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11 results for Database Manager in Princeton, NJ

Data Engineer
  • Saddle Brook, NJ
  • onsite
  • Temporary to Hire
  • 75 - 75 USD / Hourly
  • <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>
  • 2026-10-22T00:00:00Z
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 Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
  • 2026-10-15T00:00:00Z
Data Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
  • 2026-10-16T00:00:00Z
Senior Database Administrator
  • Fort Washington, PA
  • onsite
  • Temporary / Contract
  • 45 - 49 USD / Hourly
  • 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.
  • 2026-10-16T00:00:00Z
Data Analyst
  • New York, NY
  • onsite
  • Temporary / Contract
  • 35.15 - 40.7 USD / Hourly
  • We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes.<br><br>Responsibilities:<br>• Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts.<br>• Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy.<br>• Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders.<br>• Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability.<br>• Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity.<br>• Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting.<br>• Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
  • 2026-10-28T00:00:00Z
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 Analyst
  • New York, NY
  • onsite
  • Temporary / Contract
  • 33 - 37 USD / Hourly
  • We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business.<br><br>Responsibilities:<br>• Create analytical models and decision-support templates to assess new business and converted opportunities.<br>• Evaluate deal economics by examining margins, pricing structures, and overall commercial viability.<br>• Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points.<br>• Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability.<br>• Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes.<br>• Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
  • 2026-10-28T00:00:00Z
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.
  • 2026-10-22T00:00:00Z
Program Manager
  • Radnor, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p><strong>Program Manager</strong></p><p>A client of ours is looking for a Program Manager for a contract role to lead and coordinate strategic business initiatives, product launches, and customer-focused programs within a manufacturing environment. This role will partner closely with commercial, operations, supply chain, customer service, and executive leadership teams to ensure projects are delivered on time, within scope, and aligned with organizational objectives. The Program Manager will serve as a key liaison across departments, driving execution, visibility, and continuous improvement while balancing customer expectations and business priorities.</p><p><br></p><p><strong>Responsibilities of Program Manager </strong></p><ul><li>Lead multiple projects and programs simultaneously, ensuring alignment with business goals and customer requirements.</li><li>Coordinate cross-functional teams to successfully execute new product launches, process improvements, and customer-driven initiatives.</li><li>Develop program plans, timelines, milestones, and performance metrics to monitor progress and measure success.</li><li>Partner with sales leadership and stakeholders to evaluate program effectiveness and identify opportunities for optimization.</li><li>Manage project activities from initiation through completion while ensuring adherence to schedules and objectives.</li><li>Provide regular updates on program status, potential risks, resource needs, and mitigation strategies.</li><li>Maintain accurate project documentation, reporting, and communication plans.</li><li>Collaborate with operations, customer service, and commercial teams to resolve customer concerns and support ongoing business needs.</li><li>Facilitate planning and forecasting discussions with internal stakeholders, including sales, operations, and supply chain teams.</li><li>Identify process improvement opportunities and implement best practices to increase efficiency and program performance.</li></ul>
  • 2026-10-14T00:00:00Z
Program Manager
  • New York, NY
  • onsite
  • Temporary / Contract
  • 50 - 70 USD / Hourly
  • We are looking for a Program Manager to lead finance data initiatives for a Financial Services organization in New York, New York. This Long-term Contract position will guide work from early problem identification through clearly defined, engineering-ready requirements while partnering with cross-functional teams to keep priorities aligned. The role calls for strong communication, product thinking, and hands-on analytical ability to turn complex business needs into practical delivery plans.<br><br>Responsibilities:<br>• Lead the full lifecycle of finance data programs, shaping work from initial business challenge through finalized specifications ready for engineering execution.<br>• Build and maintain a clear, current roadmap for finance data priorities so stakeholders can easily understand timelines, dependencies, and delivery goals.<br>• Partner with teams across finance, data governance, and business systems to establish effective communication paths and sustain alignment on scope and outcomes.<br>• Work closely with related product and project teams to manage cross-functional dependencies, reduce delivery risk, and support timely execution.<br>• Run working sessions that bring the right teams together, document key decisions and open issues, and drive next steps toward resolution.<br>• Provide concise updates, recommendations, and roadmap insights to senior finance leadership to support informed decision-making.<br>• Create practical prototypes using Excel, Python, SQL, and AI-enabled tools to clarify ambiguous needs and translate them into build-ready solutions.<br>• Monitor program risks and obstacles proactively, recommending mitigation strategies that help keep deliverables on track.
  • 2026-10-19T00:00:00Z