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20 results for Data Engineer Iv in Philadelphia, PA

Data Engineer IV

Philadelphia, PA
onsite
Temporary / Contract
55 - 65 USD / Hourly
Senior Data EngineerLocation: Philadelphia, PA (Hybrid/Onsite as required)Employment Type: 39 Week Contract, Potential for ExtensionPosition OverviewWe are seeking an experienced Data Engineer to support the development and ongoing operation of a large-scale, cloud-based IoT platform. This role focuses on building and supporting scalable, secure, and high‑performance infrastructure, tooling, and frameworks that enable engineering teams to efficiently develop, test, deploy, and operate modern microservices.The ideal candidate brings strong cloud engineering experience, a passion for quality and security, and the ability to collaborate in a fast‑paced Agile environment.Key Responsibilities<ul><li>Develop, operate, and support DevOps and platform engineering tools that enable cloud-based IoT services</li><li>Build and promote horizontal tools, frameworks, and best practices supporting microservices, CI/CD, security, monitoring, and performance</li><li>Collaborate with engineering teams to define development standards, workflows, and methodologies</li><li>Design and implement shared libraries and frameworks to support scalable and highly available systems</li><li>Support production platform operations, troubleshooting, and continuous improvement with focus on quality, performance, and security</li><li>Translate system architecture and product requirements into well-designed, tested software solutions</li><li>Work in an Agile environment delivering incremental, high-quality software</li><li>Provide technical guidance and promote modern engineering practices across teams</li></ul>
2026-04-23T00:00:00Z

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 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>
2026-04-20T00:00:00Z

Data Analyst

Lyon Station, PA
onsite
Temporary / Contract
23.75 - 30 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques. Responsibilities:• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.• Perform accurate data entry tasks, ensuring the integrity of numeric information.• Develop and maintain Excel formulas to streamline data processing and reporting.• Generate detailed reports and dashboards tailored to organizational needs.• Collaborate with cross-functional teams to understand data requirements and provide solutions.• Ensure data accuracy and troubleshoot discrepancies in large datasets.• Provide actionable recommendations based on findings from data analysis.• Manage and organize datasets for easy retrieval and future use.• Monitor data workflows and suggest improvements to enhance efficiency.• Maintain confidentiality and security of sensitive information.If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com
2026-04-28T00:00:00Z

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 Analyst

Philadelphia, PA
onsite
Temporary to Hire
20 - 23 USD / Hourly
Robert Half is seeking a meticulous a Data Analyst to support equipment finance activities for a contract opportunity with permanent potential based in Philadelphia, Pennsylvania. This Data Analyst role centers on reviewing business and account information, confirming data accuracy across financial platforms, and helping maintain dependable records for reporting and operational use. The ideal Data Analyst candidate is highly detail-oriented, comfortable working with large datasets, and able to spot inconsistencies that could affect finance or fraud-related analysis. Click the apply button today and put your talents to the test. If you have any questions, please contact Robert Half at 215-568-4580 and mention job reference #03720-0013428417. As a Data Analyst Your Responsibilities will include but are not limited to:• Review account and company records across Salesforce and internal data sources to confirm completeness, accuracy, and proper classification. • Investigate discrepancies, missing details, and conflicting information, then update records or escalate issues for resolution. • Validate that organizations tied to accounts are legitimate equipment-selling businesses and flag records that appear questionable. • Perform structured data quality checks that strengthen reporting reliability for operations and finance stakeholders. • Partner with cross-functional teams to clarify record issues, support accurate financial information, and improve overall data confidence. • Document findings, corrections, and recurring data issues to support audit readiness and process refinement. • Use Excel and other data tools to analyze record sets, identify patterns, and support efficient validation work. • Contribute to fraud-aware data review efforts by recognizing suspicious inconsistencies and escalating potential risk indicators when necessary.
2026-04-29T00:00:00Z

Data Reporting Analyst

Robbinsville, NJ
onsite
Temporary / Contract
23.75 - 27.5 USD / Hourly
Data Reporting AnalystWe are seeking a Data Reporting Analyst to support business reporting and data visualization initiatives. This role will focus on building and maintaining dashboards that provide insight into operational performance, SLAs, and KPIs. The position is an ongoing contract with potential for conversion and follows a hybrid work schedule.Responsibilities<ul><li>Design, develop, and maintain Power BI dashboards to support business and IT reporting needs</li><li>Analyze and interpret data to track SLAs, KPIs, and operational performance</li><li>Partner closely with the IT Director to review trends, metrics, and reporting requirements</li><li>Ensure data accuracy, consistency, and usability across reports and dashboards</li><li>Support ongoing reporting enhancements and ad-hoc data analysis requests</li></ul>
2026-04-20T00:00:00Z

