We are looking for a skilled Data Analyst to join our team on a contract basis in Brooklyn, New York. In this role, you will leverage your expertise in data analysis to support decision-making processes and deliver actionable insights. The ideal candidate will bring a strong analytical skill set, familiarity with relevant tools, and the ability to work effectively in a dynamic environment.<br><br>Responsibilities:<br>• Analyze complex datasets to identify trends, patterns, and actionable insights that support business objectives.<br>• Utilize tools such as Power BI, SQL, and Microsoft Excel to create reports and dashboards for data visualization.<br>• Collaborate with stakeholders to understand data requirements and deliver solutions tailored to their needs.<br>• Perform detailed data validation and ensure the accuracy of information across systems.<br>• Support the implementation and optimization of data analysis processes using Acumatica.<br>• Develop and maintain documentation for data workflows and analytical procedures.<br>• Assist with troubleshooting and resolving data-related issues in a timely manner.<br>• Present findings and recommendations to management through clear and concise communication.<br>• Monitor data quality and implement measures to enhance consistency and reliability.<br>• Stay updated on industry trends and best practices in data analysis to continuously improve methodologies.
<p>We are looking for an experienced Data Analyst III to join our team. In this role, you will apply advanced mathematical and data modeling techniques to deliver insightful business analyses and recommendations. You will collaborate with multiple business groups and senior stakeholders to drive informed decision-making and enhance processes. This is a long-term contract position offering an exciting opportunity to work on complex projects and influence strategic outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Conduct detailed analyses to identify trends and provide actionable recommendations for business solutions.</p><p>• Summarize and present findings through reports, charts, and presentations to stakeholders.</p><p>• Develop and refine analytical models to support future business decisions.</p><p>• Collaborate with business teams to gather requirements and design effective data analysis strategies.</p><p>• Retrieve, verify, and prepare data from various sources for accurate reporting.</p><p>• Create advanced queries and tools to simplify data management and reporting processes.</p><p>• Forecast outcomes and analyze trends to support strategic planning and process improvements.</p><p>• Act as a liaison between departments, providing data-driven insights and answering queries about business processes.</p><p>• Mentor and guide less experienced team members, assigning tasks and ensuring project deliverables.</p><p>• Support cross-functional projects and provide input to external groups, vendors, or agencies as needed.</p>
We are looking for a highly skilled Data Scientist to contribute to a long-term contract position within the healthcare industry. This role focuses on supporting the enterprise-wide launch of Power BI by creating and delivering engaging, high-quality learning materials. The ideal candidate will work remotely, collaborating closely with leadership and subject matter experts to empower analytics and non-analytics professionals to efficiently use Power BI in their daily tasks.<br><br>Responsibilities:<br>• Develop scalable learning experiences tailored to diverse user personas and varying levels of technical expertise.<br>• Collaborate with the data literacy program team and Power BI specialists to ensure instructional content aligns with program objectives.<br>• Translate complex concepts related to Power BI and business intelligence into accessible and engaging educational materials.<br>• Design and deliver training programs using instructional design best practices and tools such as Camtasia, Adobe Creative Suite, or Articulate.<br>• Conduct user interviews to understand learning challenges and tailor content to meet specific needs.<br>• Enhance or create new data literacy resources, such as courses, modules, and curricula, to address emerging needs and best practices.<br>• Evaluate and adapt existing educational materials to make them sustainable and applicable across the organization.<br>• Participate in marketing efforts for the Data Literacy Program, including speaking engagements, blog posts, and other creative channels.<br>• Identify opportunities for new program initiatives that support analytics tools and data literacy.<br>• Serve as a subject matter expert in data literacy on national platforms through networking and conference participation.
