Top Software Engineer Jobs

As a Senior Software Engineer at Accrete AI, you will lead the architecture and development of the AI platform, guide engineering teams, collaborate with various stakeholders, and drive innovation in AI technologies. You will ensure the platform is scalable, reliable, and meets business objectives while implementing best practices in software development.

The Senior Data Engineer will build and maintain scalable data processing systems using AWS and various big data technologies. Responsibilities include developing real-time and batch data pipelines, ensuring data quality, and collaborating with cross-functional teams on architecture and best practices.

The Talend Developer will design and implement data integration solutions using Talend and Fivetran/HVR. Responsibilities include working with data warehouses and ETL processes, leveraging AWS technologies, and ensuring efficient data pipelines. Candidates should have extensive experience in data integrations and knowledge of AWS Redshift and S3.

As a Staff Systems Safety Engineer at Wisk, you'll oversee safety assessment processes for aircraft design. You'll develop safety plans, manage compliance with regulations, coordinate with management, define safety targets, and validate them with authorities, ensuring the aircraft is safe for urban air mobility.

As a Software Engineer at Everlaw, you will develop and enhance features for the ediscovery platform, ensuring functionality and reliability while integrating various technologies. Your role involves tackling complex engineering challenges in a supportive environment that fosters learning and growth, allowing you to take ownership of significant features.

As a Senior Software Engineer at LevelTen Energy, you will develop full-stack solutions for an energy marketplace, collaborate with product management to define technical designs, address production bugs, and mentor junior engineers, all while focusing on achieving product development goals.

The Data Engineer is responsible for migrating data from legacy systems, developing scalable data pipelines, managing data sources, and ensuring data quality and security. They will also perform audits, work on data warehouse architecture, and integrate new data sources for improved business decision-making.