<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>
<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>
<p>We're seeking a <strong>Senior SQL Database Administrator</strong> to support a large enterprise SQL Server environment. This role will focus on both day-to-day database administration and a major SQL Server modernization initiative, including upgrades to SQL Server 2025 and support for migrating large Oracle databases to SQL Server.</p><p>Responsibilities</p><ul><li>Administer and support enterprise SQL Server environments.</li><li>Lead SQL Server upgrades and modernization efforts.</li><li>Monitor, tune, and optimize database performance.</li><li>Develop automation using PowerShell and T-SQL.</li><li>Maintain database security, backups, and availability.</li><li>Support large-scale database migrations and enterprise initiatives.</li></ul><p><br></p>
<p>Robert Half is seeking an experienced Database Administrator to manage and support enterprise database environments with a primary focus on Microsoft SQL Server. This role is responsible for ensuring database availability, performance, security, and reliability for critical business applications. The position requires a high level of independence, strong troubleshooting ability, and collaboration with development and infrastructure teams.</p><p><br></p><p>This is a direct hire role with our partner in Madison, WI.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Administer, monitor, and maintain Microsoft SQL Server environments to ensure performance, reliability, and availability</li><li>Provide secondary support for Oracle database environments</li><li>Perform routine database maintenance including backups, restores, patching, upgrades, and health checks</li><li>Diagnose and resolve database performance issues, availability problems, and data integrity concerns</li><li>Design and maintain disaster recovery and business continuity solutions, including regular testing</li><li>Implement and maintain database security and access controls</li><li>Partner with application developers and infrastructure teams to support database-dependent systems</li><li>Support database platform upgrades, modernization efforts, and lifecycle management</li><li>Contribute to operational reporting related to backups, availability, and system health</li><li>Participate in on-call support for production database systems</li><li>Document database standards, procedures, and configurations</li></ul><p><br></p>
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.
We are looking for a highly experienced Database Developer to support a healthcare research organization on a short-term Contract assignment based in Boston, Massachusetts. This role is focused on hands-on PostgreSQL development and is best suited for an experienced specialist who brings deep database expertise rather than generalist application experience. The engagement will contribute to an active project and requires someone who can deliver quickly in a fully remote environment.<br><br>Responsibilities:<br>• Design, build, and refine PostgreSQL database solutions that support project goals within a healthcare-focused research setting.<br>• Create and optimize database queries, stored objects, and related structures to improve reliability, efficiency, and overall performance.<br>• Evaluate existing database environments and recommend practical enhancements for scalability, monitoring, and day-to-day operations.<br>• Support database administration activities, including performance tuning, mirroring considerations, and operational stability across cloud or hosted platforms.<br>• Partner with project stakeholders to translate technical needs into effective database designs and development deliverables.<br>• Contribute to database migration or environment change efforts when needed as part of the active project scope.<br>• Use tools such as pgAdmin and related PostgreSQL utilities to troubleshoot issues, manage objects, and maintain database health.
<p>We are looking for a Database Engineer to support the design, migration, and optimization of cloud-based data platforms. This role focuses on building reliable database solutions for large and complex datasets while enabling efficient delivery of information to applications, analytics tools, and other downstream consumers. The ideal candidate brings strong hands-on experience with cloud database technologies, Python development, and modern data engineering practices, along with the ability to contribute practical architectural insight.</p><p><br></p><p>Responsibilities:</p><p>• Lead the migration of database workloads to cloud-based environments, with particular emphasis on DynamoDB and DocumentDB implementations.</p><p>• Design, build, and maintain scalable data pipelines that process high-volume datasets and deliver dependable data to downstream services and presentation layers.</p><p>• Develop and optimize Python-based solutions to support database operations, automation, and data movement across distributed systems.</p><p>• Create and maintain database structures and access patterns for NoSQL and in-memory platforms, including Redis and related AI or vector-driven data use cases.</p><p>• Partner with engineering teams to define practical database architecture decisions and translate technical requirements into effective cloud implementations.</p><p>• Support search and retrieval capabilities by working with Solr and other data access technologies used across the environment.</p><p>• Implement scripting and automation tasks using shell scripting where needed to streamline deployment, maintenance, and operational workflows.</p><p>• Evaluate and integrate technologies such as ElastiCache, MemoryDB, MongoDB, and vector databases to meet performance, scalability, and application need.</p>
<p><strong>Database Administrator III</strong></p><p><strong>Location: Remote, Based out of Alpharetta, GA</strong></p><p><strong>Duration: Through 6-month contract, extensions likely</strong></p><p><br></p><p>We are looking for an experienced Database Administrator III to support database operations, complete database projects, and provide technical administration across production and development environments. The role requires deep MySQL production replication experience, cloud database knowledge, and a DevOps-focused approach to database stability, reliability, performance, and automation.</p><p><br></p><p><strong><u>Responsibilities</u></strong>:</p><ul><li>Support MySQL database management systems and related software </li><li>Design and build database environments </li><li>Develop estimates and schedules for new projects and system extensions </li><li>Provide database administration across development and production environments </li><li>Support MySQL production replication </li><li>Improve database stability, reliability, security, and performance </li><li>Expand database monitoring and observability capabilities </li><li>Automate database administration and operational processes </li><li>Support critical database issues during evenings or weekends as part of an on-call rotation </li><li>Manage multiple assignments and additional responsibilities </li></ul><p><br></p>
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.
