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Job Title: Principal Mechanical Design Engineer Job Family: Mechanical Design Engineering Organization: Data Center Infrastructure Team Location: Remote* OR Austin, TX *Requires up to 20% domestic and/or international travel (rare) How will you make an impact? We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards. What will you do? * Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications. * Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems. * Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure. * Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS). * Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads. * Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability. * Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection. * Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability. * Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements. * Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts * Select appropriate materials and fabrication methods to optimize cost, performance, and reliability * Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components. * Lead mechanical design reviews and contribute to cross-functional design validation efforts. * Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs). * Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization. * Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met. * Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing. * Conduct root cause analysis and corrective actions for mechanical failures or field issues. * Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers). * Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH) * May perform other duties and responsibilities as assigned How will you get here? Education: * Bachelor’s Degree in Mechanical Engineering or related engineering discipline. Experience: * 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment. * Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus). * Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must * Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required * Excellent communication and cross-functional collaboration skills Knowledge, Skills, Abilities: * Excellent interpersonal and communication skills * Creative, self-motivated, accountable, and team-oriented * Able to work independently with minimal oversight * Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations * Skilled in writing reports, business correspondence, and procedural guides * Effective at presenting information and responding to management, clients, and public queries * Capable of influencing others and sharing best practices * Comfortable working as part of a global team * Capable of assessing projects, articulating risks, and developing project milestones * Familiar with stage-gate processes in project lifecycle management (PLCM) * Able to mentor less experienced engineers * Ability to travel both domestically and internationally up to 30% Preferred Qualifications: * Master’s Degree in Mechanical Engineering * Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products. * Active Professional Engineer (PE) license. * Knowledge of regulatory and safety standards applicable to data center infrastructure. * Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus

This position supports hybrid work schedule depending on organization needs. How will you make an impact? We are looking for a Principal Thermal Rack Engineer within the Intelligent Infrastructure Segment to drive advanced cooling solutions for high-performance computing systems. This role involves incorporating thermal components such as direct liquid cooling (DLC) systems, coolant distribution units (CDUs), and manifolds into network and server racks (EIA 19” and ORv3). You will leverage CFD tools to perform rack and system-level thermal and fluid analysis, ensuring optimal flow distribution, pressure drop, and temperature performance. Additionally, you will create 3D CAD designs for seamless hardware integration, lead validation testing, and resolve thermal or flow issues through root cause analysis and corrective actions. Collaboration with cross-functional teams, customers, and global vendors is essential to align thermal architectures with overall system design and international standards. What will you do? • Lead the end-to-end integration and testing of rack thermal solutions, including liquid cooling systems in varying form factors and product lines., • Use CFD tools (FloTherm or Macroflow) to perform switch, rack, and system-level thermal/fluid analysis (flow distribution, pressure drop, and temperature profiling)., • Design and optimize thermal components using 3D CAD (Creo or SolidWorks) to support seamless hardware integration and testing., • Participate in customer engagements and site visits to understand and document deployment constraints and gather feedback for design improvements., • Partner with factory teams to ensure racks are built with proper airflow, hose routing, and thermal safeguards, while establishing best practices that improve build consistency across deployments., • Collaborate with Architects/Compliance/Reliability and global vendors to align thermal architectures with total system design and international data center/thermal/mechanical standards (e.g., UL, OCP, ASHRAE, ISTA, ASTM, NEBS)., • Conduct thermal, mechanical, and reliability testing, analyzing airflow, coolant flow rates, pressure drops, and structural integrity to ensure compliance with the end-users’ specifications., • Develop and maintain design documentation including BOMs, wetted materials compliance, test plans, and engineering change orders (ECOs)., • Manage relationships with