We are looking for a detail-focused Data Analyst to join a utilities and infrastructure organization in Hampton, New Hampshire. This Long-term Contract opportunity is ideal for someone who can support reporting, data quality, and integration-related activities while working closely with project and business teams. The position will contribute during system implementation and continue to play an important role in ongoing reporting and data operations after launch.<br><br>Responsibilities:<br>• Partner with implementation stakeholders to develop reporting assets and organize supporting data documentation.<br>• Carry out system and user testing activities, record issues clearly, and help monitor them through resolution.<br>• Compare source and target data to identify discrepancies and support accurate reconciliation efforts.<br>• Assist with large-volume data validation and conversion tasks while following established quality standards.<br>• Maintain and enhance recurring reports that support day-to-day business decision-making.<br>• Keep report inventories and data documentation current to improve usability and governance.<br>• Perform routine data checks, bulk data updates, and file-based import activities with a high level of accuracy.<br>• Provide support for integration workflows and data movement processes, expanding ownership as experience grows.
<p>We are looking for a Data Analyst to support reporting, data interpretation, and decision making. This role turns business questions into clear data plans, builds practical reporting solutions, and delivers insights that non-technical stakeholders can use confidently. The position works across multiple databases and reporting tools to organize information, evaluate trends, and present findings in a concise and meaningful way.</p><p><br></p><p>Responsibilities:</p><p>• Translate stakeholder needs into organized data extraction and reporting approaches that support business decisions.</p><p>• Develop clear reports, analytical summaries, and impact models that make complex information accessible to operational teams.</p><p>• Query source systems and work with database structures, tables, and stored procedures across multiple platforms to gather accurate data.</p><p>• Combine information from different datasets to create reliable measures, validate results, and connect summary trends to detailed records.</p><p>• Build and maintain Excel-based dashboards, pivot-driven analyses, and presentation materials for business review discussions.</p><p>• Use SQL, Excel, Power BI, and presentation tools to deliver recurring and ad hoc analysis for business partners.</p><p>• Interpret relational data structures and support reporting solutions that align with data warehouse and schema design principles.</p><p>• Ensure all analytical work is completed with accuracy, professionalism, and consistency with organizational standarss</p>
<p>We are looking for a Data Analyst to join a contract assignment supporting a high-volume accounting data initiative in Downtown San Diego, California. This role is centered on preparing, reviewing, and organizing large datasets so they can be accurately loaded into Yardi, with a strong emphasis on precision, consistency, and process adherence. The position is best suited for someone who is highly skilled in Excel, comfortable working independently, and able to manage detailed data tasks within project deadlines.</p><p><br></p><p>Responsibilities:</p><p>• Collect accounting-related data from source platforms and organize it for conversion into Yardi-compatible formats.</p><p>• Clean, standardize, and structure datasets to align with upload specifications and project rules.</p><p>• Compare source information against converted files to verify accuracy and investigate mismatches.</p><p>• Research routine data issues, correct inconsistencies, and resolve exceptions within established procedures.</p><p>• Carry out conversion activities according to documented workflows and recommend practical refinements when needed.</p><p>• Record reconciliation results, data updates, and supporting details to maintain clear project documentation.</p><p>• Assist with testing and quality review efforts to confirm data integrity throughout the conversion process.</p><p>• Partner with accounting, operations, and project stakeholders to keep deliverables on track and meet target timelines.</p><p>• Raise complex accounting or system-related concerns to project leadership for further review and guidance.</p>
We are looking for a Software Engineer / Data Engineer to build and enhance internal platforms that support research, analytics, and investment workflows in New York, New York. This role combines product-minded software development with data engineering, giving you the opportunity to create scalable applications, shape technical architecture, and improve how teams access and use information. You will work closely with analysts and data specialists to turn complex needs into reliable tools that streamline decision-making and expand internal AI capabilities.<br><br>Responsibilities:<br>• Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm.<br>• Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality.<br>• Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products.<br>• Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development.<br>• Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality.<br>• Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools.<br>• Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms.
