is a remote-first team. We offer more than just a job; we provide a community where you can learn, grow, and thrive your way. Join a dynamic and diverse technology team that values relationships and the environment as much as results. Help us create software that empowers utility clean energy customers to combat climate change!
This is a remote position open to any location in the continental United States.
What You’ll Do:
As a Data Engineer/Sr. Data Engineer, you will design, develop, and maintain data architecture, pipelines, and systems that play a vital role in how our utility partners steward clean energy programs. Your impact will be immediate and will directly enable pathways to decarbonization through energy efficiency, demand response, storage, electric vehicles, and renewable energy technologies. You will solve a variety of problems that leverage your deep understanding of Data Engineering principles.
How You’ll Succeed:
- Collaborate with cross-functional teams, including machine learning engineers, software developers, analytics engineers, and product managers to translate business requirements into highly available data solutions
- Leverage your creative problem-solving skills to architect, develop, and maintain scalable and efficient data processing pipelines using PySpark and other distributed computing technologies
- Create and optimize data models that support reporting, analytics, artificial intelligence, and software
- Optimize data storage and retrieval by designing and implementing efficient storage systems that use technologies such as Timescale and Apache Spark
- Apply data validation, data profiling, and data cleansing to ensure data quality and integrity
- Write clean, efficient, maintainable code, and actively engage with team members in code reviews
- Create and maintain technical documentation covering data models, flows, views, dictionaries, and mapping schemes
- Serve as a mentor and resource to other members of the team
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
- Special programs – Employee Assistance Program, ID theft protection, and accident and critical illness options for you and your family
- Employer-paid, therapist-led, virtual care services through Talkspace
- Company provided life insurance, short-term, and long-term disability benefits
- Tuition assistance
- Flexible work schedule with hybrid/remote opportunities
- Advancement opportunities
**Benefits may vary based on position, tenure, location, and employee election
**Immigration-related employment benefits, for example visa sponsorship, are not available for this position**
How We Do It
We Care, We Dare, We Share
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 accommodations will be addressed confidentially.
For more information
https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal
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Diversity at DNV
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Please visit our website at www.dnv.com
As required by the Pay Transparency laws in Colorado, New York City, California, Washington, and Connecticut, DNV provides a reasonable compensation range for roles that may be hired in those locations. Actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific office location. For the states of Colorado, New York City, NY, California, Washington, and Connecticut only, the range of starting pay for this role is $105,000 - $150,000.
About you
What is Required
- An undergraduate or advanced degree in a quantitative field
- Proven professional experience as a Data Engineer
- Strong proficiency in SQL, Python, and Spark/PySpark
- Hands on experience with distributed computing frameworks such as Apache Spark
- Familiarity with working in Azure – experience with Data Factory is strongly desired
- Experience with version control systems (e.g., Git) and familiarity with agile development practices
- Excellent communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams
- Experience working on an agile product team is a bonus
- Someone who is eager to learn new things and is coachable
- Most importantly, this team member should display a positive, team-oriented attitude to match our friendly and enthusiastic work environment
- Willingness and the ability to undergo a background investigation and drug screening
- Excellent written and verbal English communication skills
- We conduct pre-employment drug and background screening
