We are looking for an experienced Database Administrator to support and optimize critical database environments for a contract assignment in Illinois. This contract position is ideal for a detail-oriented candidate who brings deep expertise in database performance, stability, and capacity planning across complex Microsoft SQL Server landscapes. The role will focus on improving efficiency, safeguarding availability, and providing clear technical guidance to a range of stakeholders.<br><br>Responsibilities:<br>• Analyze database performance trends and resolve bottlenecks using wait statistics, execution plan reviews, and deadlock investigation techniques.<br>• Design and refine indexing approaches to improve query efficiency and support large-scale data processing workloads.<br>• Administer high-availability database environments, including clustered deployments, AlwaysOn configurations, and multi-instance setups.<br>• Use monitoring and diagnostic platforms such as Redgate, SQL profiling tools, and stress-testing solutions to evaluate system health and performance.<br>• Partner with technical teams to optimize partitioning strategies for large datasets and strengthen overall database reliability.<br>• Support database-related components and processes connected to SSIS and SSRS within the broader data environment.<br>• Configure and maintain database server settings in coordination with Windows Server administration, including memory allocation, access controls, and security practices.<br>• Communicate analysis results, risks, and recommended improvements clearly to both technical audiences and business stakeholders.
<p>We are looking for a Database Administrator to support a modern data environment within a growing organization in Charleston, South Carolina. In this role, you will help maintain a dependable, scalable platform that supports reporting, analytics, and emerging AI use cases. You will work closely with data, BI, and technical stakeholders to strengthen data operations, improve system performance, and promote effective platform management.</p><p><br></p><p>Responsibilities:</p><p>• Oversee daily administration of the Microsoft environment, ensuring data pipelines and dataflows run smoothly and interruptions are addressed quickly.</p><p>• Track platform health and performance, identify trends, and recommend improvements that enhance stability and efficiency.</p><p>• Develop consistent processes for incident tracking, root-cause analysis, and issue resolution to support dependable operations.</p><p>• Maintain clear technical documentation covering configurations, support procedures, and operational standards.</p><p>• Configure and support connections between internal platforms and external data sources to enable reliable integration across business systems.</p><p>• Investigate and resolve data movement issues, helping ensure accurate and timely delivery of information throughout the organization.</p><p>• Manage Azure resource usage and capacity planning, recommending adjustments that align performance with business demand.</p><p>• Collaborate with data engineers, BI professionals, and AI-focused teams to improve data structure, accessibility, and readiness for advanced analytics.</p><p>• Contribute to the ongoing development of a scalable data warehouse foundation designed to support reporting, analytics, and machine learning initiative</p>
<p>Robert Half is hiring! We are looking for a Database Administrator to support reliable, secure, and efficient data operations in Columbia, South Carolina. This role focuses on maintaining database objects, supporting reporting and analytics, and helping ensure critical data processes run smoothly. The ideal candidate combines strong SQL Server knowledge with solid troubleshooting ability and a proactive approach to improving data workflows.</p><p><br></p><p>Responsibilities:</p><p>• Develop, validate, and maintain SQL queries, stored procedures, tables, and views that support operational reporting, analytics, and business needs.</p><p>• Administer database security by setting up user access, assigning roles, and maintaining appropriate permission levels across systems.</p><p>• Build, schedule, and update SQL Server Agent jobs while monitoring execution results and addressing failures in a timely manner.</p><p>• Partner with business intelligence stakeholders to refine database logic and improve reporting accuracy and usability for departments.</p><p>• Support ETL-related processes that bring together data from multiple sources to improve consistency and accessibility.</p><p>• Monitor the health of recurring jobs and essential data pipelines to help maintain dependable system availability.</p><p>• Troubleshoot database and workflow issues, identify root causes, and implement practical fixes to reduce disruption.</p><p>• Stay current with evolving data tools, cloud platforms, and emerging technologies that may enhance database administration and reporting capabilities.</p>
