122 Results for Cloud Computing Analyst Jobs

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IT Analyst/Developer

Marysville Nt, OH
onsite
Temporary / Contract
55 - 65 USD / Hourly
We are looking for an IT Analyst/Developer to support and advance enterprise platform initiatives for an automotive organization in Marysville, Ohio. This Long-term Contract position focuses on leading enhancements within the Dassault Systèmes 3DEXPERIENCE environment, partnering with business teams, technical resources, and external vendors to deliver dependable solutions. The role is primarily onsite four days per week and is well suited for someone who combines strong technical understanding with disciplined project coordination. Responsibilities: • Drive enhancement initiatives within the Dassault Systèmes 3DEXPERIENCE platform by organizing scope, schedules, and cross-functional execution activities. • Collaborate with business stakeholders to define needs, translate objectives into clear requirements, and align delivery plans with operational priorities. • Oversee project progress across multiple platform environments, ensuring development, validation, and release activities remain on track. • Coordinate testing efforts, monitor defects, and guide issue remediation to support stable and timely deployments. • Provide consistent communication to stakeholders through project updates, status reporting, and risk escalation when needed. • Partner with internal technical teams and third-party vendors to implement new capabilities that satisfy agreed business outcomes. • Manage deployment readiness by tracking dependencies, confirming deliverables, and supporting smooth production rollout activities. • Facilitate resolution of project obstacles by identifying risks early and driving action plans with the appropriate teams.
2026-09-30T00:00:00Z

Desktop Support /Service Desk Analyst Cloud IT Support - FTE

Des Moines, IA
onsite
Permanent / Full Time
65000 - 75000 USD / Yearly
TITLE: CLOUD IT SUPPORT SPECIALIST – TIER 1 – 3 - WORK EASTERN TIME ZONE HOURS. IMMEDIATE HIRE! IMMEDIATE INTERVIEW!LOCATION: 100% REMOTE OR HYBRID MUST BE A US CITIZEN / GREEN CARD HOLDER – NO H1B visa, No F1 No OPT status.Direct Hire PERM up to $75K PLUS OVERTIME + BENEFITS!At least 2 years of PROFESSIONAL experience. College experience only won’t be considered.PERKS: Company is migrating to the CLOUD! HUGE OPPORTUNITY TO GAIN CLOUD EXPERIENCEDo you love helping others & solving tech challenges?Are you an IT Support Analyst who thrives on delivering exceptional IT support?We're searching for a dedicated Cloud Help Desk Specialist ready for a long-term role with a Mid company focused on Help Desk, Break/Fix, & Desktop Support!WHITE GLOVE EXECUTIVE LEVEL EXPERIENCEMUST HAVE ULTRA SHARP PROFESSIONAL COMMUNICATION!Azure, Intune, M365/ O365Only apply if you have positive attitudes, strong work ethics, and someone with the patience to make technology approachable for everyone with non-technical, high work volume users!What You Will Do:Your day-to-day will include:<ul><li>Tier 1 – Tier 3, + Desktop Support, hand holding a User Base in a small 3 person team as primary Help Desk Support</li><li>MUST HAVE ULTRA SHARP PROFESSIONAL COMMUNICATION!</li><li>MUST HAVE GOOGLE WORKSPACE EXPERIENE !!</li><li>Cloud, Intune, AutoPilot, M365 / O365 / Active Directory</li><li>Mac & Windows Support</li><li>Google Workspace experience is REQUIRED</li><li>Laptop Imaging & Automation! Volume laptop rollouts</li><li>Hardware troubleshooting for desktops, laptops, printers, conference room, Zoom / Teams support</li><li>Ticketing Management System experience</li><li>Resolving High Volume of tickets</li><li>Hybrid Active Directory: Password resets, account unlocks, access management</li></ul>Must-Haves<ul><li>1+ year professional experience</li><li>MUST HAVE ULTRA SHARP PROFESSIONAL COMMUNICATION!</li><li>Tier 1 – Tier 3 Help Desk experience</li><li>Google Workspace - Google Platform support experience</li><li>Solid Hardware & Software troubleshooting skills</li><li>Citrix</li><li>M365 & Azure</li></ul>Soft Skills That Make You Stand Apart<ul><li>A problem-solver with a can-do attitude</li><li>PROFESSIONAL COMMUNICATION SKILLS !!</li></ul>If you're excited to troubleshoot, and expand your IT Support skills with a prestigious company, don't wait—apply today.This is a full-time salaried Cloud Help Desk Specialist PERM up to $75K PLUS bonus + BENEFITS!For immediate & confidential consideration for IT SUPPORT SPECIALIST, contact me directly, Carrie Danger, SVP Permanent Placement Team, Iowa Region at My Direct Office #: 515-259-6087 or Cell: 515-991-0863, and email resume CONFIDENTIALLY & directly to me. My DIRECT EMAIL address is on my LinkedIN profile. Or you can ONE CLICK APPLY.
2026-10-06T00:00:00Z