mechanical/thermal component vendors to build out a robust partner ecosystem consisting of racks, CDUs, hoses, manifolds, QDs, and cold plates., • Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (e.g., in-row cooling, in-rack cooling, rear door heat exchangers)., • Conduct root cause analysis and corrective actions for mechanical and thermal failures or field issues., • May perform other duties and responsibilities as assigned. How will you get here? Education: • Bachelor’s Degree in Mechanical/Thermal Engineering, Systems Engineering, or related field is required Experience: • Minimum of 7+ years of experience in thermal/mechanical systems integration, • 3+ years of specific experience in rack-scale thermal design and analysis, • Strong understanding of mechanical systems, integration strategies, and large-scale program management, • Familiarity with server design, heatsinks, cold plates, hoses, and blind-mate connectors, • Proficiency in CFD simulation (e.g. ANSYS, 6Sigma, etc.) and 3D modeling software (e.g. SolidWorks, Creo), • Hands-on experience with thermal chambers, fans, and coolant, • Excellent English communication skills (verbal and written) with strong technical leadership capabilities Knowledge, Skills, Abilities: • Excellent interpersonal and communication skills, • Creative, self-motivated, accountable, and team-oriented, • Able to work independently with minimal oversight, • Capable of assessing projects, articulating risks, and developing project milestones, • Skilled in writing reports, business correspondence, and procedural guides, • Effective at presenting information and responding to management and customers, • Capable of influencing others and sharing best practices, • Familiar with stage-gate processes in project lifecycle management (PLCM), • Ability to travel both domestically and internationally up to 30% Preferred Qualifications: • Master’s Degree in Mechanical Engineering, Systems Engineering or related field is preferred, • Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products., • Active Professional Engineer (PE) license preferred., • Hands-on experience with prototype fabrication and testing; experience working with global suppliers and contract manufacturers a plus. About Jabil’s Intelligent Infrastructure Group: • Headquartered in Austin, TX, with a flagship facility located near The Domain and the Austin FC stadium, • Growing rapidly, with a team of more than 100 employees in Austin (500+ worldwide) and significant expansion planned through 2026, • Generated over $12 billion in FY25 revenue, driven largely by partnerships with major hyperscale customers, • Delivers cutting‑edge engineering, supply chain, and manufacturing solutions that power the world's AI infrastructure and global data center ecosystems As part of the total rewards package, this position is eligible for: • Annual bonus opportunity, • Medical, dental, and vision insurance plans, • Paid time off (PTO), • 4 weeks of paid parental leave, • 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly, • 401(k) retirement plan, • Employee stock purchase plan

Austin's AC Repair & Heating Experts Yellowstone Local is proud to represent ABA Heating and Cooling, an industry leader in residential HVAC services. You are the technician homeowners rely on to diagnose problems accurately, deliver real solutions, and turn every service call into long-term value. What’s in it for You? * $59,000 to $100,000 per year earning potential * Hourly, commission, and bonus pay structure * $2,500 sign on bonus after 1 year of employment * Medical benefits * 401k with matching * Paid holidays and PTO * Take-home truck * Company uniforms * Specialty tools provided * Continued education and job training opportunities * Family medical leave * Open door leadership approach * Clear opportunities for promotion from within Why You’ll Love It Here * Established HVAC company serving the Austin community since 1994 * Team environment built on honesty, accountability, and reliable service * Leadership focused on technician growth and ongoing development * Clear communication and a supportive, team-first culture * Reputation for high-quality workmanship and customer satisfaction Your New Role * Perform residential HVAC diagnostics, repair, service, and maintenance across Austin, Texas and surrounding areas * Accurately diagnose system issues and deliver effective, long-term repair solutions * Repair or replace components including compressors, motors, thermostats, and fans * Troubleshoot airflow issues, refrigerant leaks, and system performance problems * Calibrate and program HVAC systems for optimal efficiency and operation * Present repair options to customers and provide clear, confident recommendations * Generate system replacement leads and support turnover to the sales team * Identify opportunities to offer ductwork improvements and indoor air quality solutions * Maintain accurate documentation of work performed, parts used, and customer interactions * Maintain a clean, organized service vehicle and proper truck stock inventory * Coordinate with sales and installation teams to ensure seamless job execution * Assist with ductwork sizing, design, and material ordering as needed * Participate in a rotating on-call schedule, including evenings and weekends, with service calls running as late as 9:30 PM * Maintain punctuality, including first call readiness and weekly team meetings * Contribute to team performance goals through high-quality work, low callback rates, and effective service recommendations * Continuously improve technical skills and product knowledge Hiring Expectations: Apply today, complete a quick phone screening, and get ready for an interview with our team to discuss