We are looking for an experienced Data Warehouse Analyst to join our team in Virginia Beach, Virginia. In this contract-to-permanent role, you will play a pivotal part in optimizing database operations and supporting both virtualized and on-premises SQL Server environments. This position offers an excellent opportunity to contribute to modernization efforts while leveraging your technical expertise in data warehousing.<br><br>Responsibilities:<br>• Analyze and redesign existing SQL Server processes to enhance efficiency and reliability.<br>• Develop and implement best practices for database administration and performance optimization.<br>• Review and improve batch file execution strategies to ensure seamless operations.<br>• Collaborate with internal teams to support upgrades and modernization initiatives, including SQL Server 2025.<br>• Monitor, maintain, and troubleshoot SQL Server databases across virtual and physical environments.<br>• Document workflows and provide training to ensure a smooth transition during system upgrades.<br>• Create and manage ETL processes using SSIS to streamline data integration and transformation.<br>• Utilize T-SQL for advanced querying and database management tasks.<br>• Support virtualized environments, such as VMware or Hyper-V, to facilitate database operations.
<p>Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senior ETL Engineer - Position WEEKLY HYBRID position with major flexibility! FULL Microsoft On-Prem stack.</p><p><br></p><p>LOCATION : HYBRID WEEKLY in Des Moines. You must reside in the Des Moines area for weekly onsite . NO travel back and forth and not a remote position! If you live in Des Moines, eventually you can MOSTLY work remote!! This position has upside with training in Azure.</p><p><br></p><p>IMMEDIATE HIRE ! Solve real Business Problems.</p><p><br></p><p>Hands-On Technical SENIOR Microsoft Stack Data Engineer | SENIOR Data Warehouse Engineer / SENIOR Data Engineer / Senior ETL Developer / Azure Data Engineer / ( Direct Hire) who is looking to help modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD but FIRST REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting.</p><p><br></p><p>YOU WILL DOING ALL ASPECTS OF Data Engineering. Must have data warehouse & Data Lake skills. You will be in the technical weeds and technical data day to day BUT you could grow to the Technical Leader of this team. ETL skills like SSIS., working with disparate data. SSAS is a Plus! Fact and Dimension Data warehouse experience AND experience.</p><p>Hands-On Technical Hands-On Technical SENIOR Microsoft Stack Data Engineer / SENIOR Data Warehouse / SENIOR Data Engineer / Azure Data Factory Data Engineer This is a Permanent Direct Hire Hands-On Technical Manager of Data Engineering position with one of our clients in Des Moines up to 155K Plus bonus</p><p><br></p><p>PERKS: Bonus, 2 1/2 day weekends !</p>
We are looking for a skilled Data Warehouse Engineer to join our team in Malvern, Pennsylvania. This Contract-to-Permanent position offers the opportunity to work with cutting-edge data technologies and contribute to the optimization of data processes. The ideal candidate will have a strong background in Azure and Snowflake, along with experience in data integration and production support.<br><br>Responsibilities:<br>• Develop, configure, and optimize Snowflake-based data solutions to meet business needs.<br>• Utilize Azure Data Factory to design and implement efficient ETL processes.<br>• Provide production support by monitoring and managing data workflows and tasks.<br>• Extract and analyze existing code from Talend to facilitate system migrations.<br>• Stand up and configure data repository processes to ensure seamless performance.<br>• Collaborate on the migration from Talend to Azure Data Factory, providing expertise on best practices.<br>• Leverage Python scripting to enhance data processing and automation capabilities.<br>• Apply critical thinking to solve complex data challenges and support transformation initiatives.<br>• Maintain and improve Azure Fabric-based solutions for data warehousing.<br>• Work within the context of financial services, ensuring compliance with industry standards.
We are in search of a Data Warehouse Analyst to join our team in the retail industry, situated in Hillside, New Jersey. In this role, you'll leverage your technical skills to simplify complex analytical tasks into understandable data-driven narratives. Collaborating with other analysts, you'll apply established analytical processes to diverse datasets to deduce insights and solve real-world business problems. <br><br>Responsibilities: <br><br>• Collaborate with Operations, Product, and Finance teams to establish KPIs and innovative methodologies for measurement<br>• Develop, manage, and scale our labor planning process, providing accurate labor targets and forecasts in conjunction with the Talent Acquisition team<br>• Analyze and understand the drivers that impact key influences on business dynamics and productivity<br>• Transform data into actionable insights for stakeholders<br>• Automate the reporting process for weekly business metrics<br>• Identify and execute opportunities to automate and scale our current processes<br>• Leverage your technical skills, such as SQL/code writing, statistics, machine learning, etc., to enhance existing processes and learn new skills<br>• Ensure all reporting and analytical responsibilities are completed competently and promptly.
