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4 results for Data Engineer in West Des Moines, IA

Data Engineer/Modeler
  • West Des Moines, IA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Engineer/Modeler to join a long-term contract opportunity in West Des Moines, Iowa. This position focuses on shaping enterprise semantic models and ontology frameworks that make business information consistent, governed, and usable across analytics, reporting, AI, and advanced data initiatives. The ideal candidate will combine strong data modeling expertise with hands-on semantic and knowledge graph experience, along with a solid understanding of insurance data domains. Working closely with technical teams and business partners, this role will help create a trusted data foundation that supports enterprise decision-making.<br><br>Responsibilities:<br>• Build and enhance enterprise ontologies, semantic structures, taxonomies, and knowledge graph models to represent core business concepts in a machine-readable format.<br>• Define entities, attributes, hierarchies, relationships, business rules, and performance metrics across multiple data domains to support a consistent semantic layer.<br>• Develop models for insurance-focused subject areas such as policy, claims, underwriting, customer, product, sales, and producer or agency data.<br>• Translate logic captured in reports, dashboards, operational workflows, stored procedures, and stakeholder knowledge into governed semantic and data models.<br>• Apply both business-led and source-system-driven modeling approaches to align conceptual designs with underlying data structures.<br>• Assess and improve AI-assisted ontology outputs to ensure semantic accuracy, usability, and alignment with enterprise standards.<br>• Connect ontology concepts to physical source systems and confirm model integrity against trusted systems of record.<br>• Manage model promotion and version control across development, testing, and production environments using Git and established release practices.<br>• Partner with architects, engineers, BI teams, analysts, and business stakeholders to deliver scalable semantic solutions and support governance, lineage, metadata, and data quality efforts.
  • 2026-09-18T00:00:00Z
Principal Data Engineer
  • Des Moines, IA
  • remote
  • Permanent / Full Time
  • 180000 - 225000 USD / Yearly
  • Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.<br><br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
  • 2026-09-23T00:00:00Z
Principal Data Engineer
  • Des Moines, IA
  • remote
  • Permanent / Full Time
  • 225000 - 300000 USD / Yearly
  • Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $225,000 - 300,000 base plus bonus potential<br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
  • 2026-09-23T00:00:00Z
MS SQL Database Administrator
  • West Des Moines, IA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Microsoft SQL Database Administrator to support enterprise database operations in West Des Moines, Iowa. This long-term contract position focuses on maintaining secure, stable, and high-performing database platforms within a regulated insurance environment. The role works closely with application, infrastructure, cybersecurity, and data teams to strengthen reliability, protect data integrity, and improve day-to-day database operations.<br><br>Responsibilities:<br>• Administer and support enterprise database platforms by handling installation, configuration, and ongoing maintenance activities.<br>• Monitor database availability, system health, and performance trends to help ensure dependable production operations.<br>• Investigate operational issues, identify root causes, and restore database services with minimal disruption.<br>• Optimize queries, configurations, and resource usage to improve overall database efficiency and responsiveness.<br>• Establish and manage backup, restore, and recovery procedures to protect business-critical data.<br>• Maintain high-availability and disaster recovery capabilities to support resilience and business continuity objectives.<br>• Manage database access by maintaining security settings, permissions, and user provisioning in accordance with governance standards.<br>• Perform upgrades, patching, and routine maintenance while reducing operational risk across environments.<br>• Automate recurring administrative tasks using scripting and standardized processes to improve efficiency.<br>• Collaborate with technical teams on database migrations, environment refreshes, capacity planning, and operational documentation.
  • 2026-10-08T00:00:00Z