<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
<p>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 Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders.</p><p><br></p><p>This is a 3-6 month contract opportunity. </p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.</p><p>• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.</p><p>• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.</p><p>• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.</p><p>• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.</p><p>• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.</p><p>• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.</p><p>• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.</p><p>• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.</p>
We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment.<br><br>Responsibilities:<br>• Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data.<br>• Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management.<br>• Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities.<br>• Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance.<br>• Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets.<br>• Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate.<br>• Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support.<br>• Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures.<br>• Protect data assets by applying security controls and compliance standards across the Databricks environment.<br>• Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule.
<p>We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.</p><p>• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.</p><p>• Develop and maintain data models to support analytics, reporting, and operational processes.</p><p>• Optimize data warehouse performance by tuning queries and managing resources effectively.</p><p>• Ensure data quality through rigorous testing and governance protocols.</p><p>• Implement security and compliance measures to protect sensitive data.</p><p>• Research and integrate emerging technologies to enhance system capabilities.</p><p>• Support ETL processes for data extraction, transformation, and loading.</p><p>• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.</p><p>• Provide technical guidance and support to team members and stakeholders.</p>
<p>We’re seeking a Data Engineer to design and build scalable data pipelines in a modern Azure environment. This role focuses on transforming raw data into reliable, analytics-ready datasets.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Build and maintain <strong>ETL/ELT pipelines</strong> using Azure Data Factory</li><li>Develop data solutions in <strong>Azure Databricks (PySpark / Spark)</strong></li><li>Optimize data processing performance and cost efficiency</li><li>Work with structured and unstructured data across cloud platforms</li><li>Collaborate with analytics and business stakeholders to define data requirements</li><li>Ensure data quality, governance, and documentation</li></ul><p><br></p>
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
<p>A Manufacturing and distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p>• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p>• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p>• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p>• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p>• Ensure data quality, governance, and integrity by implementing and enforcing best practice</p>
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
We are looking for a Data Engineer to join a long-term contract opportunity based in Austin, Texas. In this role, you will turn high-level data architecture direction into practical engineering solutions that strengthen a warehouse-first approach and improve how data is collected, transformed, governed, and shared. You will work with technical and business partners to build reliable data foundations that support both operational processes and analytics. This position also plays an important part in elevating internal data engineering practices through clear documentation, reusable standards, and hands-on knowledge sharing.<br><br>Responsibilities:<br>• Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery.<br>• Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers.<br>• Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse.<br>• Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff.<br>• Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs.<br>• Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability.<br>• Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations.<br>• Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support.
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment.<br><br>Responsibilities:<br>• Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.<br>• Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.<br>• Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.<br>• Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.<br>• Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.<br>• Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.<br>• Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.<br>• Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.<br>• Administer BI platforms to maintain performance, reliability, and appropriate security controls.<br>• Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. In this role, you will play a critical part in managing and organizing data systems, ensuring they are optimized for performance and scalability. Based in New York, New York, this position offers an exciting opportunity to work on cutting-edge data platforms and contribute to impactful business solutions.<br><br>Responsibilities:<br>• Design, develop, and maintain data pipelines to support efficient data integration and processing.<br>• Implement and manage Snowflake-based data repositories to centralize and secure organizational data.<br>• Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy.<br>• Develop ETL processes to extract, transform, and load data from various sources into centralized systems.<br>• Collaborate with stakeholders to define data requirements and optimize system performance.<br>• Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions.<br>• Monitor and troubleshoot data systems to ensure reliability and address any issues promptly.<br>• Deploy advanced analytics and AI models to drive operational efficiencies.<br>• Document processes and provide technical support to ensure smooth implementation and usage of data systems.
We are seeking a highly skilled Senior Systems Administrator / Infrastructure Engineer with 5+ years of hands-on experience supporting and optimizing enterprise IT infrastructure. The ideal candidate will have deep expertise in VMware virtualization, Windows Server environments, and delivering white-glove, high-touch technical support in production environments. <br> This role is critical in ensuring the stability, performance, and resilience of our infrastructure systems, including virtualization platforms, Windows-based servers, and disaster recovery solutions. <br> Key Responsibilities Administer, maintain, and optimize VMware vSphere environments Manage and support Windows Server infrastructure across production systems Install, configure, and troubleshoot Windows services and enterprise applications Provide white-glove IT support for executive and high-priority users Monitor and maintain server performance, availability, and security Design, implement, and test disaster recovery and business continuity plans Support and manage Hyper-V virtualization environments Perform routine system patching, upgrades, and lifecycle management Troubleshoot complex infrastructure issues across server and virtualization layers Collaborate with IT teams to improve infrastructure reliability and scalability
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
Position: ERP Developer - Microsoft Dynamics AX2009 / AX2012<br>Location: Wichita, KS - onsite<br>Salary: $85,000 - $100,000 base + exceptional benefits<br>ERP Developer – Microsoft Dynamics AX (AX2009 / AX2012)<br><br>Drive real impact on the shop floor. Join a growing manufacturer investing in ERP, integrations, and Industry 4.0.<br><br>What You’ll Do<br> • Customize and support Dynamics AX 2009 / 2012<br> • Build integrations between ERP, production systems, and third-party tools<br> • Develop APIs, automation, and reporting solutions<br> • Support mission-critical manufacturing applications<br><br>Tech Stack<br> • AX 2009/2012, X++, C#, .NET, SQL<br> • SQL Server, SSRS, Power BI<br> • APIs / system integrations<br><br>What We’re Looking For<br> • 3–5+ years in ERP or manufacturing IT<br> • Hands-on Dynamics AX experience (preferred)<br> • Strong in SQL + integrations<br> • Experience supporting production systems<br><br>Why This Role<br> • High visibility + direct operational impact<br> • Exposure to ERP upgrades, MES, and automation<br> • True blend of development + business impact<br><br>If you want ownership, visibility, and real-world impact—this is it.<br><br>*** 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. ***