We are looking for a skilled Data Warehouse Analyst to join our team in Hillside, 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.<br><br>Responsibilities:<br>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.<br>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.<br>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.<br>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.<br>• Automate reporting processes to improve accuracy and timeliness of operational data.<br>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.<br>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.<br>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.<br>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.
<p>Our client is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 12-16 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. You will be responsible for leading within the Enterprise Data Warehouse for the bank including innovating on the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organizations and CDAO leads to architect and enable an effective data ecosystem as well as key leaders in business and technology to understand and support their needs.</p><p><br></p><p><br></p><p>KKey Responsibilities</p><ul><li>Lead a team of 12-16 resources, providing strategic direction, coaching, and technical oversight.</li><li>Drive agile execution, ensuring consistent velocity, transparency, and stakeholder engagement.</li><li>Execute the EDW technology strategy, ensuring alignment with enterprise goals and segment priorities.</li><li>Participate in demand management and planning, assessing impact, feasibility and estimating work effort.</li><li>Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture and business requirements for data warehousing. Manage data within the data warehouse to ensure efficiency of platform.</li><li>Work with operational data and data acquisition teams to manage incoming sources and the down-stream systems to understand and support their needs for reporting and analytics.</li><li>Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.</li><li>Perform other duties as assigned.</li></ul>
<p>We are looking for a highly skilled Data Engineering and Software Engineering professional to design, build, and optimize our Data Lake and Data Processing platform on AWS. This role requires deep expertise in data architecture, cloud computing, and software development, as well as the ability to define and implement strategies for deployment, testing, and production workflows.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design and develop a scalable Data Lake and data processing platform from the ground up on AWS.</li><li>Lead decision-making and provide guidance on code deployment, testing strategies, and production environment workflows.</li><li>Define the roadmap for Data Lake development, ensuring efficient data storage and processing.</li><li>Oversee S3 data storage, Delta.io for change data capture, and AWS data processing services.</li><li>Work with Python and PySpark to process large-scale data efficiently.</li><li>Implement and manage Lambda, Glue, Kafka, and Firehose for seamless data integration and processing.</li><li>Collaborate with stakeholders to align technical strategies with business objectives, while maintaining a hands-on engineering focus.</li><li>Drive innovation and cost optimization in data architecture and cloud infrastructure.</li><li>Provide expertise in data warehousing and transitioning into modern AWS-based data processing practices.</li></ul>
We are seeking a Data Engineer to join our team based in Bethesda, Maryland. As part of our Investment Management team, you will play a crucial role in designing and maintaining data pipelines in our Azure Data Lake, implementing data warehousing strategies, and collaborating with various teams to address data engineering needs.<br><br>Responsibilities:<br><br>• Design robust data pipelines within Azure Data Lake to support our investment management operations.<br>• Implement effective data warehousing strategies that ensure efficient storage and retrieval of data.<br>• Collaborate with Power BI developers to integrate data reporting seamlessly and effectively.<br>• Conduct data validation and audits to uphold the accuracy and quality of our data pipelines.<br>• Troubleshoot pipeline processes and optimize them for improved performance.<br>• Work cross-functionally with different teams to address and fulfill data engineering needs with a focus on scalability and reliability.<br>• Utilize Apache Kafka, Apache Pig, Apache Spark, and other cloud technologies for efficient data visualization and algorithm implementation.<br>• Develop APIs and use AWS technologies to ensure seamless data flow and analytics.<br>• Leverage Apache Hadoop for effective data management and analytics.