your goals and experience. * Minimum 2 years of HVAC repair experience in residential, light commercial, apartment maintenance, or facilities maintenance environments * EPA Type 2 certification or higher * Valid driver’s license with a clean driving record * Ability to pass a background check * Willingness to work a rotating on-call schedule including evenings and weekends * Availability to start within 2 weeks * Ability to communicate professionally with customers and present repair solutions * Willingness to generate leads and support sales opportunities * Ability to work extended hours as needed, with service calls running as late as 9:30 PM * Familiarity with Bryant, Mitsubishi, and similar HVAC systems preferred * Ability to configure and program HVAC equipment preferred ABA Heating and Cooling is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status. #yellow

We are looking for a Senior Data Engineer to join Procore Data team. In this role, you will be responsible for building the data architecture that connects Procore's global ecosystem. You will work across diverse domains to create a unified, high-fidelity view of our customers, projects, and users. This is a "Data Engineering first" role that leverages AI and Machine Learning to solve complex Entity Resolution challenges. You will use the modern data stack to transform fragmented data from across the enterprise into a cohesive, intelligent data foundation that powers our global strategy. What you'll do: * Develop and maintain scalable ETL pipelines using Apache Spark. You will implement partitioning strategies and apply performance tuning techniques while utilizing modern open table formats like Delta Lake and Apache Iceberg to manage data consistency * As a Senior Data Engineer, you will drive engineering excellence through code reviews, mentorship, and the implementation of CI/CD best practices for data. * Develop and deploy AI/ML models and probabilistic matching logic to link and deduplicate entities across disparate business domains. * Design canonical data models that provide a 360-degree view of the enterprise, ensuring that a "Customer" in Sales matches the "Customer" in our Product and Marketing engines. * Implement AI-driven workflows to automatically clean, normalize, and enrich enterprise records, ensuring that our customers are working with the most accurate information possible. * Architect complex, modular data transformations, ensuring that the "logic layer" of our data stack is robust, testable, and highly performant. * Manage sophisticated, multi-stage workflows in Airflow, integrating Python-based scripts directly into the data lifecycle. What we're looking for: * Bachelor's degree in Computer Science or a similar technical field of study * 4+ years of technical experience in a Data or Software Engineering role. * Ability to write complex analytical queries and production-grade Python code. * Strong experience with Databricks, Airflow, Spark, AWS, Gitlab. * Experience developing lightweight data services using Python frameworks (e.g., FastAPI, Flask) and integrating with external REST APIs. You understand how to handle authentication, rate limiting, and robust error handling. * Practical experience using AI techniques (e.g., record linkage, fuzzy matching, or LLM-based classification) to solve data quality and identity problems. Base Pay Range: 140,960.00 - 193,820.00 USD Annual Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

ICON is seeking a Senior Software/Data Engineer I to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping, developing, and scaling ICON's enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company. You will not just build pipelines. Instead, you will be architecting the Digital Twin of an industrial robotics and construction company. You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases. Use cases will range from real-time reporting and analytics to AI/ML-driven operational workflows and decision-making. This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON's headquarters in Austin, TX and reports to the Senior Director of Operations. Responsibilities • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines in Palantir Foundry (and supplemental tools) to integrate data from enterprise systems (NetSuite, Workday, etc.) and external sources. Ensure pipelines are efficient and fault-tolerant, handling large data volumes from manufacturing and field operations (e.g. IoT sensor feeds)., • Data Modeling & Ontology: Develop and refine data models that organize enterprise data into meaningful structures. Leverage Foundry's ontology features to define business objects (e.g. Customers, Work Orders, Inventory Items) and ensure data is linked in a way that reflects real-world relationships. Continuously improve these models for new business requirements - for instance, adding new attributes or new object types as we launch new programs., • Data Quality & Governance: Implement data validation and quality checks in pipelines to ensure data accuracy and consistency. Monitor pipeline runs and set up alerts for anomalies or failures. Work with the team to enforce data governance policies (who owns which data, access controls, compliance needs) within Foundry and downstream systems., • Cross-Functional Support: Collaborate with Data Analysts and business stakeholders to understand their data needs and optimize data outputs for analysis. For example, if Finance needs a specific revenue recognition report, ensure the pipeline provides the needed granularity. Provide ad-hoc data expertise to troubleshooting data issues or generating one-time analyses., • Performance Optimization: Profile and tune data pipelines for performance. Optimize query