We are looking for a Data Engineer to drive the design and delivery of scalable data solutions that support critical business objectives within the oil and gas sector. This position is based in King of Prussia, Pennsylvania, and combines technical execution with leadership responsibilities, including guiding a small team and shaping engineering best practices. The ideal candidate brings strong expertise in modern data platforms, builds dependable pipelines and models, and works comfortably across complex source systems to produce high-quality data assets.<br><br>Responsibilities:<br>• Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making.<br>• Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities.<br>• Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems.<br>• Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability.<br>• Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives.<br>• Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans.<br>• Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle.<br>• Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
<p>We are seeking a Data Engineer to join the Enterprise Applications team with a Higher Education client. This role is responsible for designing, building, and maintaining systems for collecting, storing, integrating, and analyzing data from multiple sources across the organization.</p><p><br></p><p>The Data Engineer will support a major admissions technology initiative involving the implementation of Slate CRM and will serve as a key resource for data conversion, migration, integration development, and data architecture efforts. The role will also contribute to data governance, security, and AI readiness initiatives.</p><p><br></p><p>This is a 6 month contract to hire role.</p><p><br></p><p><u>Responsibilities</u></p><ul><li>Collaborate with stakeholders to understand reporting, data, and analytics requirements.</li><li>Design, implement, document, and maintain data lakes and related data architectures.</li><li>Support data conversion, migration, and integration activities associated with the Slate CRM implementation.</li><li>Develop and maintain integrations between enterprise systems and applications.</li><li>Create and maintain data models, including star schema and dimensional models.</li><li>Prepare data environments for artificial intelligence (AI) adoption and usage.</li><li>Recommend technical solutions that align with business requirements.</li><li>Provide technical support for enterprise data systems and users.</li><li>Develop and maintain technical documentation, user guides, and operational procedures.</li><li>Manage system upgrades and enhancements, including testing and documentation updates.</li><li>Troubleshoot data access, data quality, and integration issues.</li><li>Develop and implement security configurations and support compliance with governance standards.</li><li>Create data validation methods and processes to ensure data accuracy and reliability.</li><li>Monitor system and integration performance and identify improvement opportunities.</li><li>Collaborate with internal teams and external vendors regarding system enhancements, fixes, and integrations.</li><li>Participate in planning and implementation of data-related initiatives.</li></ul>
We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data.<br>• Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations.<br>• Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services.<br>• Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality.<br>• Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals.<br>• Assess new data sources, determine their value and fit, and implement effective ingestion approaches.<br>• Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements.<br>• Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning.<br>• Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
We are looking for a Data Engineer to help shape and scale a modern cloud-based data environment in Wood Dale, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating reliable data solutions from the ground up and turning disconnected information into trusted reporting assets. You will work closely with business and technical partners to build a strong data foundation that improves visibility, consistency, and decision-making. The role offers a hands-on chance to define standards, streamline data delivery, and support long-term scalability in a collaborative team setting.<br><br>Responsibilities:<br>• Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting.<br>• Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems.<br>• Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users.<br>• Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting.<br>• Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions.<br>• Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python.<br>• Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time.<br>• Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.
