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20 results for Data Engineer in Princeton, NJ

Data Engineer
  • Newtown Square, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Data Engineer to join our team in Newtown Square, Pennsylvania. In this long-term contract position, you will play a pivotal role in designing and implementing robust data solutions to support organizational goals. This is an exciting opportunity to lead the development of modern data architectures and collaborate with diverse teams to drive impactful results.<br><br>Responsibilities:<br>• Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance.<br>• Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform.<br>• Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes.<br>• Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making.<br>• Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization.<br>• Ensure data quality and reliability, providing business users with a trustworthy platform.<br>• Document architectural designs, data workflows, and operational procedures to support sustainable data management.<br>• Coordinate with external vendors to meet project deadlines and ensure successful implementations.
  • 2026-04-06T00:00:00Z
Data Engineer
  • Wayne, PA
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania, on a contract to permanent basis. This role offers an exciting opportunity to design, implement, and optimize data pipelines while integrating applications with various digital marketplaces. The ideal candidate will bring strong technical expertise and a collaborative mindset to support business insights and analytics effectively.<br><br>Responsibilities:<br>• Develop and maintain data pipelines and ensure seamless application connectivity with digital marketplaces such as TikTok Shop, Shopify, and Amazon.<br>• Collaborate closely with business teams to understand requirements and provide actionable analytics.<br>• Lead the creation of scalable and efficient data solutions tailored to business needs.<br>• Apply expertise in Python, Snowflake, and other relevant technologies to deliver high-quality results.<br>• Facilitate and support integrations with e-commerce platforms, leveraging previous experience where applicable.<br>• Build robust APIs and ensure their effective implementation.<br>• Utilize Microsoft SQL for database management and optimization.<br>• Provide technical guidance and mentorship to ensure project success.<br>• Troubleshoot and resolve issues related to data workflows and integrations.<br>• Continuously evaluate and improve processes to enhance efficiency and performance.
  • 2026-04-21T00:00:00Z
Data Engineer IV
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 55 - 65 USD / Hourly
  • <p><strong>Senior Data Engineer</strong></p><p><strong>Location:</strong> Philadelphia, PA (Hybrid/Onsite as required)</p><p><strong>Employment Type: </strong>39 Week Contract, Potential for Extension</p><p><strong>Position Overview</strong></p><p>We are seeking an experienced <strong>Data Engineer</strong> 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.</p><p>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.</p><p><strong>Key Responsibilities</strong></p><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 Analyst
  • Avenel, NJ
  • onsite
  • Permanent / Full Time
  • 80000 - 85000 USD / Yearly
  • <p>We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.</p><p>• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.</p><p>• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.</p><p>• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.</p><p>• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.</p><p>• Conduct data quality assessments and establish validation protocols to ensure data reliability.</p><p>• Document data processes, methodologies, and technical specifications for future reference.</p><p>• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.</p>
  • 2026-04-07T00:00:00Z
Data Specialist
  • Old Bridge, NJ
  • onsite
  • Permanent / Full Time
  • 45000 - 55000 USD / Yearly
  • <p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
  • 2026-04-23T00:00:00Z
Data Specialist
  • Old Bridge, NJ
  • onsite
  • Permanent / Full Time
  • 45000 - 55000 USD / Yearly
  • <p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
  • 2026-04-23T00:00:00Z
Data Specialist
  • Old Bridge, NJ
  • onsite
  • Permanent / Full Time
  • 45000 - 55000 USD / Yearly
  • <p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p><br></p><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
  • 2026-04-23T00:00:00Z
Data Scientist (Big Data) III (Contractor)
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 50 - 55 USD / Hourly
  • <p><strong>Data Scientist (Big Data) III – Contractor</strong></p><p><strong>Employment Type:</strong> 27 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>MUST CURRENTLY RESIDE in Philadelphia Region</p><p><strong>Employment Type:</strong> Contract / Temporary</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>The 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.</p><p>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.</p><p><strong>Key Responsibilities</strong></p><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 Reporting Analyst