We are looking for a Database Administrator to support and strengthen system performance, reporting, and data integrity for a hospitality organization in Greenville, South Carolina. This role partners with teams across the business to improve how database-driven tools are used, resolve technical issues efficiently, and turn operational needs into practical solutions. The ideal candidate brings strong administrative experience, a service-minded approach, and the ability to balance day-to-day support with long-term system optimization.<br><br>Responsibilities:<br>• Partner with internal departments to identify operational needs, translate them into system requirements, and recommend practical database and application improvements.<br>• Work closely with marketing, development, finance, and other teams to encourage effective platform usage and ensure users are prepared to use available features successfully.<br>• Monitor application and database performance, coordinate with external vendors when needed, and help manage upgrades and environment health.<br>• Respond to user support requests related to core systems, troubleshoot issues thoroughly, and escalate complex problems to third-party providers when appropriate.<br>• Produce reports, extract data, and deliver clear analysis that supports leadership decision-making and business planning.<br>• Contribute to data governance efforts by promoting accurate records, guiding duplicate resolution, and supporting ongoing data quality initiatives.<br>• Review existing workflows tied to database-supported systems and develop more efficient processes that improve consistency, accuracy, and user experience.<br>• Maintain security access, backup routines, and scheduled maintenance activities to protect data and support reliable system operations.<br>• Document system structures, standards, and definitions to improve transparency and help users better understand available data resources.
<p>We are looking for a Database Administrator with a strong background in database administration to join our team in Cleveland, Ohio. In this role, you will be responsible for designing, implementing, and maintaining database systems to meet business needs while ensuring optimal performance and security. The ideal candidate will have a proven track record in managing complex database solutions and collaborating with stakeholders to deliver high-quality results.</p><p><br></p><p>Responsibilities:</p><p>• Assess database requirements by engaging with stakeholders and analyzing current and future application needs.</p><p>• Design and recommend database structures, security protocols, and backup and recovery strategies tailored to business objectives.</p><p>• Develop technical specifications for application upgrades and new implementations, ensuring alignment with project goals.</p><p>• Collaborate with project managers, system owners, and vendors to coordinate installation requirements and schedules.</p><p>• Create detailed project plans and timelines for database installations and software releases.</p><p>• Implement database systems based on technical requirements and business processes.</p><p>• Optimize database performance by configuring parameters and deploying updates for Oracle and Microsoft SQL Server.</p><p>• Monitor and fine-tune database systems to ensure reliability, efficiency, and scalability.</p><p>• Provide technical guidance and support for cloud-based database solutions, including AWS, Azure, and Google Cloud Platform.</p><p>• Stay up-to-date with advancements in database technologies to recommend improvements and innovative solutions.</p>
<p>We are looking for a Database Administrator to join a team supporting complex enterprise database environments. This opportunity is ideal for someone who excels at maintaining stable, secure, and efficient database systems while partnering with technical teams to solve performance and availability challenges. The role centers on administration, optimization, recovery planning, and continuous improvement across Oracle and Microsoft SQL Server platforms.</p><p><br></p><p>Responsibilities:</p><p>• Administer and maintain enterprise database platforms, including Oracle and Microsoft SQL Server, to support reliable day-to-day operations.</p><p>• Monitor database health proactively, investigate issues quickly, and take corrective action to improve stability and system performance.</p><p>• Analyze execution behavior and refine database structures or queries to strengthen response times and overall efficiency.</p><p>• Develop, manage, and validate backup, recovery, and disaster recovery processes to protect critical data and maintain business continuity.</p><p>• Plan and perform database patching, upgrades, and version evaluations while minimizing operational risk.</p><p>• Configure and support clustered database environments, including troubleshooting failover and high-availability related issues.</p><p>• Work closely with application and development teams to resolve database-related incidents, support releases, and align technical solutions with business needs.</p><p>• Maintain clear operational documentation, track service requests through resolution, and respond to alerts or escalations within established service expectations.</p>
