Add your latest resume to match with open positions.

17 results for Data Engineer in Allentown, PA

Data Engineer

West Chester, PA
onsite
Permanent / Full Time
125000 - 135000 USD / Yearly
We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies. Responsibilities: • Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making. • Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL. • Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems. • Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs. • Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency. • Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions. • Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption. • Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
2026-04-22T00:00:00Z

Data Engineer

Camden, NJ
onsite
Permanent / Full Time
90000 - 130000 USD / Yearly
We are looking for a Data Engineer to join a team focused on building reliable, scalable data solutions. In this role, you will create and enhance cloud-based data pipelines, organize data for analytics, and help ensure that business teams have access to trusted information. This position also partners closely with technical and non-technical stakeholders to turn reporting and data needs into practical engineering outcomes. Responsibilities:• Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark.• Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources.• Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability.• Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting.• Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards.• Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs.• Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies.• Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices.• Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes.• Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery.
2026-04-30T00:00:00Z

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. Responsibilities: • Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems. • Develop and implement fraud detection models using advanced analytics tools and techniques. • Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions. • Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively. • Generate comprehensive reports and dashboards to present findings and support decision-making. • Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols. • Optimize data workflows and processes to enhance efficiency and accuracy. • Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis. • Provide recommendations to improve system integrity and prevent future fraudulent activities.
2026-04-30T00:00:00Z

Data Warehouse Analyst

Princeton, NJ
onsite
Permanent / Full Time
70000 - 80000 USD / Yearly
We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions. Responsibilities:• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.• Automate reporting processes to improve accuracy and timeliness of operational data.• Continuously enhance data integrity and streamline workflows to optimize logistics operations.• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.• Investigate and implement tools and techniques to improve overall business intelligence capabilities.
2026-04-30T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
remote
Temporary / Contract
50 - 55 USD / Hourly
Data Scientist (Big Data) III – ContractorEmployment Type: 27 Week Contract, Potential for Extension or ConversionLocation: MUST CURRENTLY RESIDE in Philadelphia RegionEmployment Type: Contract / TemporaryPay: Available on W2 Position OverviewThe Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.Key Responsibilities<ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
2026-05-15T00:00:00Z

Data Analytics Consultant

Wyomissing, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analytics Consultant to lead the design and delivery of modern data engineering and business intelligence solutions for client engagements in Pennsylvania. This Long-term Contract position is ideal for a client-facing consultant who can combine technical architecture expertise with strong communication and consulting skills to guide data strategy, platform design, and analytics adoption. The role will partner with stakeholders across business and technical teams to create scalable data environments, translate complex requirements into practical solutions, and support the continued advancement of enterprise analytics capabilities. Responsibilities: • Act as a trusted advisor to clients by evaluating technical options and recommending data and analytics solutions aligned with business goals. • Architect, build, and launch scalable data platforms across cloud and on-premises environments using modern engineering and business intelligence technologies. • Lead discovery meetings, stakeholder workshops, and solution presentations to uncover needs and define effective analytics strategies. • Establish frameworks for data ingestion, transformation, storage, governance, and reporting to support reliable decision-making. • Develop implementation roadmaps and delivery plans for data initiatives, ensuring technical solutions support long-term business priorities. • Assess current data ecosystems, identify improvement opportunities, and produce clear architectural documentation and technical recommendations. • Engage with audiences ranging from executive leadership to delivery teams to explain solution choices, tradeoffs, and expected business impact. • Contribute across multiple phases of delivery, including consulting, architecture, hands-on development, and pre-sales support when needed. • Provide deep technical expertise in analytics, data integration, visualization, and modern lakehouse or warehouse design, including security considerations such as row-level access. • Use tools such as Microsoft Fabric, Azure, Python, Spark, Hadoop, Kafka, SQL, and ETL frameworks to build high-quality analytics and data processing solutions.
2026-05-14T00:00:00Z

Data Analytics Consultant

Wyomissing, PA
remote
Permanent / Full Time
120000 - 160000 USD / Yearly
We are looking for a Data Analytics Consultant to help organizations shape and deliver modern data solutions that turn complex information into actionable business insight. This role partners with stakeholders across technical and executive teams to define data strategies, recommend scalable platforms, and guide implementation across cloud-based environments. Based in Wyomissing, Pennsylvania, the position combines advisory expertise with hands-on architecture and analytics leadership to support impactful client outcomes. Responsibilities: • Partner with clients as a technical advisor, helping them evaluate options and make informed decisions on analytics and data platform solutions. • Architect and deliver data environments across public and private cloud ecosystems, ensuring solutions are scalable, secure, and aligned with business goals. • Lead discussions on data governance, quality standards, architecture direction, and long-term analytics strategy for client organizations. • Facilitate discovery meetings, workshops, and executive presentations to gather requirements and translate business needs into practical technical plans. • Explain emerging data technologies and analytics capabilities in a way that highlights measurable value for both business and technical audiences. • Establish effective approaches for collecting, storing, transforming, and analyzing data to support reporting, operational insight, and decision-making. • Create implementation roadmaps and phased delivery plans for analytics initiatives, including assessments of current-state environments and future-state architecture. • Review existing data solutions, identify improvement opportunities, and produce clear documentation that supports design decisions and project execution. • Collaborate with stakeholders ranging from senior executives to engineering teams while contributing across multiple phases of the project lifecycle, including pre-sales support. • Apply analytics expertise to use cases involving risk monitoring, fraud-related analysis, and investigative data interpretation where business needs require it.
2026-05-15T00:00:00Z

