What are the responsibilities and job description for the Senior Data Engineer position at Climate Pros?
Position Summary
Climate Pros is seeking a Senior Data Engineer to support the design, development, and modernization of our data platform. This role focuses on building scalable, secure, and high-performing data systems aligned with long-term architecture and business needs.
You will contribute to key initiatives including transitioning to cloud-managed relational databases (currently SQL Server on AWS RDS, with future consideration for platforms such as PostgreSQL), evolving toward Microsoft Fabric, and enabling data for advanced analytics and AI.
Key Responsibilities
Data Architecture & Modeling
- Design scalable data models for operational and analytical use
- Develop relational, dimensional, and analytical data structures
- Ensure consistency and integrity across systems
- Design solutions portable across database platforms where practical
Data Engineering & Pipelines
- Build and maintain ETL/ELT pipelines
- Support batch and near real-time data processing
- Automate ingestion and transformation processes
Platform Modernization
- Support SQL Server workloads in AWS RDS
- Assist transition toward Microsoft Fabric
- Align with long-term data platform strategy
Scalability & Performance
- Optimize performance and reliability
- Resolve bottlenecks and ensure availability
Security & Governance
- Implement secure data practices and controls
- Support compliance (e.g., SOC 2)
AI & Advanced Data Enablement
- Support AI-ready data structures and integrations
Collaboration
- Work with engineering, architecture, and business teams
Qualifications
Required
- 7 years data engineering experience
- Strong SQL and relational database expertise (SQL Server, PostgreSQL, etc.)
- Experience with ETL/ELT and cloud platforms (AWS/Azure)
- Strong data modeling and performance tuning skills
Preferred
- Experience with AWS RDS, Redshift, DMS
- Experience with Microsoft Fabric or Power BI
- Experience across multiple database platforms (SQL Server, PostgreSQL)
- Exposure to AI/ML data environments