We are looking for a detail-oriented Database Administrator to support fundraising operations through reliable database stewardship and reporting in Fairlee, Vermont. This Contract position focuses on maintaining and improving the performance of a Raiser’s Edge environment, helping teams manage donor information, gifts, event records, and outreach activity with accuracy and care. The role works closely with finance and internal stakeholders to uphold data quality, security, and compliance while supporting day-to-day database needs in a hybrid work setting.<br><br>Responsibilities:<br>• Oversee the daily administration of the Raiser’s Edge database, keeping constituent and fundraising records complete, accurate, and current.<br>• Build and manage imports, queries, exports, and reports that support campaigns, development activity, events, and leadership reporting needs.<br>• Record and track donations, pledges, acknowledgements, and online contributions with a high level of precision and timeliness.<br>• Partner with finance staff to balance donation records, prepare supporting documentation, and assist with audit and tax-related reporting requirements.<br>• Establish and maintain standards for data entry, record management, and database governance to promote consistency across the organization.<br>• Coordinate event-related data activities, including registrations, participant records, and outcome reporting using Raiser’s Edge and associated online tools.<br>• Provide user support by answering questions, resolving system issues, and guiding staff on effective database practices.<br>• Safeguard sensitive information by monitoring system access, supporting database security practices, and helping ensure reliable system performance.
<p>We are looking for an experienced Director of Data & Analytics to oversee and optimize database systems and related technologies within our organization. The ideal candidate will bring expertise in Active Directory, Citrix technologies, and desktop administration, ensuring seamless operations and robust technical support. This role requires a proactive approach to managing computer hardware, remote desktop support, and system performance.</p><p><br></p><p>Responsibilities:</p><p>• Manage and maintain database systems to ensure optimal functionality and security.</p><p>• Oversee Active Directory configurations and troubleshoot related issues.</p><p>• Administer Citrix technologies to provide efficient and reliable access to applications.</p><p>• Supervise desktop administration tasks, including software installations and updates.</p><p>• Ensure the proper functioning of computer hardware through routine checks and timely repairs.</p><p>• Provide remote desktop support to address user issues and resolve connectivity challenges.</p><p>• Monitor system performance and implement improvements to enhance efficiency.</p><p>• Collaborate with IT teams to design and implement technology solutions that meet organizational needs.</p><p>• Develop and enforce policies for data management and system usage.</p><p>• Train and mentor team members to align with best practices and emerging technologies</p>
We are looking for a Database Developer to support a manufacturing organization in Dayton, Ohio by building connected reporting solutions across plant systems and Microsoft technologies. This Long-term Contract position will focus on creating dependable, real-time visibility into production data through Power Platform, SharePoint, and Power BI tools. The ideal candidate is comfortable taking technical ownership, resolving integration challenges, and delivering practical solutions with limited day-to-day direction.<br><br>Responsibilities:<br>• Build and maintain integrations across Power Apps, SharePoint, and Power BI to deliver timely production reporting and visual dashboards.<br>• Connect manufacturing equipment with Microsoft-based platforms so operational data can be captured and displayed accurately.<br>• Create and support data pipelines that power live shop-floor metrics, reporting views, and management dashboards.<br>• Organize and enhance SharePoint lists, libraries, and related data structures to function as a reliable central repository.<br>• Diagnose and resolve issues affecting system integration, data flow performance, and connectivity between plant equipment and reporting tools.<br>• Monitor and improve the stability of networked data transmission to help ensure consistent communication across connected systems.<br>• Partner with operations teams and site leadership to translate business reporting needs into effective technical solutions.<br>• Verify data quality, investigate discrepancies, and optimize overall platform reliability for production reporting.<br>• Support the deployment and refinement of Power BI dashboards as the reporting environment continues to expand.
