We are looking for a Database Administrator to join a contract opportunity with the potential to become permanent, based in Wayne, Pennsylvania. This position supports a mixed enterprise data environment that includes Oracle/Lawson, Snowflake, AWS-based data services, and Drupal/Acquia platforms. The role is ideal for someone who can balance core database administration with data integration, reporting support, and cloud platform optimization. You will play a key part in keeping business-critical data dependable, secure, and well-structured for operational and analytical use.<br><br>Responsibilities:<br>• Oversee the day-to-day administration of Oracle/Lawson databases, including performance monitoring, backup coordination, recovery planning, and platform maintenance.<br>• Partner with technical teams to support database needs for application updates, system enhancements, and production issue resolution.<br>• Administer and improve Snowflake environments by refining data models, tuning workloads, and supporting scalable reporting structures.<br>• Build and maintain AWS-based data pipelines using services such as S3, Lambda, and Glue to move and transform enterprise data efficiently.<br>• Create and support integration processes across multiple business systems, with a focus on data validation, transformation, reconciliation, and consistency.<br>• Prepare and organize Drupal/Acquia data for reporting, analytics, and downstream consumption by dashboards or business intelligence tools.<br>• Validate migrated and integrated data to ensure completeness, accuracy, and alignment with business rules.<br>• Develop complex SQL solutions to support data extraction, transformation, and reporting requirements across legacy and cloud platforms.<br>• Document data movement, integration logic, and governance practices to improve transparency, quality, and long-term supportability.
We are looking for an experienced Database Administrator to join our team in Westlake, Ohio. In this role, you will manage and optimize database systems to ensure high performance, security, and reliability. The ideal candidate will bring extensive expertise in database administration and a proactive approach to solving complex challenges.<br><br>Responsibilities:<br>• Administer and maintain Microsoft SQL Server databases in production environments, ensuring optimal performance and reliability.<br>• Perform regular performance tuning, indexing, and query optimization to enhance database efficiency.<br>• Implement and manage backup, recovery, and high availability solutions, such as Always On, Failover Clustering, and log shipping.<br>• Develop and automate SQL scripts and jobs using SQL Server Agent.<br>• Monitor database security, permissions, and compliance with best practices.<br>• Troubleshoot and resolve issues related to database performance, availability, and data integrity.<br>• Collaborate with cross-functional teams to align database solutions with business needs.<br>• Conduct regular audits and maintenance to ensure database health and integrity.<br>• Provide technical support and guidance to team members on database-related issues.<br>• Stay updated on industry trends and advancements in database technologies.
We are looking for a Database Administrator to join a team in Bloomfield Hills, Michigan in a contract-to-permanent capacity. This position is well suited for someone with solid database administration experience who can support day-to-day operations, review database practices, and assist engineers working across on-premises and Azure environments. The role focuses on maintaining reliable database performance, helping validate technical approaches, and contributing to data initiatives that connect into a broader data lake strategy.<br><br>Responsibilities:<br>• Manage and support database administration activities across Microsoft SQL Server, Azure SQL Database, and MySQL environments.<br>• Review database configurations, scripts, and implementation approaches to help confirm alignment with sound operational standards and best practices.<br>• Partner with data engineers by providing administrative support for both on-premises systems and cloud-based Azure database workloads.<br>• Monitor database health, identify performance bottlenecks, and carry out tuning efforts to improve stability and efficiency.<br>• Execute assigned work within Azure environments, including routine support tasks and updates provided by senior engineering team members.<br>• Assist with database-related activities tied to data flows that contribute to enterprise data lake initiatives.<br>• Troubleshoot database issues, investigate root causes, and recommend practical corrective actions to reduce recurring problems.
