Data Engineer

Make an Impact We are seeking a Data Engineer who can work across the full data lifecycle—from integrating and transforming data to delivering business‑ready reports and analytics solutions. This role sits at the intersection of data engineering and analytics, supporting both backend data processes and the development of reporting solutions used by business teams. The ideal candidate is comfortable working with complex data, quickly learning business concepts, and translating requirements into scalable data solutions. The role involves close collaboration with business stakeholders to understand reporting needs, design efficient data models, build automated data pipelines, and deliver clear and reliable reports that support operational and strategic decision‑making. Responsibilities Partner with business stakeholders to gather requirements and translate reporting needs into technical solutions. Design, develop, and maintain data pipelines, data models, and automated workflows. Develop and maintain reporting solutions using Power BI, SSRS, or similar tools. Build and maintain SQL‑based datasets and transformations for reporting and analysis. Implement automation and integration solutions using Python, APIs, or cloud services. Collaborate with teams to improve data quality, consistency, and reliability. Break down complex problems and deliver scalable solutions independently. Perform code reviews, testing, and validation to ensure data accuracy. Manage development work, track progress, and deliver projects on schedule. Contribute to documentation and continuous improvement of data workflows. Qualifications BA/BS in Information Systems, Computer Science, Mathematics, or related field (or equivalent experience). 5+ years of experience with relational databases and SQL (Microsoft SQL Server/Azure SQL preferred). 2+ years of experience building reports or dashboards (Power BI, SSRS, Tableau). Experience with Python or scripting for automation and data processing. Experience with ETL processes or data pipeline development. Familiarity with Azure services such as Azure Data Factory or Azure Functions is a plus. Strong ability to translate business rules into data logic and reporting solutions. Experience supporting end‑to‑end analytics workflows. Experience with AI‑assisted tools (e.g., ChatGPT, coding assistants) is a plus. Strong problem‑solving, communication, and collaboration skills. Ability to work independently and manage multiple priorities. Benefits Full insurance benefit suite including medical, dental, vision, critical illness, accident, short‑term disability, legal & identity‑theft, and pet insurance. Company‑paid life insurance (optionally supplemented by additional coverage). Long‑term disability insurance. Access to benefits concierge and mental‑health & well‑being services. 401(k) plan with dollar‑for‑dollar match up to 6% of pay; contributions fully vested immediately. Paid time off: 5.23 hours per pay period, totaling 17 days per year; 11 paid holidays per year. Paid parental leave: four weeks after six months of employment (primary caregiver) and up to twelve weeks after two years of employment (primary caregiver). Tuition reimbursement: up to $5,000 per year for pre‑approved expenses (subject to repayment if employment terminates). Equal Employment Opportunity: We evaluate all candidates based on merit, without any discrimination based on race, color, religion, sex, age, disability, sexual orientation, national origin, or any other category protected by law. As an equal‑opportunity employer, we are devoted to creating an inclusive hiring process. #J-18808-Ljbffr Bridge Homes