Financial Data Analyst

Trenton, NJ
remote
Temporary / Contract
17 - 18 USD / Hourly
We are looking for a Financial Data Analyst to support analytical and reporting activities in New Jersey. This long-term contract position is well suited for an entry-level candidate or early-career individual who brings strong Excel capabilities, a solid understanding of market concepts, and a sharp eye for interpreting complex financial information. The role offers the opportunity to work with financial data, evaluate text-based content, and contribute to accurate analysis across multiple systems and tools. Responsibilities:• Analyze financial datasets to identify patterns, inconsistencies, and meaningful insights that support business decisions• Review and interpret unstructured financial text and convert key details into organized, usable information• Prepare spreadsheets, summaries, and recurring reports using advanced Microsoft Excel functions and formulas• Enter, validate, and maintain numeric financial information with a high level of accuracy and attention to detail• Work across various financial software platforms to gather data, update records, and support analysis requests• Assist with market-related research by monitoring financial information and compiling findings for internal stakeholders
2026-04-29T00:00:00Z

Integration Engineer

Whitehouse Station, NJ
onsite
Temporary / Contract
62 - 65 USD / Hourly
We are seeking an Integration Engineer to provide technical leadership across the end-to-end development and delivery of new insurance products and capabilities, enabling new business opportunities and operational efficiencies. This role will lead the design, development, and integration of underwriting frameworks and platforms across multiple lines of business using Agile and DevOps methodologies.This position requires hands-on development experience, deep integration expertise, and the ability to technically lead globally distributed teams to deliver scalable, secure, and high-quality cloud-native platforms and services aligned with business priorities. Key Responsibilities:· Provide hands-on technical leadership for application design, development, and integration of secure and scalable solutions.· Lead end-to-end development, implementation, and integration of new insurance products and packages using underwriting frameworks.· Design and implement platforms enabling continuous delivery of features and capabilities aligned with business priorities.· Partner closely with Product Managers/Owners, Business Analysts, Developers, and enterprise teams to define optimal technical solutions.· Lead high-level design efforts, perform code reviews, and guide implementation by development teams.· Develop select modules while reviewing and mentoring other engineers’ code.· Mentor and coach junior engineers across multiple Scrum teams.· Leverage an Agile-based operating model across distributed teams.· Prepare technical documentation and deliver sprint and system demonstrations.· Manage production workloads and act as an SME for Level 3 production support issues.· Perform complex troubleshooting, root cause analysis, and resolution of critical production defects.· Communicate status, risks, and dependencies in accordance with agreed communication plans.
2026-05-14T00:00:00Z

IT Manager, Data Management

Fairless Hills, PA
onsite
Permanent / Full Time
120000 - 190000 USD / Yearly
We are looking for an experienced IT Manager, Data Management to lead the company’s enterprise data strategy in Fairless Hills, Pennsylvania. This role will shape governance practices, reporting standards, and scalable data solutions that improve decision-making across operational and financial functions. The ideal candidate brings strong leadership, deep technical knowledge in data architecture and analytics, and the ability to turn complex information into practical business value. Responsibilities: • Create and refine enterprise-wide policies that govern data quality, stewardship, and usage across business systems. • Direct the design of data architecture standards for the organization’s data lake and ensure scalable, reliable information flow between platforms. • Oversee initiatives that improve data consistency, master data alignment, and integration across operational, dispatch, and enterprise applications. • Lead the development of data pipelines, transformation processes, and structured models that support analytics, forecasting, and financial reporting. • Guide the organization’s reporting and business intelligence roadmap, including executive dashboards, scorecards, and standardized performance metrics. • Expand access to trusted insights by introducing appropriate self-service reporting capabilities for business users. • Partner with technology and project leadership to identify automation opportunities and deliver advanced analytics solutions. • Collaborate on future AI initiatives by evaluating predictive use cases, supporting model deployment, and measuring business impact from data-driven products. • Manage, coach, and develop team members while building a scalable data organization aligned with company growth objectives.
2026-04-29T00:00:00Z