  • Robbinsville, NJ
  • onsite
  • Temporary / Contract
  • 23.75 - 27.5 USD / Hourly
  • <p><strong>Data Reporting Analyst</strong></p><p>We 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.</p><p><strong>Responsibilities</strong></p><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><p><br></p>
  • 2026-04-20T00:00:00Z
Machine Learning Engineer II
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 65 - 72 USD / Hourly
  • <p><strong>Machine Learning Engineer II </strong>(Contract)</p><p><strong>Location: </strong>Hybrid – Philadelphia, PA <strong>or </strong>Washington, DC | Onsite 3–4 days per week</p><p><strong>Assignment Length:</strong> 38 Weeks, Potential for Extension</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Research / Machine Learning Engineer II</strong> to support advanced AI/ML initiatives across large-scale consumer-facing platforms, including Search, Browse, Personalization, Campaign Management, and Voice/NLP technologies. This role is heavily focused on <strong>model validation, quality, and automation</strong>, with an emphasis on building and enhancing machine learning models that validate and support AI-driven tools developed by engineering teams.</p><p>The ideal candidate brings a strong quality mindset, hands-on experience with machine learning models, and a deep interest in testing and validating large language models (LLMs) and AI systems in production-like environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and enhance <strong>machine learning models primarily used for validation and quality assurance</strong> of AI/ML-driven tools.</li><li>Develop models that assist in testing, validating, and improving automation frameworks used by engineering and tooling teams.</li><li>Enhance and support existing AI/ML automation tools, including those working with <strong>speech and NLP data</strong>.</li><li>Implement <strong>prompt-based interactions with Large Language Models (LLMs)</strong> to support validation and test use cases.</li><li>Research, evaluate, and experiment with various ML models across multiple domains to determine best-fit solutions.</li><li>Contribute software development efforts toward <strong>proof-of-concept initiatives</strong> in AI/ML, NLP, and related strategic areas (e.g., Computer Vision where applicable).</li><li>Collaborate closely with cross-functional engineering, tooling, and SDET teams across multiple locations.</li><li>Support and mentor engineering teams by promoting modern software development, data practices, and quality-driven AI development.</li><li>Ensure AI/ML solutions meet expectations for <strong>performance, reliability, scalability, and product quality</strong>.</li></ul>
  • 2026-04-14T00:00:00Z
Head of Data Science & Analytics (DTC Exp Required)
  • Fort Lee, NJ
  • onsite
  • Permanent / Full Time
  • 200000 - 250000 USD / Yearly
  • <p>A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.</p><p><br></p><p><strong>Primary Responsibilities:</strong></p><ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul><p><br></p>
  • 2026-04-17T00:00:00Z
Salesforce - Data Reporting Analyst
  • Conshohocken, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Salesforce Data Reporting Analyst to join our team on a contract basis in West Conshohocken, Pennsylvania. In this role, you will transform sales performance data into actionable insights, enabling leadership to refine processes and achieve measurable results. This position requires expertise in data analysis, reporting, and visualization, with a strong focus on tools like Power BI, Excel, and Salesforce platforms.<br><br>Responsibilities:<br>• Evaluate and measure the success of sales-enabled programs, including campaigns, events, promotions, and onboarding initiatives.<br>• Develop and maintain measurement frameworks, scorecards, and dashboards to track program performance and identify improvement opportunities.<br>• Analyze customer and practitioner behaviors to uncover trends that drive conversion, retention, and engagement.<br>• Provide insights into optimizing sales and marketing processes, including segmentation, timing, and follow-up strategies.<br>• Create and manage dashboards and data models in Power BI, ensuring accurate and up-to-date reporting.<br>• Perform ad-hoc analyses using advanced Excel techniques, including PivotTables and Power Query, to address leadership inquiries.<br>• Design and deliver thorough and well-structured presentations in PowerPoint, effectively translating complex data into clear recommendations.<br>• Extract and interpret data from Salesforce, leveraging its reporting tools and analytics capabilities.<br>• Maintain consistent documentation of reporting logic and data definitions to ensure reliability and trust in the numbers.<br>• Manage multiple priorities efficiently while delivering high-quality results within deadlines.