<p>We are seeking a customer experience-focused Data Modeler & Architect to bridge the gap between business needs and cutting-edge data solutions—translating challenges into powerful insights that drive innovation, efficiency, and strategic growth. In this role, you will work directly with stakeholders to translate business needs into data models, ensuring data accuracy and efficiency for analysis and reporting. You will support a multi-functional team in creating, validating, and delivering reports, data extracts, dashboards, and other data products.</p><p>Our ideal candidate is mission-focused and delivery-oriented, applying critical thinking to create innovative functions and solve technical issues.</p><p>With this role, you will:</p><ul><li>Work with business users to understand data needs, processes, and challenges.</li><li>Collaborate with analysts, system owners, and stakeholders to gather requirements.</li><li>Create and maintain conceptual, logical, and physical data models.</li><li>Develop source-target mappings, recommend data standards, and identify data quality issues.</li><li>Communicate with stakeholders to ensure understanding and support for models.</li><li>Optimize models for Azure cloud data architectures (e.g., Synapse Analytics, Azure SQL MI, NoSQL, Power BI).</li><li>Support migration from legacy Enterprise Data Warehouse to Azure Data Lake Platform.</li><li>Enhance data models for performance, quality, and scalability.</li><li>Collaborate with governance teams to implement data standards.</li><li>Advise DevOps teams on implementation.</li><li>Provide hands-on support for reporting and data delivery.</li><li>Ensure compliance with governance frameworks and security best practices.</li><li>Document data models and related processes.</li><li>Enforce modeling standards and best practices.</li><li>Troubleshoot data-related issues and provide technical support.</li></ul>
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
<p>We are looking for an experienced Data Engineer to lead the development and management of scalable data systems and analytics frameworks. This role is ideal for someone passionate about transforming data into actionable insights that drive business decisions. Based in Nutley, New Jersey, you will play a key role in supporting product, marketing, and operational strategies through robust data solutions.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Design and implement scalable data pipelines and storage solutions to meet organizational needs.</p><p>• Monitor and analyze platform user behavior to uncover insights and identify opportunities for optimization.</p><p>• Build and maintain analytics dashboards and reporting frameworks for internal teams.</p><p>• Develop schemas, models, and data definitions to support core business operations.</p><p>• Oversee instrumentation of data collection across both backend and frontend systems.</p><p>• Provide ad hoc reporting and data support to enhance product and growth initiatives.</p><p>• Ensure data integrity, accuracy, and performance by implementing industry best practices.</p>
<p><strong>Position: Data Engineer</strong></p><p><strong>Location: Des Moines, IA - HYBRID</strong></p><p><strong>Salary: up to $130K permanent position plus exceptional benefits</strong></p><p> </p><p><strong>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</strong></p><p> </p><p>Our clients is one of the best employers in town. Come join this successful organization with smart, talented, results-oriented team members. You will find that passion in your career again, working together with some of the best in the business. </p><p> </p><p>If you are an experienced Senior Data Engineer seeking a new adventure that entails enhancing data reliability and quality for an industry leader? Look no further! Our client has a robust data and reporting team and need you to bolster their data warehouse and data solutions and facilitate data extraction, transformation, and reporting.</p><p> </p><p>Key Responsibilities:</p><ul><li>Create and maintain data architecture and data models for efficient information storage and retrieval.</li><li>Ensure rigorous data collection from various sources and storage in a centralized location, such as a data warehouse.</li><li>Design and implement data pipelines for ETL using tools like SSIS and Azure Data Factory.</li><li>Monitor data performance and troubleshoot any issues in the data pipeline.</li><li>Collaborate with development teams to track work progress and ensure timely completion of tasks.</li><li>Implement data validation and cleansing processes to ensure data quality and accuracy.</li><li>Optimize performance to ensure efficient data queries and reports execution.</li><li>Uphold data security by storing data securely and restricting access to sensitive data to authorized users only.</li></ul><p>Qualifications:</p><ul><li>A 4-year degree related to computer science or equivalent work experience.</li><li>At least 5 years of professional experience.</li><li>Strong SQL Server and relational database experience.</li><li>Proficiency in SSIS, SSRS.</li><li>.Net experience is a plus.</li></ul><p> </p><p><strong>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. *** </strong></p><p> </p>
