We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
<p>A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting & Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains.</p><p><br></p><p><strong>QUALIFIED CANDIDATES SHOULD HAVE EXPERIENCE WITH:</strong></p><ul><li>Serving as a Databricks SME</li><li>ERP integrations (strong plus)</li><li>Python / PySpark</li><li>Performance tuning and optimization</li><li>Databricks maintenance, including VACUUM</li><li>Data governance and best practices</li><li>Semantic modeling</li></ul><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li><strong>Architecture & Strategy:</strong> Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards.</li><li><strong>Build & Migration:</strong> Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader.</li><li><strong>Platform Operations:</strong> Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs.</li><li><strong>Governance & AI:</strong> Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics.</li><li><strong>Partner & Legacy Management:</strong> Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.</li></ul><p><br></p>
We are looking for a Database Administrator to join a contract opportunity with the potential to become permanent, based in Wayne, Pennsylvania. This position supports a mixed enterprise data environment that includes Oracle/Lawson, Snowflake, AWS-based data services, and Drupal/Acquia platforms. The role is ideal for someone who can balance core database administration with data integration, reporting support, and cloud platform optimization. You will play a key part in keeping business-critical data dependable, secure, and well-structured for operational and analytical use.<br><br>Responsibilities:<br>• Oversee the day-to-day administration of Oracle/Lawson databases, including performance monitoring, backup coordination, recovery planning, and platform maintenance.<br>• Partner with technical teams to support database needs for application updates, system enhancements, and production issue resolution.<br>• Administer and improve Snowflake environments by refining data models, tuning workloads, and supporting scalable reporting structures.<br>• Build and maintain AWS-based data pipelines using services such as S3, Lambda, and Glue to move and transform enterprise data efficiently.<br>• Create and support integration processes across multiple business systems, with a focus on data validation, transformation, reconciliation, and consistency.<br>• Prepare and organize Drupal/Acquia data for reporting, analytics, and downstream consumption by dashboards or business intelligence tools.<br>• Validate migrated and integrated data to ensure completeness, accuracy, and alignment with business rules.<br>• Develop complex SQL solutions to support data extraction, transformation, and reporting requirements across legacy and cloud platforms.<br>• Document data movement, integration logic, and governance practices to improve transparency, quality, and long-term supportability.
We are looking for a Software Engineer to join a long-term contract opportunity based in New York, NY. This role supports a modern Microsoft-focused environment and combines hands-on technical problem solving with user-facing service for a wide range of infrastructure and endpoint needs. The position also offers the chance to collaborate with cross-functional teams, contribute to environment improvements, and strengthen overall support capabilities through technical leadership and mentorship.<br><br>Responsibilities:<br>• Deliver high-level technical support across infrastructure, desktop systems, and end-user computing environments, resolving complex issues efficiently.<br>• Administer and troubleshoot Azure-based services, organizational user profiles, and Intune-managed devices to maintain stable operations.<br>• Design, implement, and refine Microsoft policies and configuration standards to improve security, consistency, and device performance.<br>• Work closely with the infrastructure team to address escalations, coordinate shared initiatives, and support ongoing technical projects.<br>• Provide responsive, thorough assistance to executive-level users, ensuring a high-quality support experience and timely issue resolution.<br>• Participate in testing, verification, and post-change validation activities related to infrastructure upgrades and environment updates.<br>• Guide less experienced engineers through technical challenges, share best practices, and help raise the overall capability of the support team.
