140 Results for Principal Data Engineer Jobs

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Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools. Key Responsibilities: <ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul>
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Jacksonville, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals. Responsibilities: • Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment. • Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring. • Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality. • Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization. • Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services. • Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack. • Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution. • Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry. • Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

West Palm Beach, FL
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency. Responsibilities: • Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies. • Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms. • Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases. • Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts. • Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks. • Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions. • Design AI-driven automation that improves workflows and streamlines day-to-day business operations. • Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph. • Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems. • Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
2026-10-02T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building production-ready AI solutions that combine agentic workflows, scalable backend engineering, and modern web application development. The ideal candidate will bring deep experience across AI system design, API development, cloud-based services, and cross-functional collaboration to deliver reliable, high-impact products. Responsibilities:• Lead full product development efforts from initial architecture through deployment and ongoing enhancement of AI-driven applications.• Design and implement advanced agentic AI systems that support reasoning, planning, memory, tool usage, and multi-step task execution.• Build, test, and maintain scalable backend services and APIs using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.• Create and support RESTful and GraphQL interfaces that connect AI capabilities with web applications, enterprise platforms, and external services.• Develop React-based user interface components and ensure smooth interaction between frontend experiences and backend systems.• Architect microservices and distributed application patterns that improve scalability, resiliency, and maintainability across production environments.• Establish evaluation, observability, and monitoring practices to measure AI system quality, reliability, latency, cost efficiency, and operational health.• Collaborate with product, design, DevOps, data science, and engineering teams to translate business goals into secure, scalable technical solutions.• Drive deployment automation, containerization, troubleshooting, and performance optimization across cloud-hosted applications and AI services.
2026-10-14T00:00:00Z

Artificial Intelligence (AI) Engineer

Brookfield, WI
onsite
Permanent / Full Time
150000 - 175000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments. Responsibilities: • Build and implement AI, machine learning, and generative AI solutions that address business and operational needs. • Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows. • Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact. • Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases. • Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences. • Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale. • Establish model deployment and support practices, including monitoring, governance, and lifecycle management. • Apply security, compliance, and responsible AI standards throughout solution design, development, and release. • Research new AI tools and technologies and recommend options that align with organizational goals. • Produce clear technical documentation covering solution architecture, workflows, and implementation details.
2026-09-28T00:00:00Z

Artificial Intelligence (AI) Engineer

Jupiter, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies. Responsibilities: • Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities. • Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency. • Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights. • Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support. • Automate recurring deliverables across finance, accounting, and operational reporting functions. • Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments. • Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes. • Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation. • Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
2026-09-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Lincolnton, NC
remote
Temporary / Contract
71.25 - 82.5 USD / Hourly
AI/LLM Engineer / Solutions Architect - no 3rd parties, no C2C - no must be eligible to work in the U.S. - Remote with 2 weeks onsite to onboard We are looking for an Artificial Intelligence (AI) Engineer to lead practical AI development efforts for a manufacturing organization in Lincolnton, North Carolina. This Long-term Contract position will focus on creating production-ready automation tools and intelligent workflows that improve decision-making, streamline operations, and uncover business insights from enterprise data. The role is best suited for someone who can translate complex operational needs into scalable AI solutions while partnering closely with cross-functional teams such as Finance and Sales. Responsibilities: • Design and deploy AI-powered applications that automate recurring operational activities and improve workflow efficiency across the business. • Build intelligent solutions that analyze enterprise and operational data to identify trends, risks, and opportunities that support growth and performance. • Create tools that provide visibility into customer purchasing behavior, inventory conditions, material planning, and seasonal business patterns. • Develop AI-driven capabilities that help teams investigate operational issues, uncover contributing factors, and support faster resolution. • Integrate AI models and services with existing business platforms, data sources, and external systems through APIs and structured pipelines. • Partner with stakeholders in Finance, Sales, and other functional areas to define use cases, prioritize deliverables, and align solutions with business goals. • Establish practical standards for AI implementation, including solution scope, governance, and responsible deployment practices. • Produce market intelligence solutions that monitor external signals such as public-sector funding activity, bid opportunities, and competitor developments. • Participate in early onsite collaboration to understand the manufacturing environment, team workflows, and operational priorities before broader delivery begins.
2026-09-25T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions. Responsibilities:• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.
2026-09-18T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
56 - 61 USD / Hourly
Data Scientist III (Supply Chain Optimization & Forecasting)Long Term Contract Hybrid Philadelphia, PA Pay: Available on W2 OverviewWe are seeking an experienced Data Scientist III to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.The ideal candidate brings a strong blend of data science, mathematical optimization, forecasting, and supply chain expertise, with experience developing and operationalizing scalable models that drive measurable business outcomes.Key ResponsibilitiesForecasting & Data Science<ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build solutions for demand sensing, anomaly detection, predictive analytics, and forecast improvement.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li><li>Design and implement end-to-end data science pipelines, including data preparation, deployment, monitoring, and continuous improvement.</li><li>Evaluate model performance using forecasting and business metrics such as forecast accuracy, bias, attainment, and error measurements.</li><li>Partner with cross-functional teams to scale and productionize advanced analytics solutions.</li></ul>Inventory Optimization & MEIO<ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul>Optimization Engineering<ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul>Data Engineering & Operationalization<ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
2026-10-16T00:00:00Z

