<p>Endpoint Management Administrator – SCCM / Intune / Automation</p><p><br></p><p>Location: Marysville, OH</p><p>Work Arrangement: Onsite – 4 days per week</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Endpoint Management Administrator to manage and modernize enterprise endpoint environments across Windows platforms. This role focuses on device lifecycle management, software deployment, patching, and compliance, while driving efficiency through automation and modern device management practices.</p><p>The ideal candidate will bring strong expertise with SCCM/MECM, Microsoft Intune, and PowerShell automation, along with experience in cloud-based device management and AI-assisted operations. This role requires a detail-oriented engineer who can operate independently while collaborating across infrastructure, security, and operations teams.</p><p><br></p><p>Key Responsibilities</p><p>Endpoint Management & Administration</p><ul><li>Administer and maintain SCCM/MECM and Microsoft Intune environments</li><li>Manage device configurations, collections, compliance baselines, and co-management</li><li>Support Windows 10/11 endpoint environments</li></ul><p>Software Deployment & Patch Management</p><ul><li>Package, test, and deploy applications using SCCM and Intune</li><li>Manage patch cycles using SCCM, WSUS, and Intune</li><li>Monitor deployment success and troubleshoot failures</li></ul><p>Operating System Deployment (OSD)</p><ul><li>Build and maintain imaging solutions, task sequences, and Autopilot configurations</li><li>Manage device provisioning, driver packages, and hardware refresh initiatives</li></ul><p>Security & Compliance</p><ul><li>Enforce endpoint security baselines and compliance policies</li><li>Support vulnerability remediation and audit readiness</li><li>Implement endpoint protection controls and standards</li></ul><p>Automation & AI Enablement</p><ul><li>Develop advanced PowerShell scripts for automation and reporting</li><li>Leverage AI-assisted tools to optimize endpoint operations and workflows</li><li>Integrate APIs such as Microsoft Graph to automate provisioning and compliance</li></ul><p>Monitoring, Support & Optimization</p><ul><li>Provide Tier 3 support for endpoint-related issues</li><li>Monitor endpoint health, compliance, and performance metrics</li><li>Drive process improvements and operational efficiencies</li></ul>
<p>We are seeking an experienced NetSuite ERP Administrator to support, maintain, and optimize the NetSuite ERP environment within a manufacturing organization. This role partners closely with accounting, operations, and other business units to ensure the ERP system effectively supports material planning, financial processes, and reporting needs. The position also provides light IT systems support related to user access and device connectivity.</p><p><br></p><p>Key NetSuite Responsibilities</p><p>· Administer, configure, and support NetSuite ERP, ensuring system stability and data integrity</p><p>· Collaborate with accounting, manufacturing, and operations teams to support material management, planning, and financial workflows</p><p>· Manage user roles, permissions, and access within NetSuite</p><p>· Develop and maintain reports and queries using SQL and NetSuite reporting tools</p><p>· Troubleshoot ERP-related issues and coordinate with internal teams or vendors as needed</p><p>· Support integration points and system enhancements; </p><p>· use SPS Commerce for these processes)</p><p>· Familiarity with BlendApps Bartender Label Integration. </p><p><br></p><p>Other Responsibilities</p><p> We are a lean team and we all pitch in where needed. </p><p>· Provide basic Microsoft Active Directory support, including user account management</p><p>· Help out with endpoint management when needed. </p><p>· Assist with printer and access-related issues as they relate to system users</p>
<p>Our client is seeking an experienced Learning Systems Administrator to own and optimize an enterprise Learning Management System (LMS). This role serves as the technical steward of the platform, ensuring system stability, strong governance, reliable integrations, and scalable configuration to support enterprise learning and compliance objectives.</p><p>This is a hands-on role suited for someone comfortable managing backend configuration, partnering across HR and IT, and establishing operational processes that enable the LMS to perform effectively at scale.</p><p>Key Responsibilities</p><p>LMS administration and system stability</p><ul><li>Own day-to-day administration and overall health of the LMS platform</li><li>Configure and maintain backend settings including security roles, workflows, automation rules, domains, and learning objects</li><li>Monitor system performance and proactively troubleshoot issues impacting reliability or usability</li><li>Manage releases, updates, patches, and regression testing</li><li>Maintain clear documentation of system configurations, standards, and technical decisions</li></ul><p>System development and optimization</p><ul><li>Design and implement scalable LMS enhancements aligned with enterprise learning strategy</li><li>Lead configuration improvements to streamline both learner and administrator experience</li><li>Evaluate new LMS features and recommend adoption where appropriate</li><li>Partner with HRIS, IT, and reporting teams to optimize integrations and data flows</li></ul><p>Governance and process management</p><ul><li>Establish and maintain LMS governance frameworks, including naming conventions, metadata standards, role-based security models, and change control processes</li><li>Define and document operational procedures to ensure consistency and scalability</li><li>Ensure compliance with data privacy, audit, and regulatory requirements</li><li>Implement internal controls to support reporting accuracy and system integrity</li></ul><p>Operational support and stakeholder partnership</p><ul><li>Serve as an escalation point for complex LMS issues</li><li>Translate business and learning requirements into effective system solutions</li><li>Support compliance reporting, audits, and certification tracking</li><li>Provide guidance and best practices to learning stakeholders and administrators</li></ul><p><br></p>