<p><strong>Business Intelligence Developer I (Tableau)</strong></p><p><strong>Location: Remote (EST Hours)</strong></p><p><strong>Duration: Through 12/6/2026, extensions possible</strong></p><p><br></p><p><br></p><p>We are looking for a Business Intelligence Developer to support reporting and analytics initiatives. In this role, you will create intuitive Tableau dashboards and deliver actionable insights that help teams make informed business decisions. The ideal candidate brings hands-on experience with Tableau development, a strong understanding of data visualization principles, and the ability to turn business needs into efficient reporting solutions.</p><p><br></p><p>Responsibilities:</p><p>• Build, enhance, and maintain Tableau dashboards and reports that present complex data in a clear and meaningful way.</p><p>• Partner with business stakeholders to gather reporting needs and convert them into practical visualization and analytics solutions.</p><p>• Develop calculated fields, custom logic, and advanced visual elements to support detailed analysis and business insight.</p><p>• Improve dashboard efficiency by identifying bottlenecks and applying Tableau-specific performance optimization techniques.</p><p>• Work with data structures and source specifications to support accurate reporting and effective dashboard design.</p><p>• Participate in Agile or Scrum ceremonies, contributing to iterative development, prioritization, and delivery planning.</p><p>• Execute testing activities across reports and dashboards, including unit, integration, regression, and performance validation.</p><p>• Collaborate with cross-functional teams to troubleshoot issues, refine requirements, and ensure reporting deliverables meet business expectations.</p>
<p><strong>Sr. Data Engineer IV</strong></p><p><strong>Contract through 12/31/26 with ongoing extensions</strong></p><p><strong><u>*REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PA*</u></strong></p><p><br></p><p>We are seeking a Senior Data Engineer to support enterprise data modernization initiatives focused on inventory, supply, and yield analytics. This role will be responsible for designing, building, and enhancing scalable data pipelines within a modern cloud-based data ecosystem. The ideal candidate brings strong hands-on expertise in Databricks, Python, PySpark, and AWS, along with experience supporting migration efforts, modernizing legacy platforms, and delivering reliable data assets for analytics and reporting environments.</p><p><br></p><p>Responsibilities:</p><ul><li>Design, develop, test, and maintain scalable ETL processes and data pipelines using Databricks, Python, PySpark, AWS, and Snowflake.</li><li>Build and enhance data engineering solutions supporting inventory, supply, and yield analytics initiatives.</li><li>Develop core data assets and pipelines that support enterprise reporting and analytics platforms, including Tableau.</li><li>Modernize legacy data engineering jobs and contribute to cloud migration and technical debt reduction efforts.</li><li>Create and maintain technical documentation, specifications, testing artifacts, and quality assurance processes.</li><li>Provide post-deployment support, troubleshoot production issues, and ensure reliable pipeline operations.</li><li>Identify and mitigate risks, including single points of failure (SPOF), to improve platform stability and resiliency.</li><li>Develop and manage infrastructure using Terraform.</li><li>Implement and maintain CI/CD pipelines using tools such as GitHub Actions or Concourse.</li><li>Collaborate with engineering teams, stakeholders, and Agile Release Train (ART) members to define requirements and deliver scalable solutions.</li><li>Participate in code reviews, knowledge sharing, and continuous improvement initiatives.</li></ul><p><br></p>
<p>We are looking for a Financial Data Analyst to support analytical and data-focused work. This Long-term Contract position is well suited for an early-career candidate or entry-level applicant who is eager to build hands-on experience interpreting financial information, organizing numeric data, and contributing to reporting accuracy. The ideal candidate brings a strong foundation in financial markets, advanced Excel capability, and the ability to evaluate unstructured information with precision in a fast-paced setting.</p><p><br></p><p>Responsibilities:</p><p>• Review financial data sets and transform raw numeric information into clear, usable analysis for business and reporting needs.</p><p>• Examine unstructured text and supporting records to identify relevant financial details, trends, and exceptions.</p><p>• Prepare spreadsheets, summaries, and data outputs using advanced Microsoft Excel functions to improve accuracy and efficiency.</p><p>• Enter, validate, and reconcile high-volume financial information while maintaining strong attention to detail.</p><p>• Use financial platforms and analytical tools to research, organize, and interpret market-related data.</p><p>• Support reporting activities by compiling findings, checking data integrity, and highlighting inconsistencies for follow-up.</p><p>• Collaborate with internal stakeholders to clarify data requirements and ensure timely delivery of financial analysis.</p><p>• Assist with process-related tasks tied to financial data workflows, including updates associated with system or operational changes when needed.</p>