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-10-16T00:00:00Z

Business Intelligence (BI) Engineer

Los Angeles, CA
onsite
Permanent / Full Time
150000 - 180000 USD / Yearly
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams. Responsibilities: • Design and maintain semantic models that support reporting needs across operational and executive audiences. • Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance. • Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs. • Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers. • Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment. • Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery. • Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust. • Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
2026-10-07T00:00:00Z

Cloud Engineer II

Philadelphia, PA
onsite
Temporary / Contract
54 - 57 USD / Hourly
Cloud Engineer IIThis Statement of Work covers a six-week Phase 0 proof-of-concept engagement. Phase 0 is intended to validate feasibility, not to deliver an enterprise-scale production service.This position will deploy an open-weight model endpoint in the client's infrastructure in AWS, connect it to OpenCode, and provide enough evidence for the client to decide whether to proceed to Phase 1.The Phase 0 business case is based on validating whether open-weight inference can work for non-Opus coding workloads, with success criteria including model quality, latency, throughput, end-to-end developer flow, developer satisfaction, and a go/no-go decision for the next phase. Responsibilities• Deploy and configure an AWS-hosted, open-weight coding model endpoint using client-provided infrastructure.• Configure model-serving runtime, GPU allocation, endpoint exposure, health checks, service routing, basic error logging, credential handling, and repeatable deployment artifacts.• Expose the model endpoint through an OpenAI-compatible API path capable of supporting representative coding prompts.• Configure and validate OpenCode integration with the model endpoint, including any required adapter, proxy, gateway, or compatibility layer.• Demonstrate end-to-end OpenCode-to-model request flow for representative coding-agent workflows.• Demonstrate representative coding-assistance use cases, including code completion, code explanation, unit test generation, refactoring assistance, error diagnosis, small feature implementation, tool usage, repository/file-context prompts where supported prompts and agent skills, and OpenCode/Open Spec workflows.• Collect and save basic performance data in Grafana, including time to first token, end-to-end latency, tokens per second, concurrency behavior, error rate, GPU utilization, and memory utilization.• Implement baseline observability for the POC, including logs, health checks, basic metrics, and simple dashboard or metric views where feasible.• Provide reusable deployment and configuration artifacts, such as Helm values, Kubernetes manifests, scripts, runtime configuration, gateway/proxy configuration, runbook, troubleshooting notes, and environment assumptions.• Support limited developer validation with a small client-designated pilot group if access, timing, and dependencies allow.• Support a lightweight quality comparison between the open-weight model and client's current coding-assistant experience if time and access allow.• Provide preliminary Phase 1 sizing inputs, including throughput observations, bottlenecks, latency drivers, scaling considerations, recommended AWS instance families, and remaining unknowns.• Deliver a written final report covering architecture, deployment, OpenCode integration results, functional test results, performance measurements, technical gaps, security and operational considerations, cost and scale observations, reusable artifacts, and Phase 1 readiness.• Deliver a clear Phase 1 go/no-go recommendation, including required changes, unresolved risks, and recommended next steps for AWS-based enterprise-scale implementation.• Conduct a knowledge-transfer session with stakeholders at the end of the engagement.
2026-10-05T00:00:00Z

Artificial Intelligence (AI) Solutions Engineer/ Developer

Phoenix, AZ
onsite
Temporary / Contract
95 - 110 USD / Hourly
Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.Key Responsibilities<ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul>
2026-10-13T00:00:00Z

Azure Cloud Engineer AI & Automation

Malvern, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment. Responsibilities: • Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations. • Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform. • Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support. • Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards. • Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably. • Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge. • Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow. • Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights. • Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads. • Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
2026-10-01T00:00:00Z