We are looking for a Database Administrator to support and strengthen critical data environments for a financial services organization in McAllen, Texas. This role is responsible for maintaining reliable database operations across on-premises and cloud-based platforms while helping ensure performance, security, and recoverability. The ideal candidate brings hands-on experience with Microsoft SQL Server and related database technologies, along with a proactive approach to troubleshooting, optimization, and operational documentation.<br><br>Responsibilities:<br>• Oversee the setup, configuration, patching, and ongoing administration of Microsoft SQL Server and additional database technologies used across the organization.<br>• Manage database environments hosted on local infrastructure, Microsoft Azure, and hybrid platforms to maintain stable and efficient operations.<br>• Track system health, capacity, and availability metrics, and take corrective action to prevent disruptions or performance degradation.<br>• Improve database and application responsiveness through performance analysis, tuning, and optimization of workloads and storage usage.<br>• Create and maintain operational routines for backups, index upkeep, integrity validation, and other preventive maintenance activities.<br>• Investigate database incidents, resolve service interruptions, and support recovery efforts during outages or degraded performance events.<br>• Apply security controls by managing role-based access, privileged credentials, and database permissions in alignment with internal policies and regulatory expectations.<br>• Develop, document, and test backup and restoration procedures, and support application deployments, upgrades, and data migration efforts in coordination with vendors and internal stakeholders.<br>• Maintain accurate technical documentation, including procedures, diagrams, and runbooks, and participate in after-hours maintenance or incident response when needed.
<p>Robert Half is seeking a <strong>Salesforce Administrator / CRM & Data Systems Analyst</strong> for a mission-driven organization dedicated to helping individuals and families access housing, financial assistance, and critical community resources. This is a highly visible role responsible for serving as the primary owner of the organization's Salesforce environment, ensuring data integrity, system reliability, security, and reporting accuracy.</p><p><br></p><p>This position is ideal for a self-starter who enjoys working independently, solving business problems through technology, and partnering with non-technical stakeholders to improve processes and outcomes.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Serve as the primary administrator and subject matter expert for Salesforce and related business systems.</li><li>Manage, organize, and maintain critical program, client, and organizational data across multiple platforms while ensuring data integrity, security, and confidentiality.</li><li>Develop, maintain, and optimize workflows, reporting processes, forms, integrations, and data management practices.</li><li>Support government grant reporting and funding requirements by ensuring accurate, accessible, and reliable data.</li><li>Create, analyze, and distribute reports and dashboards that provide meaningful insights into program outcomes and organizational performance.</li><li>Troubleshoot Salesforce and integrated applications, including issues related to forms, workflows, and system integrations.</li><li>Perform data backup, recovery, and ongoing system maintenance activities to ensure platform reliability and continuity.</li><li>Monitor overall system health and proactively identify opportunities for process improvements, enhancements, and efficiencies.</li><li>Provide end-user support and respond to staff inquiries related to reporting, data quality, system functionality, and Salesforce usage.</li><li>Partner with leadership and program teams to understand business processes, map data flows, and recommend solutions that improve operational effectiveness.</li><li>Support reporting environments and data integrations that leverage Tableau for analytics and reporting.</li><li>Serve as a trusted resource across the organization by delivering exceptional customer service and technical support to non-technical users.</li></ul>
We are looking for an experienced Database Technology Manager to support and strengthen enterprise technology operations in Dover, Delaware. This Long-term Contract position is ideal for a hands-on leader who can oversee database-related environments while guiding infrastructure support across desktop, remote access, and cloud-connected systems. The role requires a strong technical background, sound judgment, and the ability to maintain reliable performance across business-critical platforms.<br><br>Responsibilities:<br>• Lead the administration and ongoing support of database technology environments to ensure stability, security, and consistent system availability.<br>• Manage user access, directory services, and authentication processes within Active Directory to support organizational security standards.<br>• Oversee Citrix-based platforms and remote desktop services, resolving access issues and improving end-user connectivity.<br>• Direct desktop administration activities, including workstation support, configuration management, and deployment of hardware and software updates.<br>• Coordinate troubleshooting and maintenance for computer hardware, ensuring timely resolution of technical issues across supported environments.<br>• Support cloud-integrated infrastructure and related services within AWS, helping maintain performance, access, and operational continuity.<br>• Monitor system health, investigate incidents, and implement corrective actions that reduce downtime and improve service reliability.