<p>We are seeking a detail-oriented <strong>Junior Data Analyst</strong> to support critical data quality and Master Data Management (MDM) initiatives. This is an excellent opportunity for an early-career data professional who enjoys working with data, troubleshooting quality issues, and ensuring information is accurate and reliable across enterprise systems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Review and investigate data records that fail automated matching and validation processes.</li><li>Research and resolve data discrepancies, duplicates, and data quality exceptions.</li><li>Perform data cleansing activities, including standardization, formatting corrections, validation, and deduplication.</li><li>Monitor data quality dashboards, exception reports, and remediation queues.</li><li>Conduct root cause analysis to identify recurring data issues and recommend improvements.</li><li>Support the onboarding and ongoing maintenance of a Master Data Management (MDM) platform.</li><li>Collaborate with business stakeholders to ensure accurate data entry and data governance practices.</li><li>Document remediation activities and maintain audit trails for compliance and reporting purposes.</li><li>Assist in maintaining accurate customer, partner, and enterprise master data records.</li></ul><p><br></p>
We are looking for a Machine Learning Engineer I (Contractor) to join a team building and improving intelligent software solutions. This Long-term Contract position is well suited for someone who enjoys working across model development, data engineering, and production deployment in a hands-on engineering environment. The role offers the opportunity to support both current applications and early-stage concepts by combining technical execution with careful analysis, testing, and documentation.<br><br>Responsibilities:<br>• Build, improve, and verify machine learning algorithms that support product and application objectives.<br>• Create and maintain end-to-end data workflows that handle ingestion, quality checks, cleansing, and ongoing monitoring.<br>• Train machine learning models, measure performance against validation criteria, and release models that meet requirements into production environments.<br>• Contribute to prototype development and exploratory initiatives that help shape future technical solutions.<br>• Prepare and update technical materials such as evaluation plans, reports, presentations, white papers, test summaries, manuals, and Confluence documentation.<br>• Execute testing activities, analyze outcomes, and document findings through case studies and structured reporting.<br>• Partner with engineering and cross-functional teams to translate technical requirements into practical machine learning solutions.
We are looking for an experienced Lead Platform Engineer, Snowflake to help shape and support enterprise data platforms in New York, New York. This contract opportunity is ideal for someone who combines deep Snowflake knowledge with broad experience across cloud-based and traditional database environments. The person in this role will guide platform reliability, security, and performance while partnering with technical teams on architecture, modernization, and data movement initiatives.<br><br>Responsibilities:<br>• Lead the administration, configuration, and ongoing support of Snowflake environments to ensure stability, security, and strong performance.<br>• Improve platform efficiency by analyzing workloads, tuning queries, and optimizing storage and compute usage across large-scale data ecosystems.<br>• Partner with engineering and data teams to design scalable data architectures and support effective data modeling practices.<br>• Oversee database operations across multiple platforms, including Microsoft SQL Server and PostgreSQL, within cloud-based environments such as AWS.<br>• Drive data migration efforts and help implement platform enhancements that improve reliability, maintainability, and long-term scalability.<br>• Provide technical leadership to the team by mentoring engineers, reviewing solutions, and guiding best practices across the data platform landscape.<br>• Develop and maintain automation, scripts, or tooling in Python to streamline operational tasks and support platform management.<br>• Use Git-based workflows to manage changes, support collaboration, and maintain version control across engineering deliverables.