We are looking for an Enterprise AI and Platform Administrator to help advance secure, practical use of AI and collaboration technologies across the organization. This position supports teams in Enfield, Connecticut by strengthening platform administration, improving access governance, and enabling reliable day-to-day operations across core Microsoft environments. The ideal candidate brings a balance of technical administration, sound judgment, and the ability to guide stakeholders through evolving enterprise AI capabilities.<br><br>Responsibilities:<br>• Manage administrative functions across Microsoft 365, Power Platform, SharePoint, and Active Directory to maintain stable and efficient platform performance.<br>• Partner with business and technical stakeholders to evaluate user roles, permissions, and access models across enterprise systems.<br>• Apply and maintain least-privilege security practices through regular permission reviews and controlled delegation of access.<br>• Support configuration and governance of Entra ID identity settings and group-based access related to Copilot Studio agents.<br>• Contribute to the adoption of enterprise AI tools by helping define usage standards, oversight practices, and operational controls.<br>• Create clear technical documentation, maintain administrative records, and communicate platform updates or issues to relevant teams.<br>• Investigate platform-related problems, recommend corrective actions, and help implement solutions that improve reliability and user experience.
<p>We are looking for an organized administrative team member to support daily operational activities in Columbus. This Long-term Contract position offers the opportunity to handle data administration, purchasing coordination, reporting, and stakeholder communication in a fast-paced onsite environment. The ideal candidate brings strong attention to detail, comfort with routine systems work, and the ability to keep records accurate, timely, and confidential.</p><p><br></p><p>Responsibilities:</p><p>• Maintain and update operational databases related to regulated programs, ensuring records remain accurate, complete, and audit-ready.</p><p>• Coordinate the purchasing process for supplies and services from request through documentation, while keeping financial and administrative records organized.</p><p>• Monitor a shared mailbox, respond to routine inquiries, and route messages to the appropriate contacts for timely follow-up.</p><p>• Prepare reports, spreadsheets, charts, and other supporting materials to help leadership review operational performance and key data points.</p><p>• Conduct administrative research, complete business forms, and organize documentation needed to support day-to-day departmental functions.</p><p>• Safeguard sensitive files and maintain structured recordkeeping practices for both digital and paper-based information.</p><p>• Assist with scheduling, logistics, and general office coordination to help ensure smooth execution of business activities.</p>
We are looking for an experienced Manager, Data Governance to lead enterprise data governance efforts for a higher education organization in Philadelphia, Pennsylvania. This role will shape the framework, policies, and operating model that improve data quality, accountability, and compliance across departments. The ideal candidate brings deep experience guiding governance programs in complex environments and can connect technical data issues to practical institutional impact.<br><br>Responsibilities:<br>• Create and maintain enterprise data governance standards, policy documentation, and operating procedures that support consistent data practices across the organization.<br>• Partner with data stewards and business stakeholders to roll out governance processes covering metadata, cataloging, data quality, privacy, and policy adoption.<br>• Work closely with technology teams to evaluate, implement, and optimize governance platforms and supporting data management tools.<br>• Review datasets and data definitions to detect quality concerns, resolve inconsistencies, and strengthen trust in institutional information.<br>• Build governance structures and decision-making forums that address cross-functional dependencies, escalate issues, and reinforce compliance expectations.<br>• Lead governance councils, working groups, and project teams to coordinate initiatives, assign ownership, and drive alignment on shared data priorities.<br>• Develop and execute short- and long-range data governance plans that support organizational goals and sustainable program maturity.<br>• Monitor adherence to governance policies and promote the accuracy, completeness, and consistency of data assets throughout the enterprise.
