Top Senior Level Scala Jobs in Dallas, TX

As the Analytics Engineering Lead, you will transform raw data into insightful outcomes, design data models, enhance data utilization, and collaborate with stakeholders to promote data-driven decision-making while overseeing data quality and documentation.

The Head of Quality Engineering will lead quality functions across multiple platforms, creating and executing a quality assurance strategy, optimizing automated processes, and collaborating with teams to ensure high-quality software delivery. Key responsibilities include driving a culture of excellence, integrating quality into CI/CD pipelines, and managing quality metrics and third-party partners.

The Senior Data Ingestion Engineer leads the Enterprise Data Platform Ingestion team, focusing on managing ingestion processes on the Databricks platform, overseeing ETL/ELT pipelines, and ensuring data security and compliance. Responsibilities include code review, managing Agile sprints, and implementing automated monitoring strategies for ingestion processes.

The Senior Solutions Engineer at Digital Turbine will demonstrate products to clients, troubleshoot technical issues, gather customer needs, and collaborate with product teams. They will also travel to support the business team and engage with clients, ensuring high-quality standards are met.

The Senior Scala Developer will design and maintain high-performance backend systems, lead technical discussions, build RESTful services, and ensure system reliability while collaborating with cross-functional teams.

The Senior Backend Engineer will focus on building and maintaining scalable platforms, APIs, and services, while collaborating with other engineers to enhance existing features. Responsibilities include driving improvements in the codebase and establishing best practices in development processes.

As a Staff Software Engineer, you will design, develop, and maintain software applications that process large amounts of data. Collaborate with cross-functional teams, optimize data models, implement data quality checks, and mentor junior engineers, while also resolving software and data issues using big data and cloud technologies.