We are looking for a Database Engineer to support the performance, stability, and scalability of a modern data platform in Irvine, California. This role focuses on building dependable data pipelines, improving platform operations, and ensuring data assets remain governed, accessible, and cost-efficient in a production environment. The ideal candidate brings strong hands-on experience with Databricks, Spark, Python, SQL, and SQL Server, along with the ability to troubleshoot issues across orchestration, storage, and source system connectivity.<br><br>Responsibilities:<br>• Oversee daily health and uptime of Databricks pipelines, job schedules, compute resources, Delta Lake datasets, and warehouse environments to maintain consistent platform performance.<br>• Design, build, and refine Spark-based data processing workflows in Databricks notebooks across bronze, silver, and gold layers, including incremental ingestion patterns using Auto Loader and streaming frameworks when needed.<br>• Support and enhance workflow orchestration through Databricks Workflows and Apache Airflow, with attention to data delivery timelines, reliability targets, and operational continuity.<br>• Administer data governance controls in Unity Catalog by managing schemas, permissions, lineage visibility, and catalog structures within a regulated environment.<br>• Maintain and optimize Microsoft SQL Server databases used as source and downstream data stores, improving query execution, indexing strategy, schema organization, and overall system efficiency.<br>• Track compute utilization and platform spend by implementing monitoring, alerting, and resource tuning practices that improve predictability and cost control.<br>• Investigate and resolve end-to-end production issues involving failed jobs, data validation concerns, evolving schemas, and connectivity or authentication problems with upstream systems.<br>• Contribute to shared operational ownership by creating documentation, runbooks, and support procedures that strengthen team coverage and reduce dependency on any one individual.<br>• Produce clear technical documentation for pipeline design, platform operations, and maintenance practices to support long-term scalability and team collaboration.
<p>We are seeking a hands-on SQL DBA / Report Writer who enjoys owning critical database environments, solving complex data challenges, and driving improvements across reporting and data processes. This is an opportunity to step into a highly visible role where your expertise will directly influence the reliability, performance, and accuracy of a large-scale enterprise data environment.</p><p>The ideal candidate is proactive, technically strong, and comfortable taking initiative to identify issues, improve processes, and ensure business-critical reporting is delivered accurately and on time.</p><p><strong>What You'll Own</strong></p><p>This position combines SQL Database Administration and SQL Development/Reporting responsibilities, providing a balance of operational support and project-based work.</p><p><strong>Database Administration</strong></p><ul><li>Proactively monitor, maintain, and optimize SQL Server database environments</li><li>Identify and resolve performance bottlenecks before they impact users</li><li>Design, develop, and maintain indexes, stored procedures, and database objects</li><li>Ensure database health, availability, and data integrity across multiple systems</li><li>Analyze trends and recommend improvements to enhance scalability and performance</li><li>Troubleshoot and resolve complex database issues in a timely manner</li></ul><p><strong>Reporting & Development</strong></p><ul><li>Design, develop, and enhance SSRS reports that support critical business operations</li><li>Collaborate with stakeholders to understand reporting requirements and deliver meaningful solutions</li><li>Investigate reporting discrepancies and implement long-term fixes</li><li>Validate data accuracy and ensure reporting outputs meet business expectations</li><li>Continuously improve reporting processes and identify opportunities for automation</li></ul><p><strong>Data Management & Operational Support</strong></p><ul><li>Take ownership of data quality and proactively address inconsistencies</li><li>Analyze upstream system changes and assess impacts to reporting and database structures</li><li>Resolve schema, mapping, and integration issues to ensure seamless data flow</li><li>Support time-sensitive operational initiatives while maintaining accuracy and reliability</li><li>Partner with technical and business teams to deliver solutions that improve efficiency and data confidence</li></ul>
We are looking for a Data Engineer to support and enhance critical data operations in Greenville, South Carolina. This role focuses on keeping data platforms dependable, efficient, and scalable across both real-time and scheduled workflows. The ideal candidate will bring strong technical expertise in cloud-based data environments and a proactive approach to improving performance, automation, and data reliability.<br><br>Responsibilities:<br>• Oversee the health and performance of data pipelines that run across Snowflake, Kafka, and connected platforms.<br>• Investigate operational issues affecting data ingestion, transformation, or downstream delivery and drive timely resolution.<br>• Maintain stable batch and streaming processes by improving resiliency, uptime, and overall execution efficiency.<br>• Administer Snowflake resources, including warehouses, databases, permissions, and usage optimization.<br>• Manage Kafka infrastructure by tuning clusters, topics, partitions, and consumer group behavior for reliable throughput.<br>• Create and maintain automated solutions for deployment, monitoring, failure recovery, and routine workflow support.<br>• Develop operational scripts and utilities using Python, Bash, and related tools to reduce manual effort and improve consistency.<br>• Contribute to CI/CD practices that strengthen the release and maintenance process for data infrastructure.<br>• Partner with engineering and analytics teams to improve pipeline design, data performance, and delivery accuracy.<br>• Support data governance, security, compliance, and data quality standards through validation checks and alerting frameworks.
