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12 results for Data Engineer Iv in Philadelphia, PA

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. Responsibilities: • Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making. • Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities. • Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems. • Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability. • Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives. • Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans. • Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle. • Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
2026-07-17T00:00:00Z

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. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-06-25T00:00:00Z

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. Responsibilities: • Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement. • Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms. • Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions. • Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks. • Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting. • Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions. • Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies. • Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards. • Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
2026-07-16T00:00:00Z

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. Responsibilities: • Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk. • Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions. • Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts. • Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure. • Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources. • Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
2026-06-23T00:00:00Z

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. Responsibilities: • Lead the review, redesign, and optimization of existing DevOps workflows to improve reliability, efficiency, and release quality. • Manage deployment activities for a growing greenfield environment, including planning and executing rollback strategies as user adoption expands. • Oversee release coordination and delivery practices to ensure controlled, consistent movement of code across environments. • Administer and enhance DevOps operations within a Copado governance framework focused on legal business systems. • Partner with development teams to support code-intensive builds and align DevOps practices with application delivery needs. • Contribute expertise in MuleSoft-related development environments to support integration-aware deployment and release planning. • Apply strong security principles to protect sensitive legal information throughout build, deployment, and release processes. • Use tools such as Azure DevOps, Salesforce DevOps, and Copado to strengthen automation, governance, and deployment execution.
2026-07-16T00:00:00Z

DevOps Engineer

Princeton, NJ
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a DevOps Engineer to support the delivery, reliability, and security of mission-critical platforms in Princeton, New Jersey. This role focuses on building and sustaining containerized environments, improving deployment processes, and strengthening operational visibility across distributed systems. The ideal candidate brings strong infrastructure automation experience and can work effectively with engineering and support teams to maintain stable, scalable services. Responsibilities: • Design, implement, and maintain resilient container-based platforms using Kubernetes and OpenShift across cloud, data center, and edge environments. • Manage application deployment, configuration, patching, and ongoing lifecycle support for distributed systems operating in both connected and restricted networks. • Develop and optimize monitoring solutions with Prometheus and Grafana, including dashboards, alerts, and service health indicators that improve incident response. • Install and validate software releases in development and test environments, support regression testing, and coordinate production rollouts with minimal service disruption. • Build and scale containerized services with Docker and Kubernetes to support enterprise and edge-ready architectures. • Configure and support identity and access integrations with enterprise authentication platforms such as Microsoft Entra ID and related infrastructure services. • Investigate user-reported issues through ticketing workflows, document resolutions, and maintain operational runbooks and knowledge resources. • Partner with analysts, engineers, and technical stakeholders to convert operational needs into deployable solutions and feed production issues back into product improvements. • Apply DevSecOps practices including vulnerability remediation, image hardening, secrets handling, and support for secure compliance-oriented environments. • Participate in after-hours support and on-call rotations to address outages, performance issues, and other high-priority production events.
2026-06-25T00:00:00Z

Information Systems Engineer

Jamesburg, NJ
remote
Temporary to Hire
41.1635 - 47.663 USD / Hourly
Key Responsibilities • Provide Tier 1 and Tier 2 support for end users across voice, data, applications, and desktop systems • Troubleshoot and resolve hardware, software, and network-related issues both remotely and onsite • Support and administer Windows Server environments and Active Directory • Manage and maintain Microsoft 365 (O365) including Exchange, SharePoint, OneDrive, and MFA • Configure, deploy, and support Windows 10/11 workstations and peripherals • Support and troubleshoot LAN/WAN connectivity, VOIP systems, and network devices • Monitor and manage system backups, disaster recovery processes, and infrastructure performance • Lead and participate in IT projects, including site setups, upgrades, and deployments • Evaluate hardware/software needs and recommend solutions aligned with business requirements • Collaborate with vendors, procurement, and internal teams on technology solutions and services • Maintain accurate documentation of systems, processes, and infrastructure • Manage hardware/software inventory and ensure proper asset tracking • Provide technical guidance to team members and act as an escalation point when needed • Deliver regular updates on project status and system performance to leadership
2026-06-23T00:00:00Z

Data Specialist

Old Bridge, NJ
onsite
Permanent / Full Time
45000 - 55000 USD / Yearly
Benefits:<ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul>Responsibilities<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>
2026-07-16T00:00:00Z

Cloud Engineer

Woodbridge, NJ
remote
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for a Cloud Engineer to support cloud infrastructure initiatives within a Financial Services environment in Woodbridge, New Jersey. This Long-term Contract position focuses on building scalable, reliable AWS-based solutions while improving automation and operational efficiency. The ideal candidate will bring strong experience with infrastructure as code and cloud engineering best practices to help maintain secure, high-performing platforms. Responsibilities: • Design, build, and maintain cloud infrastructure solutions across AWS to support application performance, availability, and resilience. • Create and manage automated provisioning workflows using infrastructure as code tools to deliver consistent and repeatable deployments. • Develop and enhance Ansible-based automation for configuration management, environment setup, and operational tasks. • Implement and optimize Amazon EC2 environments and auto scaling configurations to align capacity with business demand. • Monitor cloud resources, identify opportunities for performance improvement, and recommend enhancements to reliability and cost efficiency. • Collaborate with engineering and support teams to troubleshoot infrastructure issues and resolve cloud-related incidents in a timely manner. • Apply cloud security and operational best practices to maintain stable, compliant, and well-governed AWS environments.
2026-07-16T00:00:00Z

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. Responsibilities: • Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations. • Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles. • Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities. • Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices. • Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams. • Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance. • Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences. • Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency. • Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization. • Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
2026-07-09T00:00:00Z

Machine Learning Consultant I (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: Available on W2 BasisConsultant I (Contractor)Work Location: Philadelphia, PA Hybrid, 4x OnsiteEngagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe 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.Key Responsibilities<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>
2026-07-13T00:00:00Z

Sr. Business Intelligence Architect

Philadelphia, PA
onsite
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for an experienced Sr. Business Intelligence Architect to shape and advance enterprise reporting and analytics capabilities for a higher education environment in Philadelphia, Pennsylvania. This role will guide the design of secure, scalable data solutions, partner closely with technical and business stakeholders, and help establish strong standards for business intelligence delivery. The ideal candidate brings deep expertise in Microsoft BI technologies, a strategic mindset for architecture, and a proven background leading business intelligence excellence across an organization. Responsibilities: • Architect enterprise-scale BI and analytics solutions using Microsoft Fabric technologies, including OneLake, Data Factory, Synapse, and Power BI. • Build, refine, and support data models, ingestion workflows, and semantic structures that enable reliable analysis and reporting. • Direct major data platform enhancement efforts, including initiatives involving modernization and migration to Microsoft Fabric. • Work closely with analysts, engineers, and business partners to convert reporting goals into practical data architecture designs. • Establish governance, design standards, and best practices to improve the quality, security, and scalability of BI solutions. • Lead and mentor business intelligence teams or center-of-excellence functions to strengthen delivery consistency and technical capability. • Develop reporting frameworks and dashboard strategies that provide stakeholders with clear, actionable insights. • Evaluate existing BI environments and recommend architectural improvements that increase performance and long-term maintainability.
2026-07-06T00:00:00Z