<p><strong>Position</strong></p><p>Job Cost Analyst</p><p><br></p><p><strong>Company Overview</strong></p><p>A rapidly growing and well-established construction company based in Hackensack is seeking a detail-oriented <strong>Job Cost Analyst</strong> to join its expanding finance team. This is a newly created opportunity created due to dramatic growth within the company.</p><p><br></p><p><strong>Position Summary</strong></p><p>The Job Cost Analyst will play a critical role in tracking, analyzing, and reporting project costs to ensure accurate financial performance across multiple construction projects. This individual will work closely with project managers, accounting, and operations to monitor budgets, identify variances, and drive cost control initiatives.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Monitor and maintain job cost reports for multiple active construction projects</li><li>Analyze project budgets vs. actual costs and provide variance analysis</li><li>Partner with Project Managers to review project financial performance and forecast costs to completion</li><li>Track committed costs, subcontractor agreements, and change orders</li><li>Prepare monthly WIP (Work-in-Progress) schedules</li><li>Assist with revenue recognition and percentage-of-completion accounting</li><li>Identify cost overruns, risks, and opportunities for improved profitability</li><li>Support project billings, AR/collections, and reconciliation of job accounts</li><li>Maintain integrity of job cost data within ERP/accounting systems</li></ul><p><strong>Salary:</strong> up to $125,000</p><p><br></p><p><strong>Compensation & Benefits</strong></p><ul><li>Competitive base salary (commensurate with experience)</li><li>Performance-based bonus potential and employer funded profit sharing plan. </li><li>Comprehensive benefits package (health, dental, vision)</li><li>401(k) with company match</li><li>Strong growth opportunity within a fast-scaling organization</li></ul><p><br></p><p><br></p>
<p><strong>Job Title</strong></p><p>Senior Change Management Analyst</p><p><br></p><p><strong>Company Overview</strong></p><p>Join a leading organization in the arts, nonprofit, and cultural sector that is dedicated to preserving knowledge, fostering innovation, and enhancing digital experiences for employees and customers alike. Based in Los Angeles, California, the organization is investing in transformative technology initiatives that improve collaboration, operational efficiency, and user engagement across the enterprise. This is an opportunity to contribute to meaningful change within a mission-driven environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>We are seeking an experienced Senior Change Management Analyst to support large-scale digital transformation and business modernization initiatives. This role will serve as a key member of a growing change management function, partnering with project teams, business leaders, and stakeholders to drive successful adoption of new processes, technologies, and ways of working. Based in Los Angeles, CA, the position offers the opportunity to influence enterprise-wide change and enhance organizational readiness across strategic initiatives.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and execute change management strategies that support successful adoption of business and technology initiatives.</li><li>Conduct stakeholder assessments, impact analyses, and organizational readiness evaluations.</li><li>Create and deliver communication, engagement, and training plans that support project objectives.</li><li>Identify change-related risks and develop mitigation strategies to increase adoption and minimize resistance.</li><li>Partner with project managers and business leaders to integrate change management activities into project plans.</li><li>Facilitate stakeholder engagement efforts and build alignment across multiple groups.</li><li>Track adoption metrics, monitor change progress, and provide actionable recommendations.</li><li>Support and coach project teams, sponsors, and business leaders throughout the change lifecycle.</li><li>Develop communication materials, reports, presentations, and training resources.</li><li>Mentor junior team members and contribute to continuous improvement of change management practices.</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>Salary range: $85,000 – $113,000.</li><li>Comprehensive medical, dental, and vision coverage.</li><li>Retirement savings programs with employer contributions.</li><li>Professional development and educational assistance opportunities.</li><li>Generous paid time off and paid holidays.</li><li>Wellness and employee engagement programs.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work Model: Hybrid 3x onsite.</li><li>Full-time, limited-term position lasting approximately three years.</li><li>High-visibility role supporting multiple strategic transformation initiatives.</li><li>Opportunity to work across business, operations, and technology functions.</li><li>Collaborative, mission-driven environment focused on innovation and continuous improvement.</li></ul>
<p>We are seeking a Power BI Analyst to support reporting, dashboard development, data analysis, and process improvement initiatives. This person will be responsible for gathering business requirements, building and maintaining Power BI dashboards, creating SQL-based reports, analyzing data trends, and helping stakeholders make informed business decisions.</p><p>The ideal candidate will be comfortable working with data from multiple sources, translating business needs into clear reporting solutions, and partnering with both technical and non-technical teams. This role will also support automation and workflow improvements using low-code platforms and other business tools to streamline reporting and operational processes.</p>
We are looking for a Help Desk Analyst I to provide dependable technical support for end users in Connersville, Indiana. This Long-term Contract position is ideal for someone with at least 1 year of experience assisting with Windows-based environments, user account support, and everyday technical issues. The person in this role will handle incoming service requests, resolve routine hardware and software concerns, and help maintain a smooth support experience across the organization.<br><br>Responsibilities:<br>• Respond to user support requests and deliver timely assistance for common desktop, software, and access-related issues.<br>• Diagnose and resolve routine problems involving Microsoft Windows and Windows 10 systems, escalating more complex incidents when needed.<br>• Manage service desk tickets by documenting issues accurately, tracking progress, and ensuring requests are closed appropriately.<br>• Support user account administration tasks in Active Directory, including access updates, password-related assistance, and basic account maintenance.<br>• Provide clear guidance to employees on troubleshooting steps, system usage, and standard technical procedures.<br>• Maintain organized records of reported issues, solutions provided, and follow-up actions to support consistent service delivery.
