Top Scala Jobs in Philadelphia, PA

Design and implement the zkSync smart contract platform, develop system contracts, and shape protocol roadmap in collaboration with teams and partners.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

Lead product design and implementation, mentor engineers, manage projects, and drive innovation in healthcare data solutions.

The role involves designing, building, and scaling data pipelines, collaborating with cross-functional teams, and leading technical direction. It includes mentoring team members and promoting best practices in software development.

Lead the design and management of scalable data pipelines, develop canonical datasets, drive data architecture decisions, and partner with cross-functional teams to deliver impactful solutions.

This role involves providing technical leadership and support to partners using Databricks to develop B2B products, focusing on solution architecture and implementation guidance.

Develop and maintain software applications for data processing, collaborate with teams to meet data requirements, and implement data quality checks.

The Azure Data Engineer will design and maintain data pipelines using Azure technologies, optimize data flows, and ensure data quality, collaborating with various stakeholders.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

Lead a team in developing an AI platform that enhances healthcare. Drive technical solutions, build a high-performing team, and collaborate with stakeholders to achieve business outcomes.

The Staff DevOps Engineer leads DevSecOps practices, architecting systems for scalability and security, mentoring teams, and optimizing CI/CD pipelines.

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

As a Machine Learning Engineer, you will design systems for safe data ingestion and optimize data usage to enhance models and products, collaborating closely with the Product team and customers.

Axoni seeks professionals for various roles in capital markets technology, focusing on software engineering, product management, and DevOps, among others.

As a Senior Backend Engineer at Eight Sleep, you will develop and maintain back-end services and improve data processing, supporting critical business logic in distributed systems.

As a Senior Full Stack Engineer, you will develop JavaScript applications, enhance the analytics platform, and improve app visibility based on user feedback.

The role involves architecting and maintaining scalable data pipelines, ensuring data quality, and collaborating on data strategy. Ideal candidates have experience with AWS services and data governance in healthcare.

The Staff Data Engineer will design and implement data ingestion and transformation solutions on cloud platforms while providing technical leadership and support to product teams.

Transform the Document Data Model to improve scalability and performance, build APIs and backend services, enhance observability, mentor team members, and participate in code reviews and on-call support.

As a Senior Partner Solution Engineer, you'll develop technical strategies for VAR partners, enhance business growth, and create joint solutions while leveraging strong pre-sales expertise.

The Specialist Enterprise Architect will design and develop modern cloud and on-premises data architectures while guiding technology decisions and supporting key operational processes and analytics efforts.

Design and develop scalable machine learning solutions to enhance Netflix's personalization systems, while collaborating with cross-functional teams.