Data engineer jobs in Indio, CA

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

ABI Document Support Services is seeking a highly skilled Data Engineer with proven experience in Power BI and data pipeline development. This person will ideally work onsite out of the Loma Linda, CA office Tuesday, Wednesday and Thursdays and remote Mondays and Fridays. Apply fast, check the full description by scrolling below to find out the full requirements for this role. The ideal candidate will design, build, and maintain scalable data infrastructure to support analytics and reporting needs across the organization. You'll work closely with business stakeholders and analysts to ensure data accuracy, performance, and accessibility. Design, build, and maintain ETL/ELT pipelines for structured and unstructured data from various sources. Develop and manage data models, data warehouses, and data lakes to support analytics and BI initiatives. Create and optimize Power BI dashboards and reports, ensuring accurate data representation and performance. Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. Implement and maintain data quality, governance, and security standards. Monitor and optimize data pipeline performance, identifying bottlenecks and opportunities for improvement. Integrate data from multiple systems using tools such as Azure Synapse, Microsoft Fabric, SQL, Python, or Spark. Support data validation, troubleshooting, and root cause analysis for data inconsistencies. Document data processes, architecture, and system configurations. Required: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. 4-6 years of experience as a Data Engineer, BI Developer, or related role Strong proficiency in SQL and data modeling techniques. Hands-on experience with Power BI (DAX, Power Query, and data visualization best practices). Experience with ETL tools and data orchestration frameworks (e.g., Azure Synapse, Airflow, or SSIS). Familiarity with cloud data platforms (Azure, AWS, or GCP). Strong understanding of data warehousing concepts (e.g., star schema, snowflake schema). Preferred: Experience with Python or Scala for data processing. Knowledge of Azure Synapse, Databricks, or similar technologies. Understanding of CI/CD pipelines and version control systems (Git). Exposure to data governance and security frameworks. Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Detail-oriented with a focus on data accuracy and integrity. Ability to work independently and manage multiple priorities in a fast-paced environment. WHO WE ARE ABI Document Support Services is the largest nationwide provider of records retrieval, subpoena services, and document management for the legal and insurance industries. There is no other company in the market that provides the volume of successfully retrieved records or the document management solutions that ABI offers. Our singular focus is records retrieval and the most advanced technology solutions for our clients to manage, analyze and summarize those retrieved records. We are committed to continually raising the bar for cost effective record retrieval and more thorough analysis and summarization. Equal Opportunity Employer. xevrcyc All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Equal Opportunity Employer - Minorities/Females/Disabled/Veterans ABI offers a fast-paced team atmosphere with competitive benefits (medical, vision, dental), paid time off, and 401k. #LI-MB1

