<p>We are looking for a motivated Database Administrator for a Long-term Contract basis. This role is well suited for someone who can work independently, follow guidance from senior team members, and contribute to day-to-day Salesforce administration and database-related support. The position focuses on building and maintaining Salesforce configurations while helping ensure data integrity, usability, and efficient system performance.</p><p><br></p><p>Responsibilities:</p><p>• Build and maintain custom objects, fields, and related configuration within Salesforce to support business needs.</p><p>• Assist senior team members with administrative tasks and carry out assigned priorities with minimal supervision.</p><p>• Configure user access settings, including profiles, permissions, and field-level security, to support appropriate data visibility.</p><p>• Support ongoing platform upkeep by reviewing data quality, troubleshooting issues, and helping maintain reliable system performance.</p><p>• Collaborate with stakeholders and technical teammates to understand requirements and translate them into practical system updates.</p><p>• Contribute to database administration activities involving Microsoft SQL Server, Azure SQL Database, MySQL, and Microsoft SQL environments.</p><p>• Help monitor and improve system efficiency through performance analysis, tuning, and routine optimization efforts.</p><p>• Provide support for Salesforce Service Cloud configuration and related administrative processes as needed.</p>
We are looking for a Database Administrator to support critical enterprise systems and data operations for a non-profit organization in Battle Creek, Michigan. This Long-term Contract position is ideal for a hands-on specialist who can balance database administration, application support, integration work, and technical problem-solving in a collaborative IT environment. The role will contribute to system reliability, data accuracy, and ongoing improvements across business platforms while partnering with internal teams and external vendors.<br><br>Responsibilities:<br>• Administer and maintain database environments by monitoring system health, improving performance, managing security, and overseeing backup, recovery, and capacity needs.<br>• Investigate and resolve issues affecting enterprise applications, ensuring stable operation across core business platforms and connected technologies.<br>• Create, refine, and troubleshoot database queries to support reporting, data validation, and resolution of integrity or reconciliation concerns.<br>• Build, support, and debug integrations, APIs, automated data exchanges, and pipeline processes that connect systems across the organization.<br>• Maintain dependable data movement into reporting and analytics platforms, addressing failed refreshes, load problems, and mismatches between source data and reports.<br>• Assist with software deployments, upgrades, data conversions, testing activities, cutover tasks, and post-launch stabilization efforts.<br>• Partner with third-party vendors and technical service providers to diagnose complex incidents and drive issues through to completion.<br>• Produce clear technical documentation for databases, applications, and integration workflows while sharing knowledge with team members to strengthen cross-functional support.
<p>We are seeking an experienced Database Administrator to support, maintain, and optimize enterprise database environments. The ideal candidate will be responsible for ensuring the performance, availability, security, and reliability of critical database systems while supporting business applications and infrastructure initiatives.</p><p>In this role, you will administer and monitor database platforms, design and implement database structures, perform performance analysis and tuning, and support database upgrades, migrations, backups, and recovery processes. You will develop and maintain database administration standards, procedures, and technical documentation while collaborating with development, infrastructure, and business teams to deliver scalable and secure data solutions.</p><p>The successful candidate should have extensive experience managing enterprise database environments, strong knowledge of database architecture and performance optimization, and proficiency in SQL development and troubleshooting. Experience working with multiple database technologies, operating systems, and cloud-based platforms is highly desirable.