<p>We are looking for a Data Platform Engineer to join a 4-month contract opportunity based in Norman, Oklahoma. This role owns the storage, retention and pipeline-correctness workstream. This is data engineering, not cloud </p><p>infrastructure.</p><p><br></p><p>What they will actually do</p><p>▪ Own the storage and pipeline backlog across the ingestion and processing repositories</p><p>▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay</p><p>▪ Atomic snapshot publication with schema admission and rollback</p><p>▪ Design the historical layer on object storage so it can be queried economically and answer as-of </p><p>questions correctly — file format, partitioning, compaction, and whether the canonical layer moves </p><p>onto a managed table format</p><p>▪ Reconcile the operational database and the historical store so a point-in-time question returns one </p><p>answer rather than two</p><p>▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, </p><p>validated recovery paths</p><p>▪ Pipeline durability: idempotent runs, completeness receipts, restore testing</p><p>▪ Support production cutover in month 4 — this seat does not roll off early</p>
Position: Data Engineer<br>Location: Oskaloosa, IA / Des Moines, IA -- Onsite<br>Salary: $100,000 - $120,000 base + exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>Data Engineer<br>Shape the Future of Enterprise Analytics, AI & Data Innovation<br>Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution?<br>A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges.<br>This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes.<br>What You'll Do<br> • Design and develop scalable data models, semantic layers, and enterprise data solutions<br> • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives<br> • Develop and optimize cloud-based data pipelines and integrations<br> • Improve data governance, lineage, metadata management, and observability practices<br> • Create automated data quality and validation frameworks<br> • Implement CI/CD processes and modern DataOps best practices<br> • Optimize SQL performance across warehouses, lakehouses, and reporting environments<br> • Partner with analysts and business stakeholders to transform complex problems into actionable solutions<br> • Contribute to technical standards, mentoring, documentation, and architectural best practices<br>What We're Looking For<br>Core Qualifications<br> • Strong experience with data modeling and semantic modeling<br> • Hands-on experience with Microsoft Fabric, Azure, and Power BI<br> • Advanced SQL development and performance optimization skills<br> • Experience with Git, CI/CD, and modern data engineering practices<br> • Ability to translate business requirements into scalable technical solutions<br> • Experience developing enterprise data pipelines and analytics platforms<br> • A plus if you have data governance, data warehouse, data lake and or DBT experience.<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p>A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p>• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p>• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p>• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p>• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p>• Ensure data quality, governance, and integrity by implementing and enforcing best practices.</p>
<p>Robert Half is seeking an experienced <strong>Senior Data Engineer</strong> to support a <strong>law firm based in Seattle, Washington</strong> with the continued development and modernization of its enterprise data environment. This role will focus heavily on <strong>Databricks, dimensional modeling, PySpark, and Unity Catalog</strong>, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics.</p><p> </p><p><strong>Duration:</strong> 6-month contract</p><p><strong>Location:</strong> 100% Remote – preferred to work PST or CST</p><p><strong>Pay rate: </strong>$65-$75/hour (W2)</p><p> </p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable data pipelines and data models within <strong>Databricks</strong>.</li><li>Build and optimize <strong>dimensional data models</strong> to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using <strong>PySpark</strong>.</li><li>Ingest data from enterprise source systems, including <strong>Workday, Elite/Elite 3E, and Salesforce</strong>.</li><li>Move data through the <strong>Medallion Architecture</strong>, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize <strong>Unity Catalog</strong> to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within <strong>Power BI</strong>.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving <strong>APIs, Postman, firewall rules, and certificates</strong>.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul><p><br></p>
<p><strong>Azure Developer</strong></p><p>We are seeking a knowledgeable <strong>Azure Developer</strong> to build cloud-native applications and services using Microsoft Azure technologies. This role is ideal for someone who enjoys designing scalable solutions, working with modern cloud tools, and collaborating closely with software and cloud engineering teams. The ideal candidate will have strong development skills, deep understanding of Azure services, and a passion for cloud innovation.</p><p><strong>Responsibilities</strong></p><ul><li>Develop cloud-based applications using Azure Functions, App Services, Logic Apps, and related services</li><li>Build APIs, microservices, and serverless workloads using .NET, C#, or other Azure-supported languages</li><li>Implement Azure integrations using Service Bus, Event Hub, API Management, or Durable Functions</li><li>Create and optimize Azure DevOps pipelines for CI/CD automation</li><li>Develop Infrastructure-as-Code templates using ARM, Bicep, or Terraform</li><li>Collaborate with architects and DevOps teams to ensure scalable cloud designs</li><li>Troubleshoot application issues, performance bottlenecks, and integration problems</li><li>Monitor cloud workloads, logs, costs, and performance metrics</li><li>Maintain documentation for Azure solutions, APIs, and deployment procedures</li><li>Participate in code reviews, design sessions, and architectural discussions</li></ul><p><br></p>
