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Senior Database Engineer Jobs in Kenosha, WI (NOW HIRING)

Badger Meter

Senior Engineer- Manufacturing

Racine, WI · On-site

$85K - $116K/yr

We're looking for a Senior Manufacturing Engineer who thrives on driving change, implementing ... Strong analytical skills, including experience using data and databases to drive decision-making.

AbbVie

BTS Senior Engineer, Technology I

North Chicago, IL

$100K - $138K/yr

The Sr. Engineer Technology I enables the full lifecycle of AbbVie's Digitalization of Software ... , and/or CI/CD platforms (Azure DevOps, AWS CodePipeline, or equivalent) * Ability to translate ...

AbbVie

BTS Senior Engineer, Technology I

North Chicago, IL · On-site

$100K - $138K/yr

The Sr. Engineer Technology I enables the full lifecycle of AbbVie's Digitalization of Software ... , and/or CI/CD platforms (Azure DevOps, AWS CodePipeline, or equivalent) * Ability to translate ...

Tror AI for everyone

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy ... Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ...

TEKsystems

Sr. ServiceNow Developer

North Chicago, IL

$65 - $75/hr

Description We are seeking an experienced ServiceNow Senior Developer to support a strategic ... Configure workflows and automation supporting future-state processes. CMDB & Data Management ...

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Showing results 21-40

All JobsDatabase Engineer JobsSenior Database Engineer JobsSenior Database Engineer Jobs in Kenosha, WI

Senior Database Engineer information

See Kenosha, WI salary details

$79K

$123.2K

$170.7K

How much do senior database engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior database engineer in Kenosha, WI is $123,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $140,500.00 per year, depending on experience, location, and employer.

What is a senior database engineer?

A Senior Database Engineer is an experienced IT professional responsible for designing, implementing, maintaining, and optimizing database systems within an organization. They ensure databases are secure, reliable, and perform efficiently to meet business needs. Senior Database Engineers often lead projects, mentor junior staff, and collaborate with developers and system administrators to support data-driven applications. Their expertise is crucial for data integrity, scalability, and disaster recovery planning.

What are the key skills and qualifications needed to thrive as a senior database engineer, and why are they important?

A Senior Database Engineer needs advanced knowledge of database architecture, SQL, performance tuning, and a degree in computer science or a related field. Expertise in tools like Oracle, MySQL, PostgreSQL, database clustering, and relevant certifications such as Microsoft Certified: Azure Database Administrator Associate are typical requirements. Strong problem-solving, analytical thinking, and effective communication skills help them excel in managing complex data environments and collaborating with development teams. These capabilities are crucial for ensuring robust, scalable, and secure data solutions that meet organizational needs.

What are some common challenges senior database engineers face when managing large-scale databases, and how are they typically addressed?

Senior Database Engineers often encounter challenges such as ensuring database performance under heavy loads, maintaining data integrity during migrations, and optimizing queries for efficiency. Addressing these issues usually involves proactive monitoring, implementing indexing strategies, and collaborating closely with development teams to design scalable database schemas. Regularly updating skills to keep up with new database technologies and security best practices is also essential for tackling these challenges effectively.

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

AspectSenior Database EngineerDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systemsMaintaining, backing up, and securing databases
Skills & CertificationsSQL, database architecture, performance tuning, certifications like Oracle or Microsoft SQL ServerDatabase management, backup/recovery, security, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentDevelopment teams, data engineering projects, system designOperational teams, system maintenance, troubleshooting
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise IT, government, and large organizations for database upkeep

While both roles work closely with databases, a Senior Database Engineer primarily focuses on designing and optimizing database systems, whereas a Database Administrator handles daily maintenance, security, and backups. The roles complement each other but differ in scope and responsibilities.

What cities near Kenosha, WI are hiring for Senior Database Engineer jobs?

Cities near Kenosha, WI with the most Senior Database Engineer job openings:

Senior Database Engineer jobs near you
Infographic showing various Senior Database Engineer job openings in Kenosha, WI as of June 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $123,235 per year, or $59.2 per hour.

Senior AI Developer - Mettawa, IL (Onsite)

Tror AI for everyone

Mettawa, IL • On-site

$62.50 - $82.50/hr

Contractor

Re-posted 10 days ago

Job description

Role: Senior AI Developer

Location: Mettawa, IL (Onsite)

Duration: Long Term Contract

Experience: 12 - 15 Years

This role requires deep expertise in AI/ML, Neo4j, GraphRAG and GenAI.

Job Description:  

Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be instrumental in developing high-impact applications, with a specific focus on implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate, contextually enriched, and trustworthy AI outputs grounded in enterprise data.

 Key Responsibilities

  • Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
  • Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured).
  • GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
  • Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
  • Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
  • Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
  • Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI. 

 

Required Skills & Qualifications

  • Experience: 12+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
  • Programming Proficiency: Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
  • Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
  • GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
  • Cloud & Infrastructure: Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
  • Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
  • Education: Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field.