Software Engineer - Data

FLSA Classification: Exempt

Salary Range: $110,000 - $125,000 plus bonus and incentive stock options

Reports to: Sr. Manager, Data Analytics

Location: Brooklyn, NY (Hybrid)

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 large-scale applications and pipelines, working closely with the Sr. Data Analytics Manager 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, developing databases, 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:

Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions.
Interpersonal Savvy - Relates well to all colleagues inside and outside the organization.
Intellectual Horsepower - Deals with concepts and complexity comfortably.
Perseverance - Pursues everything with energy, drive, and a need to finish; seldom gives up before finishing, especially in the face of resistance or setbacks.
Technical Learning - Picks up on technical things quickly; can learn new skills and knowledge; is good at learning new industry, company, product, or technical knowledge.
Creativity - Comes up with a lot of new ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Dealing with Ambiguity - Can effectively cope with change; can decide and act without having the total picture; can comfortably handle risk and uncertainty.

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.

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

Affirmative Action/EEO statement

We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.

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