<p>We are looking for a Staff Database Engineer to provide technical leadership for a global cloud data environment supporting large-scale, distributed business operations in Utah. This contract-to-hire position will focus on building and improving secure, highly available database platforms across AWS while partnering with engineering teams to strengthen performance, resilience, and scalability. The role is ideal for someone who brings deep database expertise, strong automation skills, and a practical approach to supporting modern data pipelines and enterprise applications.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing improvement of multi-region database environments across AWS to support globally distributed workloads.</p><p>• Administer and enhance a mix of relational and non-relational platforms, including Snowflake, PostgreSQL, DynamoDB, DocumentDB, Cosmos DB, and MongoDB.</p><p>• Drive database migration efforts between cloud platforms, regional deployments, and legacy environments while minimizing operational risk.</p><p>• Improve system performance through thoughtful indexing, query refinement, capacity planning, and scalable data architecture decisions.</p><p>• Strengthen availability and cost efficiency by tuning database platforms for enterprise-scale throughput, resiliency, and low-latency access.</p><p>• Support data ingestion and ETL workflows by collaborating on services and orchestration tools used across cloud-based pipeline ecosystems.</p><p>• Establish secure connectivity patterns, access controls, encryption standards, and secrets management practices for database services.</p><p>• Build and maintain backup, recovery, and disaster preparedness processes, including point-in-time restore capabilities and continuity planning.</p><p>• Expand monitoring and operational visibility using cloud and third-party observability tools, and take ownership of production incident response when needed.</p><p>• Create and maintain technical documentation such as runbooks, operational procedures, and architecture decision records to support long-term platform reliability</p>
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem.<br><br>Responsibilities:<br>• Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance.<br>• Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting.<br>• Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets.<br>• Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework.<br>• Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs.<br>• Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs.<br>• Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability.<br>• Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
<p>We are looking for an eager Linux/Unix Systems Administrator.</p><p><br></p><p>Linux and Microsoft Server Administration</p><p>Storage System (Netapp)</p><p>VMWare and Citrix XenServer Administration</p><p>Server backups</p><p>Hardware installation and maintenance (requires some lifting)</p><p>Assists HelpDesk support and departmental technical service requests</p><p>Network and Telecommunications</p><p>Assists in</p><p>The management of network devices (router, firewall, switches, etc.) administration, and reporting.</p><p>Monitoring network performance, troubleshooting, and security incident handling.</p><p>Configuration of wireless network and APs.</p><p>System logging, monitoring, and access</p><p>PBX system, handsets, voicemail, and peripherals</p><p>Keeps documentation of policies and procedures up to date</p><p>Provides backup for other ITS team members as needed</p><p>Works closely with vendor support when required</p><p>On-call schedule for responding to and resolving systems issues occurring outside of business hours</p><p>Perform other duties as assigned by the Director of IT Services</p><p><br></p><p> </p>
<p>The organization is looking for an experienced Systems Administrator with strong Linux, virtualization, and storage experience to support a primarily on prem infrastructure environment. This role maintains the reliability, availability, and security of Windows, Linux, virtual machines, and core infrastructure that supports 24/7 operations. The environment includes modern Windows Server builds, RedHat Linux, and a large VMware footprint.</p><p>________________________________________</p><p>Key Responsibilities</p><p>• Administer and support Linux (RedHat) and Windows Server environments.</p><p>• Manage virtualization platforms (VMware) across ~500 virtual machines and ~60 servers.</p><p>• Maintain and support storage technologies and related infrastructure.</p><p>• Perform system installation, configuration, troubleshooting, patching, upgrades, and performance tuning.</p><p>• Maintain hardware environments, primarily Dell server infrastructure.</p><p>• Support identity and access systems (Active Directory, Entra ID) and M365.</p><p>• Administer and support cloud services in Azure or AWS (as applicable).</p><p>• Assist with security responsibilities including SIEM, endpoint protection, vulnerability scanning, and compliance tasks.</p><p>• Create and maintain scripts (preferably from scratch) to automate tasks and improve system reliability.</p><p>• Produce and maintain documentation for processes, standards, system configurations, and inventory.</p><p>• Monitor uptime and performance using enterprise monitoring tools.</p><p>• Participate in incident response, including root cause analysis and on call rotation.</p><p>• Build and deploy software packages and support enterprise application environments.</p><p>• Collaborate with internal teams on infrastructure projects and upgrades.</p><p>_______________________________________</p>
