Top Senior Level Data Engineer Jobs in Philadelphia, PA

Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.

As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Sr. Data Engineer II at DXC Technology will build and optimize data pipelines, analyze data for preparation, integrate with ML Engineers, and ensure high-performance data engineering processes. Responsibilities also include technical leadership and collaborating with various engineering teams to align data workflows with business requirements.

Lead a team of data engineers to develop and maintain scalable data pipelines. Optimize workflows for data capture and processing, collaborate with architects and engineers, and ensure high-performance data engineering processes. Provide mentorship and design secure data ingestion workflows.

The Cloud Data Architect will lead major projects, develop cloud architecture proposals, optimize data systems, and ensure compliance across cloud environments. Responsibilities include mentoring team members, designing solutions for high availability, and creating strategic technical plans based on business needs.

Design, implement, and maintain complex ETL pipelines using Apache Spark, Apache Airflow, and AWS Glue. Collaborate with data producers to establish robust data contracts and develop advanced data models for batch and near real-time data processing.