Top Senior Level Software Engineer Jobs in Milwaukee, WI

As a Frontend Developer at Coin Metrics, you will work on data visualization tools and the company's website while integrating with backend APIs. Responsibilities include collaborating with UX and Product teams, developing a new Dashboard application, and building test cases, all while focusing on frontend application performance and documentation.

The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

The Senior Software Developer will redesign applications and migrate data from Ab Initio to Python and Oracle SQL. This role involves collaborating with internal teams, designing and coding Python applications, and analyzing test results to improve application performance.

The Senior Frontend Engineer will contribute to building Givebutter's products, perform code reviews, collaborate with design and product teams, manage bugs, document processes, and ensure adherence to coding standards while mentoring team members.

The Senior SQL Developer will be responsible for developing and implementing new features within the Artemetrx SaaS technology. Duties include designing and maintaining databases, optimizing SQL procedures, collaborating on standards, and supporting junior developers. The role requires problem-solving skills and technical knowledge in database development using MS SQL, T-SQL, and C#.

The Director of Engineering - Data will lead a team to develop and implement data-driven strategies and advanced analytics solutions. Responsibilities include overseeing data pipeline creation, machine learning models, and adopting new data technologies to enhance products and services, ensuring quality data utilization across various teams.