We are looking for an EMR Analyst to support and enhance eClinicalWorks operations for a healthcare organization in San Antonio, Texas. This role focuses on troubleshooting application issues, improving workflows, and translating business needs into practical system solutions. The ideal candidate brings strong experience with eClinicalWorks, works effectively with technical and operational teams, and communicates clearly through documentation, training, and end-user support.<br><br>Responsibilities:<br>• Investigate application issues reported by eClinicalWorks users, identify root causes, and recommend effective corrective actions to improve system performance and usability.<br>• Gather business needs from stakeholders and convert them into clear requirements, user stories, process maps, and proposed system enhancements.<br>• Track implementation and support activities, address obstacles, share status updates, and suggest next steps to keep projects moving forward.<br>• Create, update, and maintain user guides, knowledge resources, and support documentation to help end users work efficiently within the system.<br>• Deliver help desk assistance and user training, ensuring questions are handled promptly and staff are confident using eClinicalWorks tools and workflows.<br>• Support functional areas across the eClinicalWorks platform by coordinating with internal teams, IT partners, and business stakeholders on day-to-day needs and improvements.<br>• Record support requests accurately in the ServiceDesk ticketing system and contribute to consistent documentation practices across the team.<br>• Assist with additional assignments as needed to support EMR operations, process improvements, and related project objectives.
<p>Join a well-established finance organization with a strong reputation for delivering flexible solutions to businesses across a wide range of industries. Known for its collaborative culture and long-term client partnerships, this growing firm is committed to supporting business expansion through innovative financing strategies and exceptional financial expertise.</p><p><br></p><p>Our client is currently looking for a Capital Markets Analyst to join their Corporate Finance team. This is an excellent opportunity for a finance professional who enjoys working on complex transactions, financial modeling, and strategic initiatives, in a fast-paced, collaborative environment. The role offers significant exposure to senior leadership while supporting the firm's financing strategy and long-term growth.</p><p><br></p><p>Responsibilities:</p><p>· Support capital raising initiatives throughout the transaction lifecycle</p><p>· Prepare investor presentations, marketing materials, and company presentations</p><p>· Assist with financial modeling, valuation analysis, forecasting, and capital structure analysis</p><p>· Coordinate due diligence requests and manage transaction documentation</p><p>· Assist with strategic planning and corporate finance initiatives</p><p>· Help maintain relationships with financing partners, investors, and other key stakeholders</p><p>· Contribute to budgeting, forecasting, treasury, and other ad hoc financial projects </p><p><br></p><p>For immediate consideration please contact Alex.Muzaurieta@roberthalf.</p>
<p><em>The salary range for this position is $100,000-$121,000 plus bonus, and it comes with benefits, including medical, vision, dental, life, and disability insurance. To apply to this remote role please send your resume to [email protected].</em></p><p><br></p><p>Fast-Track Career Advancement Opportunity (This position is expected to advance quickly within the company over the next few months.)</p><p><br></p><p><strong><u>ESSENTIAL FUNCTIONS & RESPONSIBILITIES:</u></strong></p><p><strong> </strong></p><p>· Lead the Internal Audit data analytics function, serving as the primary point of expertise for data analytics, automation, AI-enabled solutions, and continuous auditing within the department.</p><p>· Apply a data-driven mindset to build, enhance, and execute Internal Audit data solutions that deliver advanced audit capabilities, including automation, continuous auditing, and data analytics.</p><p>· Lead and oversee data analytics initiatives supporting audit, SOX, and risk projects, leveraging advanced analytical techniques to enhance audit procedures, expand coverage, and identify risks.</p><p>· Design and execute data-driven testing of key controls across in-scope processes, systems, and programs, elevating levels of assurance, consistency, and audit efficiency.</p><p>· Develop and implement AI-enabled and advanced analytics solutions using available tools to support audit teams and audit operations.</p><p>· Drive automation across audit, SOX, and risk activities, unlocking efficiencies and improving the quality and scalability of testing and analysis.</p><p>· Develop and enhance continuous auditing capabilities, including dashboards and monitoring solutions that provide timely control and business insights to support management action.</p><p>· Serve as a data champion within Internal Audit by elevating awareness of appropriate, effective, and responsible uses of data in assurance and advisory work.</p><p>· Collaborate closely with audit teams to integrate analytics into audit planning, execution, and reporting activities.</p><p>· Build and maintain strong relationships with key data leaders, system owners, and data custodians to enable timely and reliable access to data required for audit and risk initiatives.</p><p>· Leverage enterprise systems such as Workday, JD Edwards (JDE), Salesforce, and other core platforms as key data sources to support audit analytics, continuous auditing, and data-driven control testing.</p><p>· Use existing data sources and structures to provide more quantitative, evidence-based assessments of key risks, controls, and audit conclusions.</p>