About us: Intuitive is an innovation-led engineering company delivering business outcomes for 100's of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers: Modernization & Migration Application & Database Modernization Platform Engineering (IaC/EaC, DevSecOps & SRE) Cloud Native Engineering, Migration to Cloud, VMware Exit FinOps Data & AI/ML Data (Cloud Native / DataBricks / Snowflake) Machine Learning, AI/GenAI Cybersecurity Infrastructure Security Application Security Data Security AI/Model Security SDx & Digital Workspace (M365, G-suite) SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility Email, Collaboration, Directory Services, Shared Files Services Intuitive Services: Professional and Advisory Services Elastic Engineering Services Managed Services Talent Acquisition & Platform Resell Services About the job: Title: Imaging Data Engineer/Architect Start Date: Immediate # of Positions: 1 Position Type: Contract/ Full-Time Location: San Francisco, CA Notes: Imaging data Engineer/architect who understands Radiology and Digital pathology, related clinical data and metadata. Hands-on experience on above technologies, and with good knowledge in the biomedical imaging, and data pipelines overall. About the Role We are seeking a highly skilled Imaging Data Engineer/Architect to join our San Francisco team as a Subject Matter Expert (SME) in radiology and digital pathology. This role will design and manage imaging data pipelines, ensuring seamless integration of clinical data and metadata to support advanced diagnostic and research applications. The ideal candidate will have deep expertise in medical imaging standards, cloud-based data architectures, and healthcare interoperability, contributing to innovative solutions that enhance patient outcomes. Responsibilities Design and implement scalable data architectures for radiology and digital pathology imaging data, including DICOM, HL7, and FHIR standards. Develop and optimize data pipelines to process and store large-scale imaging datasets (e.g., MRI, CT, histopathology slides) and associated metadata. Collaborate with clinical teams to understand radiology and pathology workflows, ensuring data solutions align with clinical needs. Ensure data integrity, security, and compliance with healthcare regulations (e.g., HIPAA, GDPR). Integrate imaging data with AI/ML models for diagnostic and predictive analytics, working closely with data scientists. Build and maintain metadata schemas to support data discoverability and interoperability across systems. Provide technical expertise to cross-functional teams, including product managers and software engineers, to drive imaging data strategy. Conduct performance tuning and optimization of imaging data storage and retrieval systems in cloud environments (e.g., AWS, Google Cloud, Azure). Document data architectures and processes, ensuring knowledge transfer to internal teams and external partners. Stay updated on emerging imaging technologies and standards, proposing innovative solutions to enhance data workflows. Qualifications Education: Bachelor's degree in computer science, Biomedical Engineering, or a related field (master's preferred). Experience: 5+ years in data engineering or architecture, with at least 3 years focused on medical imaging (radiology and/or digital pathology). Proven experience with DICOM, HL7, FHIR, and imaging metadata standards (e.g., SNOMED, LOINC). Hands-on experience with cloud platforms (AWS, Google Cloud, or Azure) for imaging data storage and processing. Technical Skills: Proficiency in programming languages (e.g., Python, Java, SQL) for data pipeline development. Expertise in ETL processes, data warehousing, and database management (e.g., Snowflake, BigQuery, PostgreSQL). Familiarity with AI/ML integration for imaging data analytics. Knowledge of containerization (e.g., Docker, Kubernetes) for deploying data solutions. Domain Knowledge: Deep understanding of radiology and digital pathology workflows, including PACS and LIS systems. Familiarity with clinical data integration and healthcare interoperability standards. Soft Skills: Strong analytical and problem-solving skills to address complex data challenges. Excellent communication skills to collaborate with clinical and technical stakeholders. Ability to work independently in a fast-paced environment, with a proactive approach to innovation. Certifications (preferred): AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or equivalent. Certifications in medical imaging (e.g., CIIP - Certified Imaging Informatics Professional).

About the Role We're looking for a Senior Data Warehouse & BI Developer to join our Data & Analytics team and help shape the future of Ariat's enterprise data ecosystem. You'll design and build data solutions that power decision-making across the company, from eCommerce to finance and operations. In this role, you'll take ownership of data modeling, and BI reporting using Cognos and Tableau, and contribute to the development of SAP HANA Calculation Views. If you're passionate about data architecture, visualization, and collaboration - and love learning new tools - this role is for you. You'll Make a Difference By Designing and maintaining Ariat's enterprise data warehouse and reporting architecture. Developing and optimizing Cognos reports for business users. Collaborating with the SAP HANA team to develop and enhance Calculation Views. Translating business needs into technical data models and actionable insights. Ensuring data quality through validation, testing, and governance practices. Partnering with teams across the business to improve data literacy and reporting capabilities. Staying current with modern BI and data technologies to continuously evolve Ariat's analytics stack. About You 7+ years of hands-on experience in BI and Data Warehouse development. Advanced skills in Cognos (Framework Manager, Report Studio). Strong SQL skills and experience with data modeling (star schemas, dimensional modeling). Experience building and maintaining ETL processes. Excellent analytical and communication skills. A collaborative, learning-oriented mindset. Experience developing SAP HANA Calculation Views preferred Experience with Tableau (Desktop, Server) preferred Knowledge of cloud data warehouses (Snowflake, BigQuery, etc.). Background in retail or eCommerce analytics. Familiarity with Agile/Scrum methodologies. About Ariat Ariat is an innovative, outdoor global brand with roots in equestrian performance. We develop high-quality footwear and apparel for people who ride, work, and play outdoors, and care about performance, quality, comfort, and style. The salary range for this position is $120,000 - $150,000 per year. The salary is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data for geographic locations. Ariat in good faith believes that this posted compensation range is accurate for this role at this location at the time of this posting. This range may be modified in the future. Ariat's holistic benefits package for full-time team members includes (but is not limited to): Medical, dental, vision, and life insurance options Expanded wellness and mental health benefits Paid time off (PTO), paid holidays, and paid volunteer days 401(k) with company match Bonus incentive plans Team member discount on Ariat merchandise Note: Availability of benefits may be subject to location & employment type and may have certain eligibility requirements. Ariat reserves the right to alter these benefits in whole or in part at any time without advance notice. Ariat will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local laws. Ariat is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis protected under federal, state, or local law. Ariat is committed to providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, email *************************. Please see our Employment Candidate Privacy Policy at ********************* to learn more about how we collect, use, retain and disclose Personal Information. Please note that Ariat does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agreement, Ariat will not consider or agree to payment of any referral compensation or recruiter/agency placement fee. In the event a recruiter or agency submits a resume or candidate without a previously signed Agreement, Ariat explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of Ariat.

