Top Scala Jobs in Atlanta, GA

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

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.

The Senior Software Engineer will design and implement an automated data lake solution, collaborating with Agile teams, and centralizing analytics data.

As a Senior Data Engineer, you'll design and maintain data pipelines, develop models, and collaborate with teams to enhance data solutions at Airbnb.

Seeking a Data Engineer to build scalable data management frameworks focused on privacy compliance. Responsibilities include designing data pipelines and partnering with privacy teams.

The Senior Data Engineer develops and maintains data solutions, enhances team productivity, and supports a culture of continuous improvement in healthcare analytics.

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

Design, develop, and maintain data systems and real-time APIs, ensuring high performance and reliability for Netflix's services. Collaborate with teams and drive innovation in fast-paced environments.

Lead the development of batch processing platform using big data technologies, improve Spark internals, and collaborate on large-scale data solutions.

Develop and maintain language frontends for the Joern platform for automated software vulnerability analysis, collaborating with a global team.

Design and implement scalable backend services and dynamic frontend interfaces while managing cloud services and optimizing database interactions for high throughput.

The Senior Data Engineer will design and implement data pipelines, optimize data solutions, collaborate with teams for data integrity, mentor junior staff, and stay updated on industry trends.

Lead a Big Data engineering team specializing in data ingestion and governance, develop Big Data solutions in the Hadoop ecosystem, and foster a collaborative environment for technical skill building.

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

The Director of Data Engineering & Analytics will lead the design and implementation of Apogee's Data Lakehouse, focusing on various operational use cases and ensuring compliance in a regulated environment.

The Site Reliability Engineer II will automate network engineering efforts, enhance platform infrastructure, participate in major incident responses, and collaborate with cross-functional teams to improve service reliability.

Seeking a Senior Cloud Software Engineer with 5+ years in software development, excellent Java skills, and experience with cloud platforms and microservices.

Lead technical expert for the Databricks platform, developing architectures, mentoring engineers, and providing hands-on guidance for data solutions.

Lead the architectural design and implementation of data solutions on the Databricks Platform, providing guidance and mentoring to engineering teams. Develop reference architectures and optimize data pipelines while ensuring best practices in data governance and performance.

Lead the development of the Entity Resolution API, design data pipelines, and build low-latency search systems while collaborating with cross-functional teams.

The Vice President of Engineering will lead Nutrafol's engineering department, oversee product delivery, drive innovation, and manage a diverse engineering team, ensuring alignment with business goals.

The Software Engineer III will work with the Data Platform team, developing automated data lake solutions and collaborating with agile teams on analytics support.

Build a data-focused product using open source solutions, focusing on both backend and frontend development while ensuring low-latency system performance.

The Principal Data Engineer will own the data architecture, design and build scalable pipelines, enforce data quality, and lead collaboration across teams to enable BI and ML.

Design and develop a scalable storage engine, lead engineering efforts, collaborate cross-functionally, and mentor junior engineers while ensuring system reliability and performance.