Job Responsibilities Design, build, and maintain scalable ERP data pipelines for platforms such as Workday and enterprise systems Own end‑to‑end lifecycle of ERP data pipelines (ingestion → transformation → delivery) Support data conversion and migration initiatives (e.g., M&A, system integrations) Ensure pipeline reliability, recoverability, and stable production operations Troubleshoot pipeline failures and resolve root causes of data defects and operational issues Partner with business analysts and stakeholders to translate requirements into data solutions Implement and enforce SDLC best practices (version control, code reviews, CI/CD, release management) Develop and maintain data quality controls (freshness, completeness, anomaly detection, schema management) Detect and manage schema drift and downstream data issues proactively Build and maintain monitoring, alerting, and observability for data pipelines Optimize performance, scalability, and cost of data workloads Track operational KPIs (e.g., pipeline success rates, SLAs, incident trends, recovery times) Create runbooks, documentation, and audit‑ready operational processes Collaborate with data governance, security, and compliance teams on controls and data access Support analytics, reporting, and integration teams with reliable, well‑governed datasets Communicate effectively with technical and non‑technical stakeholders and escalate risks early
We are looking for a Database Developer to support a manufacturing organization in Dayton, Ohio by building connected reporting solutions across plant systems and Microsoft technologies. This Long-term Contract position will focus on creating dependable, real-time visibility into production data through Power Platform, SharePoint, and Power BI tools. The ideal candidate is comfortable taking technical ownership, resolving integration challenges, and delivering practical solutions with limited day-to-day direction.<br><br>Responsibilities:<br>• Build and maintain integrations across Power Apps, SharePoint, and Power BI to deliver timely production reporting and visual dashboards.<br>• Connect manufacturing equipment with Microsoft-based platforms so operational data can be captured and displayed accurately.<br>• Create and support data pipelines that power live shop-floor metrics, reporting views, and management dashboards.<br>• Organize and enhance SharePoint lists, libraries, and related data structures to function as a reliable central repository.<br>• Diagnose and resolve issues affecting system integration, data flow performance, and connectivity between plant equipment and reporting tools.<br>• Monitor and improve the stability of networked data transmission to help ensure consistent communication across connected systems.<br>• Partner with operations teams and site leadership to translate business reporting needs into effective technical solutions.<br>• Verify data quality, investigate discrepancies, and optimize overall platform reliability for production reporting.<br>• Support the deployment and refinement of Power BI dashboards as the reporting environment continues to expand.
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
We are looking for a Senior Data Engineer to join a growing data team supporting an innovative healthcare-focused program in Boston, Massachusetts. In this role, you will design and optimize data solutions that transform complex patient, medical, financial, and marketing information into reliable assets for analytics and leadership reporting. This position offers the opportunity to work remotely while partnering closely with technical and business stakeholders to build scalable data pipelines in a modern Azure environment.<br><br>Responsibilities:<br>• Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use.<br>• Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture.<br>• Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights.<br>• Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams.<br>• Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows.<br>• Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform.<br>• Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability.<br>• Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
We are looking for a Security Data Engineer to join our team in Costa Mesa, California in a contract capacity with the potential for a permanent role. This position is focused on advancing a well-established data lake environment by strengthening the ingestion layer, expanding connectivity to additional systems, and ensuring reliable movement of security-relevant data. The person in this role will take ownership of pipeline operations, partner with internal system stakeholders to enable access, and help keep incoming data accurate, timely, and usable for downstream needs.<br><br>Responsibilities:<br>• Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets.<br>• Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows.<br>• Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations.<br>• Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed.<br>• Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem.<br>• Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion.<br>• Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets.<br>• Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations.
We are looking for a Data/Information Architect to lead the design of advanced AI and data solutions that support strategic business goals in Richardson, Texas. This role blends architecture leadership with hands-on experimentation, requiring someone who can translate complex business needs into scalable technical approaches. The ideal candidate will assess emerging technologies, shape future-state architecture, and guide teams in bringing practical AI and machine learning capabilities into enterprise environments.<br><br>Responsibilities:<br>• Partner with business stakeholders and technical teams to define high-value AI and machine learning use cases and shape solution approaches that align with organizational objectives.<br>• Design enterprise architecture for intelligent systems spanning machine learning, generative AI, deep learning, virtual assistants, and cognitive technologies such as image and language processing.<br>• Produce target-state architecture artifacts and validate proposed designs through prototypes, pilot solutions, and minimum viable products.<br>• Review external platforms, tools, and vendor offerings in the AI/ML landscape and recommend options based on business fit, technical readiness, and long-term value.<br>• Contribute to strategic roadmaps covering AI, machine learning, advanced analytics, large language models, agent-based solutions, computer vision, data platforms, and event-driven processing.<br>• Stay current with industry advancements by continuously researching emerging practices, frameworks, and architectural patterns across AI and cloud-native technologies.<br>• Build proof-of-concept solutions quickly and independently to test models, algorithms, and technical approaches against real business challenges.<br>• Prepare and analyze data for experimentation by scripting data discovery, cleansing, transformation, and feature development activities across varied datasets.<br>• Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows.