Microsoft Fabric Data & Analytics Program Lead

Middletown, PA
onsite
Temporary to Hire
85.5 - 99 USD / Hourly
We are looking for a Microsoft Fabric Data & Analytics Program Lead to guide the development of a modern enterprise analytics environment for a financial services organization in Middletown, Pennsylvania. This contract opportunity with permanent potential will lead the rollout of Microsoft Fabric as a trusted reporting and analytics platform while delivering a high-impact initial use case that demonstrates measurable business value. The role combines program leadership, platform architecture, and cross-functional collaboration to create scalable data solutions, strengthen governance, and expand internal capability across business and technology teams. Responsibilities: • Shape the overall strategy for Microsoft Fabric, including platform governance, delivery planning, adoption methods, and long-term operating practices. • Partner with leaders across finance, treasury, risk, compliance, operations, product, and technology to identify priority analytics initiatives and organize them into a value-driven roadmap. • Architect and oversee solutions across Fabric capabilities such as OneLake, lakehouses, warehouses, data pipelines, notebooks, semantic models, Power BI, real-time analytics, and AI-enabled experiences. • Direct the integration of data from Azure-based services, SharePoint, Salesforce, operational platforms, application telemetry, and approved identity or access-related sources. • Establish enterprise standards for workspace design, naming conventions, deployment processes, monitoring, lineage tracking, lifecycle administration, backup planning, and disaster recovery readiness. • Work closely with security, legal, IT, risk, and business data owners to enforce appropriate access controls, privacy safeguards, retention requirements, audit support, segregation of duties, and regulatory alignment. • Define data management practices covering ownership, stewardship, quality controls, reconciliation methods, master and reference data usage, and certification criteria for trusted reporting assets. • Lead delivery of the initial Fed Account Management analytics use case, including ingestion, transformation, reporting, dashboard development, analysis, forecasting, alerting, and future machine learning opportunities. • Manage platform performance, licensing, capacity, cost, and usage trends while recommending improvements that optimize efficiency and support sustainable growth. • Produce program documentation and communications such as milestone plans, risk logs, executive updates, training content, runbooks, data dictionaries, and knowledge transfer materials, while reporting on adoption, reliability, quality, and business value metrics.
2026-10-09T00:00:00Z

Web Analytics Specialist

Philadelphia, PA
remote
Temporary / Contract
35.625 - 41.25 USD / Hourly
We are looking for a Web Analytics Specialist to support digital measurement and insight generation for a healthcare-focused organization in Philadelphia, Pennsylvania. This Long-term Contract role is ideal for a mid-level analyst who combines strong technical capabilities with sharp business judgment, turning complex web data into clear recommendations for cross-functional partners. The person in this position will help shape how marketing, campaign, and paid media performance are measured while contributing to a collaborative, insight-driven team environment. Responsibilities: • Design, update, and optimize Power BI dashboards that give stakeholders clear visibility into website, campaign, and funnel performance. • Analyze digital behavior and marketing results to uncover trends, explain performance shifts, and translate findings into practical recommendations. • Develop meaningful measurement frameworks and introduce new KPIs that improve how online engagement and conversion activity are evaluated. • Use website analytics data to answer detailed business questions, including page-level interaction patterns and audience engagement across digital properties. • Work closely with marketing, web, data, and engineering partners to align reporting needs, improve data usability, and support informed decision-making. • Oversee recurring performance reporting while also responding to ad hoc analytical requests tied to evolving business priorities. • Manage multiple stakeholder needs at once, ensuring deadlines are met without losing focus on quality or strategic value. • Query and interpret data within Databricks and collaborate with engineering teams on data accessibility, structure, and analytics readiness. • Support analytics tagging and tracking initiatives through tools such as Tealium and contribute to reporting environments connected to layered data models, including Silver and Gold data assets.
2026-10-15T00:00:00Z

