Data Engineer
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Job Descriptions
A growing climate-tech startup in Boston is seeking a Data Engineer to join their innovative data team. This company is building a modern, data-driven platform that empowers businesses and communities to track carbon emissions, optimize renewable energy usage, and make smarter sustainability decisions in real time. This is a hybrid full-time role working with Python, SQL, AWS, and scalable data pipelines.
This is a unique opportunity to join a startup that's transforming the clean energy industry with cutting-edge data infrastructure. You'll work closely with Product, Engineering, and Analytics teams to design systems that power secure, high-performance environmental and sustainability data flows. If you're a data engineering expert, this role offers an excellent blend of impact, growth potential, and flexibility.
Full-time hybrid opportunity in downtown Boston.
Required Skills & Experience
Job Descriptions
A growing climate-tech startup in Boston is seeking a Data Engineer to join their innovative data team. This company is building a modern, data-driven platform that empowers businesses and communities to track carbon emissions, optimize renewable energy usage, and make smarter sustainability decisions in real time. This is a hybrid full-time role working with Python, SQL, AWS, and scalable data pipelines.
This is a unique opportunity to join a startup that's transforming the clean energy industry with cutting-edge data infrastructure. You'll work closely with Product, Engineering, and Analytics teams to design systems that power secure, high-performance environmental and sustainability data flows. If you're a data engineering expert, this role offers an excellent blend of impact, growth potential, and flexibility.
Full-time hybrid opportunity in downtown Boston.
Required Skills & Experience
- 3+ years of experience in data engineering or backend data systems
- Strong proficiency in Python and SQL
- Hands-on experience with AWS services (S3, Glue, Redshift, Lambda, etc.)
- Proven ability to design and optimize ETL pipelines and data workflows
- Solid understanding of data warehousing principles and best practices
- Background in sustainability, climate data, or IoT platforms
- Familiarity with streaming data platforms (Kafka, Kinesis)
- Experience with workflow orchestration tools (Airflow, Step Functions)
- Strong communication skills and ability to work cross-functionally
- Design, build, and maintain scalable data pipelines to process sustainability and energy data
- Integrate new data sources, including APIs, IoT devices, and streaming platforms
- Optimize workflows for performance, cost efficiency, and reliability
- Implement data quality monitoring and alerting systems
- Collaborate with stakeholders to support analytics and product needs
- 45% Data Pipeline Development (Python, SQL)
- 30% AWS Cloud Infrastructure & Optimization
- 15% Data Quality Monitoring & Compliance
- 10% Workflow Automation
- 70% Hands-On Engineering
- 20% Data Monitoring & Quality Assurance
- 10% Team Collaboration
- Competitive $100K-$120K base salary + early-stage stock options
- Medical, Dental, and Vision Insurance
- Flexible hybrid work schedule
- Unlimited PTO & paid holidays