We are looking for an experienced Database Administrator to join our team in Westlake, Ohio. In this role, you will manage and optimize database systems to ensure high performance, security, and reliability. The ideal candidate will bring extensive expertise in database administration and a proactive approach to solving complex challenges.<br><br>Responsibilities:<br>• Administer and maintain Microsoft SQL Server databases in production environments, ensuring optimal performance and reliability.<br>• Perform regular performance tuning, indexing, and query optimization to enhance database efficiency.<br>• Implement and manage backup, recovery, and high availability solutions, such as Always On, Failover Clustering, and log shipping.<br>• Develop and automate SQL scripts and jobs using SQL Server Agent.<br>• Monitor database security, permissions, and compliance with best practices.<br>• Troubleshoot and resolve issues related to database performance, availability, and data integrity.<br>• Collaborate with cross-functional teams to align database solutions with business needs.<br>• Conduct regular audits and maintenance to ensure database health and integrity.<br>• Provide technical support and guidance to team members on database-related issues.<br>• Stay updated on industry trends and advancements in database technologies.
We are looking for a Database Administrator to join a team in Bloomfield Hills, Michigan in a contract-to-permanent capacity. This position is well suited for someone with solid database administration experience who can support day-to-day operations, review database practices, and assist engineers working across on-premises and Azure environments. The role focuses on maintaining reliable database performance, helping validate technical approaches, and contributing to data initiatives that connect into a broader data lake strategy.<br><br>Responsibilities:<br>• Manage and support database administration activities across Microsoft SQL Server, Azure SQL Database, and MySQL environments.<br>• Review database configurations, scripts, and implementation approaches to help confirm alignment with sound operational standards and best practices.<br>• Partner with data engineers by providing administrative support for both on-premises systems and cloud-based Azure database workloads.<br>• Monitor database health, identify performance bottlenecks, and carry out tuning efforts to improve stability and efficiency.<br>• Execute assigned work within Azure environments, including routine support tasks and updates provided by senior engineering team members.<br>• Assist with database-related activities tied to data flows that contribute to enterprise data lake initiatives.<br>• Troubleshoot database issues, investigate root causes, and recommend practical corrective actions to reduce recurring problems.
We are looking for a Database Administrator to support and strengthen critical data environments for a financial services organization in McAllen, Texas. This role is responsible for maintaining reliable database operations across on-premises and cloud-based platforms while helping ensure performance, security, and recoverability. The ideal candidate brings hands-on experience with Microsoft SQL Server and related database technologies, along with a proactive approach to troubleshooting, optimization, and operational documentation.<br><br>Responsibilities:<br>• Oversee the setup, configuration, patching, and ongoing administration of Microsoft SQL Server and additional database technologies used across the organization.<br>• Manage database environments hosted on local infrastructure, Microsoft Azure, and hybrid platforms to maintain stable and efficient operations.<br>• Track system health, capacity, and availability metrics, and take corrective action to prevent disruptions or performance degradation.<br>• Improve database and application responsiveness through performance analysis, tuning, and optimization of workloads and storage usage.<br>• Create and maintain operational routines for backups, index upkeep, integrity validation, and other preventive maintenance activities.<br>• Investigate database incidents, resolve service interruptions, and support recovery efforts during outages or degraded performance events.<br>• Apply security controls by managing role-based access, privileged credentials, and database permissions in alignment with internal policies and regulatory expectations.<br>• Develop, document, and test backup and restoration procedures, and support application deployments, upgrades, and data migration efforts in coordination with vendors and internal stakeholders.<br>• Maintain accurate technical documentation, including procedures, diagrams, and runbooks, and participate in after-hours maintenance or incident response when needed.
