We are looking for an experienced Database Technology Manager to oversee the stability, security, and performance of enterprise database environments in Tempe, Arizona. This role combines hands-on database administration with team leadership, requiring someone who can guide technical staff, improve operational standards, and communicate clearly with both technical and non-technical stakeholders. The ideal candidate brings strong Microsoft SQL Server expertise, a disciplined approach to backup and recovery planning, and the ability to support reliable database operations in a regulated setting.<br><br>Responsibilities:<br>• Lead the administration and day-to-day support of production Microsoft SQL Server environments, ensuring high availability, reliability, and consistent performance.<br>• Supervise and mentor technical team members, establish operational standards, and review database-related work for quality and accuracy.<br>• Manage core SQL Server services and features, including instance setup, Always On availability groups, backup and restore processes, SQL Server Agent, and Database Mail.<br>• Develop, maintain, and validate backup and disaster recovery strategies through regular testing and documented recovery procedures.<br>• Analyze database performance issues using execution plans, wait statistics, and tuning techniques to improve efficiency and system responsiveness.<br>• Create and maintain PowerShell-based automation to streamline administrative tasks and reduce manual effort.<br>• Oversee database security controls, permissions, and compliance practices within an audited or regulated environment.<br>• Produce clear technical documentation such as runbooks, incident summaries, and architecture recommendations for a broad audience.<br>• Support upgrade and migration activities across database versions when needed, while minimizing operational disruption.<br>• Participate in on-call support rotations and perform after-hours maintenance to sustain system availability.
We are looking for a Database Technology Manager to guide the direction and hands-on delivery of a modern data environment for our organization in Tampa, Florida. This Long-term Contract position is suited for a leader who can shape data strategy while remaining actively involved in architecture, engineering, reporting, and analytics work. The role partners with business and executive stakeholders to turn operational and financial data into reliable insights, scalable platforms, and stronger governance across the enterprise.<br><br>Responsibilities:<br>• Define and carry out an enterprise data strategy that supports reporting, analytics, integration, and governance objectives across the business.<br>• Lead the design, development, and optimization of data architecture, pipelines, and storage solutions using Microsoft SQL Server, Azure, and related technologies.<br>• Build and enhance business intelligence capabilities by delivering clear, impactful dashboards and reporting solutions through Power BI.<br>• Collaborate with teams across Finance, Operations, Human Resources, and leadership to identify data needs and translate them into practical technical solutions.<br>• Oversee data warehousing initiatives and establish standards that improve data quality, consistency, accessibility, and long-term scalability.<br>• Contribute directly to data engineering efforts through hands-on development, troubleshooting, and performance tuning using SQL and Python.<br>• Guide integration and reporting solutions connected to platforms such as NetSuite and Workday to improve visibility and decision-making.<br>• Manage and mentor a small data team, setting priorities, promoting best practices, and supporting future team growth.<br>• Drive continuous improvement in governance, documentation, and analytics processes to strengthen trust in enterprise data assets.
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.
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.
We are looking for a Database Administrator to support critical enterprise systems and data operations for a non-profit organization in Battle Creek, Michigan. This Long-term Contract position is ideal for a hands-on specialist who can balance database administration, application support, integration work, and technical problem-solving in a collaborative IT environment. The role will contribute to system reliability, data accuracy, and ongoing improvements across business platforms while partnering with internal teams and external vendors.<br><br>Responsibilities:<br>• Administer and maintain database environments by monitoring system health, improving performance, managing security, and overseeing backup, recovery, and capacity needs.<br>• Investigate and resolve issues affecting enterprise applications, ensuring stable operation across core business platforms and connected technologies.<br>• Create, refine, and troubleshoot database queries to support reporting, data validation, and resolution of integrity or reconciliation concerns.<br>• Build, support, and debug integrations, APIs, automated data exchanges, and pipeline processes that connect systems across the organization.<br>• Maintain dependable data movement into reporting and analytics platforms, addressing failed refreshes, load problems, and mismatches between source data and reports.<br>• Assist with software deployments, upgrades, data conversions, testing activities, cutover tasks, and post-launch stabilization efforts.<br>• Partner with third-party vendors and technical service providers to diagnose complex incidents and drive issues through to completion.<br>• Produce clear technical documentation for databases, applications, and integration workflows while sharing knowledge with team members to strengthen cross-functional support.
