<p>Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization.</p><p><br></p><p>The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable.</p><p><br></p><p><strong>This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri).</strong></p><p><br></p><p>Key Responsibilities</p><ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul><p><br></p>
<p>We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine data models to enhance performance and operational efficiency.</p><p>• Create data warehouse solutions to manage and access structured and unstructured data effectively.</p><p>• Design, implement, and maintain data integration processes to support analytics and data-driven applications.</p><p>• Establish and enforce data validation procedures to ensure the reliability and consistency of information.</p><p>• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.</p><p>• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.</p><p>• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.</p>
<p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques.</p><p><br></p><p>Responsibilities:</p><p>• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.</p><p>• Perform accurate data entry tasks, ensuring the integrity of numeric information.</p><p>• Develop and maintain Excel formulas to streamline data processing and reporting.</p><p>• Generate detailed reports and dashboards tailored to organizational needs.</p><p>• Collaborate with cross-functional teams to understand data requirements and provide solutions.</p><p>• Ensure data accuracy and troubleshoot discrepancies in large datasets.</p><p>• Provide actionable recommendations based on findings from data analysis.</p><p>• Manage and organize datasets for easy retrieval and future use.</p><p>• Monitor data workflows and suggest improvements to enhance efficiency.</p><p>• Maintain confidentiality and security of sensitive information.</p><p>If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com</p>
<p>Data Analyst – Enterprise Data & Metadata</p><p>Location: Houston, TX 77002</p><p>Work Arrangement: Onsite</p><p>Schedule: 1st Shift, 9:00 AM – 5:00 PM</p><p><br></p><p>Position Overview</p><p><br></p><p>We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.</p><p>The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization.</p><p><br></p><p>Key Responsibilities</p><p>Data Mapping & Documentation</p><ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul><p>Metadata Management & Atlan</p><ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul><p>Data Analysis & Validation</p><ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul><p>Collaboration & Enablement</p><ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
<p>We are seeking a detail-oriented Systems Analyst to support and optimize enterprise labeling and automation processes. This role plays a critical part in ensuring accuracy, consistency, and compliance across product labeling and operational workflows.</p>
<p>Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>· Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.</p><p>· Generate business insights and present clear, actionable recommendations to stakeholders.</p><p>· Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.</p><p>· Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.</p><p>· Identify trends, patterns, and opportunities for process improvements and new initiatives.</p>
<p>We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.</p><p>• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.</p><p>• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.</p><p>• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.</p><p>• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.</p><p>• Conduct data quality assessments and establish validation protocols to ensure data reliability.</p><p>• Document data processes, methodologies, and technical specifications for future reference.</p><p>• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.</p>
We are looking for a Data Analyst to join a Long-term Contract opportunity based in Memphis, Tennessee. In this role, you will help strengthen the accuracy, consistency, and reliability of customer and operational data across enterprise systems while supporting teams that rely on clean information for daily business activities. This position is well suited for someone who is analytical, highly detail-focused, and comfortable managing request-driven work while contributing to better data practices and long-term process improvements.<br><br>Responsibilities:<br>• Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution.<br>• Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability.<br>• Examine source details before making changes and record updates clearly to support auditability and governance standards.<br>• Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution.<br>• Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency.<br>• Help create and refine process documentation and standard operating guidelines that promote consistent data management practices.<br>• Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders.<br>• Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly.<br>• Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems.
We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies.<br><br>Responsibilities:<br>• Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems.<br>• Develop and manage Azure-based Data Lakes and associated cloud data services.<br>• Lead large-scale data migration projects from on-premise systems to Azure cloud environments.<br>• Create scalable data models and curated datasets to support business intelligence and reporting.<br>• Ensure data integrity, quality, governance, and security throughout all workflows.<br>• Collaborate with technical and business teams to translate requirements into impactful data solutions.<br>• Optimize data architectures to improve performance and scalability.<br>• Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers.<br>• Monitor and troubleshoot data workflows to ensure seamless operations.
