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Data Engineer Contract Jobs in Kansas (NOW HIRING)

Lead AI Engineer

Kansas City, KS ยท On-site

$98K - $130K/yr

Preferably worked as Data Engineering Leads * Are tech savvy, have tried out building Gen AI apps. Role Overview * Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an ...

Static Stress Engineer - Contract

Wichita, KS ยท On-site

$52.50 - $72/hr

As a Static Stress Engineer you will support the fleet in-service repair of aircraft structures and ... assumptions, data and procedures reflect on-going developments. * Ensure, with the relevant ...

As a Static Stress Engineer you will support the fleet in-service repair of aircraft structures and ... assumptions, data and procedures reflect on-going developments. * Ensure, with the relevant ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

... and contract manufacturing operations. Automated Test System Development Design, develop, and ... Analyze test data and identify opportunities for process improvement and defect reduction.

New

Contract (17 months). Contractors Needed: 2 Salary: $45.00 to $70.00 an hour (depending on ... data to reporting agencies (i.e., SPP, NERC, FERC) and meet new system requirements. Produce ...

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Data Engineer Contract information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do data engineer contract jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data engineer contract in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer on a contract basis?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the Data Engineer Contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a Data Engineer Contract job?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Kansas? The most popular types of Data Engineer jobs in Kansas are:
What are popular job titles related to Data Engineer Contract jobs in Kansas? For Data Engineer Contract jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Data Engineer Contract jobs? Cities in Kansas with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 15% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.
Lead AI Engineer

Lead AI Engineer

Conflux Systems

Kansas City, KS โ€ข On-site

$98K - $130K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka)
Location: Leawood, KS
Description
  • Led App Development teams and are aware of working with distributed systems
  • Are well aware of architecture (backend) and integrations
  • Taking Applications to production (so awareness of end to end working of systems)
  • Preferably know Kafka
  • Preferably worked as Data Engineering Leads
  • Are tech savvy, have tried out building Gen AI apps.

Role Overview
  • Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an order taker - someone who leads from the front, manages delivery across the AI team, and ensures successful execution of complex, high-impact AI initiatives.
  • You will architect and deliver applied AI solutions powered by Large Language Models (LLMs) and Small Language Models (SMLs) within a distributed, production-grade ecosystem.
  • This is a hands-on technical leadership and delivery management role that combines engineering excellence, team guidance, and cross-functional collaboration. You will work closely with Technical Product Owners (TPOs), Technical Program Managers (TPMs), Platform Engineering, and Senior Managers to deliver scalable, reliable, and innovative AI applications that transform digital learning experiences.

Roles and Responsibilities
Delivery Management & Leadership: Manage delivery of AI engineering initiatives, ensuring projects are executed on time, within scope, and to high quality standards. Coordinate engineers and workstreams, resolve dependencies, and drive accountability.
Technical Leadership & Team Guidance: Lead and mentor AI engineers in architecture, design, and implementation of best practices. Set engineering standards for quality, reliability, and maintainability.
AI Solution Design & Development: Architect and develop Agentic AI applications using LLMs and SMLs for automation, reasoning, and content generation. Build distributed backend systems with Python, Fast API, Azure, Kafka, and Kubernetes.
Cross-Functional Collaboration: Partner with Technical Product Owners, Technical Program Managers, and Platform Engineering to define scope, success metrics, and optimize infrastructure and performance.
Innovation & Strategic Thinking: Stay current on advancements in LLMs, SMLs, RAG, and Agentic AI frameworks. Experiment with OpenAI and Azure AI tools and promote technical innovation balanced with predictable delivery.
Productionization & Lifecycle Management: Lead productionization of AI application, ensuring reliability, observability, and lifecycle management of deployed solutions.
Qualifications
Education & Experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a closely related field-or equivalent practical experience. Minimum of 7 years in software or AI engineering, with at least 2 years in technical leadership or architectural roles, demonstrating a proven track record of delivering complex solutions.
Delivery Management Expertise: Demonstrated success managing end-to-end delivery for engineering teams or overseeing multi-stream technical projects, ensuring timely execution, high standards, and effective coordination across stakeholders.
Technical Proficiency: Deep expertise in designing and implementing distributed systems, microservices architectures, and event-driven solutions. Hands-on experience with production-grade AI systems leveraging Large Language Models (LLMs) and Small Language Models (SMLs).
Technology Stack Mastery: Advanced proficiency in Python, FastAPI, and Azure Cloud. Skilled in deploying and orchestrating solutions with Docker and Kubernetes. Familiarity with LangChain, LangGraph, vector databases, and Retrieval-Augmented Generation (RAG) pipelines.
DevOps & Observability: Strong understanding of CI/CD pipelines, monitoring, logging, and tracing using tools like Datadog. Experienced with modern DevOps best practices to ensure system reliability and maintainability.
Additional Competencies: Working knowledge of OpenAI APIs and the Azure ecosystem, including Cosmos DB, AI Search, and Cognitive Services. Familiarity with front-end frameworks (Angular, React) and principles of UI/UX design, enabling seamless integration of intelligent backends with web applications. Exceptional communication, collaboration, and leadership abilities, with a passion for mentoring teams and driving impactful results.