</p><p>Additionally, this role requires strong analytical and problem-solving skills, excellent communication abilities, and the capability to work effectively in both independent and team-oriented environments. Responsibilities may also include mentoring technical staff, participating in system planning and implementation projects, supporting disaster recovery initiatives, and contributing to continuous improvement efforts across the organization.</p><p>Qualifications<strong>:</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, Information Technology, or a related field, or equivalent work experience.</li><li>Extensive experience in database administration and support.</li><li>Strong understanding of database design, performance tuning, backup and recovery, and security best practices.</li><li>Proficiency with SQL and database management tools.</li><li>Experience supporting enterprise-level applications and high-availability environments.</li><li>Ability to manage multiple priorities and provide technical leadership when needed.</li></ul><p>This position offers the opportunity to work with complex, business-critical systems while contributing to the reliability, performance, and growth of enterprise data environments.</p><p><br></p>
<p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building modern, cloud-based data platforms that drive business intelligence, reporting, and advanced analytics. This role is ideal for someone with deep expertise in <strong>Microsoft Azure</strong>, <strong>Microsoft Fabric</strong>, and modern data engineering practices.</p><p>You will be responsible for designing and developing scalable data solutions, optimizing data pipelines, and helping shape the organization's data architecture strategy. The ideal candidate is both hands-on and strategic, with experience building enterprise data platforms in Azure and Fabric environments.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain enterprise data solutions using <strong>Microsoft Fabric</strong> and <strong>Azure Data Services</strong>.</li><li>Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.</li><li>Develop and manage data lakes, lakehouses, warehouses, and semantic models.</li><li>Design data integration solutions using Fabric Data Factory, Dataflows, and Azure Data Factory.</li><li>Implement data governance, security, quality, and monitoring frameworks.</li><li>Partner with business stakeholders to understand reporting and analytics requirements.</li><li>Support Power BI developers by building trusted, high-quality data models and datasets.</li><li>Optimize data storage, query performance, and platform scalability.</li><li>Develop data architecture standards, best practices, and documentation.</li><li>Collaborate with application development teams to integrate operational systems with enterprise analytics platforms.</li><li>Support real-time and batch data processing initiatives.</li><li>Participate in architecture reviews, code reviews, and technical leadership activities.</li></ul><p><br></p>
We are looking for an experienced Controller to join a company in Decatur, Alabama on a Contract basis during a pivotal stage of business activity. This role will provide financial leadership tied to a potential business sale, with a strong focus on manufacturing operations, accuracy in reporting, and transaction readiness. The ideal candidate brings a solid background in mergers and acquisitions and can guide financial review processes with confidence and precision.<br><br>Responsibilities:<br>• Lead accounting and financial oversight in support of a potential business sale and related transaction activities.<br>• Prepare, analyze, and validate financial records to ensure the organization is ready for due diligence review.<br>• Perform detailed balance sheet examinations and resolve discrepancies through thorough reconciliation work.<br>• Partner with leadership and external stakeholders to provide accurate financial information during M& A-related discussions.<br>• Oversee manufacturing-focused financial reporting, including cost structures, inventory considerations, and operational performance analysis.<br>• Support the development of documentation and schedules required for buyer review, audits, and transaction evaluation.<br>• Identify financial risks, reporting gaps, and control issues, then recommend corrective actions to strengthen readiness.<br>• Deliver timely insights and clear reporting that support strategic decision-making throughout the engagement.
