The Technical Lead will drive the execution of logistics workflow automation by partnering with business teams to design scalable technical solutions. This role involves leading engineering efforts, managing ServiceNow environments, and integrating AI agents with deterministic automation.
The Manual QA will execute functional, regression, and end-to-end testing for a SaaS-based insurance platform to ensure business requirements are met. They will document test results, report defects with clear reproduction steps, and collaborate with cross-functional teams to maintain high quality standards.
You will build and maintain the IQ Billing financial platform, managing features from the data layer to the user interface. This involves utilizing Node.js for backend data manipulation and React for front-end development.
You will build, customize, and maintain high-performing Shopify e-commerce storefronts while managing API integrations and payment processing. Additionally, you will troubleshoot production issues and collaborate directly with business stakeholders to translate requirements into technical solutions.
You will build and optimize scalable data solutions using Databricks, Python, and Apache Spark. Additionally, you will develop reliable data pipelines and implement complex transformations to support modern data platform initiatives.
Create polished marketing and communication assets, primarily for digital channels and occasionally for print, adapting approved concepts and brand standards across formats. Collaborate with the Creative Director and cross-functional teams, prepare mockups and simple animations, maintain organized design files, and revise work based on feedback.
Lead client implementations from contract award through go-live, Hypercare, and transition to steady-state operations, coordinating resources across internal teams and external stakeholders. Manage implementation plans, risks, operational documentation, system readiness, escalations, performance reviews, and continuous improvement across concurrent initiatives.
The Report Developer designs, develops, and maintains complex SSRS reports and SQL Server objects to deliver operational and analytical insights. This role also involves collaborating with stakeholders to gather requirements, providing technical support, and mentoring junior team members.
You will design, develop, and maintain enterprise solutions using low-code/no-code tools and custom Python code. Additionally, you will manage system integrations and collaborate with cross-functional teams to translate business workflows into scalable technical solutions.
The analyst will facilitate discovery sessions with ERP teams to map financial data and ensure accurate tax compliance reporting. They will act as a liaison between business stakeholders and engineering teams to support testing activities and post-go-live hypercare.
This role involves onboarding partner datasets through Snowflake and AWS S3 while designing medallion architecture data pipelines. The engineer will also develop dbt models and contribute to Agentic AI workstreams using Python and Snowflake's native AI capabilities.
The Data Engineer will support financial reporting initiatives by managing data within the Databricks data lake. This role involves collaborating with finance stakeholders to translate business requirements into effective data solutions.
The developer will build, operate, and improve a portfolio of client websites and digital experiences using CMS platforms. Responsibilities include front-end engineering, platform administration, system integrations, and providing operational support to ensure site reliability and accessibility.
The Paid Media Coordinator will manage daily content publishing, execute media strategies, and monitor engagement across platforms. They are also responsible for analyzing campaign performance data and creating reports to drive insights and improvements.
The role involves monitoring, supporting, and configuring enterprise database platforms while maintaining database-related assets and services. You will translate business requirements into scalable data models and design high-performance pipelines.
The Reporting Analyst will design, develop, and maintain advanced dashboards and visualizations using Power BI to support data-driven decision-making. They will also manage ETL pipelines and collaborate with cross-functional teams to define KPIs and optimize reporting solutions.
The Data Engineer will build and optimize scalable data solutions using Databricks, Python, and SQL. They will be responsible for developing reliable data pipelines, implementing complex transformations, and contributing to modern data platform initiatives.
You will design, implement, and improve technology and data analytics solutions to support data-informed decision-making. Additionally, you will innovate analytical interfaces and present insights to senior management and executive audiences.
The role involves developing and optimizing ETL pipelines using Databricks to support data integration and processing. You will also collaborate with cross-functional teams to design scalable data solutions and manage the data lifecycle from ingestion to visualization.
Perform user onboarding, terminations, and system access management while providing technical support for Windows, macOS, and Microsoft 365 environments. Troubleshoot hardware and software issues for end users and support the corporate phone system on a 24/7 rotating on-call schedule.
You will manage the enterprise analytics ecosystem, overseeing everything from terraform deployments to GenAI infrastructure. Additionally, you will act as a strategic guardian to ensure engineering investments are driven by objective future value.
The role involves planning and scheduling preventative and corrective maintenance tasks using CMMS tools to ensure operational efficiency. You will coordinate with cross-functional teams to manage resources, parts, and cost estimation while minimizing equipment downtime.
You will collaborate with business teams to translate operational processes into scalable, event-driven workflow automations. This involves building and maintaining integrations within and outside the ServiceNow platform using AI agents and deterministic automation.
You will manage the full accounts payable cycle, including invoice processing, vendor payments, and account reconciliations. Additionally, you will support month-end close activities and assist in the transition to SAP S/4HANA.
Design, develop, and maintain reliable, scalable software systems using Rust and TypeScript. Translate technical requirements into production-ready solutions while contributing to architectural and technical decisions.
The Quality Engineer will design and execute comprehensive testing strategies for enterprise data pipelines and products built on Microsoft Fabric. They are responsible for validating data transformations, business logic, and data quality across the Medallion Architecture.
Design and maintain interactive dashboards using tools like Power BI, Tableau, or Sigma to support business intelligence needs. Collaborate with stakeholders to extract, transform, and visualize data while ensuring accuracy and actionable insights.
You will build and support data pipelines, notebooks, and models within the Microsoft Fabric environment. You will also execute well-defined tasks while collaborating with international engineering teams to contribute to industry-specific developments.
Design, build, and support data solutions within the Microsoft Fabric ecosystem. Own end-to-end development stories while upholding engineering best practices and collaborating with international teams.
Design, develop, and maintain scalable data ingestion, transformation, integration, and delivery solutions within a modern Azure-based data platform. Collaborate across data engineering, API integration, CI/CD, and automation to support enterprise data solutions.
You will lead the architecture and implementation of enterprise-scale Databricks platforms, ensuring they are secure, scalable, and governed. You will also serve as a senior technical advisor to clients and engineering teams to establish platform standards for data, analytics, and AI workloads.
Maintain the reliability of Oracle Transportation Management platforms across on-premises and SaaS/cloud environments, troubleshoot complex production issues, and improve monitoring and observability. Automate operational processes and drive lasting reliability improvements, including support for migrations, upgrades, releases, patching, and environment transitions.
Design and implement software solutions, translating business needs and operational roadmaps into software architecture across Python, SQL, Go, and AI automation. Serve as a technical leader and advocate for engineering decisions, lead product and service initiatives, and coordinate with business leaders, IT, and transportation management platform teams.
The Senior QA Engineer will lead test script preparation and execute manual testing for a greenfield Salesforce implementation. They will collaborate with cross-functional teams to identify defects and ensure readiness for customer user acceptance testing.
Develop custom Salesforce functionality using Apex and Lightning Web Components while implementing integrations with middleware. Collaborate with architects, business analysts, and QA teams to deliver requirements and resolve technical issues within a Scrum framework.
You will configure Salesforce Sales, Service, and Revenue Cloud solutions based on defined requirements and solution designs. You will also collaborate with international architects, business analysts, and developers within a Scrum team to deliver functional platform improvements.