AWS Big Data Architect (with Hadoop) IV (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
74 - 79 USD / Hourly
AWS Big Data Architect (with Hadoop) Location: Hybrid 4x Onsite – Philadelphia, PAContract Duration: Through December 31, 2026Employment Type: W2 ContractOverviewWe are seeking a highly skilled AWS Big Data Architect / Senior Data Engineer to design, develop, and deliver scalable Big Data Warehouse solutions. This is a hands-on role suited for someone who is passionate about technology, thrives in a collaborative environment, and can work effectively with both technical and non-technical stakeholders. The ideal candidate excels in fast-paced settings and is committed to producing high-quality, impactful results.This role offers the opportunity to collaborate with engineering teams across the enterprise and influence broader data and technology strategies.Key Responsibilities<ul><li>Design and develop scalable Big Data Warehouse solutions across the full data supply chain.</li><li>Build and implement metadata management solutions.</li><li>Create and maintain technical documentation, user documentation, data models, data dictionaries, glossaries, process flows, and architecture diagrams.</li><li>Enhance and expand the enterprise Data Lake environment.</li><li>Solve complex data integration challenges across multiple systems.</li><li>Design and execute strategies for real-time data analysis and decision-making.</li><li>Collaborate with business partners, analysts, developers, architects, and engineers to support ongoing data quality initiatives.</li><li>Work closely with Data Science teams to improve actionable insights.</li><li>Continuously expand knowledge of new tools, platforms, and technologies.</li></ul>
2026-04-16T00:00:00Z

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

Software Developer III

Philadelphia, PA
onsite
Temporary / Contract
59 - 64 USD / Hourly
Senior Software Engineer, Backend (Python / Cloud Security Platforms)Location: Philadelphia, PAWork Arrangement: Hybrid – 2-4 days per week onsiteSchedule: Standard business hours Key ResponsibilitiesBackend Engineering & Platform Development<ul><li>Design, build, and maintain backend services and data pipelines that ingest, normalize, and analyze large volumes of cloud and security data.</li><li>Write production‑quality Python code using established architectural patterns, testing practices, and documentation standards.</li><li>Design and own medium‑complexity systems, including data models, API contracts, orchestration logic, and integrations.</li></ul>AI‑Augmented Development<ul><li>Leverage AI coding agents daily to accelerate development while maintaining code quality and architectural consistency.</li><li>Craft structured prompts aligned with project conventions and critically evaluate AI‑generated output for correctness, security, and maintainability.</li><li>Apply judgment to determine when to hand‑code versus delegate tasks to AI agents.</li></ul>Cloud, Infrastructure & Reliability<ul><li>Build and maintain services running on AWS, including containerized workloads and supporting cloud services.</li><li>Implement resilient, long‑running processes with robust retry logic, progress tracking, and failure handling.</li><li>Contribute to Infrastructure as Code and CI/CD pipelines supporting multi‑environment deployments and security scanning.</li></ul>Collaboration, Quality & Operations<ul><li>Conduct thorough code reviews evaluating design intent, correctness, security, and long‑term sustainability.</li><li>Collaborate closely with security analysts, platform teams, and leadership to refine requirements and technical solutions.</li><li>Participate in support rotations, monitor service health, and respond to operational issues.</li><li>Maintain documentation, runbooks, and architectural decision records.</li></ul>
2026-04-08T00:00:00Z

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>
2026-04-23T00:00:00Z

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>
2026-04-23T00:00:00Z

Data Specialist

Matawan, NJ
onsite
Temporary to Hire
23 - 25 USD / Hourly
We are looking for a detail-oriented Data Specialist to join a retail food organization in Matawan, New Jersey on a contract basis with the potential for a permanent role. This position supports the accuracy, organization, and upkeep of critical business data while partnering with teams across the company to maintain reliable information and resolve discrepancies. The ideal candidate is analytical, highly organized, and comfortable balancing data administration, issue resolution, and cross-functional communication in a fast-paced office environment. Responsibilities: • Maintain accurate product, vendor, store, and employee records across internal databases and business systems. • Set up new item information for merchandising teams and update existing records to reflect current business needs. • Review promotional data and offers carefully, identifying inconsistencies and making corrections before release. • Examine data across multiple applications to verify completeness, consistency, and overall quality standards. • Investigate data-related issues, determine underlying causes, and coordinate fixes with internal stakeholders, including IT when needed. • Perform routine audits and monitor daily reports to detect errors, address exceptions, and support data governance practices. • Assist with system testing, validation activities, and the rollout of data updates to ensure dependable results. • Provide guidance to colleagues on data processes, explain how information flows through business operations, and support training material preparation.
2026-04-30T00:00:00Z