<p>Hello!</p><p>I came across your profile today in our Robert Half database and wanted to see if you are currently open to new opportunities. Robert Half partners with Fortune 500 and Fortune 1000 organizations nationwide, and I am currently recruiting for an exciting opportunity with one of our premier clients.</p><p>• <strong>Position:</strong> Data Analytics Analyst (Intermediate) - Contract-to-Hire</p><p>• <strong>Location:</strong> Downtown Seattle, WA</p><p>• <strong>Schedule:</strong> 100% Onsite, Monday-Friday, 7:00 AM - 4:00 PM PST</p><p>• <strong>Interview Process:</strong> One Round Zoom Interview</p><p>• <strong>Required Education:</strong> Bachelor's Degree Required</p><p>• <strong>Work Authorization:</strong> No employer-sponsored immigration support available</p><p>• <strong>Hiring Manager:</strong> Josh Funston</p><p>Job Description</p><p>Our client is expanding a large-scale credit card marketplace initiative and is seeking a detail-oriented <strong>Data Analytics Analyst</strong> to support digital analytics, data collection, and instrumentation efforts. This role will focus on ensuring data is accurately captured, measured, and reported across digital platforms while identifying gaps in existing tracking and analytics processes.</p><p>The ideal candidate will possess strong analytical capabilities, excellent communication skills, and a foundational understanding of data analytics technologies, including Python and related tools. Recent graduates with relevant internship experience are encouraged to apply.</p><p>Key Responsibilities</p><p>• Translate business objectives into measurement specifications and data collection requirements</p><p>• Support instrumentation and tracking efforts across digital platforms</p><p>• Identify gaps in analytics, tagging, and reporting processes</p><p>• Partner with business and technology teams to ensure accurate data collection and reporting</p><p>• Validate tracking implementations and troubleshoot data quality issues</p><p>• Analyze customer and behavioral data to support business decision-making</p><p>• Assist with defining KPIs, success metrics, and performance measurements</p><p>• Document analytics requirements, standards, and processes</p><p>• Collaborate with stakeholders to improve reporting accuracy and data accessibility</p><p>• Communicate findings, risks, and recommendations to project teams and leadership</p><p>Required Qualifications</p><p>• Bachelor's Degree required</p><p>• Strong attention to detail and organizational skills</p><p>• Excellent verbal and written communication skills</p><p>• Strong understanding of data analytics concepts and methodologies</p><p>• Familiarity with Python and other analytics tools (certifications not required)</p><p>• Ability to identify trends, inconsistencies, and gaps within data sets</p><p>• Analytical mindset with strong problem-solving capabilities</p><p>• Internship, academic, or professional experience involving analytics, reporting, business intelligence, or data analysis</p>
<p>We are looking for a skilled Paralegal to support a busy real estate transactional practice in California. This permanent position is well suited for someone who can manage complex deal documentation, coordinate critical deadlines, and contribute to smooth closings across purchase, sale, and leasing matters. The ideal candidate brings strong experience with title and survey analysis, practical judgment, and the ability to work independently in a fast-paced legal environment.</p><p><br></p><p>Responsibilities:</p><p>• Examine title reports, surveys, and related due diligence materials to identify issues and support real estate purchase, sale, and lease transactions.</p><p>• Organize and track transaction documents, ensuring files are complete, accurate, and aligned with key milestones and closing requirements.</p><p>• Prepare and maintain critical dates summaries so attorneys and stakeholders remain informed of deadlines and deliverables.</p><p>• Assist with transaction closings by coordinating signatures, compiling closing sets, and following through on post-closing items.</p><p>• Support attorneys with drafting, revising, and managing documents connected to real estate matters, including purchase and lease-related agreements.</p><p>• Communicate with internal teams, clients, and third parties to gather information, resolve document issues, and keep transactions moving forward.</p>
<p>AZURE DATABRICKS ARCHITECT - TEXAS OR IOWA </p><p>LOCATION: REMOTE IF YOU LIVE IN IOWA OR DALLAS OR AUSTIN TEXAS OR ANYWHERE IN TEXAS !!! Full-Time, Direct Hire</p><p>Help Rebuild a Modern Enterprise Data Environment</p><p>We are hiring multiple Azure Databricks Architects to lead a major cloud data modernization initiative. This is a high-impact opportunity to help rearchitect an enterprise data lake environment, influence technology direction, and serve as a go-to expert for modern Azure and Databricks data solutions across the organization.</p><p>If you enjoy building modern cloud architecture, solving complex data challenges, and mentoring technical teams, this role offers the chance to make a visible impact across the enterprise.</p><p>FUN PERKS!! EARLY OUT FRIDAYS!!</p><p>AWESOME BONUS & BENEFITS !!