Junior Data Engineer at Third Sector Intelligence in Remote

Summary: Third Sector Intelligence (3Si) is a mission-driven company that provides data and analytics solutions to support early childhood education programs. They are looking for a passionate and talented Junior Data Engineer to join their team and help build and maintain robust, scalable, and secure data pipelines to improve early childhood education across the country. Responsibilities: - Design, build, and maintain robust and scalable data pipelines using Python and SQL - Contribute to the development of a modular platform architecture that supports client-specific customizations while maintaining a clean and efficient core system - Develop and implement automation for routine operational tasks, such as data ingestion and configuration management. This includes automating manual data uploading processes - Develop and maintain a comprehensive unit testing framework for ETL processes and data transformations to ensure data quality - Implement comprehensive logging, monitoring, and alerting mechanisms for all ETL processes and data transformations - Work directly with clients and cross-functional teams; strong communication skills and professionalism are essential Required Qualifications: - 1-3 years of experience as a Data Engineer or in a similar role or have an advanced degree - Strong programming skills in Python and SQL - Experience working with cloud environments for data storage, processing, and deployment - Experience with workflow orchestration tools - Experience with data modeling, ETL development, and data warehousing - Experience with unit testing and source control - Fluency in applying generative AI tools and techniques to accelerate development, prototype solutions, and optimize workflows - Excellent communication and collaboration skills, including the ability to communicate technical concepts to non-technical audiences - Ability to work independently and as part of an agile team - Passion for data quality, automation, and building scalable systems - Experience working with large datasets from diverse sources - Ability to effectively prioritize tasks and manage time to meet deadlines - Strong problem-solving skills and a desire to learn and grow professionally Preferred Qualifications: - DevOps experience, including containerization and infrastructure-as-code - Understanding of cloud security, governance, and cost optimization - Experience building and maintaining APIs that facilitate data movement across systems - Experience developing and deploying ML pipelines, LLM models, and predictive analytics solutions - Experience working with early childhood education data Required Skills: Python, SQL, Cloud environments for data storage, processing, Workflow orchestration tools, Data modeling, ETL development, Data warehousing, Unit testing, Source control, Generative AI tools, techniques, Data quality, Automation, Building scalable systems, Working with large datasets, work in an agile team Benefits: 100% Company sponsored Medical, Dental, Vision, STD, EAP, and voluntary life/AD&D plans., Paid Time Off starting at 3 weeks per year and 11 paid holidays., 401k retirement plan + match., Home office stipend upon hire and annually every January thereafter., Career development opportunities.