Data Engineer - Marketing Analytics
Kforce, Phoenix, AZ, United States
Responsibilities
Kforce's client in Phoenix, AZ is looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics, with a focus on secure, scalable, and resilient systems. This role will focus on developing knowledgebases and agentic AI solutions that allow business users to interact with data through natural language, while ensuring reliability, scalability, and efficiency across AWS cloud infrastructure.Key Responsibilities: Design, build, and optimize data pipelines using AWS
Implement security best practices across data and AI pipelines
Develop and maintain knowledgebases and agents; Integrate structured and unstructured data sources
Design and deploy Agentic AI workflows that autonomously orchestrate multi-step data retrieval, reasoning, and response generation
Implement and support machine learning workflows in SageMaker for model training, deployment, and monitoring
Leverage AWS Bedrock to build and deploy conversational and agentic AI solutions
Ensure data lineage and quality control across all conversational and agentic AI systems
Automate orchestration, monitoring, and logging for data pipelines and conversational agents
Build and maintain CI/CD pipelines to enable secure, automated, and reliable deployments
Collaborate with analytics, product, and business teams to design solutions that improve decision-making and data democratization
Skills Master's degree in computer science, Artificial Intelligence, Software Engineering, or a closely related engineering or AI research field is required
Bachelor's degree with exceptional hands-on experience in data engineering and agentic AI may be considered on a case-by-case basis
5+ years of hands-on experience with AWS services including S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock, ECS, and API Gateway
Strong proficiency in Python for data engineering, automation, and API integration
Hands-on experience designing and implementing Agentic AI systems - including multi-agent orchestration, tool use, memory management, and autonomous task execution
Experience with agent frameworks such as AWS Bedrock Agents, Lang Chain, or similar orchestration frameworks
Strong SQL skills and familiarity with large-scale data environments
Solid understanding of ETL design, orchestration, and optimization in cloud platforms
Preferred Qualifications: Experience with LLM integration into business workflows
Familiarity with Lakehouse frameworks such as Iceberg or Delta for scalable analytics
Experience with DevOps and Infrastructure-as-Code tools such as Terraform or CloudFormation
Familiarity with front-end technologies including HTML, CSS, and React for building user-facing components
Experience with retrieval-augmented generation (RAG), embeddings, and vector databases
Exposure to emerging Agentic AI patterns such as ReAct, Plan-and-Execute, and self-correcting agent loops
Background in marketing analytics or customer intelligence use cases
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce is a professional staffing services firm offering Technology and Finance & Accounting jobs with top employers nationwide. We specialize in providing contract, contract-to-hire and direct placement opportunities, with over 50 years of experience in the staffing industry. Kforce offers many consultants comprehensive benefits depending on employment status, including medical, dental, 401(K), life insurance and disability. Our vision is to be "the firm most respected by those we serve."
Kforce's client in Phoenix, AZ is looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics, with a focus on secure, scalable, and resilient systems. This role will focus on developing knowledgebases and agentic AI solutions that allow business users to interact with data through natural language, while ensuring reliability, scalability, and efficiency across AWS cloud infrastructure.Key Responsibilities: Design, build, and optimize data pipelines using AWS
Implement security best practices across data and AI pipelines
Develop and maintain knowledgebases and agents; Integrate structured and unstructured data sources
Design and deploy Agentic AI workflows that autonomously orchestrate multi-step data retrieval, reasoning, and response generation
Implement and support machine learning workflows in SageMaker for model training, deployment, and monitoring
Leverage AWS Bedrock to build and deploy conversational and agentic AI solutions
Ensure data lineage and quality control across all conversational and agentic AI systems
Automate orchestration, monitoring, and logging for data pipelines and conversational agents
Build and maintain CI/CD pipelines to enable secure, automated, and reliable deployments
Collaborate with analytics, product, and business teams to design solutions that improve decision-making and data democratization
Skills Master's degree in computer science, Artificial Intelligence, Software Engineering, or a closely related engineering or AI research field is required
Bachelor's degree with exceptional hands-on experience in data engineering and agentic AI may be considered on a case-by-case basis
5+ years of hands-on experience with AWS services including S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock, ECS, and API Gateway
Strong proficiency in Python for data engineering, automation, and API integration
Hands-on experience designing and implementing Agentic AI systems - including multi-agent orchestration, tool use, memory management, and autonomous task execution
Experience with agent frameworks such as AWS Bedrock Agents, Lang Chain, or similar orchestration frameworks
Strong SQL skills and familiarity with large-scale data environments
Solid understanding of ETL design, orchestration, and optimization in cloud platforms
Preferred Qualifications: Experience with LLM integration into business workflows
Familiarity with Lakehouse frameworks such as Iceberg or Delta for scalable analytics
Experience with DevOps and Infrastructure-as-Code tools such as Terraform or CloudFormation
Familiarity with front-end technologies including HTML, CSS, and React for building user-facing components
Experience with retrieval-augmented generation (RAG), embeddings, and vector databases
Exposure to emerging Agentic AI patterns such as ReAct, Plan-and-Execute, and self-correcting agent loops
Background in marketing analytics or customer intelligence use cases
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce is a professional staffing services firm offering Technology and Finance & Accounting jobs with top employers nationwide. We specialize in providing contract, contract-to-hire and direct placement opportunities, with over 50 years of experience in the staffing industry. Kforce offers many consultants comprehensive benefits depending on employment status, including medical, dental, 401(K), life insurance and disability. Our vision is to be "the firm most respected by those we serve."