</p><p>Influence Technology direction, DATA ARCHITECTURE technology decisions, and architecture decisions. Be a GO-TO person in terms of Solutioning, working across the Enterprise, on data AZURE solutions. </p><p>Are you looking for a position where you can use your technical</p><p>EXCITING PROJECTS WHER EYOU WILL BE THE KEY SOLUTION ARCHITECT: </p><p>· Data AZURE LAKE Development experience</p><p>· DATABRICKS experience is a MUST</p><p>• Azure</p><p>* Azure stack (Azure Data Factory, Azure Synapse, Azure SQL Database, PLUS Azure Data Lake Storage, Azure Functions, Azure DevOps)</p><p>* Databricks</p><p>* Salesforce (Sales Cloud, Service Cloud, Data Cloud)</p><p>· Python experience is a MUST</p><p>· Data engineering experience</p><p>· ETL experience</p><p>**** For immediate and confidential consideration on this Permanent position, please contact me directly, Carrie Danger, SVP Permanent Placement Team, Iowa Region at My Direct Office #: 515-259-6087 or Cell: 515-991-0863, email me your resume direct. My email address is on my LinkedIN profile. </p><p>What You Will Need:</p><p>• Technical experience and architecture</p><p>expertise, preferably in developing MODERN DATA LAKE solution. investment,</p><p>software solutions.</p><p> • Ability to tackle & creatively solve complex technical issues.</p><p>• Solutioning and ability to Present DATA ENGINEERING SOLUTIONS.</p><p>APi’s, & Micro Services.</p><p>• Strong ability to Talk “Tech”, translate externally</p><p>If you can 'read a room', and if you are “Known” for your people</p><p>skills!</p><p>Full time direct hire position Application Architect up to $165K</p><p>plus 12% Bonus! For immediate and confidential consideration on this</p><p>Permanent position, please contact me directly, Carrie Danger, SVP Permanent</p><p>Placement Team, Iowa Region at My Direct Office #: 515-259-6087 or Cell: 515-991-0863, Or email resume confidentially to Carrie Danger. Please find my email address & contact Information on my LinkedIN profile. OR you can ONE CLICK APPLY AT our Robert Half website and Specifically Apply to this posting.</p>
<p>About the Opportunity</p><p>We're seeking a Data Scientist who thrives at the intersection of business strategy, marketing analytics, and statistical analysis. This role sits between a traditional Data Analyst and Data Scientist, focusing less on reporting and more on answering complex business questions that influence marketing investment decisions.</p><p>You'll join a high-performing analytics team responsible for evaluating and optimizing one of the organization's largest performance marketing channels. The ideal candidate brings a strong background in B2C marketing analytics, paid search, experimentation, and statistical analysis, with the ability to translate ambiguous business problems into actionable recommendations.</p><p><br></p><p>What You'll Do</p><p>In this role, you'll use data to influence marketing strategy and investment decisions across large-scale paid search programs.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and execute incrementality tests, holdout experiments, and pre/post analyses to measure the true business impact of paid search investments.</li><li>Build statistical frameworks to evaluate campaign performance and guide strategic decision-making.</li><li>Analyze large datasets using SQL and Python to uncover trends, performance drivers, and opportunities.</li><li>Develop recommendations regarding marketing spend allocation through ROI and marginal return analyses.</li><li>Translate complex business questions into structured analytical approaches and defensible recommendations.</li><li>Partner with marketing, analytics, and business stakeholders to influence investment and optimization strategies.</li><li>Create and maintain trusted reporting, dashboards, and performance measurement frameworks.</li><li>Validate findings, quality-check reporting, and challenge assumptions to ensure analytical rigor.</li><li>Support ad hoc analyses including:</li><li>Marketing budget optimization</li><li>Competitive performance analysis</li><li>Search engine algorithm impact assessments</li><li>Customer acquisition and conversion performance studies</li></ul><p>What a Typical Month Looks Like</p><ul><li><strong>50%</strong> Ongoing performance management and campaign optimization</li><li><strong>30%</strong> Strategic projects, experimentation, and deep-dive analysis</li><li><strong>20%</strong> Team collaboration, stakeholder meetings, and team development</li></ul>
<p>Robert Half is partnering with a company in Wisconsin to help them hire an experienced Software Support Engineer. In this role you're responsible for supporting, maintaining, and improving the company's business and technical software applications. This role focuses on application administration, troubleshooting, user support, and developing tools and integrations that improve system functionality and reduce manual processes.</p><p><br></p><p>The position will support a variety of applications, including CAD/PDM software, ERP systems, and internal business applications. Working with IT, internal users, software vendors, and the MRP/ERP Solutions Consultant, this person will help resolve application issues, maintain system integrations, improve data accuracy, and identify opportunities to make software and business processes more efficient.</p><p><br></p><p>Principal Responsibilities</p><ul><li>Administer and support company software applications, including user access, licensing, system settings, upgrades, troubleshooting, and software deployments.</li><li>Serve as a primary point of contact for application-related questions and technical support, helping users resolve issues and get the most out of available software.