<p>Robert Half is seeking a Collibra Data Governance Analyst for a client looking to strengthen and mature its enterprise data governance program. This role will be responsible for configuring and administering the organization's metadata management platform, ensuring critical data assets, business definitions, policies, and lineage are accurately documented and governed across the enterprise.</p><p><br></p><p><strong>Duration:</strong> 3 months with potential to extend</p><p><strong>Location: </strong>100% Remote</p><p><strong>Schedule:</strong> Monday - Friday 8 to 5pm (Core Hours)</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Configure and maintain the firm's enterprise metadata management platform (Collibra) to accurately represent critical data assets and governance policies.</li><li>Implement and administer metadata management processes that support enterprise-wide data governance initiatives.</li><li>Build, maintain, and enhance business glossaries and data dictionaries to establish consistent data definitions across the organization.</li><li>Design and implement operating models, asset models, and metamodels within Collibra while ensuring usability for both technical and non-technical stakeholders.</li><li>Develop and manage workflows, reference data, and data lineage harvesting processes.</li><li>Create and maintain asset types, domain types, attributes, and relationships that accurately describe and classify key business data.</li><li>Validate and document data lineage from source systems through downstream consumption points.</li><li>Partner with business stakeholders, data owners, and governance councils to drive adoption of governance standards and best practices.</li><li>Translate complex data governance concepts into clear, actionable standards for both business and technical teams.</li></ul>
<p>We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.</p><p>• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.</p><p>• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.</p><p>• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.</p><p>• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.</p><p>• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.</p><p>• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.</p><p>• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.</p>
We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions.<br><br>Responsibilities:<br>• Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders.<br>• Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction.<br>• Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs.<br>• Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities.<br>• Investigate system-related issues through root cause analysis and present recommendations backed by data findings.<br>• Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments.<br>• Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making.<br>• Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
<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><strong>Data Engineer (Python / AWS)</strong></p><p><strong>Location:</strong> Remote (Northeast / Greater Boston area preferred)</p><p><strong>Type:</strong> Full-Time</p><p><strong>Level:</strong> Mid-to-Senior Individual Contributor</p><p><strong>About the Role</strong></p><p>We are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.</p><p>This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.</p><p>This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul><p><br></p>
RESPONSIBILITIES:<br>ML Model Deployment & Platform Management<br>• Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints.<br>• Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments.<br>• Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance.<br>• Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines.<br>Generative AI & LLM Operations<br>• Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research.<br>• Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents.<br>• Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance.<br>• Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications.<br>• Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.<br>• Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution.<br>Automation & CI/CD Pipelines<br>• Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles.<br>• Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools.<br>• Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance.<br><br>Responsibilities:<br>• Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use.<br>• Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management.<br>• Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog.<br>• Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows.<br>• Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content.<br>• Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents.<br>• Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations.<br>• Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications.<br>• Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs.<br>• Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
We are looking for an experienced Database Administrator to support and optimize critical database environments for a contract assignment in Illinois. This contract position is ideal for a detail-oriented candidate who brings deep expertise in database performance, stability, and capacity planning across complex Microsoft SQL Server landscapes. The role will focus on improving efficiency, safeguarding availability, and providing clear technical guidance to a range of stakeholders.<br><br>Responsibilities:<br>• Analyze database performance trends and resolve bottlenecks using wait statistics, execution plan reviews, and deadlock investigation techniques.<br>• Design and refine indexing approaches to improve query efficiency and support large-scale data processing workloads.<br>• Administer high-availability database environments, including clustered deployments, AlwaysOn configurations, and multi-instance setups.<br>• Use monitoring and diagnostic platforms such as Redgate, SQL profiling tools, and stress-testing solutions to evaluate system health and performance.<br>• Partner with technical teams to optimize partitioning strategies for large datasets and strengthen overall database reliability.<br>• Support database-related components and processes connected to SSIS and SSRS within the broader data environment.<br>• Configure and maintain database server settings in coordination with Windows Server administration, including memory allocation, access controls, and security practices.<br>• Communicate analysis results, risks, and recommended improvements clearly to both technical audiences and business stakeholders.