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring. Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion. Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals. Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment. Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring. Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy. Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders. Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you'll **design resilient ETL/ELT pipelines and data contracts** to ensure datasets are analytics- and ML-ready. You'll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale. * * * ### **You're a great fit if you:** - Have a background in **computer science, data engineering, or information systems**. - Are proficient in **Python, pandas, and SQL**. - Have hands-on experience with **databases** like PostgreSQL or SQLite. - Understand distributed data processing with **Spark or DuckDB**. - Are experienced in orchestrating workflows with **Airflow** or similar tools. - Work comfortably with common formats like **JSON, CSV, and Parquet**. - Care about **schema design, data contracts, and version control** with Git. - Are passionate about building pipelines that enable **reliable analytics and ML workflows**. * * * ### **Primary Goal of This Role** To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems. * * * ### **What You'll Do** - Build and maintain **ETL/ELT pipelines** with a focus on scalability and resilience. - Validate and enrich datasets to ensure they're **analytics- and ML-ready**. - Manage **schemas, versioning, and data contracts** to maintain consistency. - Work with **PostgreSQL/SQLite, Spark/Duck DB, and Airflow** to manage workflows. - Optimize pipelines for performance and reliability using **Python and pandas**. - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs. * * * ### **Why This Role Is Exciting** - You'll create the **data backbone** that powers cutting-edge AI research and applications. - You'll work with modern **data infrastructure and orchestration tools**. - You'll ensure **reproducibility and reliability** in high-stakes data workflows. - You'll operate at the **intersection of data engineering, AI, and scalable systems**. * * * ### **Pay & Work Structure** - You'll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20-30 hrs/week) with flexible hours-work from anywhere, on your schedule. - Weekly Bonus of **$500-$1000 USD** per 5 tasks. - Remote and flexible working style.

JOB Title : Data Scientist + ML Engineer (Gen AI) (NO C2C) Duration : 12 months contract with possible extension We are looking for a highly skilled Data Scientist + ML Engineer (Generative AI)to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models - including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets. This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines. RESPONSIBILITIES: Design and Implement LLM-Driven Synthetic Data Pipelines: Design and build work flows using LLMs and Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing. Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures) Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement Partner cross-functionally with researchers, engineers, and data program managers to defi ne requirements and deliver high-impact ML solutions Build and enhance internal tools, libraries, and automation work flows to accelerate experimentation and iteration REQUIRED EXPERIENCE AND SKILLS: Bachelor's degree in Computer Science or related fi eld from an accredited U.S. institution 2+ years of experience in Machine Learning or Software Engineering Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs) Excellent analytical, problem-solving, and debugging skills Strong communication and documentation skills with the ability to explain complex concepts clearly Ability to work independently in a fast-paced, iterative development environment