<p>We are looking for a motivated Database Administrator for a Long-term Contract basis. This role is well suited for someone who can work independently, follow guidance from senior team members, and contribute to day-to-day Salesforce administration and database-related support. The position focuses on building and maintaining Salesforce configurations while helping ensure data integrity, usability, and efficient system performance.</p><p><br></p><p>Responsibilities:</p><p>• Build and maintain custom objects, fields, and related configuration within Salesforce to support business needs.</p><p>• Assist senior team members with administrative tasks and carry out assigned priorities with minimal supervision.</p><p>• Configure user access settings, including profiles, permissions, and field-level security, to support appropriate data visibility.</p><p>• Support ongoing platform upkeep by reviewing data quality, troubleshooting issues, and helping maintain reliable system performance.</p><p>• Collaborate with stakeholders and technical teammates to understand requirements and translate them into practical system updates.</p><p>• Contribute to database administration activities involving Microsoft SQL Server, Azure SQL Database, MySQL, and Microsoft SQL environments.</p><p>• Help monitor and improve system efficiency through performance analysis, tuning, and routine optimization efforts.</p><p>• Provide support for Salesforce Service Cloud configuration and related administrative processes as needed.</p>
<p>We are seeking an experienced Database Administrator to support, maintain, and optimize enterprise database environments. The ideal candidate will be responsible for ensuring the performance, availability, security, and reliability of critical database systems while supporting business applications and infrastructure initiatives.</p><p>In this role, you will administer and monitor database platforms, design and implement database structures, perform performance analysis and tuning, and support database upgrades, migrations, backups, and recovery processes. You will develop and maintain database administration standards, procedures, and technical documentation while collaborating with development, infrastructure, and business teams to deliver scalable and secure data solutions.</p><p>The successful candidate should have extensive experience managing enterprise database environments, strong knowledge of database architecture and performance optimization, and proficiency in SQL development and troubleshooting. Experience working with multiple database technologies, operating systems, and cloud-based platforms is highly desirable.</p><p>Additionally, this role requires strong analytical and problem-solving skills, excellent communication abilities, and the capability to work effectively in both independent and team-oriented environments. Responsibilities may also include mentoring technical staff, participating in system planning and implementation projects, supporting disaster recovery initiatives, and contributing to continuous improvement efforts across the organization.</p><p>Qualifications<strong>:</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, Information Technology, or a related field, or equivalent work experience.</li><li>Extensive experience in database administration and support.</li><li>Strong understanding of database design, performance tuning, backup and recovery, and security best practices.</li><li>Proficiency with SQL and database management tools.</li><li>Experience supporting enterprise-level applications and high-availability environments.</li><li>Ability to manage multiple priorities and provide technical leadership when needed.</li></ul><p>This position offers the opportunity to work with complex, business-critical systems while contributing to the reliability, performance, and growth of enterprise data environments.</p><p><br></p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Database Administrator</strong> <strong>(contract).</strong> In this role, you will support the performance, reliability, and security of critical database environments. This role is responsible for database administration, monitoring, optimization, backup and recovery management, and production support across a growing technology ecosystem. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Administer, maintain, and optimize database environments to ensure reliability, availability, and performance</li><li>Monitor database health, capacity, and resource utilization while proactively identifying and resolving issues</li><li>Perform database performance tuning, query optimization, and indexing improvements</li><li>Manage database installations, upgrades, patches, and configuration changes</li><li>Develop and maintain backup, recovery, and disaster recovery processes to support business continuity objectives</li><li>Validate backup and recovery procedures through regular testing and documentation</li><li>Support production environments by diagnosing and resolving database-related incidents and service disruptions</li><li>Conduct root-cause analysis and implement corrective actions to improve system stability</li><li>Implement and maintain database security controls, auditing processes, and access management practices</li><li>Support internal and external audit activities and assist with compliance-related requirements</li><li>Develop and enhance monitoring, alerting, and automation solutions to improve operational efficiency</li><li>Collaborate with Engineering, Infrastructure, and DevOps teams to support application performance and scalability</li><li>Provide guidance on database design, schema development, data modeling, and best practices</li><li>Assist with data integration, migration, and modernization initiatives</li><li>Create and maintain technical documentation, operational procedures, and knowledge-sharing resources</li><li>Identify opportunities for continuous improvement in database operations, reliability, and scalability</li></ul><p><br></p>