</li><li>Develop and maintain utilities, scripts, and integrations that connect business applications, databases, and internal systems using C#/.NET, VB.NET, or other supported programming languages.</li><li>Identify opportunities to automate repetitive tasks, improve workflows, reduce manual data entry, and increase system efficiency.</li><li>Use SQL to retrieve, compare, and validate data across systems, helping identify discrepancies and maintain data accuracy.</li><li>Support and improve existing integrations between company applications and the ERP system, working with the MRP/ERP Solutions Consultant to investigate transfer failures and resolve data issues.</li><li>Maintain and improve existing VBA/VB.NET scripts and other custom-developed tools.</li><li>Coordinate software installations, licensing, upgrades, and application deployments with IT and relevant software vendors.</li><li>Test application updates, integrations, and custom utilities before deployment. Maintain appropriate documentation, source control, error handling, and recovery procedures.</li><li>Provide user training and develop practical documentation and guides to help employees use company applications effectively.</li><li>Work with IT on infrastructure, security, user access, backups, and application deployments.</li><li>Collaborate with departments across the company to understand software issues, prioritize improvements, and implement practical solutions.</li><li>Perform other related duties as assigned.</li></ul><p><br></p>
<p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>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.</p><p><br></p><p>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.</p><p><br></p><p>What You'll Do</p><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><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting.<br>• Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability.<br>• Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains.<br>• Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption.<br>• Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations.<br>• Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions.<br>• Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets.<br>• Support file-based data exchange and integration processes, including secure FTP-based transfers where required.
<p>We are seeking an Integration Developer/Analyst to help develop, maintain, and troubleshoot integrations between enterprise applications and third-party systems. This role is ideal for someone with a foundation in system integration, APIs, data transformation, and SQL who is eager to learn new technologies and grow their technical skills.</p><p>You will collaborate with technical teams, business users, and external vendors to understand integration needs, map data, resolve issues, and ensure information flows accurately and securely between systems. Experience with Boomi is not required; training and knowledge sharing will help you learn the platform.</p><p>Key Responsibilities</p><ul><li>Develop, maintain, and troubleshoot integrations between enterprise applications and external systems.</li><li>Learn and work with the Boomi integration platform to support data flows and integration processes.</li><li>Work with REST/SOAP APIs, JSON, XML, and vendor-provided data files.</li><li>Map, transform, and validate data to ensure accurate information exchange between systems.</li><li>Use Postman and similar tools to test APIs and troubleshoot integration issues.</li><li>Write and troubleshoot SQL queries, stored procedures, and database functions.</li><li>Use JavaScript or Python to support scripting, automation, and custom integration logic.</li><li>Collaborate with internal business users to gather requirements and understand business needs.</li><li>Coordinate with third-party vendors and technical teams to resolve integration issues.</li><li>Document integration processes, requirements, and solutions.</li><li>Follow data security practices and support secure data exchange.</li></ul><p><br></p>
We are looking for a curious and detail-focused entry-level Data Analyst to join our team in Georgia. In this role, you will help transform operational and business data into clear reporting and practical insights that support day-to-day decisions. This opportunity is well suited to someone starting their analytics career who enjoys solving problems, working with data tools, and growing in a collaborative, fast-moving environment.<br><br>Responsibilities:<br>• Create, refresh, and maintain dashboards along with recurring reports that provide timely visibility into business performance.<br>• Examine operational, sales, financial, and customer information to uncover patterns, highlight irregularities, and support informed decision-making.<br>• Review data for completeness and accuracy by performing validation, reconciliation, and quality checks, then raise issues when records appear inconsistent or incomplete.<br>• Use SQL to extract, organize, and summarize data for reporting and ad hoc analysis needs.<br>• Assist with Power BI reporting by contributing to report updates, testing activities, and validation of results.<br>• Work with structured datasets while building familiarity with data warehouse environments and core data processes.<br>• Partner with stakeholders across the business to understand reporting goals and present findings in a clear, practical manner.<br>• Maintain organized documentation for reports, metric definitions, validation methods, and standard procedures.
