• Prepare calculations, layouts, and engineering details from contract drawings, specifications, and addendums using in-house and supplemental design tools • Provide technical guidance on complex framing conditions • Deliver designs that meet applicable codes • Evaluate customer-provided information and recommend cost-effective, optimized design solutions • Identify discrepancies and ensure quotes are accurate • Utilize the most up-to-date pricing data • Partner with Builders, Vendors, and internal teams • Provide guidance and training to Builders and Field Sales • Work closely with Sales, Customer Service, Estimating, and Engineering teams • Perform and/or check complex estimates for accuracy

Position: Senior DFT Engineer (Einfochips) Location: US-AZ-Arizona (Remote Employees) time type Full time job requisition id R243606 Job Description: What You'll Be Doing: - DFT implementation for 3nm and 5nm Networking chips, IP DFT work - RTL checks for scan-insertion compatibility using Synopsys Spyglass - Scan-Insertion using Tessent TestKompress - ATPG pattern generation: - Compressed and Uncompressed Mode - Tools: Mentor Tessent, Cadence Modus & Synopsys Tetramax - Pattern Simulation: - Without timing, With timing for different corners - Tools: VCS - Mismatch debug using Verdi - Scripting with Perl, Shell, TCL: - DAeRT - DFT flow enhancement/automation in project - Makefile enhancement using extended scripts and targets for flow enhancement - MBIST Insertion and Verification: - MBIST Insertion and Verification done on block on top - Silicon debug and bring-up done for block and top - IEEE 1149.1 JTAG Insertion and verification What We Are Looking For: - 5 - 7 Years of experience in DFT - Scan-Insertion, ATPG, GLS, Pattern Simulations (with and w/o timing) - MBIST Insertion and Verification - Experience in IEEE 1149.1 JTAG Insertion and verification - Scripting languages like Perl, Shell, TCL - Worked on multi-million gate count SoCs in the area of Networking, Consumer, and various IPs like PLL, Serdes - Tools: Mentor Tessent - B. Tech, M.Tech in Microelectronics/Electronics - Excellent communicator - Low power DFT What's In It for You: At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That's why we offer competitive financial compensation, including various compensation plans and a solid benefits package. - Medical, Dental, Vision Insurance - 401k, With Matching Contributions - Short-Term/Long-Term Disability Insurance - Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options - Paid Time Off - Tuition Reimbursement - Growth Opportunities - And more! Work Arrangement Fully On-Site: Must be able to travel to an Arrow Client office location as requested by Arrow Client leadership. Location: San Jose, CA About eInfochips: eInfochips, an Arrow company (Fortune #109), is a leading global provider of product engineering and semiconductor design services. A rich history of over two decades, with over 500+ products developed and 40M deployments in 140 countries, eInfochips continues to fuel technological innovations in multiple verticals. eInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few.  Along with Arrow's $33B in revenues, 22,000 employees, and 345 locations serving over 80 countries, eInfochips is primed to accelerate connected products innovation for 150,000+ global clients. eInfochips acts as a catalyst to Arrow's Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients. Please visit www.einfochips.com for our portfolio of product engineering services across various industries & verticals. EEO Statement: Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy) Location: US-AZ-Arizona (Remote Employees) Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company's request and sole discretion. Time Type: Full time Job Category: Engineering Services EEO Statement: Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy) All Arrow job postings are for existing job vacancies. We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.

We are seeking an experienced C++ developer to work on a team maintaining and modernizing our primary product, an Enterprise Resource Planning package for small to medium-sized businesses. This person will join an experienced team as they work to grow and maintain a mature C++ codebase. Location Lancaster PA, Moscow ID, or remote. Responsibilities - Design and implement new features in C++, C#, Rust, or JScript. - Investigate, diagnose, and fix bugs where the call stack may span C++, C#, JScript, and Rust code. - Understand and map business processes to code and user interface. Skills - Experience rewriting/refactoring large codebases in an incremental manner. - Fluency in C++ is required. - Experience with C# is desired. - Experience with more recent systems languages such as Rust, Zig, or Odin is desirable but not required. - SQL fluency and experience with RMDBs, preferably Postgres, is desirable. - Older Windows technology (COM, Active Template Library, MFC) is desirable. - Experience with JScript or other JavaScript flavors is desirable as the ERP customization layer uses JScript interfacing through COM. - Experience with bookkeeping, running a small business, working in manufacturing or distribution is great for customer empathy. As a member of the Koble team, you'll receive: - Health coverage option for individual and family - Dental, vision, short-term and long-term disability options available - 401k Plan About Us For 30+ years Koble has been leading the way for small to medium-sized enterprises to manage and grow their businesses. Our customers are the backbone of our communities - from manufacturing to equipment sales/services to distribution - and our team is passionate about working alongside them through ERP software and professional services to help them grow and flourish. Our culture is built on the foundation of Christian values. We live this out by blessing our customers with our work, honoring each other, and building our communities. Today we serve hundreds of businesses throughout US and Canada with a team of over sixty employees, and we're growing fast!