We are looking for a Systems Engineer to deliver infrastructure and cloud initiatives for clients in Pennsylvania. This position is ideal for a hands-on technical specialist who can guide projects from discovery through deployment while collaborating with stakeholders across client, vendor, and internal teams. The role focuses on modernizing environments, strengthening security, and producing reliable documentation that supports long-term operational success.<br><br>Responsibilities:<br>• Direct end-to-end delivery of infrastructure and cloud engagements, ensuring projects are planned, executed, and completed according to scope and timeline expectations.<br>• Act as the lead technical contact during implementations, partnering with clients, third-party providers, and internal engineers to keep work aligned and moving forward.<br>• Install, upgrade, and transition core technologies such as Microsoft 365, Azure services, Windows servers, virtualization platforms, backup systems, and security tools.<br>• Prepare project documentation including statements of work, schedules, implementation approaches, risk considerations, and technical recommendations.<br>• Evaluate existing client environments, identify improvement opportunities, and advise on practical solutions that enhance performance, resilience, and security.<br>• Carry out initiatives such as Microsoft 365 migrations, Azure deployments, Active Directory modernization efforts, and server consolidation projects.<br>• Configure and support network infrastructure, including firewalls, switches, wireless platforms, VPN connectivity, and software-defined networking solutions.<br>• Maintain compliance with security standards and documentation expectations by producing diagrams, procedures, and transition materials for completed work.<br>• Contribute to kickoff sessions, progress reviews, and post-deployment discussions to promote clear communication and successful project outcomes.<br>• Support solution scoping and estimation efforts with sales and account teams, and provide escalation assistance for advanced infrastructure issues when needed.
We are looking for a Software Developer to support enterprise integration solutions for a legal organization based in New York, New York. This role focuses on building, maintaining, and improving reliable system connections that enable accurate data exchange across business applications. The ideal candidate brings strong technical depth in integration development, production support, and application deployment, along with the ability to turn operational needs into practical technical outcomes.<br><br>Responsibilities:<br>• Design, build, and enhance enterprise integrations using Integration Builder to support critical business processes.<br>• Develop and maintain secure connections between systems by working with APIs, webhooks, and modern authentication methods such as OAuth2 and token-based access.<br>• Create and validate data mappings, transformation logic, and schema alignment to ensure consistent and accurate information flow across platforms.<br>• Write and optimize SQL queries for reconciliation, issue investigation, and data validation while supporting overall integration performance.<br>• Monitor production interfaces, resolve incidents within service expectations, and perform root cause analysis to prevent recurring issues.<br>• Implement reliable integration processes by incorporating scheduling, incremental data movement, change tracking, and exception management.<br>• Configure, test, document, and deploy new applications and technical solutions while supporting user readiness and operational adoption.<br>• Partner with stakeholders to interpret business needs and translate them into scalable, supportable technical designs.
We are looking for a Software Developer to join a financial services team on a contract-to-permanent basis. This role focuses on building production-ready software and AI-enabled solutions that connect applications, data sources, and intelligent workflows. The ideal candidate brings strong Python expertise along with experience delivering scalable systems that support real business operations in a cloud-connected environment.<br><br>Responsibilities:<br>• Design, develop, and maintain robust software applications using Python and related technologies for enterprise use cases.<br>• Build and connect AI-driven solutions that integrate with databases, business platforms, and external services.<br>• Create and refine production-grade workflows involving large language models, orchestration pipelines, and agent-based processes.<br>• Implement solutions using modern AI development frameworks such as LangChain, AutoGen, or Semantic Kernel.<br>• Collaborate with cross-functional teams to deploy intelligent applications into live environments with reliability, security, and performance in mind.<br>• Develop cloud-integrated features and services, with preference for experience supporting Azure-based AI capabilities.<br>• Contribute to application enhancements across existing development stacks, including .NET, C#, ASP.NET, JavaScript, and the .NET Framework where needed.
