Fabspeed Motorsport

Computer Technology Services, incorporated in 1985, provides I.T. Consulting and staffing services to both public and private sector customers. For this role, we are looking for an experienced individual to support a “Big 4” organization. This is a full-time position working directly for CTS. This role does require occasional travel, and we will be evaluating candidates who live in Eastern and Central time zones only.

Overview: We are seeking a highly skilled and experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures. You will play a key role in enabling data-driven decisions by ensuring data accessibility, reliability, and performance across the organization. The team you will be joining focuses on the ability to deliver comprehensive, value-added, and efficient tax services to clients. It is a dynamic group of professionals with varying backgrounds from tax technical, technology development, change management, and project management.

Responsibilities:

• Define and enforce best practices and coding standards across the project.
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality.
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and help manage the flow of day-to-day operations
• Communicating with the client on a regular basis
• Design, develop, and maintain robust and scalable Python applications.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Optimize code for performance and scalability, ensuring efficient data handling.
• Work closely with cross-functional teams to deliver high-quality software solutions.
• Identify and resolve technical issues, ensuring the reliability and performance of applications.
• Create and maintain comprehensive documentation for code, processes, and workflows.
• Provide guidance and mentorship to less skilled developers, fostering a collaborative and productive team environment.

Mandatory Qualifications and Skills

• 5+ years of experience in development
• Proficient in web development with strong hands-on experience using the FastAPI framework.
• Production experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction.
• Familiarity with multi agent patterns, approaches and frameworks, such as LangGraph, AutoGen, Crew AI, Google ADK, etc.
• Experience with Pydantic for data validation and schema definition in Python applications.
• Skilled in asynchronous and parallel programming, with practical knowledge of asyncio.
• Proficiency working with non-relational databases, including MongoDB.
• Strong analytical and problem-solving abilities with a detail-oriented mindset.
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively.
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines.
• NO 1099 or Sub-Contractors (must be a W2 employee)
• No Sponsorships

Preferred Qualifications

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more.
• Familiarity with agentic protocols such as MCP and A2A is a strong plus.
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable.
• Familiarity with .NET is considered a plus.
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes.
• Solid understanding of microservices architecture and its implementation in scalable systems.

Job Type: Full-time

Pay: $160,000.00 per year

Benefits:

• Dental insurance
• Health insurance
• Vision insurance

Experience:

• Python: 5 years (Required)

Language:

• English (Preferred)

Work Location: Remote