Data Engineer

Data Engineer Who you are You appreciate the client relationship and understand that delivering an excellent experience to the client is critial to success. You enjoy problem solving and are able to think and react quickly; you have a keen eye for detail and are able to multi-task; and able to work collaboratively with multiple stakeholders. You are self-motiviated and able to work with little to no supervision; you practice good time management and you consistently take the intiative to get things done; and take action on matters before being asked by others or forced by event. You are naturally curious, malleable in your approach, and don’t mind if every day looks a little different. You have appreciation for attention to detail, you’re a team player and work towards achieving common goals for the client. You’re honest and respectful in your communication style and when things goes astray, you understand that it’s an opportunity to learn, take accountability and create a path forward. Position Summary The Data Engineer is responsible for expanding and optimizing our data collection and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing systems and building them from the ground up. The Data architect will support our database engineers, analysts and field supervisors on initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the needs of field operations, reporting and analyst teams. The right candidate will be excited by the prospect of optimizing and designing our company’s data architecture to support our next generation of products and initiatives. This is an in-office role. Responsibilities Design data collection forms and pipelines for data extraction Create and maintain optimal data pipeline architecture Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Fabric, and Azure big data technologies. Keep our data separated and secure. Create data tools for analysts that assist them in building and optimizing our product into an innovative industry leader. Qualifications Bachelor’s degree in computer science or related degree or related experience required Experience designing data collection forms in Fulcrum or similar survey software is preferred Experience working with the utility industry preferred Effective communication skills required Proficient in using Microsoft Azure or other cloud data platform Profiecient in Data engineering Proficient in Python, JavaScript and SQL preferred Experience developing apps and environments in Fulcrum strongly preferred Experience in utility infrastructure or utility vegetation management preferred Work Environment In Office Job Type Full Time #J-18808-Ljbffr