<p>We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.</p><p>• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.</p><p>• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.</p><p>• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.</p><p>• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.</p><p>• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.</p><p>• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.</p><p>• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model</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.
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
<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>
<p>We are looking for a fully remote Data Engineer to support and enhance a modern data environment serving critical business reporting and analytics needs. This role will focus on maintaining reliable warehouse operations while expanding scalable data pipelines and improving how information is integrated across systems. This position is well suited for someone who enjoys hands-on engineering work, thoughtful data design, and close collaboration with technical stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the daily performance, stability, and upkeep of the data warehouse to ensure dependable access to trusted data.</p><p>• Design, build, and refine data pipelines that move and transform information efficiently across multiple platforms.</p><p>• Develop engineering solutions using Python, Spark, and Databricks to support large-scale data processing and analytics workloads.</p><p>• Create and maintain SQL-based data structures and workflows that improve data quality, usability, and consistency.</p><p>• Apply sound data modeling practices to organize datasets for reporting, analysis, and downstream application use.</p><p>• Partner with cross-functional teams to understand integration needs and deliver scalable data solutions aligned with business priorities.</p><p>• Support cloud-based data movement and orchestration processes, including work involving Azure Data Factory where needed.</p><p>• Contribute to reporting and visualization readiness by preparing well-structured datasets for tools such as Power BI, Tableau, or Looker.</p>
<p>Design and manage data pipelines, ensuring optimized performance for analytics and reporting. Support BI tools to provide actionable insights for decision-making.</p><p><br></p>
<p><strong>Key Responsibilities</strong></p><p><strong>Leadership & Team Mentoring </strong></p><ul><li>Lead, mentor, and develop a team of data engineers and BI developers.</li><li>Communicate business priorities, define goals, and establish clear KPIs to track performance and delivery.</li><li>Foster a collaborative and learning-oriented culture across technical and business functions.</li></ul><p><strong>Data Engineering </strong></p><ul><li>Design, build, and maintain scalable and efficient data pipelines and integrations across multiple internal and external systems.</li><li>Oversee ETL/ELT processes ensuring data accuracy, reliability, and timeliness.</li><li>Manage data models and data warehouse structures optimized for reporting, analytics, and advanced use cases (e.g., predictive modeling, machine learning).</li><li>Implement best practices in data architecture, automation, and version control (e.g., Git).</li></ul><p><strong> </strong></p><p><strong> </strong></p><p><strong>Business Intelligence & Reporting</strong></p><ul><li>Oversee the design and delivery of SSRS and Power BI dashboards, ensuring usability and alignment with business goals.</li><li>Establish and manage data visualization standards, reusable datasets, and semantic models for self-service analytics.</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications and BI solutions.</li></ul><p><br></p>
<p>Data Engineer</p><p>Location: Los Angeles, California</p><p>Employment Type: Full-Time</p><p>Robert Half is seeking a Data Engineer for an exciting opportunity with a Los Angeles-based organization. This role is ideal for a mid-level professional with 5 to 7 years of experience building modern data solutions and supporting scalable analytics environments. The ideal candidate will have strong experience with cloud platforms, data pipeline development and performance optimization. Based on general knowledge.</p><p>What You’ll Do</p><ul><li>Design, build and maintain scalable ETL/ELT pipelines. Based on general knowledge.</li><li>Integrate data from multiple sources to support reporting, analytics and business operations. Based on general knowledge.</li><li>Develop and optimize data models, workflows and warehouse structures. Based on general knowledge.</li><li>Support cloud-based data platforms and modern data architecture initiatives. Based on general knowledge.</li><li>Monitor data quality, troubleshoot issues and improve pipeline reliability. Based on general knowledge.</li><li>Collaborate with analysts, software engineers and business stakeholders to deliver data solutions. Based on general knowledge.</li><li>Help implement best practices for governance, security and operational efficiency. Based on general knowledge.</li></ul><p><br></p>