We are looking for a skilled Data Engineer to support our organization's data initiatives in Savannah, Georgia. This Contract to permanent role focuses on managing, optimizing, and securing data systems to drive strategic decision-making and improve overall performance. The ideal candidate will work closely with technology teams, analytics departments, and business stakeholders to ensure seamless data integration, accuracy, and scalability.<br><br>Responsibilities:<br>• Design and implement robust data lake and warehouse architectures to support organizational needs.<br>• Develop efficient ETL pipelines to process and integrate data from multiple sources.<br>• Collaborate with analytics teams to create and refine data models for reporting and visualization.<br>• Monitor and maintain data systems to ensure quality, security, and availability.<br>• Troubleshoot data-related issues and perform in-depth analyses to identify solutions.<br>• Define and manage organizational data assets, including SaaS tools and platforms.<br>• Partner with IT and security teams to meet compliance and governance standards.<br>• Document workflows, pipelines, and architecture for knowledge sharing and long-term use.<br>• Translate business requirements into technical solutions that meet reporting and analytics needs.<br>• Provide guidance and mentorship to team members on data usage and best practices.
We are looking for an experienced Data Engineer to join our team in Cincinnati, Ohio. This long-term contract position offers the opportunity to work on cutting-edge data engineering projects while collaborating with multidisciplinary teams to deliver high-quality solutions. The ideal candidate will have a strong background in Databricks and big data technologies, along with a passion for optimizing data processes and systems.<br><br>Responsibilities:<br>• Design, build, and enhance data pipelines using Databricks Runtime, Delta Lake, Autoloader, and Structured Streaming.<br>• Implement secure and governed data access protocols utilizing Unity Catalog, workspace controls, and audit configurations.<br>• Manage and integrate structured and unstructured data from diverse sources, including APIs and cloud storage.<br>• Develop and maintain notebook-based workflows and manage jobs using Databricks Workflows and Jobs.<br>• Apply best practices for performance tuning, scalability, and cost optimization in Databricks environments.<br>• Collaborate with data scientists, analysts, and business stakeholders to deliver clean and reliable datasets.<br>• Support continuous integration and deployment processes for Databricks jobs and system configurations.<br>• Ensure high standards of data quality and security across all engineering tasks.<br>• Troubleshoot and resolve issues to maintain operational efficiency in data pipelines.
We are looking for a skilled Data Engineer to join our team in Philadelphia, Pennsylvania. In this long-term contract position, you will play a key role in managing and optimizing large-scale data pipelines and systems within the healthcare industry. Your expertise will contribute to the development of robust solutions for data processing, analysis, and integration.<br><br>Responsibilities:<br>• Design, develop, and maintain large-scale data pipelines to support business needs.<br>• Optimize data workflows using tools such as Apache Spark and Python.<br>• Implement and manage ETL processes for seamless data transformation and integration.<br>• Collaborate with cross-functional teams to ensure data solutions align with organizational goals.<br>• Monitor and troubleshoot data systems to ensure consistent performance and reliability.<br>• Work with Apache Hadoop and Apache Kafka to enhance data storage and streaming capabilities.<br>• Ensure compliance with data security and privacy standards.<br>• Analyze and interpret complex datasets to provide actionable insights.<br>• Document processes and solutions to support future scalability and maintenance.
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This position offers the opportunity to work remotely while contributing to critical data management and integration efforts. The ideal candidate will have hands-on experience with customer master data in ECC6, and the ability to create, maintain, and manage data effectively.<br><br>Responsibilities:<br>• Develop and maintain customer master data within ECC6, ensuring data accuracy and consistency.<br>• Create new customer profiles and manage existing ones, maintaining high standards of data integrity.<br>• Support the integration process by working with custom tables related to customer data.<br>• Collaborate with cross-functional teams to ensure seamless data flow and effective data management.<br>• Utilize tools such as Apache Spark, Python, and ETL processes to extract, transform, and load data efficiently.<br>• Leverage Apache Hadoop for scalable data storage and processing solutions.<br>• Implement Apache Kafka to enable real-time data streaming and integration.<br>• Troubleshoot and resolve data-related issues, ensuring system reliability.<br>• Provide documentation and training to stakeholders on data management processes.<br>• Stay updated on industry best practices and emerging technologies to enhance data engineering workflows.