<p><strong>About the Role</strong></p><p>We are seeking a detail‑oriented <strong>Financial Analyst</strong> to join our team on a <strong>contract basis</strong>. The ideal candidate will bring strong analytical skills, business acumen, and the ability to quickly step in and support critical financial initiatives in a fast‑paced environment. This role will support budgeting, forecasting, and financial analysis, helping drive data‑driven decision‑making and ensuring accurate financial insights.</p><p> </p><p><strong>Key Responsibilities</strong></p><p>• Prepare and analyze financial reports, including variance analysis and performance metrics.</p><p>• Support budgeting and forecasting processes, including data gathering and modeling.</p><p>• Analyze trends in revenue, expenses, and operational performance.</p><p>• Build and maintain financial models to support strategic and operational decisions.</p><p>• Partner with business units to provide insights and improve financial performance.</p><p>• Assist with month‑end close by providing analytical support and reporting.</p><p>• Develop dashboards and reports to track key business metrics.</p><p>• Identify opportunities for process improvements and enhanced reporting efficiencies.</p>
<p><strong>About the Role</strong></p><p>We are seeking a detail‑oriented <strong>Financial Analyst</strong> to join our team on a <strong>contract basis</strong>. The ideal candidate will bring strong analytical skills, business acumen, and the ability to quickly step in and support critical financial initiatives in a fast‑paced environment. This role will support budgeting, forecasting, and financial analysis, helping drive data‑driven decision‑making and ensuring accurate financial insights.</p><p> </p><p><strong>Key Responsibilities</strong></p><p>• Prepare and analyze financial reports, including variance analysis and performance metrics.</p><p>• Support budgeting and forecasting processes, including data gathering and modeling.</p><p>• Analyze trends in revenue, expenses, and operational performance.</p><p>• Build and maintain financial models to support strategic and operational decisions.</p><p>• Partner with business units to provide insights and improve financial performance.</p><p>• Assist with month‑end close by providing analytical support and reporting.</p><p>• Develop dashboards and reports to track key business metrics.</p><p>• Identify opportunities for process improvements and enhanced reporting efficiencies.</p>
<p><strong>About the Role</strong></p><p>We are seeking a detail‑oriented <strong>Financial Analyst</strong> to join our team on a <strong>contract basis</strong>. The ideal candidate will bring strong analytical skills, business acumen, and the ability to quickly step in and support critical financial initiatives in a fast‑paced environment. This role will support budgeting, forecasting, and financial analysis, helping drive data‑driven decision‑making and ensuring accurate financial insights.</p><p> </p><p><strong>Key Responsibilities</strong></p><p>• Prepare and analyze financial reports, including variance analysis and performance metrics.</p><p>• Support budgeting and forecasting processes, including data gathering and modeling.</p><p>• Analyze trends in revenue, expenses, and operational performance.</p><p>• Build and maintain financial models to support strategic and operational decisions.</p><p>• Partner with business units to provide insights and improve financial performance.</p><p>• Assist with month‑end close by providing analytical support and reporting.</p><p>• Develop dashboards and reports to track key business metrics.</p><p>• Identify opportunities for process improvements and enhanced reporting efficiencies.</p>
<p>We are seeking a Data Engineer to join the Enterprise Applications team with a Higher Education client. This role is responsible for designing, building, and maintaining systems for collecting, storing, integrating, and analyzing data from multiple sources across the organization.</p><p><br></p><p>The Data Engineer will support a major admissions technology initiative involving the implementation of Slate CRM and will serve as a key resource for data conversion, migration, integration development, and data architecture efforts. The role will also contribute to data governance, security, and AI readiness initiatives.</p><p><br></p><p>This is a 6 month contract to hire role.</p><p><br></p><p><u>Responsibilities</u></p><ul><li>Collaborate with stakeholders to understand reporting, data, and analytics requirements.</li><li>Design, implement, document, and maintain data lakes and related data architectures.</li><li>Support data conversion, migration, and integration activities associated with the Slate CRM implementation.