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.
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.
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.
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.
We are looking for a detail-oriented Financial Data Analyst to join a financial services team in New Jersey. This Long-term Contract opportunity is well suited for an early-career candidate or entry-level applicant who is eager to build hands-on experience in financial analysis, data review, and market-focused research. The role calls for strong Excel capabilities, comfort working with financial applications, and the ability to evaluate complex or unstructured information with accuracy and sound judgment.<br><br>Responsibilities:<br>• Review financial data sets and perform analysis to identify trends, inconsistencies, and meaningful business insights.<br>• Organize, validate, and enter numeric information with a high degree of accuracy across financial records and reporting tools.<br>• Examine unstructured written content and convert key details into clear, usable data for analysis and reporting purposes.<br>• Support market-focused research by gathering relevant information and summarizing findings for internal stakeholders.<br>• Build and maintain spreadsheets, models, and reports using advanced Microsoft Excel functions and features.<br>• Work across multiple financial systems and software platforms to compile data and help ensure reporting consistency.<br>• Assist with routine financial reporting activities by preparing summaries, reconciling figures, and checking data quality.<br>• Collaborate with team members to address data-related questions and contribute to process improvements within analytical workflows.
<p>We are looking for an IT Field Technician to support device rollout across multiple locations in the Greater Philadelphia Region. This role focuses on preparing, configuring, and distributing a range of hardware while helping maintain a smooth deployment experience across the organization. The ideal candidate is comfortable working with multiple operating environments, providing clear progress updates, and resolving technical issues tied to network devices and PCs. </p><p>Responsibilities:</p><p>• Configure, stage, and deploy security systems, network devices and laptops</p><p>• Perform device imaging, software installation, and account setup to ensure equipment is ready for immediate business use.</p><p>• Coordinate with internal teams to manage user provisioning and access through Active Directory.</p><p>• Install and validate required business and medical software on assigned devices, confirming proper functionality before release.</p><p>• Track deployment progress and communicate timely status updates to stakeholders, team members, and project leads.</p><p>• Use established deployment tools to streamline setup, configuration, and asset readiness processes.</p><p>• Document deployment activities, issue resolutions, and inventory details to maintain accurate project records.</p>
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.
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.
<p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>Available on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Philadelphia, PA Hybrid, 4x Onsite</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
We are looking for an experienced Manager, Data Governance to lead enterprise data governance efforts for a higher education organization in Philadelphia, Pennsylvania. This role will shape the framework, policies, and operating model that improve data quality, accountability, and compliance across departments. The ideal candidate brings deep experience guiding governance programs in complex environments and can connect technical data issues to practical institutional impact.<br><br>Responsibilities:<br>• Create and maintain enterprise data governance standards, policy documentation, and operating procedures that support consistent data practices across the organization.<br>• Partner with data stewards and business stakeholders to roll out governance processes covering metadata, cataloging, data quality, privacy, and policy adoption.<br>• Work closely with technology teams to evaluate, implement, and optimize governance platforms and supporting data management tools.<br>• Review datasets and data definitions to detect quality concerns, resolve inconsistencies, and strengthen trust in institutional information.<br>• Build governance structures and decision-making forums that address cross-functional dependencies, escalate issues, and reinforce compliance expectations.<br>• Lead governance councils, working groups, and project teams to coordinate initiatives, assign ownership, and drive alignment on shared data priorities.<br>• Develop and execute short- and long-range data governance plans that support organizational goals and sustainable program maturity.<br>• Monitor adherence to governance policies and promote the accuracy, completeness, and consistency of data assets throughout the enterprise.