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About The Company
Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfill this vision through our technical innovation, client services, expertise, and capability expansion.
About The Role
We are seeking a skilled and experienced Data Engineer with a minimum of 2 years of experience in AI-driven data pipelines, agentic databases, and orchestration frameworks. The role focuses on designing intelligent, scalable, and adaptive data architectures that support next-generation AI-based systems and applications. The ideal candidate will have a strong background in AWS services (including Glue, EMR, and Lambda), along with expertise in data modeling, Python, SQL, and hands-on experience in integrating third-party APIs from the ground up. This position offers an exciting opportunity to contribute to cutting-edge projects at the intersection of AI and sustainable energy, making a tangible impact on the future of clean energy solutions.
Qualifications
Educational background includes a Bachelor’s degree in Computer Science, Data Engineering, or a related field. Candidates should possess a minimum of 2 years of experience in data engineering, with exposure to AI-driven or agentic systems. Proficiency in AWS services such as S3, Glue, EMR, Lambda, DynamoDB, and Postgres is essential, with at least 1.5 to 2 years of hands-on experience specifically with DynamoDB. Experience in data scraping, data modeling, schema design, and relational database concepts is required. Candidates must demonstrate strong SQL skills, including performance tuning and query optimization. Prior experience in integrating APIs and AI components into data pipelines is highly desirable, along with a solid understanding of data governance, lineage, and observability best practices.
Responsibilities
- Design, develop, and maintain AI-driven, agentic data pipelines and intelligent end-to-end architectures that support scalable, adaptive systems.
- Build and optimize data models and schemas that adapt to evolving business needs, ensuring flexibility across structured and unstructured data.
- Integrate AI-driven components and advanced data workflows into production systems for seamless orchestration and automation.
- Collaborate with cross-functional teams and stakeholders to translate business requirements into effective technical solutions.
- Implement scalable pipelines on AWS using services such as S3, Glue, EMR, Lambda, and DynamoDB to ensure system reliability and high performance.
- Develop and manage ETL/ELT pipelines, integrating third-party APIs and diverse data sources with high accuracy and consistency.
- Apply best practices in data governance, lineage, and observability, utilizing modern monitoring tools to ensure data integrity and system health.
- Optimize SQL queries, storage, and throughput to enhance efficiency across data systems.
- Document data pipelines, data flows, and transformations to maintain clarity and facilitate future maintenance and upgrades.
- Explore emerging tools and frameworks related to agentic systems, orchestration, and AWS to continually enhance the data engineering ecosystem.
Benefits
Joining Sustainability Economics.ai offers the opportunity to be part of a pioneering organization at the forefront of AI and sustainable energy. Employees benefit from a collaborative and innovative work environment that encourages continuous learning and professional growth. The company provides competitive compensation packages, comprehensive health benefits, and flexible work arrangements. Employees are empowered to contribute to impactful projects that aim to solve real-world challenges in clean energy and AI, fostering a sense of purpose and achievement. Additionally, there are ample opportunities for career advancement within a rapidly growing organization committed to technological excellence and sustainability.
Equal Opportunity
Sustainability Economics.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected status. Our hiring practices are designed to attract talented individuals from diverse backgrounds, ensuring a vibrant and innovative workplace where everyone can thrive and contribute to our mission of advancing sustainable energy solutions through AI.
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