<p>We are looking for an Data Analysis Manager to support a economic consulting team with data-driven research and client-focused analysis in Washington, District of Columbia. This position is ideal for an early-career candidate with strong quantitative skills who enjoys working with large public datasets and translating findings into clear, useful insights. The role offers the opportunity to contribute to reports, presentations, and policy-related research in a collaborative environment with economists and consulting staff.</p><p><br></p><p>Responsibilities:</p><p>• Gather information from publicly available databases, prepare datasets for use, and perform detailed quantitative analysis to support consulting engagements.</p><p>• Develop accurate and timely materials for clients, ensuring project updates and final outputs are delivered in a clear and effective manner.</p><p>• Interpret data trends and economic findings to help inform client decisions related to policy matters and market developments.</p><p>• Produce written content such as research summaries, reports, thought leadership pieces, and other analytical documents.</p><p>• Communicate project progress and findings to clients through calls, virtual presentations, and in-person discussions when needed.</p><p>• Partner with senior economists and other team members on research tasks, data requests, and day-to-day project coordination.</p><p>• Create charts, tables, and presentation materials that communicate complex information in an accessible format using Excel and PowerPoint.</p><p><br></p><p>All interested candidates in the Data Analysis Manager<strong> </strong>opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn </p>
<p><strong>Data Architect</strong></p><p><em>Contract-to-permanent</em></p><p>The Data Architect is responsible for defining, governing, and evolving the organization’s enterprise data architecture across ERP, operational systems, and analytics platforms. This role ensures data consistency, scalability, and integrity as the organization executes ERP implementations and OpCo rollouts.</p><p>This position does <strong>not</strong> perform day-to-day reporting or operational data fixes. Instead, it defines the structure, standards, and guardrails that others operate within.</p><p><strong>Key Responsibilities</strong></p><p> </p><p>Data Architecture and Design</p><ul><li>Define and maintain enterprise data models across ERP, operational, and analytics platforms.</li><li>Design canonical data models for core domains such as customers, vendors, jobs, projects, financials, and assets.</li><li>Define data relationships and ownership across BuildOps, Procore, ERP finance, and downstream analytics systems.</li><li>Establish standards for master data, reference data, and transactional data.</li></ul><p>Data Governance and Quality</p><ul><li>Define data ownership, stewardship, and accountability by domain.</li><li>Establish data quality rules, validation standards, and reconciliation frameworks.</li><li>Partner with Applications Management and Operations Success Managers to align system configuration with data standards.</li><li>Define auditability and traceability standards for financial and operational data.</li></ul><p>Integration and Analytics Enablement</p><ul><li>Partner with integration engineers to define data contracts, schemas, and transformation rules.</li><li>Ensure data models support reporting, business intelligence, and downstream analytics use cases.</li><li>Review and approve data design decisions for new integrations and ERP modules.</li></ul><p>ERP and Implementation Support</p><ul><li>Support ERP implementations by validating data design, mappings, and cutover readiness.</li><li>Review data migration strategies to ensure alignment with target-state architecture.</li><li>Provide architectural guidance during fit-gap, design, and testing phases.</li></ul><p><br></p>
<p>We are looking for a Content Manager to support digital content operations for a manufacturing organization based in Parsippany, New Jersey. This Long-term Contract position will focus on maintaining accurate, engaging, and well-organized product content across multiple brand websites while partnering with cross-functional teams to deliver a strong customer experience. The ideal candidate brings hands-on expertise in content publishing platforms, digital asset coordination, and website quality assurance within a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Oversee product onboarding and ongoing content maintenance across several brand websites, ensuring information, imagery, and supporting assets remain current and consistent.</p><p>• Create, edit, and publish web content using platforms such as Adobe Experience Manager, Shopify, and Klaviyo while applying user experience best practices.</p><p>• Coordinate with product, marketing, and global stakeholders to gather pricing, documents, creative assets, and other materials needed for accurate product launches.</p><p>• Lead assigned digital initiatives by tracking milestones, communicating status updates, addressing stakeholder questions, and keeping deliverables aligned with expectations.</p><p>• Monitor project risks and operational challenges, develop practical solutions, and take early action to prevent delays or quality issues.</p><p>• Execute quality checks for landing pages, promotional offers, site copy, and functional site elements to confirm content accuracy and site performance before and after publishing.</p><p>• Maintain an organized library of digital content and creative assets, and share newly available materials with internal teams to support ongoing campaigns and site updates.</p><p>• Investigate and resolve publishing or production problems by partnering with internal technical teams and external development resources to restore timely site operations.</p><p>• Work with cross-functional partners to translate business needs into clear digital requirements and implement content updates that support customer-facing goals.</p><p><br></p><p>02720-0013424624</p><p><br></p>