Analytics Engineer III Location: Dallas, TX, United States Job Id 31424 Job Description: Job Title & Specialty Area: Analytics Engineer III (Microsoft Fabric, Power BI) Department: Enterprise Data and Analytics Location: Dallas, TX Shift: 8:00 am to 5:00 pm Job Type: Remote Why Children's Health? At Children's Health, our mission is to Make Life Better for Children, and we recognize that their health plays a crucial role in achieving this goal. Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being. Our dedication to promoting children's health extends beyond our organization and encompasses the broader community. Together, we can make a significant difference in the lives of children and contribute to a brighter and healthier future for all. Summary: Under minimal direction of data & analytics engineering leadership, the Analytics Engineer III will lead analytics engineering at scale for complex healthcare domains (e.g., enterprise surgical analytics, clinical outcomes, enterprise supply chain analytics), design semantic and product solution architectures (metrics stores, knowledge graphs), embed governance controls, shape analytics federated delivery, and mentor teams to raise analytics engineering maturity. This role will be working closely with operational stakeholders, product team members, and data stewards to ensure successful delivery of analytics products that support business goals. Analytics engineers bridge data engineering and analytics development to deliver analytics-ready data assets, semantic layers, metric stores, analytics models/marts, and operationalized anlaytics products for clinical and operational domains at Children's Health. This role family supports domain-aligned analytics, federated CI/CD and lifecycle management for analytics artifacts, and close collaboration with clinical, financial, supplychain and operational stakeholders. Responsibilities: Core Responsibilities: - Prepare and model analytically ready datasets; implement and maintain semantic layers, metrics stores or data marts; apply data engineering best practices to analytics (version control, CI/CD, environment management); collaborate with BI analysts, data scientists and domain stakeholders to operationalize analytics products; ensure alignment with governance and data quality requirements Level Specific Requirements: - Architect and govern domain semantic layers, metrics stores and knowledge-graph integrations that combine structured and unstructured clinical, operational and supplychain data to enable conversational analytics and agent-driven workflows - Drive analytics engineering best practices enterprise-wide: code/version control, CI/CD, testing, performance engineering, metadata governance and observability to ensure high model/analytics uptime and low defect rates - Ensure analytics products meet regulatory, privacy and security requirements for healthcare data; partner with governance, ARB and security teams for AI/analytics artifacts that impact clinical workflows - Lead cross-functional delivery for high-impact use cases (procedural analytics driving clinician behavior, demand planning integrated with scheduling/EHR, control tower for inventory and disruption management) - Mentor and upskill analytics engineers and BI teams; define role progression, create repeatable delivery patterns and measure analytics engineering maturity and business impact - Strategic domain ownership, stakeholder influence, ability to articulate ROI and value, mentor/lead technical teams and represent analytics engineering in architecture/governance forums - Shapes analytics engineering strategy and delivers high-impact analytics initiatives with minimal supervision - Technical and project oversight and mentorship to junior engineers and product analysts Healthcare domain considerations: - Work with EHR/clinical data and supply‑chain/ERP data sources, follow interoperability expectations (FHIR/HL7 awareness for clinical integrations), support clinical analytics use cases (procedural analytics, outcomes measurement, preference card analytics) and supply‑chain analytics (spend, contract, inventory visibility) when relevant Engineering practices to measure and apply: - Version control of analytics content, separate dev/test/prod environments, workflow orchestration, metadata/cataloging and performance testing to improve model uptime, adoption, code quality and defect resolution Governance & risk: - Adhere to organizational data governance, privacy and security requirements (e.g., HIPAA-relevant controls), and collaborate with governance or ARB where analytics/AI artifacts will be used in clinical or high-risk contexts How You’ll Be Successful: WORK EXPERIENCE - At least 6 years Across data engineering, analytics engineering or analytics platform roles with proven experience in semantic architecture, metrics stores and production CI/CD Req - At least 6 years Deep expertise in metrics stores, semantic layer design, knowledge graph/ontology concepts, advanced SQL, Python and production orchestration, platform experience (Snowflake/Databricks/MS Fabric) and BI tool optimization Req - At least 6 years Experience embedding analytics/AI governance controls into architecture (logging, monitoring for drift, access controls, traceability) and working with ARBs for regulated/AI-enabled analytics products Req - At least 6 years Leadership and project management skills; Strategic vision for analytics engineering Req - At least 6 years Strategic domain ownership, stakeholder influence, ability to articulate ROI and value, mentor/lead technical teams and represent analytics engineering in architecture/governance forums Req - At least 3 years Demonstrated healthcare domain experience (EHR/ERP integration, clinical of supply chain analytics) Pref - At least 3 years Exposure to machine learning, data science, or artificial intelligence concepts Pref EDUCATION - Four-year Bachelor's degree or equivalent experience In Computer Science, MIS, Engineering, or related field is required LICENSES AND CERTIFICATIONS - Analytics related certifications (e.g. Dbt Analytics Engineering, Microsoft Fabric Analytics Engineer Associate, Snowflake SnowPro, Databricks, Epic Cogito) or a learning plan requirement to be provided with offer includes missing relevant certifications needed to perform role, and certifications must be obtained within 180 days of starting is required A Place Where You Belong We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children’s Health a place where everyone can contribute. Holistic Benefits – How We’ll Care for You: · Employee portion of medical plan premiums are covered after 3 years. · 4%-10% employee savings plan match based on tenure · Paid Parental Leave (up to 12 weeks) · Caregiver Leave · Adoption and surrogacy reimbursement As an equal opportunity employer, Children's Health does not discriminate against employees or applicants because of race, color, religion, sex, gender identity and expression, sexual orientation, age, national origin, veteran or military status, disability, or genetic information or any other Federal or State legally-protected status or class. This applies to all aspects of the employer-employee relationship including but not limited to recruitment, hiring, promotion, transfer pay, training, discipline, workforce adjustments, termination, employee benefits, and any other employment-related activity.