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Senior Database Engineer Jobs in Eden Prairie, MN

Accenture

Google Senior Data Engineer

Minneapolis, MN · On-site

$94K - $266K/yr

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Hybrid

$108K - $146K/yr

... vector databases, document chunking, semantic retrieval, and feature preparation * 2 years of ... Data engineer, analytics engineer, platform data engineer, data product engineer, or FDE with ...

Xcel Energy

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Position Summary The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery, as well as strategic ...

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... prompt engineering) and vector databases. * Experience with MLOps practices and tooling.

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

As a Senior Software Engineer , you will drive the full data engineering lifecycle and design, build, and deploy enterprise-scale data and AI-powered solutions. In this role, you will lead data ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

As a Senior Software Engineer , you will drive the full data engineering lifecycle and design, build, and deploy enterprise-scale data and AI-powered solutions. In this role, you will lead data ...

Omnicom

Senior Data Engineer

Minneapolis, MN

$110K - $150K/yr

As a senior analytics engineer, you'll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights. You ...

Omnicom

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

As a senior analytics engineer, you'll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights. You ...

The Whiteside Agency

Senior Data Engineer

Saint Paul, MN · On-site

$139K - $230K/yr

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that ...

Sovos Compliance

Senior Data Engineer

Hopkins, MN · On-site

$107K - $146K/yr

At Sovos, we're building a world-class financial data platform to support a global tax compliance leader - and the Senior Data Engineer is the foundation it all runs on. In this role, you'll own the ...

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Showing results 21-40

All JobsDatabase Engineer JobsSenior Database Engineer JobsSenior Database Engineer Jobs in Eden Prairie, MN

Senior Database Engineer information

See Eden Prairie, MN salary details

$82.6K

$128.8K

$178.4K

How much do senior database engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior database engineer in Eden Prairie, MN is $128,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $146,800.00 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 Eden Prairie, MN are hiring for Senior Database Engineer jobs?

Cities near Eden Prairie, MN with the most Senior Database Engineer job openings:

Senior Database Engineer jobs near you
Infographic showing various Senior Database Engineer job openings in Eden Prairie, MN as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $128,799 per year, or $61.9 per hour.

Senior AI Engineer - Agentic Systems & Data Pipelines

Collaboration.Ai

Minneapolis, MN • On-site, Remote

$110K - $150K/yr

Full-time

Posted 22 days ago

Job description

Who We Are
Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change.
Our Products
NetworkOS - NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward.
CrowdVector - CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements.
To learn more about us, visit collaboration.ai.
About the Role
You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge.
This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory - for customers in defense, healthcare, and regulated enterprise.
Agents in production. Pipelines that hold. Evals that keep everyone honest.
This opportunity is remote with a preference for candidates in the Twin Cities area (Minneapolis, Saint Paul); however all candidates are encouraged to apply!
What You'll Do
  • Ship production agent systems - design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence
  • Operationalize LLM quality - build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency
  • Engineer data pipelines - robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates
  • Own retrieval quality - hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression
  • Accelerate with AI - build custom MCP tools and Agent Skills that make the whole engineering team measurably faster
  • Execute alongside the team - pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code
Our Tech Stack
  • Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary)
  • AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others)
  • Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards
  • LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock
  • Search & Retrieval: Vector databases, OpenSearch, embedding models
  • Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed
  • Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability
What We're Looking For
Must Haves
  • 7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering
  • Production agentic/LLM application experience - built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows
  • Data engineering background - robust, scalable pipelines for AI/ML workloads
  • LLM operations experience - evals and observability for production LLM systems (quality, cost, latency)
  • Production retrieval experience - vector databases and/or search engines (OpenSearch, Elasticsearch)
  • Modern Python stack proficiency - FastAPI, Pydantic, async/await, modern dependency management
  • AI-native workflows - demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development
  • Experience with Docker, Kubernetes, and AWS
  • US citizenship required (DoD contracting - IL4/IL5 environments - and FedRAMP compliance)
Nice-to-Haves
  • Deep agentic ecosystem experience - Agent Skills standards, custom MCP servers, agent SDKs across major vendors
  • Advanced RAG expertise - GraphRAG, agentic RAG, contextual retrieval, reranking strategies
  • Graph data experience - knowledge graphs, graph databases, or graph-based retrieval
  • Model selection & rightsizing - matching models to domain-specific use cases across quality, cost, and latency tradeoffs
  • Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates
  • Research background, open-source contributions, or an advanced degree in ML/IR/NLP
Why Join Collaboration AI?
Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents - with the autonomy to shape how it's built.
AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily - you'll both use and build them.
Work that matters. Defense, healthcare, and regulated industries - SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust.
Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here.

Apply