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
We are looking for a Data Engineer to join our team in Salt Lake City, Utah and help build reliable, scalable data solutions that support key business initiatives. This role is ideal for someone who combines strong hands-on engineering ability with sound technical judgment and can guide decisions across architecture, delivery, and system improvement. The right candidate brings experience working with modern cloud services, data modeling practices, and collaborative development environments while communicating effectively with both technical and business partners.<br><br>Responsibilities:<br>• Lead the technical direction for a core data domain, making thoughtful architecture decisions that support scalability, reliability, and long-term maintainability.<br>• Design, build, and enhance data pipelines and platform components using Python, SQL, DBT, and cloud-based services within AWS environments.<br>• Develop data models aligned with Kimball methodology to support analytics, reporting, and downstream business use cases.<br>• Break large initiatives into clear technical workstreams, estimate effort, and drive execution against timelines while monitoring progress and addressing delivery risks.<br>• Work closely with cross-functional partners to convert business goals into practical data solutions and provide guidance on technical tradeoffs.<br>• Establish and reinforce engineering standards through code reviews, design discussions, and implementation of best practices for quality and performance.<br>• Identify areas of technical debt, prioritize remediation efforts, and balance platform stability with the delivery of new capabilities.<br>• Implement monitoring, alerting, and maintenance strategies that improve system health, data reliability, and operational visibility.<br>• Assess emerging tools and approaches to recommend improvements that strengthen system efficiency, searchability, and maintainability.
<p>Robert Half is seeking an experienced <strong>Power BI Developer / Reporting Analyst</strong> to support a growing reporting and analytics function for an established organization in the manufacturing, distribution, and supply chain industry. The company is looking for a seasoned Power BI professional to elevate its analytics environment, streamline reporting processes, and help drive the future of business intelligence through hands-on work in reporting, data modeling, and automation.</p><p><br></p><p><strong>Location:</strong> 100% remote</p><p><strong>Duration:</strong> 6 months</p><p><strong>Schedule:</strong> Monday-Friday; Flexible PDT hours</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design and maintain interactive Power BI dashboards and reports that help business teams monitor performance and make informed decisions.</li><li>Develop data models, calculations, and visualizations using DAX and other BI best practices to deliver accurate and meaningful insights.</li><li>Build and support data pipelines using Azure Data Factory to collect, transform, and organize information from multiple sources.</li><li>Partner with stakeholders across operational and business functions to gather reporting needs and translate them into practical analytics solutions.</li><li>Analyze data related to distribution, logistics, or supply chain activities to identify trends, issues, and opportunities for improvement.</li><li>Ensure reporting assets are reliable, easy to use, and aligned with established data quality and governance expectations.</li><li>Document reporting logic, data definitions, and development processes to support long-term usability and knowledge sharing.</li></ul>
Software Engineer - .NET Developer Job Summary We are seeking a highly skilled Software Engineer (.NET Developer) to design, develop, test, and maintain scalable enterprise applications using Microsoft .NET technologies. The ideal candidate will collaborate with business stakeholders, architects, and cross-functional teams to deliver high-quality software solutions that support business objectives. This role requires strong experience in application development, API integration, database design, and modern software development practices. Key Responsibilities Design, develop, enhance, and support enterprise applications using the Microsoft .NET framework and .NET Core/.NET. Develop web applications, RESTful APIs, and microservices using C#, ASP.NET MVC, ASP.NET Core, and Web API. Collaborate with business analysts, product owners, and stakeholders to understand requirements and translate them into technical solutions. Create and maintain application architecture, technical specifications, and documentation. Develop and optimize SQL Server database objects, including stored procedures, views, functions, and queries. Perform code reviews and ensure adherence to coding standards, security practices, and software development methodologies. Troubleshoot and resolve application defects, performance issues, and production incidents. Implement automated testing and participate in CI/CD deployment processes. Integrate applications with third-party systems, cloud services, and enterprise platforms. Participate in Agile ceremonies, including sprint planning, daily standups, and retrospectives. Maintain application security and compliance with organizational standards.