<p>Staff Database Engineer</p><p>This Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on <strong>Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability</strong>. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.</p><p>What You'll Do</p><ul><li>Lead <strong>large-scale database migrations involving TB+ datasets</strong>, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing <strong>Couchbase workloads</strong> and determine whether they should remain on Couchbase or migrate to <strong>DynamoDB, DocumentDB, or another database platform</strong> based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot <strong>Couchbase XDCR or comparable replication technologies</strong>, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex <strong>multi-tenant environments</strong> with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within <strong>AWS</strong>, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support <strong>ETL/ELT pipelines feeding Snowflake or similar modern data platforms</strong>, including data validation, backfills, recovery, and troubleshooting.</li><li>Use <strong>Python and SQL</strong> for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of <strong>production database incidents</strong>, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using <strong>Datadog, CloudWatch, Azure Monitor, or similar observability tools</strong>.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul><p><br></p>
<p>We are looking for a Database Developer for a Contract position. This position is remote. This role is ideal for someone who can step into an established ServiceTitan environment, quickly assess issues, and deliver practical solutions with minimal oversight. The successful candidate will combine database expertise, workflow support, and business-focused problem solving to improve system performance, reporting, and operational efficiency.</p><p><br></p><p>Responsibilities:</p><p>• Manage and support the day-to-day operation of the ServiceTitan platform, resolving workflow and system issues in an existing environment.</p><p>• Develop, maintain, and optimize database solutions using Microsoft SQL Server, T-SQL, stored procedures, and ETL processes.</p><p>• Create reporting tools, dashboards, and data views that help business teams track performance and make informed decisions.</p><p>• Build and maintain integrations and automation processes using Python, Zapier, and related APIs where needed.</p><p>• Investigate system errors, data inconsistencies, and process gaps, then implement effective fixes with limited direction.</p><p>• Partner with stakeholders across departments to understand operational needs and translate them into scalable technical solutions.</p><p>• Support database management activities including data organization, query performance improvement, and ongoing system reliability.</p><p>• Contribute to enhancements involving ServiceTitan configurations, cross-platform connectivity, and workflow improvements as business needs evolve.</p>
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability.<br><br>Responsibilities:<br>• Design and implement database solutions that align with business requirements and technical specifications.<br>• Optimize and tune database performance to ensure efficiency and scalability.<br>• Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions.<br>• Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures.<br>• Monitor and maintain database systems, performing regular updates and performance checks.<br>• Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment.<br>• Stay updated on emerging technologies and integrate new tools into existing systems as needed.<br>• Provide technical guidance and support to team members regarding database-related issues.<br>• Ensure data integrity and security through regular audits and implementation of best practices.
<p>Robert Half is currently looking for a SQL DBA to support and optimize a highly available hosted infrastructure environment for our client in the Milwaukee area. This person will be responsible for the administration, performance, security, and reliability of Microsoft SQL Server platforms that support both internal business systems and customer-facing applications.</p><p><br></p><p>This is a hands-on role for someone who enjoys troubleshooting, automation, performance tuning, and ensuring critical database environments remain stable and secure.</p><p><br></p><p><strong>This position is open to remote employees located within Wisconsin. Candidates outside of Wisconsin are not eligible for remote consideration.</strong></p><p><br></p><p>What You'll Be Doing</p><ul><li>Administer SQL Server environments across production, development, and test systems</li><li>Install, configure, upgrade, and maintain SQL Server instances</li><li>Monitor database performance and proactively identify opportunities for optimization</li><li>Perform routine maintenance including indexing, integrity checks, and capacity planning</li><li>Design and maintain backup, recovery, and disaster recovery processes</li><li>Support high-availability and business continuity initiatives</li><li>Manage database security, permissions, and access controls</li><li>Troubleshoot database, application, and infrastructure-related issues</li><li>Develop automation and operational efficiencies using PowerShell, T-SQL, or similar scripting tools</li><li>Partner with infrastructure and application teams to support business-critical systems</li><li>Create and maintain technical documentation, standards, and operational procedures</li><li>Participate in an on-call rotation supporting production environments</li></ul><p><br></p>
