Data Engineer/Sr. Data Engineer (Remote) – EVOLVE Intelligence Location US-NY-New York | US-TX-Austin | US-NM-Albuquerque | US-VA-Arlington | US-PA-Chalfont | US-OH-Milford | US-OR-Corvallis | US-TX-Dallas | US-IA-Des Moines | US-MI-Detroit | US-TX-Katy | … Requisition ID 2023-22555 Business Area Energy Systems Category/Discipline Information Technology/Software Development Posting Position Type Permanent Employee Local Unit & Position Description EVOLVE Intelligence accelerates the transition towards a carbon-free future through software and analytics. We are looking for a Data Engineer/Sr. Data Engineer to 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 Position Qualifications 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 dru
Git PySpark Agile SQL Python Apache Spark Data Engineering Azure