Top Scala Jobs in Atlanta, GA

As a ML Data Engineer II, you'll design and develop data pipelines to extract, enrich, and process metadata. You'll work with teams to deliver scalable metadata solutions and maintain systems at scale, ensuring data accuracy and quality through automation.

As a Staff Data Engineer in the Data Stewardship team, you will develop high-quality data assets, collaborate with cross-functional teams to address data needs, and influence analytics engineering practices. Your role involves improving data quality and integrity while navigating regulatory landscapes, mentoring team members, and contributing to long-term data strategies.

As a Senior Data Scientist at Entefy, you will play a key role in pushing the limits of data science, focusing on analytics and insights from complex datasets, while also potentially leading a team of data scientists. You'll utilize your experience in various programming languages and your strong analytical skills to drive productivity improvements.

The Senior Data Scientist at Entefy will play a key role in pushing the boundaries of data science. This position requires delivering advanced analytics, strong data visualization, and extracting insights from complex datasets, while leading and mentoring junior data experts.

As a Staff Data Engineer at Airbnb, you will architect and productionize data systems, ensuring their quality and stability. Collaborating with cross-functional teams, you will develop innovative solutions that empower decision-making and enhance user experience. You'll also shape data engineering strategies and mentor team members, significantly impacting Airbnb's data foundation.

As a Software Engineer specializing in Data Engineering, you will build and optimize large data pipelines using technologies such as Spark and Kafka. Your responsibilities will include developing ETL processes, data validation, and collaborating with various stakeholders to enhance the data ecosystem, delivering tailored solutions for customer business growth.

The Sr. Azure Data Engineer will develop efficient data pipelines, work with Azure technologies, and harmonize data for analytics. Responsibilities include coding in Scala, integrating APIs, building data ingestion pipelines, and ensuring data systems align with business goals.

The Principal MLOps Engineer will deploy ML infrastructure, build MLOps pipelines, and develop a full-lifecycle ML platform for real-time data processing. The role requires working hands-on with a team to enhance critical event awareness for the Department of Defense using a complex data system that handles over a billion events daily.