<p>We are looking for a Mid-Level Database Developer to join a Financial Services team on a long-term contract assignment. This position supports the creation and upkeep of data-focused applications, cloud-enabled services, interfaces, and reporting solutions that help move information reliably across the business. The role offers the opportunity to work closely with engineers, analysts, architects, and stakeholders while building practical experience in both data engineering and software development.</p><p><br></p><p>Responsibilities:</p><p>• Build, enhance, and support data workflows and backend processes using Python, Java, SQL, Azure, and related technologies.</p><p>• Move and refine data between multiple platforms by extracting, transforming, validating, and loading information across varied source and destination systems.</p><p>• Contribute to cloud-based engineering solutions, including services for storage, processing, orchestration, monitoring, and analytics.</p><p>• Create and improve database objects such as queries, views, stored procedures, and transformation logic to support performance and reliability.</p><p>• Assist with integrating data across both relational and non-relational environments while helping maintain consistent and accurate datasets.</p><p>• Develop, test, and support software components and services that interact with internal platforms and external applications.</p><p>• Work with REST and GraphQL interfaces by building or consuming endpoints, handling authentication, managing requests and responses, and supporting error handling.</p><p>• Monitor pipelines, APIs, and applications to identify processing issues, troubleshoot defects, and improve data quality and overall system performance.</p><p>• Produce and maintain dashboards and reports in tools such as Tableau and Power BI to support operational and business visibility.</p><p>• Document technical workflows, specifications, transformation rules, and support procedures while collaborating through GitHub, code reviews, testing, and deployment activities.</p>
<p>We are a market-leading U.S. consumer packaged goods (CPG) food manufacturer specializing in top-selling, allergy-friendly, and plant-based baked goods. Founded with a mission to create safe, delicious products for individuals with severe food allergies, our products are distributed to major retail and distribution partners nationwide.</p><p>Position Overview</p><p>We are seeking a highly motivated, in-house <strong>ERP & Database Engineer</strong> to take full ownership of our business data systems—assessing, updating, and optimizing our technical infrastructure.</p><p>We currently operate on an on-premise manufacturing ERP running on a Firebird 3.0 database (approx. 14 GB across 250+ tables). Internal reporting is driven by a legacy dashboard built in Visual Basic 6.0 (VB6), Microsoft Access, and ODBC connections. The ideal candidate will quickly master our existing legacy environment, document data flows, recommend a modernized path forward, and lead the technical execution.</p><p><br></p><p><strong><em>Key Responsibilities</em></strong></p><p><br></p><p>Phase 1: Assessment & Strategy</p><ul><li><strong>System Mapping:</strong> Map data flows between the core ERP, Firebird database, legacy VB6/Access dashboard, and EDI invoicing infrastructure.</li><li><strong>Database Audit:</strong> Identify custom tables/queries, resolve duplicate or inconsistent records, repair missing keys, and extract business logic embedded in legacy reports or spreadsheets.</li><li><strong>System Health Check:</strong> Review database maintenance, automated backups, file growth trends, and database version status.</li><li><strong>Knowledge Capture:</strong> Interview key internal stakeholders across Engineering, Accounting, Sales, and Production to document legacy logic and operational workflows.</li><li><strong>Strategic Recommendation:</strong> Present a comprehensive plan (including cost, timeline, and risk analysis) choosing one of the following paths:</li></ul><ol><li>Maintain the current ERP, clean core data, and replace the legacy dashboard.</li><li>Maintain the current ERP and build a separate, well-modeled reporting database to power dashboards.</li><li>Replace the legacy ERP with a new enterprise system and execute the data migration.</li></ol><p>Phase 2: Remediation & Execution</p><ul><li>Lead the selected technical roadmap from design and architecture through system cutover.</li><li>Establish automated database maintenance, tested backup procedures, monitoring, and upgrade schedules.</li><li>Retire the legacy VB6/Access dashboard in collaboration with our internal Systems Analyst (currently developing a modern Python replacement).</li><li>Maintain comprehensive documentation and train internal team members to ensure long-term system maintainability and continuity.</li></ul><p><br></p>
We are looking for a Database Technology Product Manager to lead the strategy, development, and launch of advanced data-driven products within a hospitality environment in California. This contract-to-permanent opportunity is ideal for an experienced product leader who can connect executive priorities with technical execution, while shaping new capabilities that turn complex customer data into meaningful business insight. The right candidate will bring a strong command of machine learning, data science, and hospitality consumer behavior, along with the presence and judgment to communicate effectively at the board level.<br><br>Responsibilities:<br>• Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement.<br>• Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track.<br>• Establish and grow a technical product management function focused on research and development initiatives within the organization.<br>• Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth.<br>• Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences.<br>• Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans.<br>• Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes.<br>• Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value.<br>• Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