Data Analyst I

Phoenix, AZ
onsite
Temporary / Contract
20 - 24 USD / Hourly
Data Analyst ILocation: Hybrid, 4 days onsite / 1 day remote Duration: Contract with potential for full-time conversion This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements. Responsibilities:<ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
2026-10-06T00:00:00Z

Senior Desktop Support Analyst

Worcester, MA
onsite
Permanent / Full Time
75000 - 85000 USD / Yearly
We are looking for an experienced Senior Desktop Support Analyst to provide high-touch technical support in Worcester, Massachusetts. This role focuses on delivering dependable assistance to senior leaders across macOS, Windows, mobile platforms, and productivity tools while ensuring a seamless end-user experience. The ideal candidate brings strong technical judgment, effective communication skills, and the ability to navigate urgent issues in a fast-paced university environment. Responsibilities: • Provide white-glove technical assistance to executive users, with primary support for macOS devices as well as Windows systems, mobile technology, and collaboration platforms. • Take full ownership of support requests, guiding each issue from initial assessment through troubleshooting, follow-up, and final resolution. • Partner with internal technology teams and external service providers to address escalated or complex technical problems efficiently. • Prepare and support executive meetings, presentations, and other high-visibility events to help ensure technology operates without disruption. • Translate technical concepts into clear, practical guidance for users who may not have a technical background. • Build strong working relationships with senior leadership by handling sensitive matters with professionalism and discretion. • Monitor patterns in support activity, identify recurring problems, and propose improvements to enhance service quality and operational efficiency.
2026-10-19T00:00:00Z

Data Scientist/MLE

Pittsburgh, PA
onsite
Temporary / Contract
85000 - 200000 USD / Yearly
We are looking for Data Analytics, Data Science, and AI professionals interested in exploring new opportunities with organizations leveraging data to drive strategic decision-making and innovation. We are partnering with multiple companies seeking talent across analytics, machine learning, artificial intelligence, and advanced reporting functions. Location: Pittsburgh, PA (Hybrid and Onsite Opportunities Available)Compensation: $85,000 - $200,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Data Analyst</li><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>BI Developer</li><li>Data Scientist</li><li>Senior Data Scientist</li><li>Machine Learning Engineer</li><li>AI Engineer</li><li>Applied AI Engineer</li><li>AI/ML Engineer</li><li>Manager, Data & Analytics</li></ul>Responsibilities:<ul><li>Analyze large datasets to uncover trends, patterns, and actionable insights</li><li>Build dashboards, reports, and visualizations for business stakeholders</li><li>Develop predictive models, machine learning solutions, and AI-driven applications</li><li>Partner with cross-functional teams to solve complex business challenges</li><li>Evaluate and improve data quality, reporting accuracy, and analytical processes</li><li>Develop and deploy machine learning models into production environments</li><li>Communicate findings and recommendations to technical and non-technical audiences</li></ul>
2026-10-14T00:00:00Z

GCP DevOps Engineer

Charlotte, NC
remote
Permanent / Full Time
0 - 0 USD / Yearly
<ul><li>Design, deploy, and maintain cloud infrastructure within GCP using Terraform.</li><li>Develop and manage Infrastructure as Code (IaC) frameworks, modules, and deployment standards.</li><li>Build and optimize CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Cloud Build.</li><li>Administer and support containerized environments using Kubernetes (GKE) and Docker.</li><li>Implement cloud networking, IAM, security controls, monitoring, and governance best practices.</li><li>Automate operational processes, system provisioning, and environment management.</li><li>Collaborate with software engineers, data engineers, and AI teams to support cloud-native application deployments.</li><li>Support AI/ML infrastructure including Vertex AI, model deployment pipelines, vector databases, and related cloud services.</li><li>Monitor platform performance, reliability, availability, and cost optimization.</li><li>Troubleshoot infrastructure, deployment, networking, and application performance issues.</li></ul>
2026-10-19T00:00:00Z