Database Technology Product Manager

Commerce, CA
onsite
Temporary / Contract
95 - 110 USD / Hourly
We are looking for a Database Technology Product Manager to lead the strategy, development, and launch of advanced data-driven products within a hospitality environment in California. This contract-to-permanent opportunity is ideal for an experienced product leader who can connect executive priorities with technical execution, while shaping new capabilities that turn complex customer data into meaningful business insight. The right candidate will bring a strong command of machine learning, data science, and hospitality consumer behavior, along with the presence and judgment to communicate effectively at the board level. Responsibilities: • Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement. • Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track. • Establish and grow a technical product management function focused on research and development initiatives within the organization. • Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth. • Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences. • Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans. • Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes. • Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value. • Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
2026-10-15T00:00:00Z

Data Analyst

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Analyst with strong Azure and Power BI experience to help transform business data into actionable insights. This role will work closely with stakeholders to build reporting solutions, analyze trends, and support data-driven decision-making.Responsibilities<ul><li>Develop and maintain Power BI dashboards and reports</li><li>Analyze large datasets to identify trends, patterns, and business opportunities</li><li>Create and optimize SQL queries for reporting and analytics</li><li>Support data validation and data quality initiatives</li><li>Partner with business teams to gather reporting requirements</li><li>Build and maintain data models and KPI metrics</li><li>Leverage Azure data services to access and analyze enterprise data</li></ul>
2026-10-08T00:00:00Z

Data Analyst

Westerville, OH
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Data Analyst to support revenue cycle performance through thoughtful reporting, data interpretation, and visual analytics in Westerville, Ohio. This contract opportunity with permanent potential is ideal for someone who can turn complex operational and financial data into clear recommendations that help leaders improve patient accounts outcomes. The role partners closely with analytics and revenue cycle stakeholders to build dependable reporting tools, surface performance insights, and guide informed business decisions while handling sensitive information with discretion. Responsibilities: • Evaluate revenue cycle and patient accounts data to uncover patterns, variances, and opportunities that influence operational and financial results. • Gather, clean, transform, and organize data from multiple sources to create consistent datasets for recurring analysis and reporting. • Design, update, and optimize dashboards, scorecards, and automated reports that improve visibility into key performance indicators. • Deliver ad hoc analyses for leadership, translating findings into practical recommendations that support timely decision-making. • Work with managers and business partners to investigate root causes of performance issues and quantify their impact on outcomes. • Present analytical findings through concise written summaries, visualizations, and verbal updates tailored to stakeholder needs. • Maintain clear documentation for data definitions, logic, methodologies, and reporting assets to support transparency and long-term usability. • Collaborate effectively across teams, share knowledge with colleagues, and help maintain workflow coverage when business needs require additional support.
2026-09-30T00:00:00Z

Data Analyst

Cambridge, MA
remote
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Data Analyst to join an education-focused organization in Cambridge, Massachusetts on a contract basis with the potential to become permanent. This role will help bring structure and visibility to contract and vendor information by turning fragmented data into clear, actionable insights. The person in this position will work closely with sourcing, software asset management, procurement, finance, and vendor partners to support renewal planning, vendor oversight, and operational decision-making. Responsibilities: • Consolidate contract, procurement, finance, and usage information from multiple systems into a reliable dataset that supports informed planning and reporting. • Review and cleanse vendor and contract records to improve data accuracy, consistency, and accessibility across the contract lifecycle. • Analyze upcoming renewal activity and build tracking methods that help the team manage deadlines, priorities, and follow-up actions more proactively. • Partner with sourcing leads, software asset management specialists, and vendor management stakeholders to support governance reviews and vendor segmentation efforts. • Extract and organize information from platforms such as Coupa, ServiceNow, finance applications, and spreadsheet-based workbooks for operational analysis. • Develop reports, summaries, and Excel-based analyses that highlight renewal status, spend patterns, contract risks, and vendor trends. • Support procure-to-pay and vendor lifecycle processes by identifying gaps in documentation, data alignment, and process visibility. • Collaborate with external vendors and internal business partners to validate contract details, resolve discrepancies, and improve record completeness.
2026-10-07T00:00:00Z

