Senior full-stack engineer responsible for end-to-end feature ownership spanning Django backend and React frontend. Design, build, and maintain Python/Django code and RESTful APIs, develop React components from UI/UX prototypes, manage PostgreSQL schemas, and ensure performance across the stack.… Work within containerized OCI-based workflows (Podman, Buildah, Skopeo) in Linux environments, write clean documented code, and participate in peer reviews.
As a Senior Staff Solution Architect for Teamcenter PLM at Qualcomm, you will define enterprise-scale product lifecycle management architecture for semiconductor design and manufacturing. You'll design governance frameworks for change management, data models, and cross-discipline integration across ECAD, MCAD, ERP, and quality systems while ensuring traceability and closed-loop quality enablement.… You'll act as the architectural authority over system integrators and vendors, preventing customization that undermines upgradeability, and roadmap future digital-thread capabilities spanning product definition through lifecycle feedback. This role requires 10–15+ years in IT/enterprise systems, 10–15+ years in PLM solution architecture, and 6–10+ years hands-on with Siemens Teamcenter in architect or lead roles.
This Senior BI Analyst role in Finance focuses on building and maintaining business intelligence dashboards, financial reporting systems, and analytics for a medical device company's finance organization. The analyst will consolidate commercial expenses, develop FP&A deliverables using Power BI and other BI tools, manage revenue analytics reporting, and identify automation opportunities across finance processes.… The role requires strong Excel and Power BI skills, Oracle ERP and Hyperion/SmartView expertise, knowledge of US GAAP, and familiarity with AI-enabled tools like Microsoft Copilot to streamline finance workflows.
This mid-level business analyst role focuses on transforming business processes and analytics using Microsoft Power Platform. The analyst will develop solutions and workflows using Power Apps, Power Automate, and Power Query; analyze and process data using tools like Databricks; and create data-driven dashboards and reports for defense and national security clients.… The role requires 2+ years of data analysis or management experience, knowledge of Microsoft Power Platform, and the ability to visualize data and document process improvements.
Senior hands-on software engineer building the core orchestration, data systems, and internal tooling for an automated chemistry platform. You'll own problems end-to-end across the full stack—Python backend, TypeScript/React frontend, databases, APIs, and distributed systems—designing services, modeling data flows, and building interfaces that connect synthesis requests from intake through execution.… You'll work closely with automation engineers, chemists, and ML teams to ship production features, establish engineering practices, and become a primary owner of major platform components. The role prioritizes judgment and problem-solving over language expertise, expecting fluency across the stack and comfort reaching for languages like Rust, Go, or C++ when warranted.
A Salesforce Revenue Cloud Solution Architect will lead technical strategy and delivery for enterprise CPQ and revenue management projects. The role requires translating business requirements into architected Salesforce solutions, providing hands-on guidance to development teams, and presenting solution vision to executive stakeholders.… The architect will own project scope, mentor junior staff, and demonstrate thought leadership through speaking and publishing. Requires 7+ years CRM/CPQ experience, 2+ years hands-on Salesforce Revenue Cloud, and proven success as a Solution Architect on 3+ projects.
Lead the design and governance of Sharp HealthCare's enterprise data architecture, including data models, warehouses, and integration patterns supporting clinical, operational, and strategic analytics. Collaborate with IT, analytics teams, and business stakeholders to translate organizational needs into scalable, compliant data solutions.… Optimize data pipelines, define data standards, and guide implementation of data platforms while mentoring technical team members and contributing to long-term data strategy.
The Data Systems Specialist manages inbound order and donor data, develops and maintains SQL Server and ETL processes for automated import and reconciliation workflows, and ensures data accuracy across reporting systems. Core responsibilities include scrubbing and validating orders from multiple sources, developing SSIS packages for data transformation, supporting autopay and EFT processing, and creating Power BI reports and semantic models for internal departments.… The role requires strong proficiency in SQL Server, T-SQL, SSIS, and Power BI, with the ability to follow complex business logic and validate data accuracy independently. Success depends on collaborating with Customer Service, Finance, and Media teams to gather requirements and resolve data processing issues.
