Join Onebridge as a Sr. Data Engineer

Onebridge, a premier Consulting firm headquartered in Indianapolis, offers a unique opportunity for a highly skilled Sr. Data Engineer. Join our innovative team that has been consistently recognized as one of the "Best Places to Work" in Indianapolis since 2015. We cater to clients across the United States and beyond, providing comprehensive data engineering solutions.

About the Sr. Data Engineer Role

As a Sr. Data Engineer at Onebridge, you will be responsible for designing, implementing, and maintaining robust data pipelines and architecture within the healthcare sector. This role requires close collaboration with cross-functional teams to ensure the optimization of data infrastructure for performance and scalability. Expertise in cloud platforms, large-scale data processing, and modern workflow orchestration tools is essential. You will play a critical role in ensuring data quality and compliance with governance standards while demonstrating strong team and project leadership skills.

Day-to-Day Responsibilities

• Design, implement, and maintain data pipelines from Cerner to integrated systems for MLOps applications, ensuring efficient and reliable data flow.
• Develop and optimize data workflows using Apache Airflow, and process and analyze large datasets with BigQuery and PySpark.
• Deploy and manage data infrastructure on cloud platforms such as GCP and Azure, including implementing and managing cloud databases and data structures.
• Utilize Kubernetes and Docker for containerization and orchestration, tuning, and monitoring pipeline performance for optimal efficiency.
• Provide technical leadership by making informed architectural decisions, mentoring team members on best practices, and collaborating with a Cerner specialist for specific integration challenges.

Required Skills & Experience

• 7+ years of experience in data engineering, with a proven track record of designing, implementing, and maintaining large-scale data pipelines.
• Advanced skills in Python for data processing and automation.
• Strong experience with BigQuery and/or PySpark, and workflow coordination tools like Apache Airflow.
• Extensive experience with cloud platforms, specifically GCP and Azure, with in-depth knowledge of cloud databases and data structures.
• Experience with MLOps, integrating machine learning models into production data pipelines.
• Proficiency in Kubernetes and Docker for effective containerization and orchestration.
• Strong problem-solving skills, attention to detail, and effective communication and collaboration abilities.
• Experience working with healthcare data is highly advantageous.

Join our award-winning team and further your career in an environment that values innovation, collaboration, and excellence. Apply today to become a Sr. Data Engineer at Onebridge and make a significant impact in the healthcare industry.