We are looking for a Python Developer to join a collaborative engineering team in Greer, South Carolina on a contract basis with the potential for a permanent role. This role offers the opportunity to contribute to the design and development of modern software solutions that support a loan origination environment. You will work closely with experienced engineers and cross-functional partners to build scalable applications and intelligent automation capabilities. This position is well suited for someone who enjoys hands-on development, problem-solving, and creating high-quality systems from the ground up.<br><br>Responsibilities:<br>• Design, develop, and maintain Python-based applications that support core lending and origination workflows.<br>• Partner with engineers, product stakeholders, and other cross-functional team members to translate business needs into effective technical solutions.<br>• Contribute to the modernization of platform capabilities by building new services and enhancing existing application components.<br>• Create clean, efficient, and testable code while following sound software engineering and architecture practices.<br>• Support the development of automation and agent-driven functionality to improve system performance and user experience.<br>• Participate in technical discussions, code reviews, and solution design sessions with senior and peer developers.<br>• Collaborate with frontend and backend team members to deliver integrated features across the application stack.<br>• Troubleshoot application issues, identify root causes, and implement reliable fixes in a timely manner.
We are looking for a Python Developer to join a financial services organization in Plano, Texas on a contract-to-permanent basis. This opportunity is ideal for an engineer who enjoys building scalable software in a collaborative environment and contributing to high-impact lending technology initiatives. You will work alongside a cross-functional team of developers and business partners to create reliable solutions, improve platform capabilities, and help shape new technical approaches.<br><br>Responsibilities:<br>• Design, build, and enhance Python-based applications that support core lending and loan origination capabilities<br>• Partner with cross-functional teammates, including engineers and front-end developers, to deliver well-structured and maintainable software solutions<br>• Contribute to the development of new platform components and intelligent workflow features from initial design through implementation<br>• Help improve and modernize existing application architecture to support performance, scalability, and long-term maintainability<br>• Develop cloud-ready services and integrations using AWS to support secure and efficient application delivery<br>• Participate in technical discussions, code reviews, and solution planning to promote strong engineering standards across the team<br>• Translate business use cases into effective software designs and clearly communicate technical decisions to stakeholders
<p>Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery.</p><p><br></p><p>The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment.</p><p><br></p><p>What You’ll Do</p><ul><li>Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.</li><li>Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.</li><li>Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.</li><li>Help accelerate the development and deployment of the organization’s GCP data platform.</li><li>Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.</li><li>Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.</li><li>Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.</li><li>Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.</li><li>Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.</li><li>Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.</li></ul><p><br></p>
We are looking for an experienced AWS Data/Information Architect to help design and advance scalable cloud and data architecture solutions for a growing technology environment in Madison, Wisconsin. This Contract to permanent position is ideal for a senior candidate who can translate business needs into secure, resilient, and high-performing cloud-native architectures while partnering closely with engineering and leadership teams. The role focuses on modern platform design, distributed systems, automation, and data ecosystem strategy, with an emphasis on practical delivery, governance, and long-term sustainability.<br><br>Responsibilities:<br>• Lead the architecture and implementation of AWS-based data and application platforms that support scalability, reliability, and operational efficiency.<br>• Define solution patterns for cloud-native systems, including microservices, containers, and serverless components, to meet performance and integration needs.<br>• Create and maintain infrastructure automation using tools such as Terraform and CloudFormation, and strengthen delivery pipelines through CI/CD best practices.<br>• Establish architectural standards for networking, identity, observability, and security controls across containerized and distributed workloads.<br>• Design data platform frameworks that support warehousing, lake architectures, streaming workflows, and integration across enterprise systems.<br>• Partner with development, DevOps, and business stakeholders to align technical direction with strategic objectives and delivery priorities.<br>• Provide technical leadership through design reviews, documentation, mentoring, and guidance on engineering best practices.<br>• Support hybrid or multi-cloud connectivity strategies where needed, including integration with on-premise environments and enterprise platforms.