<p>We are looking for a Database Administrator to support a modern data environment within a growing organization in Charleston, South Carolina. In this role, you will help maintain a dependable, scalable platform that supports reporting, analytics, and emerging AI use cases. You will work closely with data, BI, and technical stakeholders to strengthen data operations, improve system performance, and promote effective platform management.</p><p><br></p><p>Responsibilities:</p><p>• Oversee daily administration of the Microsoft environment, ensuring data pipelines and dataflows run smoothly and interruptions are addressed quickly.</p><p>• Track platform health and performance, identify trends, and recommend improvements that enhance stability and efficiency.</p><p>• Develop consistent processes for incident tracking, root-cause analysis, and issue resolution to support dependable operations.</p><p>• Maintain clear technical documentation covering configurations, support procedures, and operational standards.</p><p>• Configure and support connections between internal platforms and external data sources to enable reliable integration across business systems.</p><p>• Investigate and resolve data movement issues, helping ensure accurate and timely delivery of information throughout the organization.</p><p>• Manage Azure resource usage and capacity planning, recommending adjustments that align performance with business demand.</p><p>• Collaborate with data engineers, BI professionals, and AI-focused teams to improve data structure, accessibility, and readiness for advanced analytics.</p><p>• Contribute to the ongoing development of a scalable data warehouse foundation designed to support reporting, analytics, and machine learning initiative</p>
<p>Robert Half is hiring! We are looking for a Database Administrator to support reliable, secure, and efficient data operations in Columbia, South Carolina. This role focuses on maintaining database objects, supporting reporting and analytics, and helping ensure critical data processes run smoothly. The ideal candidate combines strong SQL Server knowledge with solid troubleshooting ability and a proactive approach to improving data workflows.</p><p><br></p><p>Responsibilities:</p><p>• Develop, validate, and maintain SQL queries, stored procedures, tables, and views that support operational reporting, analytics, and business needs.</p><p>• Administer database security by setting up user access, assigning roles, and maintaining appropriate permission levels across systems.</p><p>• Build, schedule, and update SQL Server Agent jobs while monitoring execution results and addressing failures in a timely manner.</p><p>• Partner with business intelligence stakeholders to refine database logic and improve reporting accuracy and usability for departments.</p><p>• Support ETL-related processes that bring together data from multiple sources to improve consistency and accessibility.</p><p>• Monitor the health of recurring jobs and essential data pipelines to help maintain dependable system availability.</p><p>• Troubleshoot database and workflow issues, identify root causes, and implement practical fixes to reduce disruption.</p><p>• Stay current with evolving data tools, cloud platforms, and emerging technologies that may enhance database administration and reporting capabilities.</p>
We are looking for a Database Administrator to support and strengthen system performance, reporting, and data integrity for a hospitality organization in Greenville, South Carolina. This role partners with teams across the business to improve how database-driven tools are used, resolve technical issues efficiently, and turn operational needs into practical solutions. The ideal candidate brings strong administrative experience, a service-minded approach, and the ability to balance day-to-day support with long-term system optimization.<br><br>Responsibilities:<br>• Partner with internal departments to identify operational needs, translate them into system requirements, and recommend practical database and application improvements.<br>• Work closely with marketing, development, finance, and other teams to encourage effective platform usage and ensure users are prepared to use available features successfully.<br>• Monitor application and database performance, coordinate with external vendors when needed, and help manage upgrades and environment health.<br>• Respond to user support requests related to core systems, troubleshoot issues thoroughly, and escalate complex problems to third-party providers when appropriate.<br>• Produce reports, extract data, and deliver clear analysis that supports leadership decision-making and business planning.<br>• Contribute to data governance efforts by promoting accurate records, guiding duplicate resolution, and supporting ongoing data quality initiatives.<br>• Review existing workflows tied to database-supported systems and develop more efficient processes that improve consistency, accuracy, and user experience.<br>• Maintain security access, backup routines, and scheduled maintenance activities to protect data and support reliable system operations.<br>• Document system structures, standards, and definitions to improve transparency and help users better understand available data resources.