<p><strong>Data Reporting Analyst</strong></p><p>We are seeking a Data Reporting Analyst to support business reporting and data visualization initiatives. This role will focus on building and maintaining dashboards that provide insight into operational performance, SLAs, and KPIs. The position is an ongoing contract with potential for conversion and follows a hybrid work schedule.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain Power BI dashboards to support business and IT reporting needs</li><li>Analyze and interpret data to track SLAs, KPIs, and operational performance</li><li>Partner closely with the IT Director to review trends, metrics, and reporting requirements</li><li>Ensure data accuracy, consistency, and usability across reports and dashboards</li><li>Support ongoing reporting enhancements and ad-hoc data analysis requests</li></ul><p><br></p>
<p>We are seeking a Data Scientist to support and enhance production analytics and machine learning solutions. This role focuses on improving model performance, scalability, and reliability while partnering with cross-functional teams to deliver impactful data-driven outcomes.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Develop, evaluate, and deploy machine learning and analytics solutions in production environments.</li><li>Analyze existing models and data workflows; identify opportunities for improvement and modernization.</li><li>Collaborate with product, engineering, and business teams to deliver scalable solutions.</li><li>Establish performance monitoring, testing, and iteration processes for continuous improvement.</li><li>Contribute to data pipeline development and ensure high-quality, reliable datasets.</li></ul><p><br></p>
<p>Our company is seeking a highly analytical and innovative Data Scientist to join our growing team in St. Louis, Missouri. In this role, you will leverage advanced data modeling, machine learning, and statistical techniques to drive actionable business insights and support critical decision-making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>· Develop and implement predictive models, machine learning algorithms, and analytical frameworks to solve complex business challenges</p><p>· Analyze large datasets using statistical methods, data mining, and visualization tools</p><p>· Collaborate with cross-functional teams to identify opportunities for data-driven improvements and deliver impactful solutions</p><p>· Communicate results and recommendations clearly to both technical and non-technical stakeholders</p><p>· Stay up to date with emerging trends, tools, and technologies in data science and analytics</p>
<p>We are looking for an experienced Data Scientist to join our team in San Francisco, California. In this senior-level role, you will lead initiatives from concept to completion, leveraging your expertise in data analytics, finance, and product development. This is a hybrid (2-3 days) long-term contract position based in San Francisco and offers a unique opportunity to work on impactful projects while mentoring less experienced team members.</p><p><br></p><p>Responsibilities:</p><p>• Take full ownership of projects, managing them from initial planning through delivery and implementation.</p><p>• Develop and prototype innovative, data-driven tools, including internal tools such as pricing engines.</p><p>• Define and implement parameters and logic for pricing outputs based on large datasets.</p><p>• Build and maintain data models and prototypes to support business decision-making processes.</p><p>• Collaborate with stakeholders to ensure tools and models align with business needs and fund-related use cases.</p><p>• Perform hands-on analysis and modeling of large datasets to support pricing and tool development.</p><p>• Create solutions that integrate data insights with financial operations, enhancing efficiency and accuracy.</p><p>• Mentor and oversee less experienced team members, ensuring team goals and project deliverables are met.</p><p>• Drive execution of projects by defining requirements, managing timelines, and delivering functional products.</p><p>• Experience with large scale data processing and distributed systems like Spark or Airflow.</p><p><br></p>
We are looking for a skilled Business Analytics/Data Analyst to support data-driven decision-making and enhance business intelligence processes. In this long-term contract role, you will play a key part in analyzing complex datasets and providing actionable insights to drive organizational success. The position is based in Arlington, Texas.<br><br>Responsibilities:<br>• Conduct detailed data analysis to identify patterns, trends, and actionable insights.<br>• Develop and maintain business intelligence reports using tools such as BusinessObjects Technologies.<br>• Perform audits of commercial contracts to ensure compliance and accuracy.<br>• Abstract and analyze key terms from contracts to support decision-making.<br>• Collaborate with cross-functional teams to gather data requirements and optimize analytics processes.<br>• Utilize advanced data analytics tools to process and interpret large datasets.<br>• Provide recommendations to improve business operations based on data findings.<br>• Ensure the integrity and security of data used for analysis and reporting.<br>• Support the organization in leveraging data for strategic planning and forecasting.
<p>Our client in the Lower Fairfield, CT area has an opening for Business Analyst Consultant. In this long-term contract role, you will play a pivotal part in driving data-driven insights and supporting strategic decisions across a dynamic organization. The ideal candidate will bring a wealth of expertise in data analysis and business intelligence, paired with a deep understanding of industry-specific practices.</p><p><br></p><p>Responsibilities:</p><p>• Produce accurate and detail-oriented reports tailored to a diverse range of stakeholders.</p><p>• Leverage best practices to ensure data analysis aligns with industry standards and organizational objectives.</p><p>• Collaborate with teams to deliver actionable insights based on cleaned and organized data.</p><p>• Utilize expertise in multiple data systems to streamline reporting processes and enhance efficiency.</p><p>• Ensure high levels of accuracy and attention to detail in all data-related outputs.</p><p>• Support strategic decision-making by analyzing transaction timelines and other critical metrics.</p><p>• Apply knowledge of private equity operations to optimize data reporting and visualization.</p><p>• Develop and maintain data visualization tools to communicate findings effectively.</p><p>• Manage the integration and analysis of data across multiple operating systems.</p><p>• Partner with senior executives to align analytics initiatives with organizational goals.</p><p>If you are interested in this Business Analyst role, please email your resume in a Word format to joseph.colagiacomo@roberthalf with the subject line: "Business Analyst"</p>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p><br></p><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines to support the Core Data platform.<br>• Create tools and services to enhance data discovery, governance, and privacy.<br>• Collaborate with product managers, architects, and software engineers to ensure the success of data platforms.<br>• Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions.<br>• Establish and document best practices for pipeline configurations, naming conventions, and operational standards.<br>• Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs).<br>• Participate in agile and scrum ceremonies to improve collaboration and team processes.<br>• Foster relationships with stakeholders to understand their needs and prioritize platform enhancements.<br>• Maintain detailed documentation to support data governance and quality initiatives.