EdgeX builds infrastructure-free IoT systems for real-time asset tracking and environmental monitoring, primarily in healthcare and industrial environments. Our sensors and platform operate entirely independent of facility IT, enabling instant deployment and insights. As part of our platform evolution, we have implemented Microsoft Azure Data Explorer (ADX) to enhance scalability, performance, and long-term maintainability across our data ecosystem. Role We are seeking an Advisory Azure Data Architect with deep expertise in IoT, time-series data, and observability platforms to provide expert oversight and validation as we transition more services and reporting workloads to ADX. This is a part-time, advisory engagement - ideal for a seasoned architect who can dedicate a few hours per week to help ensure that our ADX implementation, data migration strategy, and observability stack are aligned with best practices for scalability, performance, and cost efficiency. Key Responsibilities • Act as a strategic advisor to our engineering and infrastructure teams as we integrate additional systems and reports with ADX. • Review and validate existing ADX configurations, ingestion pipelines, and data models. • Provide guidance on data migration strategies, retention policies, and performance optimization. • Ensure proper observability and monitoring are in place using tools such as Datadog, Azure Monitor, and related platforms. • Offer best practices for managing and scaling telemetry and IoT data workloads. • Participate in periodic architecture reviews and provide actionable feedback to technical leadership. What We're Looking For • Proven experience designing and optimizing Azure Data Explorer (ADX) environments at scale. • Strong background in IoT, time-series data, and streaming architectures. • Hands-on familiarity with observability tools such as Datadog, Azure Monitor, Grafana, or Prometheus. • Understanding of related Azure services (Event Hubs, IoT Hub, Data Factory, Synapse, Log Analytics). • Excellent communication and advisory skills; able to collaborate effectively with both technical and leadership teams. • Prior consulting or fractional advisory experience preferred. Engagement Details • Part-time, advisory role (approx. 2-5 hours per week). • Flexible schedule; remote candidates welcome. • Focused on mid-to-late project validation and optimization, not initial architecture design.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

🚀 We're Hiring: Senior Data Consultant - (Supply Chain Planning) Bristlecone, a Mahindra company, is a leading supply chain and business analytics advisor, rated by Gartner as one of the top ten system integrators in the supply chain space. We have been a trusted partner to global enterprises such as Applied Materials, Exxon Mobil, Flextronics, Nestle, Unilever, Whirlpool, and many others. 🔍 Project Overview: We are looking for a strong Data Consultant to support our planning projects. The ideal candidate will have a solid understanding of planning processes and data management within a supply chain or business planning environment. While deep configuration knowledge of SAP IBP is not mandatory, the consultant must have a strong grasp of planning data, business rules, and their impact on planning outcomes. This is a strategic initiative aimed at transforming planning processes across Raw Materials, Finished Goods, and Packaging materials. You'll be the go-to expert for managing end-to-end planning data across SAP IBP and ECC systems (SD, MM, PP). 🛠️ Key Responsibilities: Collaborate with planning teams to analyze, validate, and manage data relevant to planning processes. Demonstrate a clear understanding of basic planning functionalities and how data supports them. Identify, define, and manage data elements that impact demand, supply, and inventory planning. Understand and document business rules and prerequisites related to data maintenance and planning accuracy. Coordinate data collection activities from super users and end users across multiple functions. Support data readiness for project milestones including testing, validation, and go-live. Explain how different data elements influence planning outcomes to non-technical stakeholders. Work closely with functional and technical teams to ensure data integrity and consistency across systems. Required Skills & Qualifications: Strong understanding of planning processes (demand, supply, or S&OP). Proven experience working with planning master data (e.g., product, location, BOM, resources, etc.). Ability to analyze complex datasets and identify inconsistencies or dependencies. Excellent communication and coordination skills with cross-functional teams. Exposure to SAP IBP, APO, or other advanced planning tools (preferred but not mandatory). Strong business acumen with the ability to link data quality to planning outcomes. 5-10 years of relevant experience in data management, planning, or supply chain roles. Preferred Qualifications: Experience with large-scale planning transformation or ERP implementation projects. Knowledge of data governance and data quality frameworks. Experience in working with super users/end users for data validation and readiness. Privacy Notice Declarations for California based candidates/Jobs:: ********************************************************

