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11 results for Data Engineer in Mount Laurel, NJ

Data Engineer
  • Norristown, PA
  • onsite
  • Permanent / Full Time
  • 140000 - 150000 USD / Yearly
  • We are looking for a Data Engineer to drive the design and delivery of scalable data solutions that support critical business objectives within the oil and gas sector. This position is based in King of Prussia, Pennsylvania, and combines technical execution with leadership responsibilities, including guiding a small team and shaping engineering best practices. The ideal candidate brings strong expertise in modern data platforms, builds dependable pipelines and models, and works comfortably across complex source systems to produce high-quality data assets.<br><br>Responsibilities:<br>• Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making.<br>• Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities.<br>• Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems.<br>• Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability.<br>• Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives.<br>• Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans.<br>• Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle.<br>• Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
  • 2026-07-17T00:00:00Z
Data Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 62 - 70 USD / Hourly
  • <p><strong>Data Engineer</strong></p><p><strong>Location: <u>100% REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PA</u></strong></p><p><strong>Duration: Through 12/31/2026, extensions likely</strong></p><p><br></p><p>This is a senior-level Data Engineer opportunity supporting enterprise modernization and cloud migration initiatives within a large-scale Agile environment. The role focuses on designing and building modern data pipelines, enhancing legacy data platforms, and developing scalable data assets that support analytics and reporting. The ideal candidate is a hands-on Data Engineer with deep expertise in Databricks, PySpark, Python, and AWS services, and experience working within cloud-based data ecosystems undergoing transformation.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable data engineering solutions using Databricks, Python, PySpark, and AWS.</li><li>Build, optimize, and support ETL processes and data pipelines for inventory, supply, and yield data initiatives.</li><li>Develop and maintain data assets that support enterprise analytics and Tableau reporting environments.</li><li>Support cloud migration and modernization efforts by transforming legacy data platforms into modern cloud-based solutions.</li><li>Enhance and maintain existing data engineering workflows while delivering new data pipeline capabilities.</li><li>Collaborate with cross-functional teams, including engineering, analytics, and business stakeholders, within an Agile Release Train (ART) environment.</li><li>Contribute to reducing technical debt through modernization of legacy data systems.</li><li>Implement scalable and reliable data processing solutions leveraging AWS services and cloud-native technologies.</li></ul><p><br></p>
  • 2026-07-31T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
  • 2026-07-16T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
  • 2026-07-30T00:00:00Z
Data Specialist
  • Old Bridge, NJ
  • onsite
  • Permanent / Full Time
  • 45000 - 55000 USD / Yearly
  • <p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
  • 2026-07-16T00:00:00Z
DevOps Engineer
  • Fort Washington, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for an experienced DevOps Engineer to support a high-impact legal technology initiative within the real estate and property industry in Fort Washington, Pennsylvania. This Long-term Contract position is ideal for someone who can strengthen and refine deployment practices in a complex, code-driven environment while balancing speed, stability, and security. The role requires a hands-on, detail-oriented individual who can improve release processes, support scalable delivery, and apply strong judgment when working with sensitive legal data.<br><br>Responsibilities:<br>• Lead the review, redesign, and optimization of existing DevOps workflows to improve reliability, efficiency, and release quality.<br>• Manage deployment activities for a growing greenfield environment, including planning and executing rollback strategies as user adoption expands.<br>• Oversee release coordination and delivery practices to ensure controlled, consistent movement of code across environments.<br>• Administer and enhance DevOps operations within a Copado governance framework focused on legal business systems.<br>• Partner with development teams to support code-intensive builds and align DevOps practices with application delivery needs.<br>• Contribute expertise in MuleSoft-related development environments to support integration-aware deployment and release planning.<br>• Apply strong security principles to protect sensitive legal information throughout build, deployment, and release processes.<br>• Use tools such as Azure DevOps, Salesforce DevOps, and Copado to strengthen automation, governance, and deployment execution.