As a Teamcenter Migration Architect, you will design and execute comprehensive data migration strategies for transitioning from Agile PLM to Siemens Teamcenter. You will assess current data environments, identify required systemic changes and data model updates, and map source data structures to target Teamcenter PLM configurations.… This role requires deep expertise in PLM systems, data architecture, and migration planning to ensure successful platform transition.
Design and execute data migration strategies to move from Agile PLM to Teamcenter PLM. Assess current data environments, identify required data model updates, and map source data structures to target Teamcenter configurations.… Work with PLM systems to ensure successful transition of product lifecycle management data and processes.
This role leads enterprise-level analytics and visualization initiatives, requiring 7+ years of BI and data visualization experience. The candidate will design executive dashboards and scorecards using Power BI and Tableau, establish visualization standards and governance, translate business requirements into actionable insights, and mentor analysts on best practices.… The position requires deep expertise in data modeling, SQL, dashboard architecture, and data storytelling, with strategic responsibility for the organization's long-term visualization strategy and potential evolution into a Visualization Architect role.
Senior Forward Deployed Engineer responsible for building and deploying GenAI/LLM-powered solutions on AWS, working directly with enterprise clients to translate business needs into production AI systems. The role requires 5+ years of software/data engineering experience, 1+ years hands-on with AWS AI&Data services (Bedrock, Neptune, OpenSearch), and the ability to lead technical workstreams while mentoring team members.… You will prototype solutions, develop scalable AI patterns with human-in-the-loop controls, write production-quality code with strong testing and CI/CD practices, and create reusable assets including code libraries and reference implementations. 50% travel required.
Forward Deployed Engineer who partners with enterprise clients to identify business needs and prototype production-grade GenAI/LLM solutions on AWS. Designs and builds AI-enabled agentic platforms, workflows, and scalable engineering patterns using AWS AI&Data services (Bedrock, Neptune, OpenSearch).… Delivers production-quality code with strong testing, CI/CD, logging, and documentation practices while mentoring team members and translating complex business problems into technical AI solutions.
The Product Owner will manage the product backlog and roadmap for a data platform serving alternative investment firms, applying deep expertise in ETL/ELT pipelines, data warehousing, and self-service reporting. The role requires translating complex client and business requirements into technically feasible product solutions while collaborating closely with engineering on Snowflake-based architectures, BI tools, and API integrations.… Success depends on defining metrics, monitoring post-release performance, driving adoption, and continuously refining the product based on customer feedback and usage data. The ideal candidate has 5+ years in product ownership or product management within fintech/alternative investment software, with strong domain knowledge of fund accounting, portfolio reporting, and investor reporting workflows.
Senior/Staff Data Engineer responsible for building production data pipelines, APIs, and BI tools that serve Agoda's contact center operations. Will design and maintain dashboards, metrics, and analytics platforms using SQL, Python, Java, Golang, or TypeScript; work with data warehouses like BigQuery, Snowflake, or Redshift; and orchestrate ETL/ELT workflows using tools such as Airflow or dbt.… At Staff level, defines roadmap for key data platforms, mentors junior engineers, and influences cross-team data architecture to scale with business growth.
Senior Microsoft Forward Deployed Engineer who will design, build, and deploy GenAI/LLM-powered solutions for government clients, translating business problems into production-grade AI systems. The role requires 7+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and deep expertise in Microsoft Azure (AI Foundry, OpenAI, AI Search), Python/TypeScript/C#, and Copilot extensibility.… You will lead project workstreams, work directly with client technical teams in fast-paced environments, and mentor others while building reliable, maintainable, well-documented code. 50% travel required.
As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on scalable, marketplace-ready platforms across the Software Development Lifecycle. You'll develop high-quality backend services and APIs, integrate AI/ML technologies including LLMs and agentic AI, and collaborate with cross-functional teams on Teradata's AI platform.… The role requires 5+ years of experience in backend services, distributed systems, or data platforms, with strong proficiency in Java, Go, or Python, and hands-on expertise in RESTful APIs, SQL/NoSQL databases, Kubernetes, and cloud platforms. You will also mentor engineers and stay current with emerging AI/ML and cloud-native technologies.
