Top Remote Senior Level Software Engineer Jobs in Washington DC,

As a Senior Data Engineer, you will lead the development of scalable data infrastructure and real-time systems to handle large-scale raw data. Responsibilities include building tools for data analysis, improving data quality, implementing CI/CD pipelines for data operations, and addressing data requests while collaborating closely with machine learning engineers and data scientists.

The Senior Software Development Engineer is responsible for designing, developing, and maintaining scalable software solutions, particularly using Python and AWS. Key responsibilities include implementing cloud-based services, managing CI/CD pipelines, mentoring junior engineers, and troubleshooting technical issues.

The SAS Analyst/Developer will develop and maintain SAS programs, leverage Python for data workflows, and collaborate with teams to translate business requirements into analytical solutions. Responsibilities include data validation, cleansing, optimizing processes, and documenting methodologies.

The Senior Integration Developer will deliver MuleSoft solutions, translating business objectives into technical solutions, coding, testing, and documenting integrations, and applying Agile principles. This role involves mentoring other developers and ensuring project success through effective collaboration and communication.

Lead the design and layout of high-density PCB server boards integrating ML/AI chips. Collaborate with Electrical and Mechanical Engineers to meet design requirements, producing complete documentation and managing the integrity of component placement and routing. Ensure compliance with DFM inputs and perform layout checks.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

The Solution Architect for Partner Development will manage partnerships, drive account planning and sales strategies, conduct technical workshops, lead product demonstrations, and act as a domain expert in AI/ML to optimize partner performance and continuously improve the customer experience at Arize.