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>
2026-04-23T00:00:00Z

Business Analyst III

Philadelphia, PA
onsite
Temporary / Contract
40 - 45 USD / Hourly
We are looking for an experienced Business Analyst III (Contractor) to support cross-functional initiatives by connecting business objectives with effective technology solutions in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can evaluate operational needs, shape clear requirements, and guide collaboration between business stakeholders and IT teams. The role calls for strong analytical thinking, effective communication, and the ability to turn broad business goals into practical, well-defined outcomes. Responsibilities: • Partner with business stakeholders and technology teams to clarify objectives, identify needs, and align solution planning with operational priorities. • Examine current business processes to uncover inefficiencies, risks, and opportunities for improved automation and performance. • Produce clear business and functional documentation that translates stakeholder expectations into actionable guidance for technical teams. • Support process redesign efforts by mapping workflows, defining future-state approaches, and documenting recommended changes. • Facilitate discussions among business units and IT partners to build consensus, resolve issues, and maintain forward progress from requirements through delivery. • Manage updates to requirements and specifications as project needs evolve, ensuring documentation remains accurate and traceable. • Communicate business strategy, priorities, and operational context to technical teams so proposed solutions reflect organizational goals. • Assess available technology options and contribute informed recommendations, including input on whether solutions should be purchased or developed internally. • Assist with implementation activities by validating that delivered solutions meet agreed business needs and functional expectations.
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

Sr. Cloud Solutions DevOps Engineer

Fort Washington, PA
remote
Permanent / Full Time
135000 - 145000 USD / Yearly
We are seeking a highly experienced and strategic Senior Cloud Solutions DevOps Engineer/Architect to provide technical leadership across our AWS and Azure cloud platforms. In this pivotal role, you will architect, automate, and secure enterprise-level cloud infrastructure—driving best-in-class DevOps and operational practices for mission-critical SaaS applications. You’ll serve as the primary technical bridge between Software Development and SaaS Operations, ensuring end-to-end scalability, security, performance, and reliability.Key Responsibilities:Cloud Architecture & Engineering<ul><li>Architect and implement secure, scalable, and highly available cloud environments (AWS primary, Azure minimal)</li><li>Lead modernization initiatives leveraging cloud-native services</li><li>Design resilient, multi-region solutions aligned with SLA, RPO, RTO requirements</li><li>Establish and evolve cloud architecture standards and operational guardrails</li></ul>DevOps, CI/CD & Automation<ul><li>Design, implement, and enhance CI/CD pipelines using Git and GitLab</li><li>Lead Infrastructure-as-Code (IaC) at scale using Terraform</li><li>Automate provisioning, release orchestration, and environment management</li><li>Integrate DevSecOps practices, including automated testing and security scanning</li></ul>Advanced Networking & Connectivity<ul><li>Lead complex cloud networking, hybrid connectivity, and segmentation (VPC/VNET, VPN, Direct Connect, ExpressRoute)</li><li>Architect network security: firewalls, security groups, zero-trust models, secure ingress/egress, DDoS protection</li><li>Troubleshoot cross-cloud, cross-region, and hybrid environments</li></ul>Cross-Functional Partnership & Leadership<ul><li>Act as the technical liaison among Development, QA, Security, and SaaS Ops teams</li><li>Translate business and application requirements into secure, scalable cloud solutions</li><li>Mentor and coach DevOps, Cloud Engineers, and Reliability Engineers</li><li>Contribute to roadmap planning, tech evaluation, and architectural governance</li></ul>Security, Compliance & Reliability<ul><li>Champion security-by-design and zero-trust principles</li><li>Support compliance initiatives (SOC 2 Type II, HIPAA, HITRUST, ISO 27001, customer audits)</li><li>Oversee IAM, secrets management, encryption, and SIEM integration</li><li>Implement centralized logging, monitoring, and automated incident response</li></ul>Operational Excellence & Cost Governance<ul><li>Drive FinOps strategies including cloud cost optimization and chargeback</li><li>Develop and maintain operational runbooks, disaster recovery, and documentation</li><li>Lead root cause analyses and continuous improvement of delivery metrics</li></ul>
2026-04-17T00:00:00Z

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