Product Solutions Engineer transforming data and integrating solutions for scalable customer value at Introhive. Collaborating with architectural teams to streamline integration processes with enterprise clients.
EI
Senior Integrations Developer – AI Data Integration Engineer
Posted 2 days ago
About the role
- Senior Integrations Developer leading evolution of AI-assisted data integration framework at Engineered Intelligence. Design and support ETL pipelines for electric utilities data integration.
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines for onboarding external client data into the ENGIN analytics platform
- Analyze and reverse-engineer client systems, source data structures, and business processes to define integration approaches
- Develop transformation logic, mapping rules, reconciliation processes, and validation workflows for complex utility and enterprise datasets
- Contribute to the design and implementation of AI-assisted and metadata-driven integration development frameworks
- Work with agentic workflows, reusable AI skills, metadata models, and automation pipelines to accelerate integration development
- Develop integration logic using Python, PySpark, SQL, and cloud-native data processing frameworks
- Support deployment and orchestration of ETL workloads within AWS-based infrastructure environments.
- Implement data quality, validation, monitoring, reconciliation, and error-handling processes across integration workflows
- Collaborate with product, delivery, customer, and engineering teams to define data contracts, transformation requirements, and integration standards
- Document integration logic, business rules, workflows, and architectural decisions
- Participate in architectural planning and contribute to long-term modernization of the company’s integration ecosystem
- Assist with project estimation, implementation planning, technical discovery, and stakeholder communication.
Requirements
- 5+ years of experience in ETL development, data integration, data engineering, or related roles
- Strong hands-on experience with Python and SQL for data transformation and pipeline development
- Experience working with modern cloud-based data processing and orchestration environments
- Strong understanding of relational data modeling, dimensional modeling, CDC concepts, ODS/data marts, and data warehousing principles
- Experience developing transformation rules, reconciliation logic, mapping logic, and data validation frameworks
- Strong understanding of data profiling, pattern recognition, natural keys vs surrogate keys, and reference/lookup data management
- Experience working with APIs, flat files, databases, and event-driven integration patterns
- Comfortable using AI-assisted development tools to generate, review, and refine technical artifacts and code
- Understanding of modern AI terminology and concepts such as agents, agentic workflows, metadata-driven processing, reusable skills, hooks, and orchestration patterns
- Familiarity with AWS cloud services and distributed data processing concepts
- Strong analytical, troubleshooting, and system discovery skills
- Excellent communication, documentation, and stakeholder collaboration abilities
- Ability to work independently in a fast-paced and evolving technical environment.
Benefits
- Opportunity to work on advanced AI-assisted integration and analytics platforms
- Direct impact on the architecture and future direction of the company’s data platform
- High level of ownership, autonomy, and technical influence
- Competitive compensation and benefits
- Collaborative and technically strong engineering culture
- Flexible Hours – Work around a core schedule (10:00 AM – 3:00 PM) while maintaining a work-life balance that suits you.
- Autonomy & Growth – Take ownership of diverse responsibilities, explore cross-disciplinary opportunities, and advance your career in a dynamic, fast-growing company.
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