We are looking for an experienced Database Technology Manager to oversee the stability, security, and performance of enterprise database environments in Tempe, Arizona. This role combines hands-on database administration with team leadership, requiring someone who can guide technical staff, improve operational standards, and communicate clearly with both technical and non-technical stakeholders. The ideal candidate brings strong Microsoft SQL Server expertise, a disciplined approach to backup and recovery planning, and the ability to support reliable database operations in a regulated setting.<br><br>Responsibilities:<br>• Lead the administration and day-to-day support of production Microsoft SQL Server environments, ensuring high availability, reliability, and consistent performance.<br>• Supervise and mentor technical team members, establish operational standards, and review database-related work for quality and accuracy.<br>• Manage core SQL Server services and features, including instance setup, Always On availability groups, backup and restore processes, SQL Server Agent, and Database Mail.<br>• Develop, maintain, and validate backup and disaster recovery strategies through regular testing and documented recovery procedures.<br>• Analyze database performance issues using execution plans, wait statistics, and tuning techniques to improve efficiency and system responsiveness.<br>• Create and maintain PowerShell-based automation to streamline administrative tasks and reduce manual effort.<br>• Oversee database security controls, permissions, and compliance practices within an audited or regulated environment.<br>• Produce clear technical documentation such as runbooks, incident summaries, and architecture recommendations for a broad audience.<br>• Support upgrade and migration activities across database versions when needed, while minimizing operational disruption.<br>• Participate in on-call support rotations and perform after-hours maintenance to sustain system availability.
<p>We are looking for a Database Developer for a Contract position. This position is remote. This role is ideal for someone who can step into an established ServiceTitan environment, quickly assess issues, and deliver practical solutions with minimal oversight. The successful candidate will combine database expertise, workflow support, and business-focused problem solving to improve system performance, reporting, and operational efficiency.</p><p><br></p><p>Responsibilities:</p><p>• Manage and support the day-to-day operation of the ServiceTitan platform, resolving workflow and system issues in an existing environment.</p><p>• Develop, maintain, and optimize database solutions using Microsoft SQL Server, T-SQL, stored procedures, and ETL processes.</p><p>• Create reporting tools, dashboards, and data views that help business teams track performance and make informed decisions.</p><p>• Build and maintain integrations and automation processes using Python, Zapier, and related APIs where needed.</p><p>• Investigate system errors, data inconsistencies, and process gaps, then implement effective fixes with limited direction.</p><p>• Partner with stakeholders across departments to understand operational needs and translate them into scalable technical solutions.</p><p>• Support database management activities including data organization, query performance improvement, and ongoing system reliability.</p><p>• Contribute to enhancements involving ServiceTitan configurations, cross-platform connectivity, and workflow improvements as business needs evolve.</p>
<p>Staff Database Engineer</p><p>This Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on <strong>Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability</strong>. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.</p><p>What You'll Do</p><ul><li>Lead <strong>large-scale database migrations involving TB+ datasets</strong>, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing <strong>Couchbase workloads</strong> and determine whether they should remain on Couchbase or migrate to <strong>DynamoDB, DocumentDB, or another database platform</strong> based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot <strong>Couchbase XDCR or comparable replication technologies</strong>, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex <strong>multi-tenant environments</strong> with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within <strong>AWS</strong>, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support <strong>ETL/ELT pipelines feeding Snowflake or similar modern data platforms</strong>, including data validation, backfills, recovery, and troubleshooting.</li><li>Use <strong>Python and SQL</strong> for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of <strong>production database incidents</strong>, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using <strong>Datadog, CloudWatch, Azure Monitor, or similar observability tools</strong>.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul><p><br></p>
We are looking for a Database Developer to join a team in Ventura, California on a Long-term Contract assignment. This role is ideal for someone with strong experience building and optimizing SQL Server database solutions, supporting data integration processes, and developing reliable backend functionality. The position focuses on creating efficient database objects, improving data flow across systems, and helping maintain accurate, high-performing data environments.<br><br>Responsibilities:<br>• Design, build, and maintain SQL Server database solutions that support business applications and reporting needs.<br>• Develop and enhance ETL workflows to move, transform, and validate data from multiple sources into target systems.<br>• Create, test, and optimize stored procedures, queries, and other T-SQL components for performance and reliability.<br>• Troubleshoot database issues, identify root causes, and implement fixes to improve data quality and system stability.<br>• Collaborate with technical and business teams to understand data requirements and translate them into scalable database designs.<br>• Monitor database performance and refine indexing, query logic, and execution efficiency to support ongoing operations.<br>• Document database structures, data movement processes, and development standards to support maintainability and knowledge sharing.