</li><li>Develop and maintain integrations between enterprise systems and applications.</li><li>Create and maintain data models, including star schema and dimensional models.</li><li>Prepare data environments for artificial intelligence (AI) adoption and usage.</li><li>Recommend technical solutions that align with business requirements.</li><li>Provide technical support for enterprise data systems and users.</li><li>Develop and maintain technical documentation, user guides, and operational procedures.</li><li>Manage system upgrades and enhancements, including testing and documentation updates.</li><li>Troubleshoot data access, data quality, and integration issues.</li><li>Develop and implement security configurations and support compliance with governance standards.</li><li>Create data validation methods and processes to ensure data accuracy and reliability.</li><li>Monitor system and integration performance and identify improvement opportunities.</li><li>Collaborate with internal teams and external vendors regarding system enhancements, fixes, and integrations.</li><li>Participate in planning and implementation of data-related initiatives.</li></ul>
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
We are looking for a Data Engineer to drive the design and delivery of scalable data solutions that support critical business objectives within the oil and gas sector. This position is based in King of Prussia, Pennsylvania, and combines technical execution with leadership responsibilities, including guiding a small team and shaping engineering best practices. The ideal candidate brings strong expertise in modern data platforms, builds dependable pipelines and models, and works comfortably across complex source systems to produce high-quality data assets.<br><br>Responsibilities:<br>• Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making.<br>• Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities.<br>• Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems.<br>• Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability.<br>• Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives.<br>• Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans.<br>• Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle.<br>• Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data.<br>• Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations.<br>• Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services.<br>• Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality.<br>• Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals.<br>• Assess new data sources, determine their value and fit, and implement effective ingestion approaches.<br>• Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements.<br>• Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning.<br>• Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
We are looking for a Data Engineer to help shape and scale a modern cloud-based data environment in Wood Dale, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating reliable data solutions from the ground up and turning disconnected information into trusted reporting assets. You will work closely with business and technical partners to build a strong data foundation that improves visibility, consistency, and decision-making. The role offers a hands-on chance to define standards, streamline data delivery, and support long-term scalability in a collaborative team setting.<br><br>Responsibilities:<br>• Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting.<br>• Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems.<br>• Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users.<br>• Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting.<br>• Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions.<br>• Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python.<br>• Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time.<br>• Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
<p>We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.</p><p>• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.</p><p>• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.</p><p>• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.</p><p>• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.</p><p>• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.</p><p>• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.</p><p>• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model</p>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> 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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
<p>Design and manage data pipelines, ensuring optimized performance for analytics and reporting. Support BI tools to provide actionable insights for decision-making.</p><p><br></p>