Business Analyst

Lyon Station, PA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
The ERP Business Analyst serves as the primary liaison between business stakeholders and ERP delivery teams, specializing in a specific functional area of the business (e.g. Accounting & Finance, Supply Chain, Manufacturing, etc). This role bridges business needs and ERP system capabilities, translating complex requirements into scalable, value driven solutions. The analyst plays a key role in Company's SAP S4Hana implementations, enhancements, and ongoing optimization, ensuring alignment with business processes, enterprise standards, and strategic objectives. Business Analysis & Process Design• Partner with business leaders, business process leads and subject matter experts within the assigned domain to understand solution objectives, challenges, and regulatory/operational constraints.• Elicit, analyze and document business requirements using interviews, workshops, and process reviews.• Develop current state and future state, user stories, process maps, functional requirements, and business rules.• Identify opportunities to standardize, streamline, and optimize business processes / workflows using ERP best practices in a regulated manufacturing environment. ERP & SAP Functional Expertise• Serve as the ERP functional expert for the assigned business domain, with strong working knowledge of SAP solutions relevant to that area.• Translate business requirements into detailed functional specifications for SAP configuration, enhancements, and integrations.• Collaborate with SAP configuration, development, integration, OCM and data teams to design end to end solutions.• Advise stakeholders on SAP capabilities, limitations, design alternatives, and impacts to upstream, downstream and cross stream processes. Project Delivery & Implementation Support• Serve as a functional advisor on designs for Company's initial SAP S4H implementation.• Support ERP initiatives across the full lifecycle: planning, design, build, test, training and deployment.• Lead or support system integration testing (SIT) and user acceptance testing (UAT), including test case development, execution, and defect resolution.
2026-04-22T00:00:00Z

Business Analyst

Princeton, NJ
onsite
Permanent / Full Time
80000 - 130000 USD / Yearly
We are seeking an experienced Business Analyst with a strong background in the Property & Casualty Insurance industry to support complex technology initiatives. This role will partner with business stakeholders, technical teams, and third-party vendors to gather, analyze, and document functional requirements for underwriting, claims, and data-focused projects.The ideal candidate brings deep knowledge of the P&C insurance domain, particularly underwriting operations and policy administration, along with strong technical analysis skills and the ability to translate business needs into clear requirements.Key Responsibilities:<ul><li>Gather, analyze, and document business and functional requirements for complex IT projects.</li><li>Work closely with business users, developers, architects, QA teams, infrastructure teams, and software vendors to ensure requirements are clearly defined and delivered on time.</li><li>Support initiatives related to underwriting, claims applications, data integration, and data quality.</li><li>Translate business processes and needs into detailed functional specifications, workflows, and use cases.</li><li>Partner with stakeholders to improve system functionality and support business objectives across the insurance policy lifecycle.</li><li>Assist with requirements validation, testing support, and issue resolution throughout the project lifecycle.</li><li>Identify opportunities where technology can improve operational efficiency and business outcomes.</li></ul>
2026-04-30T00:00:00Z

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. Responsibilities: • Manage and support Cisco-based network infrastructure, ensuring stable connectivity and consistent performance across the environment. • Configure, maintain, and troubleshoot Palo Alto and Cisco ASA firewalls to uphold security standards and control network access. • Administer routing protocols, including BGP, to maintain efficient traffic flow and dependable external connectivity. • Investigate network incidents, identify root causes, and implement corrective actions to minimize downtime and recurring issues. • Collaborate with cross-functional teams to plan, test, and deploy network changes that improve availability and operational efficiency. • Monitor network health, analyze performance trends, and recommend enhancements to strengthen resilience and capacity. • Support load balancing and application delivery technologies, including F5 and Citrix, to help maintain dependable access to business systems. • Create and maintain clear technical documentation for configurations, procedures, and support activities.
2026-04-30T00:00:00Z

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. 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.
2026-04-21T00:00:00Z

Cyber Security Engineer

Wayne, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled and dedicated Cyber Security Engineer to join our team in Chesterbrook, Pennsylvania. This contract-to-permanent position involves overseeing information security governance, managing vendor relationships, and mitigating risks to ensure a secure and compliant environment. The ideal candidate will bring hands-on expertise in security practices, coupled with strong analytical and communication skills, to drive the implementation of robust security programs. Responsibilities: • Act as the primary liaison with offshore teams to ensure compliance with organizational security policies and standards. • Monitor vendor performance against service level agreements and identify areas for improvement. • Develop and enforce governance practices to align operations with security and compliance requirements. • Collaborate with business units to ensure security measures are integrated into vendor projects. • Conduct assessments to evaluate supplier compliance with confidentiality, integrity, and availability standards. • Provide expert advice on information security, analyzing vulnerabilities and recommending remediation strategies. • Draft and maintain organizational security policies and procedures, ensuring adherence to compliance standards. • Prepare detailed reports on security governance and vulnerabilities for stakeholders and leadership teams. • Facilitate regular risk assessments and vulnerability scans, ensuring timely resolution of findings. • Support special projects and contribute to the continuous improvement of security practices.
2026-05-11T00:00:00Z

Machine Learning Engineer II (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
64 - 71.85 USD / Hourly
Job SummaryWe are seeking a Machine Learning Engineer to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions. Key Responsibilities<ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul>
2026-04-16T00:00:00Z

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>
2026-04-29T00:00:00Z