Lead Big Data/ Machine Learning Engineer at Swoon

The Lead Big Data / Machine Learning Engineer will play a crucial role in driving data engineering initiatives within our organization. This position is tailored for an expert-level professional who will lead the design and implementation of scalable data solutions, leveraging advanced technologies to enhance data processing and analytics capabilities. Daily responsibilities will include managing data warehousing, overseeing ETL processes, and ensuring robust data governance. The ideal candidate will utilize cloud computing services, primarily AWS, to implement Big Data technologies. Proficiency in developing data pipelines using Python, PySpark, and SQL, alongside experience with Jenkins for CI/CD processes, will be essential to achieve operational objectives and data modeling success. This role offers a dynamic team environment that encourages collaboration and innovation. The successful candidate will have opportunities for professional growth and development, working alongside talented peers dedicated to pushing the boundaries of data engineering. What sets this role apart is the unique blend of leadership and technical challenges, providing a platform to influence data strategy and drive impactful projects within a hybrid work environment.

Design and develop scalable data pipelines using AWS and Big Data technologies. Build robust ETL processes to ensure efficient data flow and integration. Lead data governance initiatives to maintain data quality and compliance standards. Architect data models that optimize accessibility for data scientists and analysts. Drive collaboration with cross-functional teams to enhance data accessibility and usage. Mentor junior engineers to foster skill development and knowledge sharing. Implement best practices in data pipeline development and performance optimization. Contribute to the overall data strategy by aligning engineering efforts with business goals.

Competitive compensation package with comprehensive health coverage and retirement plans. Flexible work hours and remote work options to support work-life balance. Opportunities for professional development through workshops and training programs. Tuition reimbursement for continuing education and skill enhancement. Inclusive company culture that values diversity and teamwork. Attractive perks including wellness programs and team-building activities.