Software Engineer Data

About The Company:

NineDot's name derives from the classic mathematical puzzle for sparking out-of-the-box solutions. As a leading community-scale, clean energy developer with a growing portfolio of projects across a range of technologies, NineDot Energy is creating innovative energy solutions that support a more resilient electric grid, deliver economic savings, address environmental justice and reduce carbon emissions. We plan to develop, build and operate more than 400 MW of clean energy systems by 2026 that will strengthen the local power grid infrastructure and provide clean, reliable and resilient power to tens of thousands of New York households and businesses. This is all in support of New York State’s mission to achieve 100% clean energy by 2040.

With the backing of Manulife Investment Management and The Carlyle Group - two of the world’s leading infrastructure investors - NineDot is continuing to expand its core battery energy storage pipeline, deliver enhanced products and services, explore new regions and consider potential acquisitions all to advance the decarbonization of New York’s grid. This is an exciting opportunity to build a platform from the ground-up with a world-class team of developers and innovators. NineDot is committed to building a company that exemplifies diversity, equity and inclusion values in its team culture, as well as business practices and community engagement.

Job Summary:

We are seeking a Software Engineer - Data to design, develop, and maintain internal applications and pipelines, working closely with the Director and colleagues on the data team to improve NineDot’s business through automation and smarter use of data. This role will be highly technical and hands-on. Your role is on a small team and will involve working in a variety of areas, including but not limited to: cloud infrastructure, devops, database development, automating workflows, and scripting. Your work will involve optimizing processes related to various aspects of renewable energy generation, distribution, and consumption. You would be responsible for designing and implementing data management systems, ensuring data quality, and utilizing appropriate tools and technologies to extract valuable insights from the data.

Responsibilities:

• API Development & Integrations: Develop and integrate with APIs, implement data backfills, and build custom integrations, services, or applications to support evolving business needs and ensure seamless operations.
• Automations & Scripting: Create scripts and automations for data synchronization between tools used across the company.
• Databases & Backend: Support backend systems, including database migrations, ensuring the data infrastructure is optimized for performance, scalability, and reliability.
• Cloud Services: Build and manage network infrastructure, compute resources (servers, containers, serverless execution), and other cloud resources to support scalable operations.
• DevOps: Automate deployment across environments, establish testing harnesses for upgrading systems.
• Technology Evaluation: Evaluate and implement new tools and technologies to improve systems and processes.
• Cross-Functional Collaboration: Partner with project development, operations, and finance teams to identify needs and develop implementation plans.
• Documentation: Develop and maintain comprehensive documentation, including design decisions, program behavior, and data dictionaries.
• Frontend Development: Contribute to planning for future frontend improvements, potentially moving beyond Airtable to support enhanced user experiences.
• Additional Responsibilities: Handle other duties as assigned to support team and business goals.

Core Competencies:

• Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
• Drives Results - Constantly achieving results, even under tough circumstances.
• Interpersonal Savvy - Relating openly and comfortably with diverse groups of people.
• Manages Ambiguity - Operating effectively, even when things are not certain or the way forward is not clear.
• Nimble Learning - Actively learning through experimentation when tackling new problems, using both success and failures as learning fodder.
• Plans and Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals.
• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

Required education and experience:

• Bachelor’s degree in Math, Statistics, Engineering, Computer Science or related field.
• 3+ years of software engineering, data engineering, or related experience.
• Experience with setting up and managing data processing, schemas, and storage for multiple systems and teams.
• Coding experience in two or more of the following languages: Python, SQL, Java, Ruby, Javascript.
• Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with data integration, including using APIs, and ETL tools.
• Advanced knowledge of algorithms, data structures, and relational database experience (e.g., PostgreSQL, RDS, Snowflake, or BigQuery).
• Strong written and verbal communication skills.
• Familiarity with data visualization and analytics tools (e.g., Metabase, Power BI, Tableau, Looker, etc) is a plus.
• Experience with a web app framework (e.g., React/Node, MVVM, MVC) is a plus.