<p><strong> AWS Data Engineer</strong></p><p><br></p><p><strong>Position Overview</strong></p><p>We are seeking a skilled IT Data Integration Engineer / AWS Data Engineer to join our team and lead the development and optimization of data integration processes. This role is critical to ensuring seamless data flow across systems, enabling high-quality, consistent, and accessible data to support business intelligence and analytics initiatives. This is a long-term contract role in Southern California.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and Maintain Data Integration Solutions</li><li>Design and implement data workflows using AWS Glue, EMR, Lambda, and Redshift.</li><li>Utilize PySpark, Apache Spark, and Python to process large datasets.</li><li>Ensure accurate and efficient ETL (Extract, Transform, Load) operations.</li></ul><p>Ensure Data Quality and Integrity</p><ul><li>Validate and cleanse data to maintain high standards of quality.</li><li>Implement monitoring, validation, and error-handling mechanisms.</li></ul><p>Optimize Data Integration Processes</p><ul><li>Enhance performance and scalability of data workflows on AWS infrastructure.</li><li>Apply data warehousing concepts including star/snowflake schema design and dimensional modeling.</li><li>Fine-tune queries and optimize Redshift performance.</li></ul><p>Support Business Intelligence and Analytics</p><ul><li>Translate business requirements into technical specifications and data pipelines.</li><li>Collaborate with analysts and stakeholders to deliver timely, integrated data.</li></ul><p>Maintain Documentation and Compliance</p><ul><li>Document workflows, processes, and technical specifications.</li><li>Ensure adherence to data governance policies and regulatory standards.</li></ul>
<p>Robert Half is seeking a talented <strong>Business Intelligence ETL Developer</strong> to join our team in Pittsburgh, Pennsylvania. This position supports the company’s data and business intelligence needs, ensuring stakeholders have the tools and information necessary for improved business processes. The successful candidate will play a critical role in the design, development, and implementation of robust data solutions within our enterprise data warehouse environment, while also offering ongoing technical support.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Ensure <strong>data accuracy and availability</strong> by monitoring and supporting ETL processes from various data sources.</li><li>Develop a thorough understanding of <strong>current processes</strong> and identify key data dependencies.</li><li>Work collaboratively with team members to refine processes for improved <strong>data quality</strong> and <strong>system performance</strong>.</li><li>Manage the technical design, implementation, maintenance, and support of data warehouse systems.</li><li>Translate business needs into actionable designs, build solutions, and conduct testing.</li><li>Contribute to <strong>data design</strong>, database architecture, and the creation of scalable repositories.</li><li>Create and maintain technical documentation, including architecture diagrams, process flows, and prototypes.</li><li>Assist in testing new development tools and hardware/software upgrades.</li><li>Provide project progress updates to both teams and management.</li><li>Support the development of technical scopes and estimates for large, complex projects.</li><li>Collaborate with stakeholders to design <strong>end-to-end solutions</strong> that meet business requirements.</li><li>Partner with cross-functional teams to improve business processes and systems integration.</li></ul><p><br></p>
<p>We are seeking a Senior Data Engineer to maintain legacy ETL processes and lead the development of modern, cloud-native data pipelines on Microsoft Azure. This role involves working closely with stakeholders to design, implement, and optimize data solutions for analytics, reporting, and AI/ML initiatives.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Maintain and operate legacy ETL processes using Microsoft SSIS, PowerShell, SQL procedures, SSAS, .NET code</li><li>Design and implement Azure cloud-native data pipelines using Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, and SQL</li><li>Redevelop existing SSIS ETL scripts into Azure Data Factory and Synapse Pipelines</li><li>Support data modeling for relational, dimensional, data lakehouse (medallion architecture), data warehouse, and NoSQL environments</li><li>Implement data migration, integrity, quality, metadata management, and security measures</li><li>Monitor and troubleshoot data pipelines to ensure high availability and performance</li><li>Automate platform operations with governance, build, deployment, and monitoring processes</li><li>Actively participate in Agile DevOps practices, including PI planning</li><li>Maintain strict versioning and configuration control for data integrity</li></ul>