  • 2026-04-16T00:00:00Z
Systems Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Systems Engineer to join our team in Philadelphia, Pennsylvania. In this role, you will leverage your expertise in system architecture and cloud technologies to design, implement, and maintain robust solutions that drive operational efficiency. This is a long-term contract position offering the opportunity to work in a dynamic healthcare environment.<br><br>Responsibilities:<br>• Manage and optimize Active Directory and Azure Active Directory environments to ensure seamless access and security.<br>• Configure and maintain Microsoft Windows Server systems to support business-critical applications.<br>• Implement and support Citrix technologies, enabling efficient virtualization and remote access solutions.<br>• Administer cloud platforms such as AWS to enhance scalability and infrastructure reliability.<br>• Oversee database management tasks for systems using MySQL, MariaDB, and PostgreSQL.<br>• Develop and deploy automation scripts using tools like Ansible, Bash, and Python to streamline processes.<br>• Utilize Docker and Kubernetes for containerization and orchestration of applications.<br>• Collaborate with cross-functional teams to integrate ServiceNow applications and support Agile workflows.<br>• Monitor and troubleshoot network load balancing to ensure optimal performance.<br>• Maintain version control and code repositories using Git Stash.
  • 2026-04-21T00:00:00Z
Business Analyst
  • Lawrenceville, NJ
  • onsite
  • Temporary / Contract
  • 50 - 60 USD / Hourly
  • We are looking for an experienced Business Analyst to join our team on a long-term contract basis in Lawrenceville, New Jersey. In this role, you will act as a key liaison between stakeholders and technical teams, ensuring the successful delivery of high-quality solutions that align with business goals. This position offers an exciting opportunity to contribute to process improvements, product development, and stakeholder engagement within the banking industry.<br><br>Responsibilities:<br>• Collaborate with stakeholders in an Agile environment to define project goals, timelines, and deliverables.<br>• Translate business requirements into actionable user stories and prioritize them effectively in the product backlog.<br>• Conduct thorough reviews of business processes, identifying areas for optimization and resolving stakeholder conflicts.<br>• Define clear acceptance criteria and ensure all deliverables meet quality standards before release.<br>• Partner with the development team to ensure alignment on requirements and expectations for new features.<br>• Assist stakeholders with user testing, gather feedback, and address any issues prior to production release.<br>• Analyze support tickets or customer feedback to identify recurring issues and propose solutions.<br>• Continuously refine and plan Product Backlog Items (PBIs) to align with future development cycles.<br>• Lead educational efforts, such as tutorials and presentations, to inform users about significant application updates.<br>• Provide backup support for operational tasks when necessary, ensuring seamless continuity of services.
  • 2026-04-13T00:00:00Z
Network Engineer
  • New York, NY
  • remote
  • Temporary / Contract
  • 67.2885 - 77.913 USD / Hourly
  • We are looking for an experienced Network Engineer to join our team on a long-term contract basis. This role is based in New York, New York, and requires an experienced, detail-oriented individual with expertise in network architecture, troubleshooting, and system optimization. The ideal candidate will thrive in a dynamic environment, working independently while contributing to the success of critical network operations.<br><br>Responsibilities:<br>• Provide advanced oversight and management of network systems to ensure seamless operations.<br>• Collaborate on the design and implementation of network architecture, offering guidance on complex escalations.<br>• Develop and refine helpdesk systems, incorporating automation to enhance efficiency.<br>• Participate in occasional night migrations and ensure the successful execution of these activities.<br>• Operate autonomously, demonstrating strong problem-solving skills and minimal need for supervision.
