Top Scala Jobs in Minneapolis, MN

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

Oversee model development and management focusing on fraud and risk. Collaborate cross-functionally to enhance client product performance through data analysis and model governance.

The role involves writing documentation for the Mojo programming language, including code examples and tutorials, collaborating with engineers, and updating existing materials.

Manage the Ads API team, set technical vision, drive architectural decisions, ensure best practices, and collaborate with stakeholders to empower advertisers and partners.

As a Senior Cloud Engineer, you will design, implement, and troubleshoot scalable applications in a Kubernetes ecosystem while collaborating across teams and writing maintainable code.

As a Data Platform Engineer, you will enhance Stitch Fix's data stack to support AI products and analytics, ensuring scalability and reliability.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As a Software Engineer, you will enhance Machinify's AI/ML systems for healthcare claims processing by building robust data science solutions and collaborating closely with data scientists.

Design and build scalable backend systems, contribute to backend development, prioritize deliverables, and design frameworks for ML applications.

Lead the Data Engineering practice, modernizing the data stack, building a data lakehouse, and supporting analytics and product needs.

The Principal Backend Engineer will lead the API architecture for Yahoo's data ecosystem, designing scalable APIs and integrating systems while collaborating across teams to optimize user experiences.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Solutions Architect leads the design and implementation of data solutions, mentors engineers, develops technical production solutions, and communicates with clients.

The Staff Data Scientist will develop predictive models, optimize supply and demand, perform testing, and mentor junior data scientists using advanced data science techniques.

The Senior ML Engineer designs and develops advanced machine learning models, collaborates with teams, monitors model performance, and implements MLOps practices for scalability.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

Lead a data engineering team to build scalable, cloud-native data pipelines, ensuring quality and security in collaboration with various teams.

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

As a Senior Data Engineer, you will architect and scale data platforms, build data pipelines, mentor junior engineers, and collaborate with cross-functional teams.

The Data Platform Engineering Manager will lead a team to build scalable data solutions, oversee platform architecture, mentor engineers, and ensure operational stability and data governance.

As a Quantitative Engineer II, you will model complex structured finance transactions, enhance reporting tools, and collaborate with internal teams and clients.

The Senior Software Engineer will design, build, and maintain data services and infrastructure, focusing on high-performance and scalable systems, alongside collaboration for data features across the company.

This role involves providing technical leadership for adopting Data and AI solutions, consulting on big data architecture, and implementing solutions for customers using Databricks technologies.

The Senior Data Engineer will design, develop, and maintain scalable cloud data infrastructure, optimizing data handling and collaborating across teams to enhance data strategies and quality.