<p><strong>Position Summary </strong></p><p>We are seeking a skilled Data Engineer to design, implement, and maintain scalable data pipelines that support analytics and business intelligence initiatives. This role is critical to ensuring the availability, integrity, and quality of data across the organization. The ideal candidate will have a strong technical background in data engineering, excellent problem-solving abilities, and a collaborative mindset. You will be responsible for developing infrastructure for optimal data extraction, transformation, and loading (ETL) from various sources. This includes supporting cross-functional teams and maintaining high standards for data consistency and governance. </p><p><br></p><p><strong>Key Responsibilities: </strong></p><ul><li><strong></strong>Design and maintain scalable data pipelines using tools such as Azure Data Factory, Microsoft Fabric, PySpark, Spark SQL, and Python.</li><li>Develop solutions for integrating, processing, and analyzing large volumes of structured and unstructured data.</li><li>Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions.</li><li>Optimize and troubleshoot data pipelines for performance and reliability.</li><li>Implement data governance and security best practices to ensure compliance and integrity.</li><li>Monitor and maintain data infrastructure for scalability and availability.</li><li>Stay current with advancements in data engineering and cloud technologies.</li><li>Manage the data platform roadmap, including capacity planning and optimization.</li><li>Work with IT operations and BI vendors to resolve production issues.</li><li>Prioritize and manage stakeholder reporting needs and requirements.</li><li>Maintain vendor relationships to support platform evolution and capability expansion.</li><li>Address data issues, trace lineage, and implement cleansing and quality processes.</li><li>Ensure secure access to data sets and effective collaboration across teams.</li><li>Manage project schedules, milestones, and tollgate reviews.</li><li>Promote data literacy across the organization.</li><li>Submit weekly progress reports and follow IT directives and compliance policies.</li></ul><p><br></p>
<p>Are you a talented Database Developer passionate about transforming data into actionable insights? We're seeking a <strong>skilled and experienced Database Developer</strong> to join our team in Jacksonville, Florida. This is a <strong>contract-to-permanent opportunity</strong> for someone who thrives on designing robust database solutions, optimizing data flow, and building powerful reporting tools.</p><p>In this role, you'll be instrumental in shaping our data infrastructure and delivering critical business intelligence. We're looking for a professional with a strong command of <strong>SQL Server</strong> and a proven track record in <strong>business intelligence (BI)</strong>.</p><p><br></p><p><strong>What You'll Do:</strong></p><ul><li><strong>Architect & Optimize:</strong> Design, develop, and maintain high-performance database systems using <strong>Microsoft SQL Server</strong>.</li><li><strong>Query & Develop:</strong> Write and optimize complex SQL queries and stored procedures to support diverse data needs.</li><li><strong>Visualize & Report:</strong> Create impactful and dynamic dashboards and reports with <strong>Power BI</strong>, turning raw data into clear, actionable insights.</li><li><strong>Integrate & Transform:</strong> Implement and manage efficient <strong>ETL processes</strong> to ensure seamless data transformation and integration from various sources.</li><li><strong>Warehouse & Streamline:</strong> Design and build data warehouses and data marts that optimize data storage and retrieval for analytical purposes.</li><li><strong>Unify Data:</strong> Integrate disparate datasets into cohesive, unified databases, enabling real-time data access and analysis.</li><li><strong>Ensure Data Quality:</strong> Proactively clean and maintain databases, ensuring data accuracy and integrity by identifying and resolving inconsistencies, irrelevant entries, and missing values.</li><li><strong>Drive Efficiency:</strong> Utilize advanced database features like triggers and efficient table querying to maximize operational performance.</li><li><strong>Generate Insights:</strong> Produce comprehensive statistical reports that reveal key data trends and provide valuable insights to stakeholders across the organization.</li></ul><p><br></p>
<p>Job Overview:</p><p>The Data Architect will lead the design and implementation of enterprise data systems, ensuring alignment with business needs, data governance, and security standards. This role involves working closely with IT teams, business analysts, and data consumers to deliver scalable and secure data solutions.</p><p>Daily Responsibilities:</p><ul><li>Translate high-level business requirements into data models, metadata, test data, and data quality standards</li><li>Manage senior business stakeholders to ensure project alignment with strategic roadmaps</li><li>Lead peer reviews and quality assurance of architectural artifacts</li><li>Define and manage standards, guidelines, and processes for data quality</li><li>Collaborate with IT and analytics teams to develop data solutions</li><li>Evaluate and recommend emerging technologies for data management and analytics</li><li>Establish governance frameworks for internal teams and vendor partners</li></ul><p>rProject Focus:</p><ul><li>Apply data protection rules across storage, compute, and consumption layers</li><li>Design data protection solutions at database, table, column, and API levels</li><li>Architect data systems including databases, warehouses, and lakes</li><li>Select and implement database management systems with optimized schemas and security</li><li>Enhance data pipeline performance and ensure data governance</li></ul>