<p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
<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><b>ONSITE</b></p><p>Seeking a Data Engineer to build and optimize scalable data pipelines and platforms supporting enterprise analytics, reporting, and AI initiatives.</p><p> </p><p><strong>Responsibilities</strong></p><ul><li>Build ETL/ELT pipelines (batch & streaming)</li><li>Design scalable data architectures (Lakehouse, warehouse)</li><li>Ensure data quality, governance, and security</li><li>Optimize performance, cost, and reliability</li><li>Partner with analytics, BI, and engineering teams</li></ul>
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
<p>We are seeking a skilled <strong>Data Engineer</strong> with strong experience in <strong>ETL development, Snowflake, and Python</strong> to join our team. This role will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions that support analytics, reporting, and business decision-making.</p><p>The ideal candidate has hands-on expertise in modern data engineering practices, strong problem-solving abilities, and experience working with structured and unstructured data in fast-paced environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain robust <strong>ETL/ELT pipelines</strong> for ingesting, transforming, and loading data from multiple sources</li><li>Build and optimize data solutions within <strong>Snowflake</strong></li><li>Develop reusable scripts and workflows using <strong>Python</strong></li><li>Integrate data from APIs, databases, flat files, and third-party platforms</li><li>Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability</li><li>Collaborate with analytics, engineering, and business teams to understand data requirements</li><li>Ensure data quality, integrity, governance, and security across platforms</li><li>Support data modeling, warehouse design, and performance tuning</li><li>Document technical designs, workflows, and operational processes</li><li>Participate in code reviews, testing, and deployment activities</li></ul><p><br></p>
We are looking for a Data Engineer to join a real estate and property organization in Chicago, Illinois on a contract-to-permanent basis. This role is ideal for a hands-on builder who can create and improve modern data pipelines, manage core data platforms, and support reliable data delivery across the business. You will work within the Azure ecosystem to develop scalable solutions that connect multiple data sources, strengthen data quality, and enable informed decision-making.<br><br>Responsibilities:<br>• Design, build, and enhance end-to-end data pipelines using Microsoft Fabric and/or Azure Data Factory for production use.<br>• Manage and improve the data environment with a strong ownership mindset, ensuring performance, reliability, and maintainability.<br>• Integrate data from varied sources such as APIs, databases, and flat files into structured, usable datasets.<br>• Develop data models and schema designs that support reporting, analytics, and downstream business needs.<br>• Monitor data quality and implement validation checks, troubleshooting issues through root cause analysis and continuous optimization.<br>• Create scalable cloud-based data solutions within Azure that support long-term operational and analytical goals.<br>• Partner with cross-functional stakeholders to translate business questions into practical data engineering solutions.<br>• Contribute to orchestration, automation, and ongoing support of data workflows using modern engineering tools and programming languages.