We are looking for a Business Analyst to join a long-term contract opportunity in Fort Washington, Pennsylvania. In this role, you will connect business stakeholders and technical teams, turning operational needs into practical system and process solutions. The position calls for strong analytical thinking, clear documentation, and effective collaboration across project teams working within an agile environment.<br><br>Responsibilities:<br>• Partner with business and IT teams to evaluate needs, clarify priorities, and recommend system or process improvements that support organizational goals.<br>• Gather, analyze, and document current-state workflows and future-state solutions, including meeting notes, decisions, dependencies, and project risks.<br>• Lead requirements sessions with stakeholders to define end-to-end business needs and identify opportunities for process redesign or new technology capabilities.<br>• Produce detailed functional, reporting, security, and business requirements and work closely with developers to support solution design and delivery.<br>• Contribute to agile project activities by helping prepare sprint plans, writing user stories, defining acceptance criteria, and supporting status reporting.<br>• Assist with software enhancements and implementation efforts by developing analysis that supports business cases, solution options, and project decisions.<br>• Coordinate assigned project tasks to keep deliverables on schedule, and provide support for smaller initiatives or workstreams when needed.<br>• Support testing activities by partnering with quality assurance teams, performing unit or business-side validation, and confirming that delivered features meet business expectations.<br>• Serve as the primary liaison across project managers, technical teams, QA, and business units to promote alignment and resolve application or system issues efficiently.
We are looking for a Network Engineer to support and enhance our private cloud and network environment in New York, New York. In this role, you will help maintain reliable, secure, and high-performing infrastructure that supports business-critical services in a dynamic fintech setting. You will work alongside technical teams to improve operational stability, strengthen network security, and contribute to efficient day-to-day infrastructure management.<br><br>Responsibilities:<br>• Build, administer, and improve private cloud infrastructure with an emphasis on uptime, scalability, and operational resilience.<br>• Configure, monitor, and troubleshoot network devices to maintain strong performance across the environment.<br>• Apply security controls and support compliance-focused practices to reduce infrastructure risk and address vulnerabilities.<br>• Collaborate with engineering and application teams to deliver a dependable platform for internal systems and client-facing services.<br>• Identify opportunities to automate recurring operational tasks and streamline infrastructure workflows.<br>• Investigate incidents, respond to support needs, and restore service quickly through effective technical problem-solving.<br>• Create and maintain clear technical documentation for configurations, procedures, and operational standards.<br>• Participate in a rotating on-call schedule that may include after-hours and weekend support, along with occasional travel to office or data center locations.
<p>We are looking for an experienced Sr. Cloud Engineer to lead the design and operation of secure, scalable cloud environments. This role focuses on building resilient multi-cloud infrastructure across AWS and Microsoft Azure while advancing automation, governance, and operational reliability. The ideal candidate brings strong expertise in Terraform, cloud architecture, and enterprise-wide security practices, along with a practical approach to performance monitoring and cost control.</p><p><br></p><p>Responsibilities:</p><p>• Build and manage multi-cloud infrastructure across AWS and Azure with a focus on security, scalability, and reliability.</p><p>• Create and enhance infrastructure automation using Terraform to standardize provisioning, configuration, and ongoing platform management.</p><p>• Establish enterprise cloud governance by designing landing zones, multi-account structures, and policy controls across AWS and Azure environments.</p><p>• Monitor platform health, security posture, compliance status, and service availability using native and third-party observability tools.</p><p>• Partner with application and infrastructure teams to develop backup, disaster recovery, high-availability, and failover solutions that support business continuity.</p><p>• Review cloud environments regularly to improve resource utilization, strengthen security controls, and reduce unnecessary spend.</p><p>• Advise stakeholders on cloud architecture, operational best practices, troubleshooting, and approaches for moving on-premises systems into cloud platforms.</p><p>• Design and maintain identity and access management models, including role-based access and federated identity solutions across cloud accounts and subscriptions.</p><p>• Produce and maintain clear technical documentation covering architecture standards, configurations, procedures, and support processes.</p><p>• Contribute to capacity planning, performance tuning, and long-term platform optimization initiatives across enterprise cloud services.</p>