<p>For our client, we are seeking an experienced Database Administrator to manage, maintain, secure, and optimize enterprise database environments. This individual will be responsible for database performance, availability, backup and recovery, troubleshooting, and supporting application teams with database-related initiatives.</p>
We are looking for an experienced Senior Database Administrator to support a complex Microsoft SQL Server environment. This long-term contract position is focused on maintaining dependable, secure, and high-performing database platforms across development, testing, and production environments. The role partners closely with application, infrastructure, and security teams to strengthen availability, improve performance, and uphold data protection standards. This opportunity is ideal for someone who brings deep technical expertise in database operations, recovery planning, automation, and operational support.<br><br>Responsibilities:<br>• Oversee the day-to-day administration of Microsoft SQL Server databases to maintain stability, uptime, and consistent performance across multiple environments.<br>• Direct backup, restore, high-availability, and disaster recovery activities to ensure business continuity and readiness for operational interruptions.<br>• Investigate and resolve performance bottlenecks, blocking events, deadlocks, failed scheduled jobs, and storage or capacity concerns.<br>• Partner with development teams to refine database queries, improve indexing strategies, and analyze execution plans for stronger application performance.<br>• Manage database security by maintaining user access, role assignments, permissions, auditing controls, and privileged account practices.<br>• Contribute to onboarding efforts related to database account access and privileged credential management, including coordination with security access tools.<br>• Implement and support data masking approaches that protect sensitive information and help meet regulatory and internal compliance expectations.<br>• Create and maintain automation scripts for recurring administrative tasks, monitoring, deployments, and operational support processes.<br>• Assist with patching, upgrades, migrations, and environment refresh efforts while minimizing operational disruption.<br>• Produce and maintain technical documentation, maintenance procedures, and recovery runbooks to support consistent and repeatable database operations.
<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 Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</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>
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
<p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building modern, cloud-based data platforms that drive business intelligence, reporting, and advanced analytics. This role is ideal for someone with deep expertise in <strong>Microsoft Azure</strong>, <strong>Microsoft Fabric</strong>, and modern data engineering practices.</p><p>You will be responsible for designing and developing scalable data solutions, optimizing data pipelines, and helping shape the organization's data architecture strategy. The ideal candidate is both hands-on and strategic, with experience building enterprise data platforms in Azure and Fabric environments.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain enterprise data solutions using <strong>Microsoft Fabric</strong> and <strong>Azure Data Services</strong>.</li><li>Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.</li><li>Develop and manage data lakes, lakehouses, warehouses, and semantic models.</li><li>Design data integration solutions using Fabric Data Factory, Dataflows, and Azure Data Factory.</li><li>Implement data governance, security, quality, and monitoring frameworks.</li><li>Partner with business stakeholders to understand reporting and analytics requirements.</li><li>Support Power BI developers by building trusted, high-quality data models and datasets.</li><li>Optimize data storage, query performance, and platform scalability.</li><li>Develop data architecture standards, best practices, and documentation.</li><li>Collaborate with application development teams to integrate operational systems with enterprise analytics platforms.</li><li>Support real-time and batch data processing initiatives.</li><li>Participate in architecture reviews, code reviews, and technical leadership activities.</li></ul><p><br></p>
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting.<br>• Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability.<br>• Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains.<br>• Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption.<br>• Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations.<br>• Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions.<br>• Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets.<br>• Support file-based data exchange and integration processes, including secure FTP-based transfers where required.