itD is seeking a Data Scientist to build and refine models that support forecasting, operational decision-making, and performance insights across key business areas. This role will translate complex datasets into clear recommendations that improve efficiency and guide strategic planning. The ideal candidate has a strong foundation in Python and statistical modeling, along with hands-on experience in machine learning and operational analytics. This long-term W2 opportunity is hybrid in Fremont, CA. Pay Rate: $75-90/hr per hour, depending on experience. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Job Responsibilities: Develop forecasting models to support operational and business planning. Analyze large datasets to identify trends, performance indicators, and predictive insights. Build and validate machine learning models to strengthen data-driven decision-making. Collaborate with cross-functional partners to translate findings into practical recommendations. Create clear data visualizations and summaries for leadership and stakeholder presentations. Maintain and refine existing analytical models based on changing business needs. The internal responsibilities will be as follows: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material. (Blogs, media material). Build out material to contribute to Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required qualifications and skills Strong proficiency with Python for data analysis and model development. Experience building statistical and forecasting models. Experience with machine learning techniques and model validation practices. Ability to translate analytical results into clear business recommendations. Experience handling large-scale datasets and structured data workflows. Preferred qualifications and skills Background in operational analytics or performance optimization. Familiarity with data visualization tools for reporting and presentations. Experience working within large or enterprise environments. Education Bachelor's degree in a relevant field or equivalent work experience required. Company description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit *************************** to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at ********************** and let us know the nature of your request and your contact information. Additional info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your data science expertise to help the client conduct training assessments and after actions based on data generated during live, virtual and constructive training. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to increase technical and tactical expertise of Marine Corps units. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used to improve Marine Corps training readiness. Work with us as we use data science for good. Join us. The world can't wait. You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with statistical and general-purpose programming languages for data analysis * 5+ years of experience analyzing structured and unstructured data sources * Experience developing predictive data models, quantitative analyses and visualization of targeted data sources * Experience leading the development of solutions to complex programs * Experience with natural language processing, text mining, or machine learning techniques * Secret clearance * Bachelor's degree Nice If You Have: * Experience working with Marine Corps Live, Virtual and Constructive Training Systems * Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. * If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. * If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Adjust equipment to ensure optimal performance. Clean equipment, parts, or tools to repair or maintain them in good working order. Clean work areas. Dry-wall work. Disassemble equipment for maintenance or repair. Basic HVAC work and repairs. Inspect mechanical equipment to locate damage, defects, or wear. Install electrical components and equipment. Maintain work equipment or machinery. Measure distances or dimensions. Operate welding equipment. Paint surfaces or equipment. Preventive maintenance to guest rooms. Repair electrical circuits or wiring. Repair structural components. Train others in operational procedures. Troubleshoot equipment or systems operation problems.

We're looking for a seasoned Engineer that's savvy with preventative maintenance and ongoing repairs to ensure our hotel is safe and comfortable for guests and our team! ABOUT ARRIVE PALM SPRINGS Located in the Uptown Design District, ARRIVE Palms Springs is a striking design and architectural landmark, honoring the city's rich modernist legacy. Our 32-room boutique hotel features bright, residential-style guest rooms, a 42-foot long pool and hot tub, firepits, bocce ball, ping pong tables, and a poolside restaurant and bar serving refreshing cocktails and California-centric classics. If you're passionate about creating genuine connections, thrive in a dynamic hospitality environment, and find joy in elevating guest experiences, we invite you to join our team at ARRIVE Palm Springs! THE TASK AT HAND: Conducting ongoing room inspections to identify repair needs Installing or repairing sheet rock and other wall coverings Painting and painting touch-ups as needed throughout the property Installing and repairing basic electrical fixtures, from replacing light switches to swapping lightbulbs Repairing fixtures and furniture Installing, replacing, and programing televisions Performing minor plumbing functions Replacing and repairing heating and cooling pumps as well as preventative maintenance on HVAC units Tracing and repairing all types of water lines Troubleshooting and repairing kitchen equipment Maintaining repair and preventive maintenance records while following service recovery guidelines Adhering to work to local, state and Federal codes while performing all building maintenance needs. Supporting the operations team and completing some House Person functions in the event of staffing shortages or busy periods. Practicing safe work habits by wearing protective safety equipment and complying with MSDS and OSHA standards Helping to ensure overall guest satisfaction Working a flexible schedule based on hotel occupancy or emergency repair needs WHAT WE'RE LOOKING FOR: A positive, upbeat attitude and a passion for building maintenance A collaborative team member that's happy to pitch in, support coworkers, and try things differently if the situation calls for a quick pivot. A good communicator Top-notch organization skills and the ability to prioritize projects The ability to safely work throughout a shift. Tasks may include walking, standing, bending, and lifting supplies up to 50lbs. Comfort in a fast-paced environment 5+ years of experience in general repair and building maintenance Professional skilled trade licensing in plumbing & electrical preferred, but not required A flexible work schedule as weekend and holiday shifts may be required from time to time Requires mobility and prolonged standing, walking, bending and lifting up to 50 lbs Extensive knowledge of AC systems & refrigeration WHAT'S IN IT FOR YOU: A competitive compensation package including medical, dental, vision, and life insurance. 401(k) retirement plan (future you will love this one!) Paid time off, holiday pay, and sick pay when you're under the weather. Career advancement in an organization committed to helping star employees thrive. There's also an opportunity to expand your career trajectory as we are a fast-growing company with hotels and restaurants in multiple cities. Professional development that sets you up for success across multiple hospitality career paths. A collaborative work environment where your creative ideas can come to fruition. Amazing employee discounts on hotels and dining across our entire portfolio (18 hotels and more to come!) Hands-on training with a nimble team. Palisociety is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. Palisociety does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state, or local laws. Privacy Notice: For information on the California Consumer Privacy Act of 2018 (“CCPA”), California Privacy Rights Act of 2020 (“CPRA”), and other California privacy laws, please go to the Palisociety Careers page at ******************* and ******************** to view the notice. For more information, visit ******************* or follow @palisociety For more information, visit lepetitpali.com or follow @lepetitpali For more information, visit ******************** or follow @arrivehotels We are an E-Verify Employer/Somos un empleador de E-Verify.

Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues with little to no supervision. Perform preventive maintenance on tools and equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment. Maintain maintenance inventory and requisition parts and supplies as needed. Assure each day's activities and problems that occur are communicated to the other shifts using approved communication programs and standards. Display advanced ability to read standard blue prints and electrical schematics concerning plumbing and HVAC. Display above average engineering operations skills and strong general mechanical ability. Display proficiency in at least three of the following categories, above average skills in three more of the following categories and basic skills in the remaining categories: air conditioning and refrigeration, electrical, mechanical, plumbing, pneumatic/electronic systems and controls, carpentry and finish skills, kitchen equipment, vehicles, energy conservation, and/or general building management. Display solid knowledge and skill in the safe use of hand and power tools and other materials required to perform repair and maintenance tasks. Safely perform highly complex repairs of the physical property, electrical, plumbing and mechanical equipment, air conditioners, refrigeration and pool heaters - ensuring all methods, materials and practices meet company standards and Local and National codes - with little or no supervision. Troubleshoot and perform repairs on all types of equipment (e.g., pump and motor replacement), plumbing (e.g., plunge toilets and unclog drains), electrical equipment including lamps, air conditioners, HVAC equipment, cosmetic items, extension cords, vacuum cleaners, internet devices, replace electrical switches and outlets, and program TV's. Use the Lockout/Tagout system before performing any maintenance work. Display advanced knowledge of all engineering computer programs related to preventative maintenance, energy management, and other systems, including devices that interact with such programs. Perform advanced troubleshooting of hotel Mechanical, Electrical, and Plumbing (MEP) systems. Display the ability to train and mentor other engineers as necessary. Display ability to perform Engineer on Duty responsibilities, including readings and rounds. Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications; and properly store flammable materials. Ensure uniform and personal appearances are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests' service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Adhere to quality expectations and standards. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Speak with others using clear and professional language. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and heavier lifting or movement tasks with assistance. Move up and down stairs, service ramps, and/or ladders. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Enter and locate work-related information using computers. Perform other reasonable job duties as requested. PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D. equivalent and vocational or technical background. Related Work Experience: Extensive experience and training in general maintenance, electrical or refrigeration, parts inventory and requisition, exterior and interior surface preparation and painting. At least 2 years of hotel engineering/maintenance experience. Supervisory Experience: No supervisory experience. License or Certification: Valid Driver's License REQUIRED QUALIFICATIONS Universal Chlorofluorocarbon (CFC) Certification Must meet applicable state and federal certification and/or licensing requirements. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. Marriott International considers for employment qualified applicants with criminal histories consistent with applicable federal, state and local law.