<p><strong>Key Responsibilities</strong></p><p><strong>Leadership & Team Mentoring </strong></p><ul><li>Lead, mentor, and develop a team of data engineers and BI developers.</li><li>Communicate business priorities, define goals, and establish clear KPIs to track performance and delivery.</li><li>Foster a collaborative and learning-oriented culture across technical and business functions.</li></ul><p><strong>Data Engineering </strong></p><ul><li>Design, build, and maintain scalable and efficient data pipelines and integrations across multiple internal and external systems.</li><li>Oversee ETL/ELT processes ensuring data accuracy, reliability, and timeliness.</li><li>Manage data models and data warehouse structures optimized for reporting, analytics, and advanced use cases (e.g., predictive modeling, machine learning).</li><li>Implement best practices in data architecture, automation, and version control (e.g., Git).</li></ul><p><strong> </strong></p><p><strong> </strong></p><p><strong>Business Intelligence & Reporting</strong></p><ul><li>Oversee the design and delivery of SSRS and Power BI dashboards, ensuring usability and alignment with business goals.</li><li>Establish and manage data visualization standards, reusable datasets, and semantic models for self-service analytics.</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications and BI solutions.</li></ul><p><br></p>
<p>We are looking for a fully remote Data Engineer to support and enhance a modern data environment serving critical business reporting and analytics needs. This role will focus on maintaining reliable warehouse operations while expanding scalable data pipelines and improving how information is integrated across systems. This position is well suited for someone who enjoys hands-on engineering work, thoughtful data design, and close collaboration with technical stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the daily performance, stability, and upkeep of the data warehouse to ensure dependable access to trusted data.</p><p>• Design, build, and refine data pipelines that move and transform information efficiently across multiple platforms.</p><p>• Develop engineering solutions using Python, Spark, and Databricks to support large-scale data processing and analytics workloads.</p><p>• Create and maintain SQL-based data structures and workflows that improve data quality, usability, and consistency.</p><p>• Apply sound data modeling practices to organize datasets for reporting, analysis, and downstream application use.</p><p>• Partner with cross-functional teams to understand integration needs and deliver scalable data solutions aligned with business priorities.</p><p>• Support cloud-based data movement and orchestration processes, including work involving Azure Data Factory where needed.</p><p>• Contribute to reporting and visualization readiness by preparing well-structured datasets for tools such as Power BI, Tableau, or Looker.</p>
<p>Data Engineer</p><p>Location: Los Angeles, California</p><p>Employment Type: Full-Time</p><p>Robert Half is seeking a Data Engineer for an exciting opportunity with a Los Angeles-based organization. This role is ideal for a mid-level professional with 5 to 7 years of experience building modern data solutions and supporting scalable analytics environments. The ideal candidate will have strong experience with cloud platforms, data pipeline development and performance optimization. Based on general knowledge.</p><p>What You’ll Do</p><ul><li>Design, build and maintain scalable ETL/ELT pipelines. Based on general knowledge.</li><li>Integrate data from multiple sources to support reporting, analytics and business operations. Based on general knowledge.</li><li>Develop and optimize data models, workflows and warehouse structures. Based on general knowledge.</li><li>Support cloud-based data platforms and modern data architecture initiatives. Based on general knowledge.</li><li>Monitor data quality, troubleshoot issues and improve pipeline reliability. Based on general knowledge.</li><li>Collaborate with analysts, software engineers and business stakeholders to deliver data solutions. Based on general knowledge.</li><li>Help implement best practices for governance, security and operational efficiency. Based on general knowledge.</li></ul><p><br></p>
<p>We are looking for a Senior Business Analyst to support strategic pricing decisions and performance improvement initiatives for a global client located in Reading, Pennsylvania. This role partners closely with leadership to evaluate pricing outcomes, interpret operational trends, and uncover opportunities that strengthen profitability. The ideal candidate brings strong analytical judgment, communicates insights with confidence, and turns complex data into practical recommendations for cross-functional teams.</p><p><br></p><p>Responsibilities:</p><p>• Guide recurring reviews of board rate and discount strategies with business leadership, providing informed analysis and recommendations.</p><p>• Manage pricing guidance models on a defined cadence, ensuring outputs are accurate, timely, and aligned with business objectives.</p><p>• Sustain and refine pricing models by identifying issues, resolving inconsistencies, and introducing enhancements that improve reliability and effectiveness.</p><p>• Track critical pricing and operating metrics, translating performance patterns into clear business explanations.</p><p>• Present findings, risks, and growth opportunities to stakeholders through concise and well-structured reports and presentations.</p><p>• Partner with pricing and rental teams to strengthen existing dashboards and create new reporting views that improve decision-making.</p><p>• Conduct high-impact ad hoc analyses and special projects that require deep pricing knowledge and collaboration across multiple functions.</p>