<p>We are looking for a Database Administrator with a strong background in database administration to join our team in Cleveland, Ohio. In this role, you will be responsible for designing, implementing, and maintaining database systems to meet business needs while ensuring optimal performance and security. The ideal candidate will have a proven track record in managing complex database solutions and collaborating with stakeholders to deliver high-quality results.</p><p><br></p><p>Responsibilities:</p><p>• Assess database requirements by engaging with stakeholders and analyzing current and future application needs.</p><p>• Design and recommend database structures, security protocols, and backup and recovery strategies tailored to business objectives.</p><p>• Develop technical specifications for application upgrades and new implementations, ensuring alignment with project goals.</p><p>• Collaborate with project managers, system owners, and vendors to coordinate installation requirements and schedules.</p><p>• Create detailed project plans and timelines for database installations and software releases.</p><p>• Implement database systems based on technical requirements and business processes.</p><p>• Optimize database performance by configuring parameters and deploying updates for Oracle and Microsoft SQL Server.</p><p>• Monitor and fine-tune database systems to ensure reliability, efficiency, and scalability.</p><p>• Provide technical guidance and support for cloud-based database solutions, including AWS, Azure, and Google Cloud Platform.</p><p>• Stay up-to-date with advancements in database technologies to recommend improvements and innovative solutions.</p>
<p>We are looking for a Database Administrator to join a team supporting complex enterprise database environments. This opportunity is ideal for someone who excels at maintaining stable, secure, and efficient database systems while partnering with technical teams to solve performance and availability challenges. The role centers on administration, optimization, recovery planning, and continuous improvement across Oracle and Microsoft SQL Server platforms.</p><p><br></p><p>Responsibilities:</p><p>• Administer and maintain enterprise database platforms, including Oracle and Microsoft SQL Server, to support reliable day-to-day operations.</p><p>• Monitor database health proactively, investigate issues quickly, and take corrective action to improve stability and system performance.</p><p>• Analyze execution behavior and refine database structures or queries to strengthen response times and overall efficiency.</p><p>• Develop, manage, and validate backup, recovery, and disaster recovery processes to protect critical data and maintain business continuity.</p><p>• Plan and perform database patching, upgrades, and version evaluations while minimizing operational risk.</p><p>• Configure and support clustered database environments, including troubleshooting failover and high-availability related issues.</p><p>• Work closely with application and development teams to resolve database-related incidents, support releases, and align technical solutions with business needs.</p><p>• Maintain clear operational documentation, track service requests through resolution, and respond to alerts or escalations within established service expectations.</p>
We are looking for a detail-oriented Database Administrator to support fundraising operations through reliable database stewardship and reporting in Fairlee, Vermont. This Contract position focuses on maintaining and improving the performance of a Raiser’s Edge environment, helping teams manage donor information, gifts, event records, and outreach activity with accuracy and care. The role works closely with finance and internal stakeholders to uphold data quality, security, and compliance while supporting day-to-day database needs in a hybrid work setting.<br><br>Responsibilities:<br>• Oversee the daily administration of the Raiser’s Edge database, keeping constituent and fundraising records complete, accurate, and current.<br>• Build and manage imports, queries, exports, and reports that support campaigns, development activity, events, and leadership reporting needs.<br>• Record and track donations, pledges, acknowledgements, and online contributions with a high level of precision and timeliness.<br>• Partner with finance staff to balance donation records, prepare supporting documentation, and assist with audit and tax-related reporting requirements.<br>• Establish and maintain standards for data entry, record management, and database governance to promote consistency across the organization.<br>• Coordinate event-related data activities, including registrations, participant records, and outcome reporting using Raiser’s Edge and associated online tools.<br>• Provide user support by answering questions, resolving system issues, and guiding staff on effective database practices.<br>• Safeguard sensitive information by monitoring system access, supporting database security practices, and helping ensure reliable system performance.
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a long-term contract opportunity based in Arlington, Texas. This role focuses on transforming complex business and contract-related information into clear reporting, actionable insights, and reliable analysis for stakeholders. The ideal candidate brings strong experience in business intelligence, data interpretation, and analytical tools, along with the ability to work accurately across large datasets in a fast-paced environment.<br><br>Responsibilities:<br>• Analyze business and contract-related data to identify trends, exceptions, and opportunities for operational improvement.<br>• Build and maintain dashboards, reports, and visual summaries that help stakeholders monitor performance and make informed decisions.<br>• Review commercial contract information and audit findings to validate accuracy, consistency, and compliance with established terms.<br>• Translate raw and structured data into meaningful insights by applying data abstraction techniques and analytical methodologies.<br>• Partner with business teams to gather reporting needs, define metrics, and deliver intelligence solutions aligned with organizational goals.<br>• Use business intelligence and data analysis tools to organize information, evaluate outcomes, and support strategic planning efforts.<br>• Investigate data discrepancies, reconcile inconsistencies, and recommend corrective actions to improve reporting reliability.<br>• Document analytical processes, reporting logic, and data definitions to support transparency and repeatable analysis.