What you will be doing Efficiently and safely operate central HVAC equipment and mechanical equipment using sound engineering practices and specified corporate operating procedures. Accurately and efficiently repair and maintain food production and related kitchen equipment, laundry equipment, ice machines and refrigeration systems, boilers and plumbing systems and all electrical and natural gas distribution systems. Trouble-shoot electrical and pneumatic problems and repair them as quickly and economically as possible. Perform preventive and predictive maintenance on an on-going basis. The hourly rate for this position ranges from $17-20, depending on experience and qualifications.

What you will be doing Efficiently and safely operate central HVAC equipment and mechanical equipment using sound engineering practices and specified corporate operating procedures. Accurately and efficiently repair and maintain food production and related kitchen equipment, laundry equipment, ice machines and refrigeration systems, boilers and plumbing systems and all electrical and natural gas distribution systems. Trouble-shoot electrical and pneumatic problems and repair them as quickly and economically as possible. Perform preventive and predictive maintenance on an on-going basis. The hourly rate for this position ranges from $17-20, depending on experience and qualifications.

The 444-room Rancho Las Palmas Resort & Spa is classic Rancho Mirage re-imagined for the 21st-century traveler. Our luxurious Palm Springs hotel rooms surround you in Spanish Colonial-inspired style and a soothing desert palette of beige, sand, and ivory. With plenty of space for your peace and your quiet, you'll also open French doors to your very own private patio or balcony where the warm desert air and breathtaking views await. Omni Rancho Las Palmas Resort and Spa's associates enjoy a dynamic and exciting work environment, comprehensive training and mentoring, along with the pride that comes from working for a company with a reputation for exceptional service. We embody a culture of respect, gratitude and empowerment day in and day out. If you are a friendly, motivated person, with a passion to serve others, the Omni Rancho Las Palmas may be your perfect match. Job Description The Engineer 2 is a valuable member of the Resort's Engineering Team dedicated to ensuring our Resort is in working order at all times. The Engineer 2 diagnoses problems, performs repairs and completes preventive maintenance tasks throughout the Resort according to Omni standards and with “intermediate” proficiency. Responsibilities Assist hotel guests with any guest room maintenance issues (plumbing, lighting, electrical, painting, etc) Perform preventative maintenance responsibilities on all guest rooms as assigned Maintain all mechanical items in guest rooms and public areas. Work as a team to keep the back of house areas and equipment in safe, good working order. Clean all work areas after completing job. Assists mechanics and external contractors in repairs of hotel property and equipment. Completion of all assigned work orders and daily tasks. Receive direction for house calls via radio. Be familiar with all hotel amenities and hotel facilities To be familiar with the inter-relationship between the different departments (to include PBX, Guest Services, Housekeeping, F&B outlets, Banquets, Sales, Engineering and Purchasing) Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions; complete safety training and certifications. Follow all company policies and procedures; ensure clean uniform and professional personal appearance; maintain confidentiality of proprietary information; protect company assets. Effectively operate computer, two way radio, power and hand tools required to complete responsibilities. Deliver personalized, memorable guest experiences by utilizing the Power of One Perform other duties | special projects as assigned by Engineering Management Qualifications Excellent customer service and problem solving skills EPA certificate holder preferred 1-2 years previous maintenance experience required Prior building maintenance experience and/or relevant techinical training required. Related Hotel/Resort experience preferred Must possess painting, basic plumbing, basic electrical, minor carpentry, lighting and computer skills. Must be willing to work based on business levels and occupancy levels. Must be able to work AM, PM, weekend and holiday shifts. Walk, stand, climb, bend, reach over-head, squat and kneel for long periods at a time, as the position requires constant motion. Crawling for short periods of time. Move, lift, carry and push items weighing up to 50-100lbs without assistance. Candidates must be able to utilize step stools and ladders effectively. Pay: $22.00/hour. The pay scale provided is a range that Omni Hotels & Resorts reasonably expects to pay. Actual compensation offered may fluctuate based on a candidate's qualifications and/or experience. Omni Hotels & Resorts is an equal opportunity/AA/Disability/Veteran employer. We will consider qualified applicants with criminal histories in a manner consistent with the CA Fair Chance initiative for hiring. The EEO is the Law poster and its supplement are available using the following links: EEOC is the Law Poster and the following link is the OFCCP's Pay Transparency Nondiscrimination policy statement If you are interested in applying for employment with Omni Hotels & Resorts and need special assistance to apply for a posted position, please send an email to applicationassistance@omnihotels.com