We are looking for a Database Developer to join a high-impact team, supporting executive reporting and analytics initiatives. This long-term contract position will focus on creating effective business intelligence solutions, transforming complex HR and benefits data into meaningful insights for senior leadership. The role offers strong visibility across the organization and requires a hands-on individual who can combine database expertise, reporting development, and data validation to deliver dependable decision-support tools.<br><br>Responsibilities:<br>• Create and enhance executive-facing dashboards and visual reports using Power BI to present business performance clearly and effectively.<br>• Develop reporting solutions centered on HR, benefits, claims, and cost-related data to support strategic analysis and leadership review.<br>• Examine trends and variances across metrics such as claims activity, overall spend, cost per member, and cost per claim.<br>• Work closely with analytics leadership and other key stakeholders to gather reporting needs and convert them into intuitive dashboard designs.<br>• Extract, transform, and validate data from source systems using SQL-based tools and related data techniques to support accurate reporting.<br>• Use advanced Excel capabilities to perform supplemental analysis, reconcile datasets, and assist with reporting deliverables.<br>• Maintain high standards for data integrity, consistency, and presentation quality in materials prepared for executive audiences.<br>• Support a small IT environment by contributing technical insight and responsive reporting expertise for high-visibility business initiatives.
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability.<br><br>Responsibilities:<br>• Design and implement database solutions that align with business requirements and technical specifications.<br>• Optimize and tune database performance to ensure efficiency and scalability.<br>• Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions.<br>• Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures.<br>• Monitor and maintain database systems, performing regular updates and performance checks.<br>• Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment.<br>• Stay updated on emerging technologies and integrate new tools into existing systems as needed.<br>• Provide technical guidance and support to team members regarding database-related issues.<br>• Ensure data integrity and security through regular audits and implementation of best practices.
<p>We are looking for a Mid-Level Database Developer to join a Financial Services team on a long-term contract assignment. This position supports the creation and upkeep of data-focused applications, cloud-enabled services, interfaces, and reporting solutions that help move information reliably across the business. The role offers the opportunity to work closely with engineers, analysts, architects, and stakeholders while building practical experience in both data engineering and software development.</p><p><br></p><p>Responsibilities:</p><p>• Build, enhance, and support data workflows and backend processes using Python, Java, SQL, Azure, and related technologies.</p><p>• Move and refine data between multiple platforms by extracting, transforming, validating, and loading information across varied source and destination systems.</p><p>• Contribute to cloud-based engineering solutions, including services for storage, processing, orchestration, monitoring, and analytics.</p><p>• Create and improve database objects such as queries, views, stored procedures, and transformation logic to support performance and reliability.</p><p>• Assist with integrating data across both relational and non-relational environments while helping maintain consistent and accurate datasets.</p><p>• Develop, test, and support software components and services that interact with internal platforms and external applications.</p><p>• Work with REST and GraphQL interfaces by building or consuming endpoints, handling authentication, managing requests and responses, and supporting error handling.</p><p>• Monitor pipelines, APIs, and applications to identify processing issues, troubleshoot defects, and improve data quality and overall system performance.</p><p>• Produce and maintain dashboards and reports in tools such as Tableau and Power BI to support operational and business visibility.</p><p>• Document technical workflows, specifications, transformation rules, and support procedures while collaborating through GitHub, code reviews, testing, and deployment activities.</p>
We are looking for a skilled Microsoft SQL Database Administrator to support enterprise database operations in West Des Moines, Iowa. This long-term contract position focuses on maintaining secure, stable, and high-performing database platforms within a regulated insurance environment. The role works closely with application, infrastructure, cybersecurity, and data teams to strengthen reliability, protect data integrity, and improve day-to-day database operations.<br><br>Responsibilities:<br>• Administer and support enterprise database platforms by handling installation, configuration, and ongoing maintenance activities.<br>• Monitor database availability, system health, and performance trends to help ensure dependable production operations.<br>• Investigate operational issues, identify root causes, and restore database services with minimal disruption.<br>• Optimize queries, configurations, and resource usage to improve overall database efficiency and responsiveness.<br>• Establish and manage backup, restore, and recovery procedures to protect business-critical data.<br>• Maintain high-availability and disaster recovery capabilities to support resilience and business continuity objectives.<br>• Manage database access by maintaining security settings, permissions, and user provisioning in accordance with governance standards.<br>• Perform upgrades, patching, and routine maintenance while reducing operational risk across environments.<br>• Automate recurring administrative tasks using scripting and standardized processes to improve efficiency.<br>• Collaborate with technical teams on database migrations, environment refreshes, capacity planning, and operational documentation.
