Search jobs now Find the right job type for you Create a job alert Explore how we help job seekers Contract talent Full-Time talent Learn how we work with you Executive search Finance and Accounting Technology Marketing and Creative Legal Administrative and Customer Support Technology Risk, Audit and Compliance Finance and Accounting Digital, Marketing and Customer Experience Legal Operations Human Resources 2027 Salary Guide Demand for Skilled Talent Report Job Market Outlook Press Room Tech insights Labor market overview AI in recruiting Navigating the AI era Staffing for small businesses Cost of a bad hire Browse jobs Find your next hire Our locations

Add your latest resume to match with open positions.

6 results for Database Manager in Mount Laurel, NJ

Database Administrator
  • Wayne, PA
  • onsite
  • Temporary to Hire
  • 51.4615 - 59.587 USD / Hourly
  • 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.
  • 2026-09-11T00:00:00Z
Data Engineer
  • Princeton, NJ
  • onsite
  • Permanent / Full Time
  • 130000 - 150000 USD / Yearly
  • 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.
  • 2026-09-23T00:00:00Z
Data Engineer
  • Conshohocken, PA
  • remote
  • Permanent / Full Time
  • 100000 - 150000 USD / Yearly
  • 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.
  • 2026-10-08T00:00:00Z
Data Analyst
  • Tinton Falls, NJ
  • onsite
  • Temporary / Contract
  • 18 - 20 USD / Hourly
  • <p>Robert Half is partnering with one of its clients for a true entry level data analysis project. Role is expected to be 2 to 3 months in length. Expectations are to help with an excel reconciliation project. Great opportunity to build out a resume!</p><p><br></p><p>Responsibilities:</p><p>• Examine records to identify duplicate entries, inconsistencies, and data quality issues.</p><p>• Use Excel formulas and analytical techniques to organize, validate, and reconcile large sets of information.</p><p>• Investigate irregular payment patterns and summarize findings for internal stakeholders.</p><p>• Clean and update datasets to improve accuracy, consistency, and reporting reliability.</p><p>• Maintain clear documentation of data issues, corrective actions, and recurring trends.</p><p><br></p>
  • 2026-10-06T00:00:00Z
Data Analyst
  • Somerset, NJ
  • onsite
  • Temporary to Hire
  • 45.6 - 52.8 USD / Hourly
  • We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
  • 2026-09-25T00:00:00Z
Data Scientist
  • Bala Cynwyd, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
  • 2026-10-01T00:00:00Z