Data Engineer
Motion Recruitment
Job Description
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 Desired Skills & Experience 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 What You Will Be Doing 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 Tech Breakdown 45% Data Pipeline Development (Python, SQL) 30% AWS Cloud Infrastructure & Optimization 15% Data Quality Monitoring & Compliance 10% Workflow Automation Daily Responsibilities 70% Hands‑On Engineering 20% Data Monitoring & Quality Assurance 10% Team Collaboration You Will Receive the Following Benefits: Competitive $100K–$120K base salary + early‑stage stock options Medical, Dental, and Vision Insurance Flexible hybrid work schedule Unlimited PTO & paid holidays Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #J-18808-Ljbffr