<p>We are seeking a Data Engineer to develop and maintain scalable data pipelines and cloud-based data platforms. This role will work closely with analytics and business teams to deliver reliable, high-quality data solutions.</p><p>Responsibilities</p><ul><li>Build and maintain ETL/ELT processes.</li><li>Develop data pipelines for structured and unstructured data.</li><li>Support enterprise data warehouse solutions.</li><li>Optimize data models and database performance.</li><li>Implement data quality and governance standards.</li><li>Collaborate with business intelligence teams.</li></ul><p><br></p>
<p>Robert Half is working with a client in the metro-Atlanta area seeking a Data Engineer.</p><ul><li>Develop ETL/ELT pipelines</li><li>Integrate multiple data sources</li><li>Optimize performance</li><li>Build data models</li><li>Manage cloud environments</li><li>Support analytics teams</li></ul>
<p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
<p>Robert Half is seeking an <strong>Enterprise Data Modeler</strong> to support a major enterprise data initiative for a professional services organization based in Seattle, WA. This consultant will help develop a governed semantic data layer using Denodo, creating consistent business definitions and trusted data models to support reporting, analytics, and AI-assisted data access.</p><p><br></p><p><strong>Duration: </strong>6 months contract to hire </p><p><strong>Location: </strong>100% remote </p><p><strong>Schedule: </strong>Monday - Friday - CST hours </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and maintain conceptual, logical, and semantic data models that establish consistent business definitions and relationships across enterprise data.</li><li>Build and support Denodo base, derived, interface, and semantic views for reporting, analytics, and AI applications.</li><li>Apply enterprise data modeling standards for naming conventions, keys, relationships, reusable entities, and certified reporting views.</li><li>Reconcile conflicting data definitions, identifiers, and business rules across multiple source systems.</li><li>Define and maintain Denodo metadata, associations, descriptions, and business terminology to support reporting tools and AI-assisted querying.</li><li>Collaborate with data governance and security teams to support data classification, lineage, privacy, and access controls.</li><li>Align data models with master data management (MDM) standards, business glossaries, and data catalog tools such as Collibra.</li><li>Support AI and MCP-based use cases by defining business terminology, synonyms, sample questions, and testing criteria for data query accuracy.</li><li>Maintain documentation, including data dictionaries, entity catalogs, source-to-target mappings, lineage, and modeling standards.</li></ul>
We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs.<br><br>Responsibilities:<br>• Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls.<br>• Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment.<br>• Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model.<br>• Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options.<br>• Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control.<br>• Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations.<br>• Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
<p>We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.</p><p>• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.</p><p>• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.</p><p>• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.</p><p>• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.</p><p>• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.</p><p>• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.</p>
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
<p>We are looking for a Data Engineer to join an immediate contract opportunity in Woodbury, Minnesota. In this role, you will help advance a customer-focused analytics platform by creating reliable data solutions that support reporting, APIs, and interactive insights. You will work closely with technical and business partners to shape scalable data structures and deliver high-quality information products in a collaborative environment.</p><p><br></p><p>Responsibilities:</p><p>• Create and support robust data pipelines that move and prepare information for analytics and downstream applications.</p><p>• Build transformation workflows using dbt and optimize processing logic with Python, Spark SQL, and PySpark.</p><p>• Coordinate scheduled and dependency-driven data jobs with Apache Airflow to ensure consistent delivery.</p><p>• Ingest and manage data within an on-premises environment, maintaining efficiency, quality, and availability.</p><p>• Develop data services and API-ready outputs so customers can access information through external BI and analytics tools.</p><p>• Contribute to semantic and visualization layers, including tools such as Cube.dev or similar platforms, to improve analytics usability.</p><p>• Partner with application and dashboard developers to align data structures with customer-facing reporting needs.</p><p>• Work with stakeholders across product, business, and engineering teams to define solutions that support platform goals and user expectations.</p><p>• Apply modern development practices and AI-assisted tools where appropriate to improve productivity and accelerate delivery.</p>