.Net/AI Software Engineer (C#/Claude AI/Azure)

Clearwater, FL
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
We are looking for a senior-level Full Stack .Net/AI Engineer to join a manufacturing organization in Clearwater, Florida, where collaboration, initiative, and fresh ideas are genuinely encouraged. This role is ideal for someone who thrives in a fast-moving environment and enjoys building scalable software with a strong backend foundation while contributing to modern front-end experiences. You will play a key part in shaping a new processing platform and helping establish technical patterns that support long-term growth. Responsibilities: • Design, build, and enhance backend services and application logic using C# and .NET technologies for high-performance business systems. • Develop and support user-facing features with React and JavaScript, ensuring a seamless connection between front-end functionality and server-side components. • Architect and maintain secure, multi-tier cloud solutions within Azure, applying sound engineering practices for scalability, reliability, and performance. • Manage source control, deployment workflows, and delivery processes using Git, GitHub, and Azure DevOps to support efficient software releases. • Collaborate closely with cross-functional teammates to define technical solutions, review code, and contribute to a highly engaged team culture. • Apply strong web security standards and software design principles throughout the development lifecycle to produce maintainable, resilient applications. • Contribute to AI-enabled solution development by integrating Claude AI capabilities where they add value to product functionality and workflow efficiency. • Support the evolution of processing-related systems and, when applicable, bring domain insight from payroll or similar operational platforms.
2026-10-21T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
56 - 61 USD / Hourly
Data Scientist III (Supply Chain Optimization & Forecasting)Long Term ContractHybrid Philadelphia, PAPay: Available on W2OverviewWe 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.This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.Key ResponsibilitiesForecasting & Data Science<ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</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>
2026-10-21T00:00:00Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul>
2026-10-05T00:00:00Z

Power BI/NetSuite Data Analytics Engineer

Tampa, FL
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
Working as an IT professional serving FP&A group in administering and developing new tools, functionality enhancements, and departmental modification requests. This role will require strong Power BI Engineering skills, NetSuite ERP administration and quality assurance, and maintaining clean and scalable usage of Workday Adaptive Planning We are looking for a finance-savvy analytics specialist to connect business priorities with data-driven reporting and planning solutions in Tampa, Florida. This role works across Finance, Technology, and leadership teams to turn complex operational and financial information into clear insights that support planning, performance measurement, and strategic decisions. The ideal candidate brings strong experience with Power BI, enterprise financial systems, and modern analytics practices, along with the ability to communicate effectively with both technical and non-technical stakeholders. Responsibilities:• Work closely with finance leaders and cross-functional partners to gather reporting needs and translate them into practical analytics solutions.• Design and enhance Power BI dashboards and recurring reports that provide leadership with clear visibility into business and financial performance.• Build, refine, and troubleshoot data queries to pull information from enterprise platforms for analysis, validation, and reporting.• Coordinate with data engineering teams to support reliable data flows, scalable reporting structures, and consistent metric definitions.• Evaluate financial and operational results, uncover meaningful trends, and deliver actionable recommendations to decision-makers.• Support budgeting, forecasting, and planning activities by creating reporting tools and analytical outputs that improve accuracy and insight.• Develop data models and performance measures that track revenue, expenses, utilization, and other key business indicators.• Use Python and related tools to streamline manual reporting tasks and strengthen analytical automation.• Promote data quality, governance, and reporting consistency across systems used by finance and business teams.
2026-10-05T00:00:00Z

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. What You’ll Do <ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
2026-09-28T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-09-28T00:00:00Z

Data Engineer

Saddle Brook, NJ
onsite
Temporary to Hire
75 - 75 USD / Hourly
We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics. Responsibilities:• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners. 02710-0013476075
2026-10-22T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to develop and maintain scalable data pipelines and cloud-based data platforms. This role will work closely with analytics and business teams to deliver reliable, high-quality data solutions.Responsibilities<ul><li>Build and maintain ETL/ELT processes.</li><li>Develop data pipelines for structured and unstructured data.</li><li>Support enterprise data warehouse solutions.</li><li>Optimize data models and database performance.</li><li>Implement data quality and governance standards.</li><li>Collaborate with business intelligence teams.</li></ul>
2026-10-09T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
55 - 65 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-10-14T00:00:00Z