logic, pipeline configuration, and resource usage so that data refreshes and analytics can occur in a timely manner (especially as data volumes grow with company expansion). Manage scheduling and orchestration of jobs to meet SLAs for data availability (e.g. daily financial report refresh by 8 AM)., • Integration with Systems: Work closely with Systems Architects to coordinate how data flows tie into system integrations. For example, if a new API integration is bringing in a type of data, design the pipeline to ingest that data and join it with relevant datasets for analytics. Provide input on what data transformations could happen in-flight vs. in Foundry to maximize efficiency., • Tooling & Innovation: Contribute to developing internal tools or scripts to improve our data engineering workflow. This could include scripts for automating data deployments, custom plugins in Foundry, or using open-source frameworks (where applicable) to complement Foundry's capabilities. Also evaluate new features in Foundry and emerging data technologies to keep our stack modern., • 7+ years of experience in data engineering or ETL development, handling large-scale datasets and complex pipelines. Strong foundation in data integration concepts and database design., • Advanced Python skills for data processing (Pandas, etc.) and scripting, as well as solid SQL skills for querying and transforming data. Experience with PySpark or similar distributed data frameworks is a plus (Foundry uses Spark under the hood for big data)., • Experience building pipelines with enterprise data from systems like ERP, CRM, HRIS, or IoT sources. Familiar with different data formats (JSON, CSV, XML) and methods of extracting data (REST APIs, webhooks, database connectors)., • Hands-on experience with a modern data platform or pipeline orchestration tool. Experience with Palantir Foundry is a strong plus, but experience with alternatives (e.g. AWS Glue, Azure Data Factory, Databricks, Airflow, dbt, etc.) is acceptable if coupled with ability to learn Foundry quickly., • Solid understanding of data modeling principles (relational schemas, star/snowflake schemas for analytics, normalization vs. denormalization tradeoffs). Ability to design schemas and data transformations that meet analytics requirements efficiently., • Problem-solving and debugging skills: Able to investigate data discrepancies across systems, troubleshoot pipeline failures, and optimize slow queries., • Attention to detail and commitment to data quality - recognizes the downstream impact of data issues and proactively puts checks in place., • Good communication skills and ability to work with end users (analysts, managers) to clarify requirements. Comfortable explaining technical concepts to non-technical stakeholders when necessary., • Prior experience in a manufacturing or logistics environment where you dealt with IoT data, sensor streams, or other high-volume operational data. Understanding the nuances of such data (e.g. time-series data management) can be useful., • Familiarity with cloud data architectures (AWS or Azure data services) as Foundry operates in cloud environments. Knowledge of storage services (S3, ADLS), data warehousing (Snowflake, Redshift), and how they integrate with pipeline tools., • Experience with business intelligence tools or practices - able to appreciate how data will be used in dashboards or analytics so you can better tailor data outputs (experience with tools like Tableau, Power BI, or Foundry's Contour/Quiver dashboards)., • Knowledge of DevOps and CI/CD for data pipelines - using version control (Git), and deploying code in a controlled, automated way. Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON. As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.

___Austin's AC Repair & Heating Experts Yellowstone Local is proud to represent ABA Heating and Cooling, an industry leader in residential HVAC services. If you are an HVAC Service Technician who takes pride in diagnosing problems, solving them the right way, and delivering excellent customer service, this is where your skills can thrive. * $59,000 to $100,000 per year earning potential * Hourly, commission, and bonus pay structure * $2,500 sign on bonus after 1 year of employment * Medical benefits * 401k with matching * Paid holidays and PTO * Take home truck * Company uniforms * Specialty tools provided * Continued education and job training opportunities * Family medical leave * Open door leadership approach * Clear opportunities for promotion from within * Established HVAC company serving the Austin community since 1994 * Team environment focused on honesty, ethical service, and reliability * Leadership committed to technician development and ongoing training * Regular performance reviews that support career growth * Transparent communication and a supportive workplace culture * Company reputation built on exceptional workmanship and customer service * Perform residential HVAC service, diagnostics, repairs, and maintenance throughout Austin, Texas * Travel within the greater Austin area to residential and light commercial locations * Conduct diagnostic testing and inspections to identify HVAC system issues * Repair or replace faulty HVAC components including compressors, motors, thermostats, and fans * Perform routine HVAC maintenance such as filter cleaning, lubrication of moving parts, and electrical inspections * Calibrate and program HVAC systems to support optimal performance and energy efficiency * Troubleshoot heating and cooling system malfunctions including airflow issues, refrigerant leaks, and temperature regulation concerns * Assess the overall condition of the client HVAC system and develop a case for replacement when