<p>Robert Half is seeking an experienced <strong>Data Visualization Engineer with strong Denodo expertise</strong> to support a<strong> </strong>law firm and its growing data and analytics initiatives. This role will focus on building and optimizing data services, integrating information from multiple enterprise platforms, and creating the interface layer that enables meaningful visualization and reporting across the firm. A key area of focus will be supporting analytics related to AI tool adoption and usage, helping business and technology leaders gain visibility into how AI technologies are being utilized across legal and operational teams.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain data views and data services within the Denodo platform.</li><li>Connect and integrate data from multiple enterprise systems, including ERP, CRM, HRIS, and other business applications.</li><li>Build and manage base views, derived views, and interface views.</li><li>Create and maintain data virtualization solutions that support reporting and visualization initiatives.</li><li>Develop and troubleshoot API integrations, including authentication methods such as OAuth and Basic Authentication.</li><li>Validate and test integrations using Postman, Swagger, and related tools.</li><li>Investigate and resolve data connectivity and API-related issues.</li><li>Partner with business leaders and end users to understand reporting requirements and deliver scalable data solutions.</li><li>Support visualization and analytics efforts related to AI tool usage, adoption metrics, and operational reporting.</li></ul>
We are looking for a Data Engineer to help maintain and improve a mission-driven technology environment that supports essential nonprofit operations in Battle Creek, Michigan. This position blends application support, database engineering, and systems integration work, making it ideal for someone who enjoys solving technical problems across multiple platforms. The role works closely with internal teams and external partners to keep business systems reliable, data accurate, and reporting processes running smoothly.<br><br>Responsibilities:<br>• Maintain and resolve issues across core business applications, including Dynamics 365 Business Central, Microsoft 365, SharePoint, Power BI, procurement tools, workforce systems, and other connected platforms.<br>• Administer Microsoft SQL Server environments by monitoring system health, tuning performance, managing security access, and overseeing backup, recovery, upgrade, and capacity planning activities.<br>• Build, refine, and troubleshoot SQL queries to support operational needs while identifying and correcting data consistency, accuracy, and reconciliation problems between systems.<br>• Develop and support integrations, APIs, ETL processes, Azure Data Factory workflows, scheduled data exchanges, and SFTP-based transfers to ensure dependable movement of information across platforms.<br>• Investigate reporting and data warehouse issues by resolving failed loads, refresh interruptions, and mismatches between source systems and business intelligence outputs.<br>• Contribute to software rollouts and system enhancements through testing, data conversion support, deployment activities, post-launch issue resolution, and production stabilization efforts.<br>• Partner with software vendors and external service providers to diagnose complex technical challenges and drive incidents through to completion.<br>• Create and maintain clear technical documentation for applications, databases, integrations, and data flows while sharing knowledge with teammates to strengthen team coverage.<br>• Support both strategic engineering work and day-to-day technical tasks within a collaborative IT team, adapting to changing priorities as needed.
<p>We are looking for a Data Engineer to design, build, and maintain scalable data pipelines on Microsoft Azure. This role will support enterprise reporting, analytics, and machine learning initiatives by ensuring the availability and integrity of critical business data.</p><p>Responsibilities</p><ul><li>Design and develop ETL/ELT data pipelines</li><li>Build and maintain Azure data platforms and data lakes</li><li>Integrate data from APIs, databases, and third-party systems</li><li>Develop data models supporting analytics and reporting</li><li>Optimize database and pipeline performance</li><li>Implement data quality and monitoring solutions</li><li>Collaborate with analysts, developers, and business users</li></ul><p><br></p>
<p><strong>Robert Half is working with a client who is looking to hire a Data Engineer</strong> to support a growing enterprise data and analytics initiative. This individual will help build and modernize the data pipelines, integrations, and cloud-based data infrastructure used across the organization.</p><p>The ideal candidate has experience working with large datasets, modern cloud data platforms, and production-grade ETL/ELT pipelines. This role will work closely with Data Architects, Analytics Engineers, BI teams, and business stakeholders as the organization expands its enterprise data capabilities.</p><p>Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines.</li><li>Integrate structured and unstructured data from multiple enterprise systems.</li><li>Develop and optimize data models used for analytics and reporting.</li><li>Build solutions within cloud data environments such as Azure, AWS, or GCP.</li><li>Monitor data pipelines for performance, reliability, and data quality.</li><li>Partner with analysts, architects, and application teams to understand data requirements.</li><li>Support the migration of legacy data workloads to modern cloud platforms.</li><li>Develop reusable frameworks and automation for data processing.</li></ul><p><br></p>
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.
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.