  • 2026-07-30T00:00:00Z
Machine Learning Engineer I (Contractor)
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 46 - 51 USD / Hourly
  • <p><strong>Machine Learning Engineer I (Contractor)</strong></p><p><strong>Employment Type:</strong> Contract</p><p><strong>Location: </strong>Hybrid/Onsite, Philadelphia, Reston, or Irvine, CA </p><p><strong>Job Category:</strong> Data Engineering / Machine Learning</p><p><strong>Long Term Contract </strong></p><p><strong>Overview</strong></p><p>We are seeking a <strong>Machine Learning Engineer I</strong> to support the development of data-driven products and solutions. This role is ideal for an early-career engineer with experience working with large datasets, building data pipelines, and supporting machine learning initiatives. You will partner closely with Data Scientists and Research teams to prepare, process, and deliver high-quality data that powers machine learning models and advanced analytics solutions.</p><p>This position focuses heavily on <strong>data engineering and pipeline development</strong> in support of machine learning workflows. Candidates with strong Python and Apache Spark experience and a passion for working with data are encouraged to apply.</p><p><strong>Key Responsibilities</strong></p><ul><li>Build, maintain, and optimize data pipelines for machine learning and analytics applications.</li><li>Ingest, validate, cleanse, transform, and monitor large datasets used for model training and production systems.</li><li>Support the implementation, refinement, validation, and deployment of machine learning algorithms and models.</li><li>Collaborate with Data Scientists and researchers to prepare data for machine learning model training and evaluation.</li><li>Assist with proof-of-concept initiatives and contribute to future product and application development efforts.</li><li>Test, evaluate, and document solutions, including results, recommendations, and technical findings.</li><li>Create and maintain technical documentation, requirements, evaluation plans, and project-related reports.</li><li>Help monitor model performance and support production machine learning environments.</li></ul><p><br></p>
  • 2026-07-31T00:00:00Z
Systems Engineer
  • Bridgewater, NJ
  • onsite
  • Temporary / Contract
  • 38 - 44 USD / Hourly
  • We are looking for a Systems Engineer to support manufacturing technology and end-user computing in a pharmaceutical environment in Bridgewater, New Jersey. This Long-term Contract position focuses on maintaining reliable shop-floor systems, strengthening desktop support services, and helping teams adopt compliant, efficient IT solutions. The role works closely with cross-functional partners to improve operational performance, support serialization and traceability initiatives, and keep critical systems running smoothly.<br><br>Responsibilities:<br>• Support manufacturing IT applications and workstation environments used in daily shop-floor operations, ensuring dependable system performance and timely issue resolution.<br>• Provide hands-on desktop support by installing, configuring, troubleshooting, and repairing hardware, software, and peripheral devices with minimal disruption to production activities.<br>• Help manage serialization and track-and-trace solutions by supporting compliance with global standards such as GS1 and applicable pharmaceutical supply chain regulations.<br>• Assist with the integration of serialization platforms and plant systems with enterprise applications, manufacturing systems, barcode tools, and scanning technologies.<br>• Contribute to data exchange and connectivity efforts across platforms using established integration methods such as EDI, AS2, and related interface technologies.<br>• Develop reports, queries, dashboards, and analytics to improve visibility into serialization, operational, and system performance data.<br>• Apply automation and monitoring tools to enhance manufacturing efficiency, support predictive maintenance efforts, and strengthen process oversight.<br>• Create user guidance materials and deliver training to employees so they can effectively use supported systems and follow established IT practices.<br>• Partner with business and technical stakeholders to identify improvement opportunities, document support needs, and implement practical technology enhancements.
  • 2026-07-21T00:00:00Z
Business Analyst
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a detail-oriented Business Analyst to support contract operations in Philadelphia, Pennsylvania. This Long-term Contract position focuses on translating business needs into reliable system processes, maintaining high standards for testing and documentation, and helping users work effectively within the platform. The role will partner across operations, legal support, and IT to promote accurate data, controlled change management, and dependable reporting.<br><br>Responsibilities:<br>• Lead recurring agreement and data transfer activities from legacy tools into the current platform, validating completeness and resolving discrepancies.<br>• Produce and maintain operational reports that align with stakeholder needs and provide actionable insight into contract performance and workflow trends.<br>• Plan and execute system validation efforts for updates, enhancements, and releases, recording outcomes and following through on issue resolution.<br>• Manage key configuration record content for contract templates, ensuring required attributes, document details, and conditional logic remain accurate and up to date.<br>• Work closely with operational legal support partners to preserve consistency, version control, and governance standards across maintained records.<br>• Coordinate Class I change requests from initial documentation through approval and implementation, confirming updates are reflected correctly in system settings and records.<br>• Assist with preparation of test plans for larger release efforts, helping define scenarios and expected outcomes for major changes.<br>• Monitor the user support channel, respond to reported issues, and escalate technical matters to the appropriate support teams when needed.<br>• Support database administration activities and partner with IT on user access, provisioning, deprovisioning, and role-based permissions within the platform.<br>• Create user guidance and deliver training sessions for new and existing team members as system functionality evolves.
  • 2026-07-16T00:00:00Z
Network Engineer
  • Philadelphia, PA
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a Network Engineer to support and enhance enterprise network operations in Pennsylvania. This contract-to-permanent opportunity is ideal for a hands-on, detail-oriented individual who can maintain secure, high-performing connectivity across complex environments while partnering with technical teams to resolve infrastructure challenges. The role focuses on routing, firewall administration, and network optimization, with an emphasis on reliability, security, and scalable design.<br><br>Responsibilities:<br>• Manage and support Cisco-based network infrastructure, ensuring stable connectivity and consistent performance across the environment.<br>• Configure, maintain, and troubleshoot Palo Alto and Cisco ASA firewalls to uphold security standards and control network access.<br>• Administer routing protocols, including BGP, to maintain efficient traffic flow and dependable external connectivity.<br>• Investigate network incidents, identify root causes, and implement corrective actions to minimize downtime and recurring issues.<br>• Collaborate with cross-functional teams to plan, test, and deploy network changes that improve availability and operational efficiency.<br>• Monitor network health, analyze performance trends, and recommend enhancements to strengthen resilience and capacity.<br>• Support load balancing and application delivery technologies, including F5 and Citrix, to help maintain dependable access to business systems.<br>• Create and maintain clear technical documentation for configurations, procedures, and support activities.
  • 2026-07-30T00:00:00Z
DevOps Engineering Manager
  • Fort Washington, PA
  • remote
  • Permanent / Full Time
  • 170000 - 190000 USD / Yearly
  • We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
  • 2026-07-09T00:00:00Z