<p>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</p>
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• 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.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
We are looking for an experienced Software Architect to provide deep technical leadership for a Db2 environment that supports a transportation management platform in Burlingame, California. This Long-term Contract position focuses on evaluating the current database and infrastructure landscape, strengthening performance and reliability, and recommending practical improvements that support critical business operations. The role also partners with technical stakeholders to solve complex platform issues, document findings, and guide modernization efforts while maintaining application stability.<br><br>Responsibilities:<br>• Evaluate the existing Db2 platform, operating model, and supporting architecture to uncover performance gaps, capacity concerns, security risks, and reliability issues.<br>• Analyze workload behavior across transactional processes and reporting activity, using execution plans, indexing strategy, locking patterns, memory settings, logging, and storage usage to recommend measurable improvements.<br>• Review custom SQL and related application workflows, then refine inefficient queries or propose alternative functional approaches when database changes alone are not the best solution.<br>• Resolve production-facing database and platform problems, including slowdowns, failed scheduled processing, storage limitations, replication concerns, backup or recovery issues, and interruptions to availability.<br>• Improve the Windows-based environment currently supporting Db2 by assessing server configuration, memory utilization, disk and file system performance, network settings, service permissions, and security controls.<br>• Build and enhance automation for recurring operational checks, configuration validation, backup confirmation, and ongoing monitoring using PowerShell or similar scripting tools.<br>• Support the migration of a large production Db2 database from Windows to Linux by defining readiness criteria, dependency reviews, data movement strategy, testing plans, cutover activities, rollback steps, and post-go-live stabilization.<br>• Configure and tune Linux infrastructure for Db2, including storage mounts, permissions, resource thresholds, networking, service management, and monitoring integration.<br>• Work closely with vendor support and engineering teams to investigate open cases, accelerate issue resolution, and validate platform changes through benchmarking and documented runbooks.
<p>We are seeking an Integration Engineer to support the design, development, and maintenance of cloud-based integration solutions within a growing organization. This role will focus on connecting business applications, data platforms, and enterprise systems while helping improve data flow, automation, and overall system interoperability. The position offers the opportunity to work closely with both technical and business teams to deliver scalable integration capabilities and contribute to long-term architecture and platform strategy.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain integration solutions that enable secure and reliable data exchange across applications and systems.</li><li>Build and support APIs, interfaces, and integration services while ensuring appropriate security, governance, and lifecycle management.</li><li>Develop and enhance automated deployment and operational processes to improve efficiency and reliability.</li><li>Design and implement integration patterns that support both real-time and asynchronous communication needs.</li><li>Collaborate with stakeholders to gather requirements, define technical solutions, and support implementation efforts.</li><li>Create and maintain technical documentation related to integrations, interfaces, and development standards.</li><li>Troubleshoot and resolve integration-related issues, including data, configuration, and system connectivity challenges.</li><li>Support ongoing platform enhancements, modernization initiatives, and system integrations as business needs evolve.</li><li>Develop data transformation and movement processes across multiple systems and platforms.</li><li>Promote best practices, reusable components, and scalable integration frameworks across the enterprise environment.</li></ul><p><br></p>