Data Engineer

Commerce, CA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
Lead Data EngineerSalary: Up to $160,000 Location:On-Site | South Los Angeles AreaEmployment Type: Full-Time Build the Foundation for Enterprise Analytics We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions. If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact. What You'll Do<ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN
2026-10-15T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
150000 - 220000 USD / Yearly
We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders. Responsibilities:• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training. For immediate consideration, apply now and direct message Reid Gormly on LinkedIn
2026-10-14T00:00:00Z

Data Engineer

Fort Lauderdale, FL
onsite
Temporary / Contract
50 - 55 USD / Hourly
We are seeking an experienced Data Engineer to architect, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and business intelligence initiatives.Responsibilities<ul><li>Design, develop, and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading structured and semi-structured data.</li><li>Build and manage scalable data pipelines using Python and SQL across cloud and warehouse environments.</li><li>Optimize data storage, query performance, and overall efficiency within modern data warehouse platforms.</li><li>Develop and maintain data models that support downstream analytics, reporting, and operational use cases.</li><li>Collaborate with business stakeholders, analysts, and engineering teams to define data requirements and translate them into technical solutions.</li><li>Implement and support data quality checks, governance standards, and monitoring processes to ensure data reliability and integrity.</li><li>Troubleshoot pipeline failures, performance bottlenecks, and data consistency issues across the data ecosystem.</li><li>Contribute to best practices in data architecture, orchestration, documentation, and deployment.</li></ul>
2026-10-22T00:00:00Z

Data Engineer

Boca Raton, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
The Data Engineer will develop and maintain scalable data pipelines and cloud-based data solutions that support analytics and business intelligence initiatives.Responsibilities<ul><li>Design and build ETL/ELT processes.</li><li>Develop data pipelines using Python and SQL.</li><li>Optimize data warehouse performance.</li><li>Work with stakeholders to gather data requirements.</li><li>Support data governance and quality initiatives.</li></ul>
2026-10-22T00:00:00Z

Data Engineer

Pittsburgh, PA
onsite
Temporary / Contract
80000 - 160000 USD / Yearly
We are looking for Data Engineering and Analytics Engineering professionals interested in exploring new opportunities with growing organizations across the Pittsburgh market. We are partnering with multiple companies that are investing in modern data platforms, cloud infrastructure, and enterprise analytics initiatives. Location: Pittsburgh, PA (Hybrid, Remote, and Onsite Opportunities Available)Compensation: $80,000 - $160,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Data Engineer</li><li>Senior Data Engineer</li><li>Analytics Engineer</li><li>Data Platform Engineer</li><li>Data Warehouse Engineer</li><li>Cloud Data Engineer</li><li>ETL/ELT Developer</li><li>Data Architect</li><li>Lead Data Engineer</li></ul>Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and data platforms</li><li>Build and optimize ETL/ELT processes supporting analytics and business operations</li><li>Develop and manage cloud-based data solutions and data warehouses</li><li>Partner with analytics, business, and technology teams to deliver trusted data products</li><li>Ensure data quality, reliability, governance, and performance across enterprise environments</li><li>Automate data workflows and support modern data engineering best practices</li><li>Support reporting, analytics, AI, and machine learning initiatives through effective data architecture</li></ul>
2026-10-14T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
115000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization. Responsibilities: • Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks. • Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas. • Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets. • Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics. • Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards. • Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design. • Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations. • Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
2026-10-21T00:00:00Z

Data Engineer

Arlington, TX
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. Responsibilities:• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities
2026-10-17T00:00:00Z

Data Engineer

Avon, MN
onsite
Permanent / Full Time
100000 - 140000 USD / Yearly
We are looking for a Data Engineer to help shape and strengthen the organization’s data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders. Responsibilities:• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications
2026-10-20T00:00:00Z

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