We are looking for a Data Engineer to join a confidential enterprise organization in McKinney, Texas and help advance a large-scale cloud data environment. This contract opportunity with potential for a permanent role focuses on building and refining a modern lakehouse platform in Azure, with a strong emphasis on Azure Databricks and scalable data engineering practices. The role will work across technical and business teams to create dependable, secure, and high-performing data solutions that support analytics and decision-making.<br><br>Responsibilities:<br>• Create and maintain robust data pipelines in Azure Databricks using Spark-based engineering approaches to support large-volume processing needs.<br>• Build ingestion frameworks that bring data from APIs, event streaming platforms, cloud storage, and enterprise systems into structured lakehouse layers.<br>• Apply lakehouse design standards across bronze, silver, and gold environments to improve data usability, consistency, and downstream reporting value.<br>• Enhance platform efficiency by tuning Spark workloads, refining storage strategies, and improving processing performance and cost management.<br>• Connect Databricks solutions with Azure services such as Data Factory, Synapse, Data Lake Storage, Event Hub, Key Vault, and Azure DevOps.<br>• Establish secure data access patterns through governance controls, identity-based access, and protection measures such as masking and policy alignment.<br>• Partner with architects, analysts, data scientists, and business stakeholders to deliver trusted datasets, metrics, and KPI-ready data assets.<br>• Strengthen data reliability by implementing validation checks, monitoring, lineage tracking, alerting, and recovery processes for critical workflows.<br>• Contribute technical leadership through code reviews, engineering guidance, and mentoring support for other members of the data team.
<p>We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data pipelines, improving data availability, and enabling scalable processing for analytics and operational needs. The ideal candidate brings strong hands-on experience with modern data engineering tools and can work across large data sets with accuracy and efficiency.</p><p><br></p><p><strong>Role :</strong></p><ul><li>Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.</li><li>Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.</li><li>Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.</li><li>Build, optimize, and support ETL pipelines across on-premises and cloud environments.</li><li>Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.</li><li>Validate reporting logic, data transformations, and reporting accuracy.</li><li>Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.</li><li>Participate in architecture discussions and provide technical recommendations aligned with business objectives.</li><li>Create and maintain technical documentation including solution designs, data mappings, and operational procedures.</li><li>Participate in code reviews and enforce development, reporting, and data governance standards.</li><li>Mentor junior developers through technical guidance and knowledge-sharing activities.</li><li>Support Agile delivery activities including sprint planning, backlog refinement, and project execution.</li><li>Collaborate with stakeholders and leadership teams to support business intelligence initiatives.</li><li>Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.</li></ul><p><br></p><p><br></p><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>
We are looking for a Data Engineer to join our team in Salt Lake City, Utah and help build reliable, scalable data solutions that support key business initiatives. This role is ideal for someone who combines strong hands-on engineering ability with sound technical judgment and can guide decisions across architecture, delivery, and system improvement. The right candidate brings experience working with modern cloud services, data modeling practices, and collaborative development environments while communicating effectively with both technical and business partners.<br><br>Responsibilities:<br>• Lead the technical direction for a core data domain, making thoughtful architecture decisions that support scalability, reliability, and long-term maintainability.<br>• Design, build, and enhance data pipelines and platform components using Python, SQL, DBT, and cloud-based services within AWS environments.<br>• Develop data models aligned with Kimball methodology to support analytics, reporting, and downstream business use cases.<br>• Break large initiatives into clear technical workstreams, estimate effort, and drive execution against timelines while monitoring progress and addressing delivery risks.<br>• Work closely with cross-functional partners to convert business goals into practical data solutions and provide guidance on technical tradeoffs.<br>• Establish and reinforce engineering standards through code reviews, design discussions, and implementation of best practices for quality and performance.<br>• Identify areas of technical debt, prioritize remediation efforts, and balance platform stability with the delivery of new capabilities.<br>• Implement monitoring, alerting, and maintenance strategies that improve system health, data reliability, and operational visibility.<br>• Assess emerging tools and approaches to recommend improvements that strengthen system efficiency, searchability, and maintainability.
We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting.<br><br>Responsibilities:<br>• Create and refine scalable data structures that support reporting, analytics, and long-term platform growth.<br>• Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use.<br>• Connect data from multiple enterprise applications and align it into a consistent, usable format.<br>• Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency.<br>• Enhance existing ingestion and transformation workflows to support expanding business and analytics needs.<br>• Strengthen platform stability through better monitoring, testing practices, and operational improvements.<br>• Tune and optimize data processing performance while contributing to ongoing platform enhancements.<br>• Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability.<br>• Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making.<br>• Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
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.