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 senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
<p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
We are looking for a Data Engineer to support and enhance critical data operations in Greenville, South Carolina. This role focuses on keeping data platforms dependable, efficient, and scalable across both real-time and scheduled workflows. The ideal candidate will bring strong technical expertise in cloud-based data environments and a proactive approach to improving performance, automation, and data reliability.<br><br>Responsibilities:<br>• Oversee the health and performance of data pipelines that run across Snowflake, Kafka, and connected platforms.<br>• Investigate operational issues affecting data ingestion, transformation, or downstream delivery and drive timely resolution.<br>• Maintain stable batch and streaming processes by improving resiliency, uptime, and overall execution efficiency.<br>• Administer Snowflake resources, including warehouses, databases, permissions, and usage optimization.<br>• Manage Kafka infrastructure by tuning clusters, topics, partitions, and consumer group behavior for reliable throughput.<br>• Create and maintain automated solutions for deployment, monitoring, failure recovery, and routine workflow support.<br>• Develop operational scripts and utilities using Python, Bash, and related tools to reduce manual effort and improve consistency.<br>• Contribute to CI/CD practices that strengthen the release and maintenance process for data infrastructure.<br>• Partner with engineering and analytics teams to improve pipeline design, data performance, and delivery accuracy.<br>• Support data governance, security, compliance, and data quality standards through validation checks and alerting frameworks.
<p>Our client is seeking a skilled <strong>Data Engineer</strong> to support the design, development and optimization of data pipelines, data models and automation solutions. This role requires strong experience with <strong>SQL, Python and Snowflake</strong>, along with the ability to assist with <strong>Selenium web scripting</strong> for automation initiatives. The ideal candidate will have hands-on expertise in <strong>ETL processes</strong>, data integration and data modeling, and will be comfortable working in a fast-paced, collaborative environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build and maintain scalable <strong>ETL pipelines</strong> to support data integration and reporting needs</li><li>Develop and optimize complex queries using <strong>SQL</strong></li><li>Use <strong>Python</strong> to support data processing, transformation and automation tasks</li><li>Work within <strong>Snowflake</strong> to manage, transform and optimize cloud-based data solutions</li><li>Assist with <strong>automation efforts</strong>, including <strong>Selenium web scripting</strong> for web-based data extraction and process automation</li><li>Create and maintain logical and physical <strong>data models</strong></li><li>Ensure data quality, integrity and consistency across multiple data sources</li><li>Collaborate with business stakeholders, analysts and technical teams to gather requirements and deliver data solutions</li><li>Monitor and troubleshoot data workflows and automation scripts</li><li>Document processes, workflows and technical specifications</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 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.
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract-to-permanent basis. This role focuses on building and enhancing modern data pipelines within a cloud-centered environment, with Snowflake serving as the primary data platform. The ideal candidate will help deliver production-ready solutions, strengthen data reliability, and apply disciplined engineering practices to support scalable, near real-time data processing.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake that support business reporting and data consumption needs.<br>• Create new ingestion and transformation workflows while troubleshooting pipeline issues to improve stability and performance.<br>• Contribute to a delivery model that balances new development with targeted optimization of existing data assets and workflows.<br>• Implement streaming and event-driven ingestion patterns using Kafka to support timely and scalable data movement.<br>• Improve observability across the data ecosystem by strengthening monitoring, alerting, and data quality controls.<br>• Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components.<br>• Apply sound software engineering standards, including maintainable code, documentation, and repeatable development practices.<br>• Support the advancement of testing and CI/CD processes by helping establish more consistent engineering workflows.<br>• Leverage AI-assisted development tools to accelerate coding, validation, and technical documentation where appropriate.