Data Analyst

Cambridge, MA
remote
Temporary to Hire
35.625 - 41.25 USD / Hourly
We are looking for a Data Analyst to join an education-focused organization on a contract-to-permanent basis. This role will bring structure and visibility to contract and vendor data by turning scattered information into reliable insights that support renewal planning and procurement decisions. The person in this position will work closely with sourcing, software asset management, finance, and vendor management stakeholders to improve oversight of agreements and help the team operate more proactively. This opportunity is well suited for someone who combines strong analytical ability with hands-on experience in vendor contracts, renewals, and procure-to-pay environments. Responsibilities: • Consolidate contract, procurement, finance, and usage information from multiple systems into organized datasets that support accurate tracking and reporting. • Review and cleanse existing records to improve data quality, identify gaps, and create a dependable foundation for renewal and vendor oversight activities. • Analyze upcoming contract expirations and renewal timelines to help the team prioritize actions and reduce reactive management of agreements. • Partner with sourcing leads, software asset management professionals, and vendor management stakeholders to evaluate vendor portfolios and support governance reviews. • Generate reports and spreadsheets that highlight contract status, vendor tiering, financial considerations, and lifecycle activity for decision-makers. • Extract and interpret information from platforms such as Coupa, ServiceNow, finance tools, and other contract repositories to build useful business insights. • Support vendor lifecycle and procure-to-pay analysis by identifying trends, tracking obligations, and improving visibility across active agreements. • Collaborate with internal teams and external vendors to validate contract details, resolve discrepancies, and maintain consistent records across systems.
2026-10-07T00:00:00Z

Data Analyst

New Holland, PA
onsite
Permanent / Full Time
100000 - 110000 USD / Yearly
Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. Key Responsibilities Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms. Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. Design, develop, and support operational dashboards and reporting solutions using Power BI. Assist with migration of legacy reporting processes to modern business intelligence platforms. Manage datasets, semantic models, report distributions, and reporting governance processes. Collaborate with business leaders to define reporting requirements and establish data standards. Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness. Qualifications Experience within the Property & Casualty insurance industry is required Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. 8+ years of data analytics, data operations, or business intelligence Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. Experience with Microsoft Fabric and Medallion Architecture methodologies. Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements. Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. Experience with Origami and/or DXC Assure Claims is a plus.
2026-10-15T00:00:00Z

Data Analyst

Greenville, SC
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for a Data Analyst to join our team in Greenville, South Carolina. In this role, you will combine technical expertise, analytical thinking, and team leadership to drive data-focused initiatives that support business goals. This position offers the opportunity to guide projects, collaborate with cross-functional partners, and strengthen the quality and efficiency of data solutions across the organization. Responsibilities:• Guide and support a team of technical contributors by providing mentorship, feedback, and day-to-day leadership.• Coordinate concurrent data and operational initiatives, helping set priorities and keep deliverables on track.• Work closely with developers and technical partners to address complex issues and enhance existing data solutions.• Contribute to project planning by organizing workloads, aligning timelines, and keeping stakeholders informed of progress.• Champion effective practices for database management, automation, system integrations, testing, documentation, and production support.• Identify opportunities to refine workflows, improve team standards, and increase overall operational efficiency.• Collaborate with business partners to understand requirements and translate them into practical, scalable technical outcomes.
2026-09-17T00:00:00Z

Data Analyst

Nashville, TN
onsite
Temporary / Contract
38 - 42 USD / Hourly
Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization. Key Responsibilities:<ol><li>Data Collection and Analysis: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li>Reporting: Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li>Data Validation: Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li>Data Modeling: Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li>Trend Analysis: Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li>Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li>Ad Hoc Analysis: Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol>
2026-10-14T00:00:00Z

Data Analyst

Austin, TX
onsite
Temporary / Contract
52 - 56 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a Data Analyst (contract). In this role, you will serve as a strategic partner between business stakeholders and the data platform. As well as transform complex business questions into scalable analytics solutions, enabling data-driven decision-making across multiple departments. This role is hybrid in Austin, Tx. Key Responsibilities:<ul><li>Partner with stakeholders to translate business questions into actionable analytics solutions.</li><li>Gather requirements, define KPIs, and create scalable reporting frameworks.</li><li>Design, build, and maintain analytics data models using SQL and dbt.</li><li>Develop and enhance dashboards, reports, and self-service BI solutions.</li><li>Perform data validation, testing, and quality assurance to ensure accurate reporting.</li><li>Conduct trend analysis and root-cause investigations to support business decisions.</li><li>Present insights and recommendations to technical and non-technical audiences.</li><li>Collaborate on data platform enhancements, reporting consolidation, and modernization initiatives.</li><li>Automate recurring reporting and analytics processes using Python.</li><li>Maintain documentation, data governance standards, and reporting best practices.</li><li>Support secure handling of financial, operational, customer, and employee data.</li><li>Contribute to code reviews, CI/CD processes, and continuous improvement efforts.</li></ul>
2026-10-12T00:00:00Z

Data Analyst

Diamond Bar, CA
onsite
Temporary / Contract
71.25 - 82.5 USD / Hourly
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy. Responsibilities: • Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions. • Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities. • Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information. • Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting. • Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation. • Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly. • Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements. • Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
2026-10-15T00:00:00Z

Data Analyst

Tallahassee, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.Responsibilities<ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul>Qualifications<ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul>
2026-10-15T00:00:00Z

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