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Database Automation Engineer Jobs in Kansas (NOW HIRING)

StackAdapt

An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI ... Familiarity with database technologies (SQL and NoSQL).A creative and analytical mindset with ...

Parkson Corp.

3D CAD Automation Engineer

Shawnee, KS · On-site

$80K - $100K/yr

Experience integrating CAD automation with ERP, databases, or external applications * Knowledge of manufacturing processes and engineered-to-order products * Experience working in a regulated or ...

Empower

Engineer Automation Quality

Overland Park, KS · On-site

$72K - $101K/yr

The Engineer Automation Quality works more independently, designing, developing, and maintaining ... Hands on experience with SQL and database testing required. * Experience in using JIRA or similar ...

New

Cox Automotive

Sr Database Administrator

Overland Park, KS · On-site

$121K - $203K/yr

Develop automation using PowerShell, T-SQL, CI/CD pipelines, and Infrastructure as Code. * Support ... Collaborate with software engineering, DevOps, infrastructure, product, and security teams to ...

New

Careficient

Senior Database Administrator

Overland Park, KS · On-site +1

$46.75 - $64.50/hr

This person will work with a Director of IT and Senior Software Engineers to tune performance ... Proficiency in scripting languages, such as PowerShell or Python, is essential for automation. You ...

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

Provide technical consultation for other team members on best practices for automation, monitoring ... Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift, MongoDB ...

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Database Automation Engineer information

What is the difference between Database Automation Engineer vs Database Administrator?

AspectDatabase Automation EngineerDatabase Administrator
Primary FocusDevelops automation scripts and tools to streamline database processesManages, maintains, and secures databases manually
Skills & CertificationsSQL, scripting, automation tools, certifications like Oracle or Microsoft SQL ServerDatabase management, backup, recovery, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentOften works in DevOps, software development, or IT automation teamsTypically in IT operations, data management teams

While both roles require strong SQL knowledge and certifications, the Database Automation Engineer focuses on creating automated solutions to improve database efficiency, whereas the Database Administrator handles the day-to-day management and security of databases. Understanding these differences helps organizations assign the right skills to optimize database performance and reliability.

What are Database Automation Engineers?

Database Automation Engineers are IT professionals who design, implement, and manage automated processes to streamline database operations. Their primary goal is to reduce manual intervention by leveraging scripting, tools, and technologies such as DevOps pipelines, configuration management, and monitoring solutions. They ensure databases are efficiently deployed, maintained, and monitored for performance and reliability, often collaborating with database administrators and development teams. This role requires a strong understanding of database systems, automation tools, and programming languages.

What are the key skills and qualifications needed to thrive as a Database Automation Engineer, and why are they important?

To thrive as a Database Automation Engineer, you need expertise in database management, scripting languages (such as Python or PowerShell), and a solid understanding of automation processes, often supported by a degree in computer science or a related field. Familiarity with database platforms (like MySQL, SQL Server, or Oracle), automation tools (such as Ansible or Jenkins), and certifications like Microsoft Certified: Azure Database Administrator Associate are typically beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for ensuring efficient, reliable, and scalable database operations in complex, data-driven environments.

How does a Database Automation Engineer typically collaborate with development and operations teams?

Database Automation Engineers work closely with both development and operations teams to streamline database deployment, management, and monitoring. They often design automated workflows for database provisioning, backups, and updates, ensuring that developers have reliable access to data while minimizing downtime. Collaboration includes participating in DevOps initiatives, supporting CI/CD pipelines, and troubleshooting performance issues alongside other team members. This cross-functional teamwork helps maintain database reliability and supports rapid delivery cycles.
What are popular job titles related to Database Automation Engineer jobs in Kansas? For Database Automation Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Database Automation Engineer jobs in Kansas look for? The top searched job categories for Database Automation Engineer jobs in Kansas are:
What cities in Kansas are hiring for Database Automation Engineer jobs? Cities in Kansas with the most Database Automation Engineer job openings:
Database Automation Engineer jobs near you

Automation Engineer, Agentic Orchestration

StackAdapt

On-site, Remote

Other

Posted 15 days ago

Job description

What We're Looking For:

An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and enterprise applications. This role will leverage modern AI tools and frameworks to build sophisticated automation solutions and create and configure AI agents to handle complex, non-repetitive tasks that require reasoning, context-awareness, and interaction with multiple systems. Our ultimate goal is to design and deploy autonomous agentic systems that can independently manage and execute complex business processes with a high degree of accuracy and efficiency.

What you'll be doing:
  • Collaborate with business stakeholders to conduct in-depth analysis of existing workflows, identifying and documenting opportunities for intelligent, AI-driven automation.
  • Oversee the entire lifecycle of AI agent development, from initial design and prototyping to testing, deployment, configuration, and lifecycle of AI solutions in production. 
  • Ensure AI agent development security, scalability, and reliability through ongoing monitoring and performance tuning.
  • Design and implement integration solutions to connect AI agents and models with enterprise systems such as CRMs, ERPs, and internal databases.
  • Design and implement an evaluation system that serves as a mechanism for quality control and continuous improvement.
  • Build and configure AI agents to perform tasks such as natural language understanding, data extraction, decision-making, and system interactions.
  • Develop custom connectors, APIs, and middleware to facilitate data exchange and process automation between AI services and other applications.
  • Continuously explore and evaluate new AI technologies and tools to drive innovation in automation.
  • Mentor system admins and junior developers to build and configure AI Agents.
What you'll bring to the table:
  • Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI, AWS Bedrock) and hands-on experience with LLM APIs.
  • A solid understanding of business process analysis and re-engineering.
  • Solid understanding of Natural Language Processing (NLP), LLMs, and ML principles.
  • Experience with enterprise integration platforms (e.g., Workato, MuleSoft, Boomi).Experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) is a plus, but the focus is on modern AI-driven automation.
  • Hands-on experience with conversational AI platforms and frameworks for building chatbots and virtual assistants.
  • Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch).
  • A solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs.
  • Strong understanding of API design principles (REST, RPC, SSE, GraphQL) and data formats (JSON, XML).
  • Familiarity with database technologies (SQL and NoSQL).A creative and  analytical mindset with  passion for solving complex problems through automation.
  • Entrepreneurial approach, strong builder with excellent problem-solving skills and the ability to work effectively in a cross-functional team.
  • Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
 

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