We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies.<br><br>Responsibilities:<br>• Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making.<br>• Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL.<br>• Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems.<br>• Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency.<br>• Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions.<br>• Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption.<br>• Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results.<br><br>Responsibilities:<br>• Design and implement robust business intelligence solutions tailored to meet organizational needs.<br>• Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications.<br>• Create and maintain databases and data marts that support analytics and reporting activities.<br>• Develop and optimize ETL processes to efficiently load data into data marts.<br>• Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems.<br>• Recommend and implement governance practices to improve self-service BI and analytics capabilities.<br>• Develop automated data validation checks to maintain data integrity and accuracy.<br>• Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses.<br>• Troubleshoot and debug issues across application and database layers to ensure smooth operations.<br>• Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
<p>We are looking for a Data Engineer to strengthen and expand an established Microsoft Fabric data environment. This Long-term Contract position is ideal for someone who can turn business data into reliable, well-structured assets that support reporting and decision-making. The role requires a hands-on engineer who can shape data architecture, build scalable pipelines, and communicate clearly with both technical teams and business stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Expand and improve an existing Microsoft Fabric platform to support dependable, scalable analytics solutions.</p><p>• Create and maintain a layered data architecture across Bronze, Silver, and Gold tiers, with emphasis on delivering trusted and business-ready curated datasets.</p><p>• Build ingestion and transformation processes for Salesforce data along with information from additional enterprise sources.</p><p>• Develop data models that improve accuracy, usability, and reporting value by evaluating structure, relationships, and downstream needs.</p><p>• Support the shift away from older warehouse and spreadsheet-driven reporting practices by introducing more modern data engineering approaches.</p><p>• Work autonomously to manage priorities while providing regular updates on progress, technical decisions, and potential risks.</p><p>• Collaborate with business partners to understand reporting goals and translate them into practical data solutions.</p><p>• Contribute to data processing and integration workflows using technologies such as Python, Spark, ETL frameworks, and related platform tools.</p>
<p>Robert Half is seeking a Data Engineer to design, build, and maintain enterprise data infrastructure and analytics platforms. This role will serve as the technical owner of data architecture, ensuring data quality, governance, and accessibility across the organization.</p><p>This is a highly visible role supporting leadership and business teams by enabling reliable, data-driven decision-making through scalable data solutions and modern analytics tools.</p><p><br></p><p><strong>Job Responsibilities</strong></p><ul><li>Design and implement enterprise data architecture, including data models and integration patterns to establish a single source of truth </li><li>Build and manage analytics platforms to support reporting and business intelligence initiatives </li><li>Develop and maintain high-impact dashboards using Power BI or similar tools for leadership and operational teams </li><li>Design and build automated ETL/ELT pipelines across multiple systems and data sources </li><li>Define and enforce data governance standards, including metric definitions, data quality rules, and access controls </li><li>Monitor and optimize data pipeline performance, including troubleshooting failures and implementing automated error handling </li><li>Investigate and resolve data quality issues (e.g., duplicates, sync failures) and implement proactive monitoring solutions </li><li>Enable self-service analytics by creating user-friendly data models and supporting end users with training and documentation </li><li>Ensure compliance with data security and regulatory requirements, including proper data handling and access controls </li><li>Partner with IT leadership to recommend tools, technologies, and best practices to enhance data capabilities </li></ul>
<p>Robert Half Technology is seeking a <strong>mid-to-senior level Data Engineer</strong> to support the modernization of an existing data environment for a client in Bellevue, Washington. This role will focus on <strong>rearchitecting data pipelines into Databricks</strong>, improving performance, and establishing scalable data architecture and governance. This is a hands-on role in a <strong>fast-paced, less structured environment</strong>, ideal for someone who takes ownership and can operate with autonomy.</p><p> </p><p><strong>Duration:</strong> Long-term contract with potential for extension or conversion</p><p><strong>Location:</strong> Bellevue, Washington (3-days onsite working hybrid)</p><p><strong>Schedule:</strong> Monday-Friday (9AM-5PM PST)</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Rebuild and optimize existing <strong>Python-based ETL pipelines</strong> within Databricks </li><li>Design and implement scalable <strong>data ingestion and transformation processes</strong> </li><li>Architect and maintain <strong>data marts and data warehouse structures</strong> </li><li>Implement <strong>Medallion Architecture (Bronze, Silver, Gold layers)</strong> </li><li>Improve performance of data processing workflows (reduce runtimes, optimize queries) </li><li>Support migration and consolidation of data into Databricks </li><li>Document <strong>data pipelines, tables, and architecture</strong> for governance and maintainability </li><li>Define best practices for <strong>data storage, organization, and access</strong> </li><li>Ensure alignment with existing compliance and data standards </li></ul><p><br></p>