<p>PRIMARY RESPONSIBILITIES :</p><p>• Takes strategic management role over data across the organization, champions data to key stakeholders </p><p>• Assist CTO with implementation of Data Strategy </p><p>• Responsible for creation, management, training, and administration of the data warehouse </p><p>• Establishes requirements and assesses the quality of the data in our current databases </p><p>• Assisting in the maintenance and creation of a data catalog and data map. </p><p>• Creates and implements data standards, policies, procedures, and business rules </p><p>• Establishes data access security requirements </p><p>• Interprets data, analyze results using statistical techniques and provide ongoing reports from a variety of sources to create dashboards and other presentation materials and tools for key constituents </p><p>• Develops and implements databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality </p><p>• Acquire data from primary and/or secondary data sources and maintain databases/data systems </p><p>• Filters and cleans data by reviewing computer reports, printouts, and performance indicators to locate and correct issues </p><p>• Serve as the organization’s Salesforce Administrator to include management of the Salesforce database and configuration. Will also work directly with any identified Salesforce consultants. </p><p>• Provides training and technical assistance with the design and management of collecting and reporting data (surveys). Also creates standards and procedures on how we create and conduct surveys. </p><p>• Independently analyze and summarize findings and present data in formats such as excel pivots, power point, reports, dashboards, grids, and tables along with any suggestions or recommendations </p><p>• Other data related duties as assigned.</p><p><br></p><p>** If you're interested in this position, please apply to this position and contact Allison Jacques at Allison.jacques - at - roberthalf - .com with your word resume and reference job ID#*00410-0013288552*</p>
<p>We are looking for an experienced Director of Data Operations to join our team. This is a long-term contract position offering the opportunity to work on challenging projects that span multiple technical domains. The ideal candidate will bring a depth of expertise in software development, programming, and technical problem-solving, contributing to impactful solutions and innovations.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Work closely with business stakeholders to understand ongoing and future data needs.</li><li>Build relationships at every level of the organization and develop a deep understanding of the business context.</li><li>Work with the primary client to prioritize and manage day to day activities, task prioritization, team utilization, and data deliveries, utilizing Agile project and task management.</li><li>Lead data analytics team members to drive full data lifecycle activities, including new platform, data engineering, and reporting capabilities.</li><li>Lead day to day operations to ensure all stakeholder commitments are met.</li><li>Lead migration from legacy data warehouse and business intelligence platform to the new cloud native Azure platform.</li><li>Be hands on with the technologies, such as constructing SQL queries, in order to facilitate effective data analysis, subject domain understanding, troubleshooting, task scoping, data quality checks, and demonstrations.</li><li>Establish, maintain, and coordinate Agile development and operations, including Program Increment Planning.</li><li>Manage design, development, deployment, and operation of Microsoft Azure based data solutions.</li><li>Coordinate support from infrastructure and network support teams, vendors, and government service providers.</li><li>Maintain continuous learning to propose new approaches and solutions to meet client needs.</li><li>Incorporate and drive best practices in cloud based data infrastructure, data architecture, data quality assurance, data security, data standards, data management, data governance, data engineering, performance optimization, reporting, and analytics.</li><li>Collaborate with the client to maintain technical roadmap, ensuring incorporation of latest tools and technologies such as Generative AI.</li><li>Ensure appropriate project knowledge management and documentation.</li></ul>
<p>We are on the lookout for a Data Engineer in Basking Ridge, New Jersey. (1-2 days a week on-site*) In this role, you will be required to develop and maintain business intelligence and analytics solutions, integrating complex data sources for decision support systems. You will also be expected to have a hands-on approach towards application development, particularly with the Microsoft Azure suite.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Develop and maintain advanced analytics solutions using tools such as Apache Kafka, Apache Pig, Apache Spark, and AWS Technologies.</p><p>• Work extensively with Microsoft Azure suite for application development.</p><p>• Implement algorithms and develop APIs.</p><p>• Handle integration of complex data sources for decision support systems in the enterprise data warehouse.</p><p>• Utilize Cloud Technologies and Data Visualization tools to enhance business intelligence.</p><p>• Work with various types of data including Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, and Discovery Data.</p><p>• Maintain familiarity with key industry best practices in a regulated “GXP” environment.</p><p>• Work with commercial pharmaceutical/business information, Supply Chain, Finance, and HR data.</p><p>• Leverage Apache Hadoop for handling large datasets.</p>