<p>We are looking for a Data Engineer to join a team on a Long-term Contract assignment. This position will play a key role in strengthening an established Microsoft Fabric environment by building scalable data solutions that improve reliability, accessibility, and business value. The ideal candidate brings strong technical depth in modern data engineering, paired with the ability to evaluate data design choices thoughtfully and communicate effectively with stakeholders. You will work with business-facing data needs while helping shape well-structured datasets that support reporting, analytics, and long-term platform maturity.</p><p><br></p><p>Responsibilities:</p><p>• Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability.</p><p>• Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets.</p><p>• Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context.</p><p>• Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization.</p><p>• Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes.</p><p>• Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues.</p><p>• Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools.</p><p>• Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions.</p><p>• Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases.</p>
We are looking for a Data Engineer to help strengthen enterprise data capabilities and expand access to reliable information across the organization. This position focuses on building scalable data solutions that support analytics, reporting, and informed decision-making. Based in San Diego, California, the role works closely with both technical and business stakeholders to deliver dependable, high-quality data assets.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines that move and transform information from diverse platforms into usable analytical datasets.<br>• Develop and support end-to-end integration workflows across multiple systems to ensure consistent and timely data delivery.<br>• Design data models and reporting structures that improve usability, performance, and accessibility for downstream analytics needs.<br>• Track data quality and platform performance, investigating issues and resolving reliability concerns before they affect business operations.<br>• Collaborate with cross-functional partners to translate reporting and analytics needs into scalable technical solutions.<br>• Maintain clear documentation and contribute to governance practices that promote accuracy, consistency, and operational discipline.<br>• Assist with validation, release activities, and continuous enhancements to improve the overall effectiveness of the data platform.<br>• Contribute to cloud-based data engineering efforts using tools such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Spark, Kafka, and Hadoop where appropriate.
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations.<br><br>Responsibilities:<br>• Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin.<br>• Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment.<br>• Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems.<br>• Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy.<br>• Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions.<br>• Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards.<br>• Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows.<br>• Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments.<br>• Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
<p>We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.</p><p>• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.</p><p>• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.</p><p>• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.</p><p>• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.</p><p>• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.</p><p>• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.</p><p>• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model</p>
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
<p><b>Data Engineer</b></p><p>Onsite | Austin, TX | Contract</p><p><br></p><ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT processes</li><li>Develop and manage data architectures such as data warehouses, data lakes, and lakehouses</li><li>Ingest and integrate data from multiple sources (databases, APIs, streaming platforms)</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize data processing, storage, and query performance</li><li>Collaborate with data analysts, data scientists, and business teams to support analytics and reporting needs</li><li>Implement automation for data workflows, monitoring, and error handling</li><li>Troubleshoot and resolve data pipeline issues and performance bottlenecks</li><li>Support batch and real‑time data processing frameworks</li><li>Document data models, pipelines, and data engineering processes</li></ul>
<p>We are seeking a <strong>Data Engineer</strong> with strong experience in <strong>Microsoft Azure</strong> and <strong>Databricks</strong> to help design, build, and maintain modern cloud-based data solutions. This individual will play a key role in developing scalable data pipelines, optimizing data architectures, and enabling business intelligence and analytics initiatives across the organization.</p><p>This is an excellent opportunity for someone passionate about cloud technologies, big data, and transforming raw data into actionable insights.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines in Azure and Databricks</li><li>Build and optimize ETL/ELT processes for structured and unstructured data</li><li>Develop and support data lake, data warehouse, and analytics solutions</li><li>Integrate data from multiple internal and external sources</li><li>Collaborate with business analysts, data scientists, and stakeholders to understand data requirements</li><li>Ensure data quality, integrity, security, and governance standards are met</li><li>Monitor and troubleshoot data workflows and performance issues</li><li>Create and maintain technical documentation and data models</li><li>Support reporting and analytics initiatives by delivering reliable datasets</li></ul><p><br></p>