Senior Data Engineer at Judge Group, Inc.

We are seeking a Senior Data Engineer to enhance our data engineering capabilities. This role focuses on building and optimizing data pipelines and machine learning services using Azure technologies. The ideal candidate will leverage their expertise to drive data-driven decision-making across the organization. In your daily work, you will utilize a diverse tech stack, including Java , ETL , Machine Learning , Blob Storage , Data Factory , MSSQL , Python , Data Modeling , ADLS , and Azure . You will be responsible for designing, developing, and maintaining robust data pipelines that support analytical and operational needs, ensuring high data quality and availability. Join a collaborative team that values growth and innovation, where you will have opportunities to expand your skill set and advance your career in data engineering. We encourage sharing of ideas and best practices to foster a culture of continuous improvement. This role is unique as it combines technical expertise with strategic influence, allowing you to shape the data landscape of our organization while working fully remote.

Design and implement scalable data pipelines using Azure Data Factory and Blob Storage. Build robust ETL processes to ensure efficient data transformation and loading. Lead the development of machine learning models leveraging Python for data analysis. Architect data solutions that enhance data modeling and integrity in MSSQL databases. Drive optimization of data flows to improve performance across multiple Azure services. Collaborate with cross-functional teams to define and implement effective data solutions.

Competitive salary with comprehensive health insurance and retirement plans. Flexible work arrangements promoting a healthy work-life balance for all employees. Opportunities for professional development, including training and certification programs. Engaging company culture with team-building activities and social events. Access to cutting-edge technology tools and resources for enhanced productivity. Generous paid time off policies to support personal well-being and relaxation.