<p>The Senior Data Engineer plays a key role in architecting, developing, and operating reliable, production-ready data solutions that enable analytics, automation, and operational processes across our client’s organization.</p><p><br></p><p>Operating within a modern, cloud-based data ecosystem, this role is responsible for bringing together data from internal platforms and external partners, transforming it into trusted, high-quality assets, and delivering it consistently to downstream users and systems. The work spans the full data lifecycle—ingestion, orchestration, transformation, and delivery—and blends advanced SQL development with Python-based pipeline and workflow automation.</p><p><br></p><p>This role sits at the intersection of data and systems engineering and works closely with Business Intelligence, Business Technology, and operational teams to ensure data solutions are scalable, dependable, and aligned with real business outcomes.</p><p><br></p><p><br></p><p><br></p><p><br></p>
We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms.<br><br>Responsibilities:<br>• Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration.<br>• Design and maintain scalable data solutions, including data warehouses and data lakes.<br>• Collaborate with cross-functional teams to identify data requirements and deliver actionable insights.<br>• Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization.<br>• Leverage Python and SQL to build robust data workflows and automate processes.<br>• Employ orchestration tools like Airflow and dbt to streamline data operations.<br>• Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau.<br>• Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights.<br>• Implement CI/CD pipelines and DevOps practices to enhance data engineering processes.<br>• Ensure data security and compliance across all systems and tools.
We are looking for an experienced Data Engineer to join our dynamic team in Mayville, Wisconsin. In this role, you will play a key part in developing and enhancing reporting and analytics solutions within a modern data environment. The ideal candidate is passionate about transforming complex data into actionable insights, improving processes, and creating reliable reporting systems. This is a long-term contract position offering the opportunity to make a meaningful impact within a collaborative and forward-thinking team.<br><br>Responsibilities:<br>• Design, develop, and maintain scalable data pipelines to support reporting and analytics needs.<br>• Create and optimize Power BI dashboards and reports to deliver accessible and trustworthy insights.<br>• Automate workflows using Power Automate to improve operational efficiency.<br>• Develop scripts using languages such as PowerShell or Python to streamline data processing tasks.<br>• Integrate and manage data sources including Oracle, Snowflake (hosted within Azure), and other enterprise systems.<br>• Collaborate with stakeholders to gather requirements and deliver customized solutions.<br>• Support the transition to cloud-based data environments, including Azure Data Warehouse and Fabric.<br>• Troubleshoot and resolve data-related issues, ensuring data integrity and reliability.<br>• Document processes and workflows to ensure clarity and maintainability.<br>• Stay updated on industry trends to recommend and implement innovative data solutions.
We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives.<br>• Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses.<br>• Ensure data governance policies are implemented and monitored, including retention and backup protocols.<br>• Collaborate with teams across departments to translate business requirements into technical specifications.<br>• Monitor and optimize the performance of data assets, identifying opportunities for improvement.<br>• Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure.<br>• Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities.<br>• Mentor and support team members by sharing technical expertise and providing guidance.<br>• Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement.<br>• Stay up to date with emerging trends and advancements in data engineering and architecture.
We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation.<br><br>Responsibilities:<br>• Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines.<br>• Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization.<br>• Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts.<br>• Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics.<br>• Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction.<br>• Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid.<br>• Collaborate with product and operations teams to translate complex business questions into actionable data models and queries.<br>• Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation.<br>• Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.
<p>We're hiring for a Data Manager who will be hands on technically while managing a team. This is a role where you will be performing code reviews, managing data developers and engineers, performance reviews, and working closely with other department heads. You will be responsible to manage resources across multiple projects at any given time. In this role you will be responsible to manage meetings, support the data strategy, work with scrum masters and project managers to break down tasks and create user stories giving clear task lists to teams. We are looking for someone who can present to leadership and be the hands-on mentor/manager.</p><p><br></p><p>Apply today for immediate consideration!</p>