Design, build, and maintain data pipelines that ingest, transform, and load data from SQL Server, PostgreSQL, SaaS platforms (HubSpot), and internal applications into Snowflake. Develop and optimize data models, manage data ingestion using Azure Data Factory and data replication tools, and ensure data quality and integrity.… Collaborate with business stakeholders to translate analytics requirements into scalable solutions, develop dashboards and reports, and optimize query performance. Implement data governance best practices, monitor pipelines, and recommend technology improvements to support the company's data strategy.
Own end-to-end demand forecasting and capacity planning for AI systems, compute, storage, GPU, and emulation across a global engineering organization spanning tens of thousands of servers and hundreds of petabytes of storage. Translate silicon product roadmaps and tapeout schedules into multi-year demand plans, size and justify capital purchases into the hundreds of millions of dollars, and present capacity positions to engineering and finance leadership.… Build and maintain forecasting models, decision rules, and utilization analytics; apply AI and automation to move beyond manual spreadsheet work. Lead and mentor a team of analysts, raising their craft and setting analytical direction.
As Principal Software Engineer for AI & Data Platform, you will architect the data foundation for scientific and engineering R&D platforms, designing scalable data processing patterns, ML training pipelines, and intelligent workflow interfaces. You will own end-to-end responsibilities including data modeling for multi-use analytics and ML, building production training and fine-tuning pipelines, model evaluation and benchmarking, and setting engineering standards for the team.… The role requires 10+ years shipping production software, expert-level Python, deep experience with large-scale data systems (object storage, analytical processing, training formats), hands-on ML pipeline development, and the ability to set technical direction in early-stage environments while implementing it yourself.
Staff Software Engineer leading design and evolution of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. Responsibilities include architecting stream processing pipelines, optimizing data services using Apache Flink, Spark, ClickHouse, and Druid, integrating batch and streaming workloads with lakehouse architectures, and building AI-powered capabilities for platform automation.… The role requires deep expertise in distributed systems, real-time analytics, and mentoring engineering teams while establishing technical standards and best practices across the organization.
The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, integration patterns, and architectural standards for the Data Lake, Data Warehouse, ODS, and cloud platforms while ensuring security, resilience, and high performance.… Working closely with engineering, analytics, and business teams, the architect provides technical guidance on modern data systems, governance frameworks, and ETL/ELT pipelines. The position combines strategic vision with practical experience optimizing structured, semi-structured, and unstructured workloads across SQL, NoSQL, and cloud-native systems.
Staff-level engineer designing and operating large-scale distributed data platforms powering real-time analytics across PlayStation. You will lead the architecture and evolution of the Real-Time Analytics Platform (RTAP), own critical capabilities end-to-end from design through production operations, and mentor engineers.… Key responsibilities include building and optimizing distributed services using Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid; integrating batch and streaming workloads with lakehouse architectures; and establishing technical standards for distributed systems, stream processing, and data modeling.
The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, cloud-native integration patterns, and architectural standards supporting analytics, reporting, and digital banking applications.… This position combines strategic architectural vision with practical expertise in designing, implementing, and optimizing modern data systems across structured, semi-structured, and unstructured workloads. The architect provides technical leadership to Data Engineers and cross-functional teams while ensuring secure, resilient, and high-performing data environments.
Lead day-to-day technical project delivery for Distribution Operations initiatives including outage management, solar/battery data integrations, forecasting, automation, and analytics. Transform technical requirements into delivery plans, sprint backlogs, and release milestones while coordinating work across data engineers, architects, cybersecurity teams, and vendors.… Manage project controls, scheduling, defect tracking, and comprehensive documentation across integrations, ETL/ELT pipelines, cloud analytics, and Power Platform solutions. Facilitate design reviews, support operational readiness, and ensure technical solutions meet engineering rigor and real-world operational needs.