  • 2026-04-08T00:00:00Z
DevOps Engineering Manager
  • Fort Washington, PA
  • remote
  • Permanent / Full Time
  • 170000 - 190000 USD / Yearly
  • We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
  • 2026-04-21T00:00:00Z
Snowflake Solutions Engineer
  • Easton, PA
  • remote
  • Permanent / Full Time
  • 100000 - 120000 USD / Yearly
  • <p>Are you passionate about next-generation data engineering, AI, and modern cloud technologies? Our company is seeking an innovative and driven Snowflake Solutions Engineer to join our IT team in a fully remote capacity. In this role, you will lead the design and implementation of advanced Snowflake-native applications and AI-powered data solutions, creating measurable business impact utilizing Snowflake’s latest platform features. This is an exceptional opportunity to work at the forefront of data, leveraging Streamlit, Cortex AI, and emerging Snowflake technologies.</p><p><strong>Key Responsibilities:</strong></p><p><strong>Snowflake Native Application Development (30%)</strong></p><ul><li>Design and build interactive data applications using Snowflake Streamlit to enable intuitive, self-service analytics and operational workflows for business users.</li><li>Develop reusable frameworks and component libraries for rapid application delivery.</li><li>Integrate Snowflake Native Apps and third-party marketplace applications to continuously extend platform capabilities.</li><li>Create custom UDFs and stored procedures to support advanced business logic.</li></ul><p><strong>Data Architecture and Modern Platform Design (30%)</strong></p><ul><li>Develop cutting-edge data architecture solutions spanning data warehousing, data lakes, and lakehouse approaches.</li><li>Implement medallion (bronze-silver-gold) patterns to maintain data quality and governance.</li><li>Recommend optimal architecture patterns for structured analytics, semi-structured data, and AI/ML workloads.</li><li>Establish best practices for data organization, storage optimization, and query performance.</li></ul><p><strong>AI &amp; Advanced Analytics Collaboration (15%)</strong></p><ul><li>Partner with AI/data science teams to support and enhance Snowflake-based AI workloads.</li><li>Enable implementation of Snowflake Cortex AI features for practical business cases.</li><li>Guide data access and feature engineering for ML model requirements.</li><li>Contribute platform expertise to AI proof-of-concept initiatives.</li></ul><p><strong>Security, Governance, &amp; Technical Leadership (15%)</strong></p><ul><li>Design and implement RBAC hierarchies, enforcing least privilege principles.</li><li>Define security best practices including network policies and encryption; implement row/column security and data masking.</li><li>Apply tag-based policies for advanced governance.</li><li>Monitor and optimize application performance, cost, and user experience.</li><li>Lead architectural discussions, create technical documentation, and share best practices.</li></ul><p><br></p>
  • 2026-04-21T00:00:00Z
Machine Learning Engineer II (Contractor)
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 64 - 71.85 USD / Hourly
  • <p>Job Summary</p><p>We are seeking a <strong>Machine Learning Engineer</strong> 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.</p><p><br></p><p>Key Responsibilities</p><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><p><br></p>
  • 2026-04-16T00:00:00Z
AWS Big Data Architect (with Hadoop) IV (Contractor)
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 74 - 79 USD / Hourly
  • <p><strong>AWS Big Data Architect (with Hadoop) </strong></p><p><strong>Location:</strong> Hybrid 4x Onsite – Philadelphia, PA</p><p><strong>Contract Duration: </strong>Through December 31, 2026</p><p><strong>Employment Type:</strong> W2 Contract</p><p><strong>Overview</strong></p><p>We are seeking a highly skilled <strong>AWS Big Data Architect / Senior Data Engineer</strong> 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.</p><p>This role offers the opportunity to collaborate with engineering teams across the enterprise and influence broader data and technology strategies.</p><p><strong>Key Responsibilities</strong></p><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
AML Business Analytics/Data Analyst
  • New York, NY
  • onsite
  • Temporary / Contract
  • 71.25 - 82.5 USD / Hourly
  • We are looking for an experienced AML Business Analytics/Data Analyst to join our team in New York, New York. This is a long-term contract position that focuses on evaluating and enhancing data processes within the financial sector. The ideal candidate will have a strong background in data analysis, transaction monitoring, and retail brokerage or wealth management products.<br><br>Responsibilities:<br>• Analyze and monitor financial transactions to identify potential compliance risks and irregularities.<br>• Develop and maintain data requirements and source mapping to support business intelligence and analytics.<br>• Conduct in-depth analysis of retail brokerage and wealth management products to improve operational efficiency.<br>• Document and implement controls to ensure adherence to compliance standards and regulations.<br>• Collaborate with cross-functional teams to draft and refine data requirements for reporting and analysis.<br>• Utilize Microsoft SQL and BusinessObjects technologies to extract and manipulate data for actionable insights.<br>• Leverage business intelligence tools to create comprehensive reports and visualizations.<br>• Apply knowledge of Erwin Data for database modeling and management.<br>• Support compliance and anti-money laundering (AML) efforts through advanced analytics.<br>• Provide insights and recommendations based on data trends and patterns.
  • 2026-04-23T00:00:00Z