<p>We are proactively seeking experienced Data Engineers for upcoming contract and contract-to-hire opportunities with our clients across a variety of industries. These roles offer the opportunity to work on modern cloud data platforms, enterprise analytics initiatives, and large-scale data transformation projects.</p><p>The ideal candidate has strong experience building scalable data pipelines, supporting enterprise reporting and analytics environments, and working closely with BI, analytics, and engineering teams to deliver reliable, business-critical data solutions.</p><p><strong>Responsibilities</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines and data integration processes</li><li>Develop and optimize cloud-based data solutions within Azure, AWS, or GCP environments</li><li>Support enterprise BI and analytics initiatives by delivering clean, reliable, analytics-ready datasets</li><li>Work with large datasets across data warehouses, data lakes, and operational systems</li><li>Collaborate with business stakeholders, analysts, and development teams to gather requirements and deliver data solutions</li><li>Optimize SQL queries, database performance, and data processing workflows</li><li>Support data governance, quality, validation, and automation initiatives</li><li>Participate in data architecture, modernization, and migration projects</li></ul>
<p>We are seeking a skilled <strong>Data Engineer</strong> with strong experience in <strong>ETL development, Snowflake, and Python</strong> to join our team. This role will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions that support analytics, reporting, and business decision-making.</p><p>The ideal candidate has hands-on expertise in modern data engineering practices, strong problem-solving abilities, and experience working with structured and unstructured data in fast-paced environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain robust <strong>ETL/ELT pipelines</strong> for ingesting, transforming, and loading data from multiple sources</li><li>Build and optimize data solutions within <strong>Snowflake</strong></li><li>Develop reusable scripts and workflows using <strong>Python</strong></li><li>Integrate data from APIs, databases, flat files, and third-party platforms</li><li>Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability</li><li>Collaborate with analytics, engineering, and business teams to understand data requirements</li><li>Ensure data quality, integrity, governance, and security across platforms</li><li>Support data modeling, warehouse design, and performance tuning</li><li>Document technical designs, workflows, and operational processes</li><li>Participate in code reviews, testing, and deployment activities</li></ul><p><br></p>
We are looking for a Data Engineer to help strengthen enterprise data capabilities and expand access to reliable information across the organization. This position focuses on building scalable data solutions that support analytics, reporting, and informed decision-making. Based in San Diego, California, the role works closely with both technical and business stakeholders to deliver dependable, high-quality data assets.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines that move and transform information from diverse platforms into usable analytical datasets.<br>• Develop and support end-to-end integration workflows across multiple systems to ensure consistent and timely data delivery.<br>• Design data models and reporting structures that improve usability, performance, and accessibility for downstream analytics needs.<br>• Track data quality and platform performance, investigating issues and resolving reliability concerns before they affect business operations.<br>• Collaborate with cross-functional partners to translate reporting and analytics needs into scalable technical solutions.<br>• Maintain clear documentation and contribute to governance practices that promote accuracy, consistency, and operational discipline.<br>• Assist with validation, release activities, and continuous enhancements to improve the overall effectiveness of the data platform.<br>• Contribute to cloud-based data engineering efforts using tools such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Spark, Kafka, and Hadoop where appropriate.
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations.<br><br>Responsibilities:<br>• Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin.<br>• Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment.<br>• Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems.<br>• Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy.<br>• Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions.<br>• Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards.<br>• Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows.<br>• Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments.<br>• Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment.<br><br>Responsibilities:<br>• Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data.<br>• Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management.<br>• Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities.<br>• Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance.<br>• Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets.<br>• Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate.<br>• Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support.<br>• Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures.<br>• Protect data assets by applying security controls and compliance standards across the Databricks environment.<br>• Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule.
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract basis with the potential for a permanent role. This role focuses on designing and delivering modern data pipelines in a cloud-based environment, with an emphasis on reliability, quality, and scalable data processing. The position offers the opportunity to contribute to both new development and targeted improvements across an evolving data ecosystem centered on Snowflake and event-driven ingestion.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs.<br>• Create new data integration workflows while troubleshooting and resolving issues in existing pipelines.<br>• Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability.<br>• Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency.<br>• Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement.<br>• Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain.<br>• Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate.<br>• Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities.
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
<p>We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders.</p><p><br></p><p>This is a 3-6 month contract opportunity. </p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.</p><p>• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.</p><p>• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.</p><p>• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.</p><p>• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.</p><p>• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.</p><p>• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.</p><p>• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.</p><p>• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.</p>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
<p>We’re seeking a Data Engineer to design and build scalable data pipelines in a modern Azure environment. This role focuses on transforming raw data into reliable, analytics-ready datasets.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Build and maintain <strong>ETL/ELT pipelines</strong> using Azure Data Factory</li><li>Develop data solutions in <strong>Azure Databricks (PySpark / Spark)</strong></li><li>Optimize data processing performance and cost efficiency</li><li>Work with structured and unstructured data across cloud platforms</li><li>Collaborate with analytics and business stakeholders to define data requirements</li><li>Ensure data quality, governance, and documentation</li></ul><p><br></p>