Top Scala Jobs in Charlotte, NC

Oversee enterprise Systems Operations for large-scale data platforms, ensuring high availability and performance while mentoring a global team. Drive automation initiatives and manage operational policies for system stability and compliance.

Lead and grow the Data Platform engineering teams to deliver a managed Lakehouse and data services (Snowflake, Flink, Iceberg, Airflow). Define roadmap, drive scalable pipeline design, ensure reliability and security, collaborate with cross-functional stakeholders, and represent technical thought leadership externally.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

Design and build scalable data platform infrastructure, ensuring data accessibility and reliability. Support teams in data transformations and foster collaborations for better decision-making.

Lead and manage the data engineering team, architect resilient data infrastructure, ensure data quality, and enable accessible data for business stakeholders.

The Senior Data Engineer will design, build, and operate data pipelines for Zeta's AdTech platform, focusing on high-scale data processing and analytics-ready datasets.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

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.

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

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

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, build, and maintain data platform tools, ensuring data quality and integrity. Collaborate with data science teams and enforce best software practices.

Lead technical initiatives, optimize team delivery, and drive architectural decisions while building and supporting core software components in an agile environment.

Lead the technical strategy for enterprise data architecture and governance, design scalable data solutions, and mentor engineering teams in data modeling and pipeline design.

You will architect and develop data products for Netflix Ads, build data pipelines, and collaborate with various teams to ensure data quality and governance.

The Senior Engineering Manager leads the Risk Platform team, focuses on building scalable software for healthcare, and drives team performance while collaborating with stakeholders.

The Product Support Engineer will handle customer environments, resolve Hadoop and Spark issues, and ensure optimal performance during migrations and upgrades.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

The role involves developing high-performance data processing systems, collaborating across teams, and improving data infrastructure at Airbnb. It requires designing scalable data architectures and advocating for engineering quality in data operations.

The Software Architect will design and implement intelligent document processing and agentic evaluation frameworks, leading architectural direction and coding in Python and Scala/Java.

The Software Engineer will design, build, and optimize messaging systems, collaborate with teams, and ensure product reliability while mentoring junior engineers.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.