<p>We are seeking a Data Engineer to develop and maintain scalable data pipelines and cloud-based data platforms. This role will work closely with analytics and business teams to deliver reliable, high-quality data solutions.</p><p>Responsibilities</p><ul><li>Build and maintain ETL/ELT processes.</li><li>Develop data pipelines for structured and unstructured data.</li><li>Support enterprise data warehouse solutions.</li><li>Optimize data models and database performance.</li><li>Implement data quality and governance standards.</li><li>Collaborate with business intelligence teams.</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>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You'll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
<p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
<p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
We are looking for a Data Engineer to join a Long-term Contract opportunity based in Cincinnati, Ohio. This role will help shape enterprise-grade data applications by combining strong engineering practices with thoughtful user-focused delivery, supporting solutions that turn complex information into reliable business insights. The position works closely with cross-functional teams to build scalable data pipelines, enable high-quality analytics, and contribute to modern application experiences that are secure, dependable, and easy to use.<br><br>Responsibilities:<br>• Design and build scalable data pipelines that collect, transform, and deliver enterprise data for analytics and application use.<br>• Develop and maintain ETL workflows using Python, Apache Spark, Hadoop, and Kafka to support reliable movement of large and complex datasets.<br>• Partner with business, analytics, backend, and cloud teams to translate reporting and decision-support needs into practical data engineering solutions.<br>• Establish reusable standards for data integration, quality checks, and processing patterns to improve consistency across products.<br>• Optimize data workflows for performance, stability, and maintainability in production environments.<br>• Support secure integration between data platforms, governed datasets, and downstream applications or APIs.<br>• Contribute to testing, monitoring, and troubleshooting practices to ensure dependable data availability and issue resolution.<br>• Document data processes, technical decisions, and implementation standards so teams can scale solutions more effectively.
<p>We are looking for Data Engineering and Analytics Engineering professionals interested in exploring new opportunities with growing organizations across the Pittsburgh market. We are partnering with multiple companies that are investing in modern data platforms, cloud infrastructure, and enterprise analytics initiatives.</p><p><br></p><p><strong>Location:</strong> Pittsburgh, PA (Hybrid, Remote, and Onsite Opportunities Available)</p><p><strong>Compensation:</strong> $80,000 - $160,000+ depending on experience and position</p><p><strong>Schedule:</strong> Full-Time</p><p><br></p><p><strong>Opportunities May Include:</strong></p><ul><li>Data Engineer</li><li>Senior Data Engineer</li><li>Analytics Engineer</li><li>Data Platform Engineer</li><li>Data Warehouse Engineer</li><li>Cloud Data Engineer</li><li>ETL/ELT Developer</li><li>Data Architect</li><li>Lead Data Engineer</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable data pipelines and data platforms</li><li>Build and optimize ETL/ELT processes supporting analytics and business operations</li><li>Develop and manage cloud-based data solutions and data warehouses</li><li>Partner with analytics, business, and technology teams to deliver trusted data products</li><li>Ensure data quality, reliability, governance, and performance across enterprise environments</li><li>Automate data workflows and support modern data engineering best practices</li><li>Support reporting, analytics, AI, and machine learning initiatives through effective data architecture</li></ul>
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
<p>We are looking for a Data Engineer to help shape and strengthen the organization’s data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.</p><p>• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.</p><p>• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.</p><p>• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.</p><p>• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.</p><p>• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.</p><p>• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.</p><p>• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications</p>
<p>We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>
We are looking for a Data Engineer to join a growing team supporting data-driven initiatives within the energy and natural resources sector in Houston, Texas. This contract position with the potential to become permanent is ideal for someone who enjoys building reliable data pipelines, improving data accessibility, and working with modern big data technologies. The role offers the opportunity to contribute to scalable data solutions that support operational and business insights.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources<br>• Develop and optimize ETL workflows to support analytics, reporting, and downstream applications<br>• Use Python and Apache Spark to process large-volume datasets efficiently and reliably<br>• Work with Hadoop-based environments to manage distributed data storage and processing needs<br>• Implement and support Kafka-based data streaming solutions for real-time data movement<br>• Partner with technical and business stakeholders to understand data requirements and translate them into practical engineering solutions<br>• Monitor pipeline performance, troubleshoot data issues, and improve overall data quality and reliability