Top Scala Jobs in Houston, TX

The Software Engineer III will develop, test, and implement automated data lake solutions for analytics, collaborating with Agile teams, and working with complex ETL pipelines.

Lead design and implementation of scalable Big Data healthcare solutions, shape technical roadmap, mentor engineers, collaborate with product and stakeholders, and maintain CI/CD, testing, and cloud infrastructure.

Design and evolve data pipelines, ensure accuracy of business datasets, improve data reliability, and partner across teams to provide insights and solutions.

The Analytics Engineer will build analytical frameworks to enhance identity experiences at Netflix, collaborating across teams to ensure data quality and drive insights.

The Sr. Specialist Solutions Architect will guide customers in transforming their cloud data warehousing, provide technical leadership, architect production workloads, and enhance community adoption through training and tutorials.

The Implementation Data Architect designs and implements complex data architectures for client onboarding, translating business needs into scalable data solutions while ensuring strong client engagement and adherence to best practices in security and governance.

The Senior Software Engineer will enhance AI system reliability, performance, and scalability, focusing on distributed services and collaborating with ML researchers.

The Senior Software Engineer will build and enhance 15Five's Data Intelligence Platform while collaborating with Data Science and Product Engineering teams.

Design, build, and own scalable data pipelines and products for Content Finance, shaping data engineering practices and enhancing financial decision-making at Netflix.

The Senior Data Engineer will design and maintain data pipelines, collaborate with teams to ensure data integrity and quality, and implement best practices for data management and compliance in healthcare.

Design, build, and maintain scalable Scala-based Big Data applications and pipelines using Spark and Kafka. Participate in technical design, implement ETL/data modeling and performance tuning, write tests, troubleshoot production issues, and advise stakeholders on best practices to integrate enterprise data into an analytical warehouse.

Design and develop backend services in Scala, build RESTful APIs, optimize performance, collaborate with teams, and troubleshoot issues.