<p>2nd Shift Warehouse Administrative Coordinator (Contract)</p><p>Are you highly organized, detail-oriented, and ready to keep a busy warehouse office running smoothly? Do you enjoy juggling multiple tasks, solving problems, and keeping operations on track behind the scenes? If so, you are in luck! Robert Half is partnering with John Deere's North American Parts Distribution Center to find their next 2nd Shift Warehouse Administrative Coordinator! This onsite position focuses on data entry, document processing, and system troubleshooting to ensure accuracy and efficiency across departments. </p><p><br></p><p>Role Details:</p><p>- Shift: 2nd Shift — 2:00 PM–10:30 PM (overtime possible)</p><p>- Contract: Currently approved for 1 year, possibility for extension</p><p>- Physical Requirements: Must have metatarsals on day one, stand for most of shift, lift up to 28 lbs.</p><p>- Visa sponsorship not available now or in the future.</p><p><br></p><p>Apply today or reach our team at (563) 359-3995 — Christin, Erin, and Lydia are great points of contact!</p><p><br></p><p>Why Partner with Robert Half?</p><p>When you work with Robert Half, you’re not just securing a great job opportunity — you’re gaining access to competitive benefits and dedicated career support. Eligible contract professionals can enjoy health, dental, and vision insurance, a 401(k) savings plan, holiday pay, and more. Plus, our team is here to guide you every step of the way.</p><p><br></p><p>Key Duties</p><p>-Enter pick ticket data into systems like DNS and AS400</p><p>-Troubleshoot inventory and printer issues</p><p>-Handle shipping documents, BOLs, customs forms, and more</p><p>-Supporting customer service requests within the warehouse and resolving inventory-related questions</p><p>-Helping with will-call and equipment distribution as needed</p><p><br></p>
<p>Interact and support Front Office (Traders) with data management, quantitative analysis and application development • Knowledge of the PJM, New York, and/or Northeast power markets. Congestion trading and/or financial transmission rights are a plus • Work with an Enterprise Data Warehouse with a comprehensive understanding of relational and non-relational databases • Develop complex logic in database schema based on diverse business processes spanning multiple subsystems and large datasets • Create and enhance standard and custom reports and workflows as per operational demands. • Comply with all ENGIE NA policies and procedures. • Create and maintain technical documentation</p>
<p>Job Details:</p><p>- Technical and end user operation management of data warehouse and business intelligence infrastructure on day-to-day basis</p><p>- Full responsibility of new development tasks to expand functionality of current data warehouse including dashboards/reports</p><p>- Working with Finance to gather/analyze reporting requirements (Business Analysis)</p><p>- Presenting technical solutions for new business requirements to manager and final technical implementation</p><p>- Actively supporting end users and error management of data warehouse with dashboards/reports</p><p>- Organizing technical and end user testing for final deployments to different technical environments</p><p>- Creating/maintaining technical and end user documentation</p><p>- Second technical contact for Business Intelligence</p>
<p>This is an excellent opportunity to join one of the largest integrated energy and commodity trading companies in the world.</p><p>We are looking for a hands-on IT Developer with experience in the North American Power & Gas Commodity markets. You will work on full-stack applications supporting Front Office Trading across commodities and must be passionate about technology with a strong background in developing enterprise-wide solutions.</p><p>You will collaborate with end-users to understand processes, gather requirements, analyze problems, and design solutions that deliver tangible business value.</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop and maintain Front Office applications and data warehouse hosted in Amazon Web Services (AWS).</li><li>Deliver technical solutions to enhance trading platforms and address business challenges, including requirements gathering, prioritization, task planning, and timely delivery.</li><li>Collaborate with internal staff and third-party IT consulting teams across global locations to ensure solutions meet requirements and project timelines.</li><li>Lead initiatives for operational excellence, including monitoring, alerting, and predictive operations.</li><li>Work closely with global development teams to support organizational technology needs.</li><li>Represent and promote IT initiatives internally and externally.</li></ul><p><br></p>