applicable * Generate replacement leads and help facilitate turnover appointments for a sales specialist to present replacement options * Accurately document diagnostic findings, repairs completed, parts used, and customer interactions * Follow all HVAC safety standards and industry regulations while completing service work * Maintain a professional and customer focused approach when communicating with clients * Participate in ongoing HVAC training and professional development Hiring Expectations: Apply today, complete a quick phone screening, and get ready for an interview with our team to discuss your goals and experience. * Valid driver license with no restrictions * EPA Type 2 certification * Ability to register as a technician with the Texas Department of Licensing and Regulation TDLR * Advanced knowledge of electricity and refrigeration systems * Minimum 2 years of full time HVAC service experience * HVAC schooling preferred but not required * Ability to pass a background check * Authorization to work in the United States ABA Heating and Cooling is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status. #yellow

Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance. As a Staff Software Engineer, Airflow, you will be a key technical leader, responsible for the architecture, technical vision, and strategic evolution of the Apache Airflow-based workflow orchestration platform within the company's data ecosystem. You will be expected to solve the most complex, ambiguous, and high-impact technical problems that span multiple teams or organizational boundaries. As a Staff Software Engineer you will: * Technical & Architectural Leadership: Drive the multi-quarter technical roadmap and architecture for the Airflow platform, ensuring it is secure, highly scalable, reliable, and cost-efficient for enterprise-grade workloads. * Complex Problem Solving: Design and implement solutions for the most challenging technical issues, such as extreme scale, multi-tenancy isolation, complex scheduling, and hybrid/multi-cloud deployment models. * Cross-Functional Impact: Collaborate closely with product management, principal engineers, and other platform teams (e.g., Spark, Kubernetes) to define and deliver core orchestration capabilities that influence the entire data platform. * Engineering Excellence: Define and champion best practices, performance optimization, and quality standards (observability, testing, and fault tolerance) for the Airflow service and its integrations. * Mentorship: Mentor senior and junior engineers on complex technical design, best practices, and execution, elevating the overall technical capacity of the team and organization. * Open Source: Maintain significant contributions and influence within the Apache Airflow open-source community, aligning the project's roadmap with product strategy. We are excited if you have (Required Qualifications): * Bachelor's degree in Computer Science or equivalent, and 6+ years of experience * Deep Airflow Expertise: Deep, hands-on knowledge of Apache Airflow internals (scheduler, executor, serialization, REST APIs) and complex DAG authoring/optimization. * Programming: Mastery in Python, some Java experience and extensive experience with core data platform technologies and cloud-native deployments (e.g., Kubernetes, Cloud Composer, AWS/GCP/Azure). * Systems Thinking: Demonstrated ability to drive design and architectural decisions with a focus on non-functional requirements (security, performance, high availability, fault tolerance). * Leadership: Proven ability to lead and drive technical projects across multiple teams without direct reporting authority. You may also have: * Experience defining the architecture for multi-tenant, service-oriented data platforms. * Significant contributions to Apache Airflow or related open-source projects. * Background in performance tuning and profiling large-scale Python and distributed applications. * Familiarity with data governance and security frameworks (e.g., Ranger, Kerberos) and their integration with workflow orchestration. Why this role matters: You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling. Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-BV1 #LI-REMOTE

Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. Cloudera is looking for a Senior Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera's next-generation AI and machine learning platform. You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale. This role requires an empathetic mindset and close collaboration with frontend / web UI engineers, data scientists, designers, and product management. We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth. Read about the Forrester Wave Report on Cloudera's Machine Learning offerings ___. As a Senior Software Engineer you will: * Help build the leading platform for AI and Machine Learning in the enterprise. * Design, code, and implement elegant, scalable, enterprise-quality AI application services powered by machine learning models. * Work to enhance developer velocity and team agility. * Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners. We are excited if you have (Required Experience): * 5+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java. * Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure. * Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.). * Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes. * Demonstrate ability to go deep into technology and complex distributed systems. * Experience in crafting high level and low level design. * Experience building scalable, robust and secure enterprise applications. * Self-driven and motivated, with a strong sense of ownership and craftsmanship. * Strong written and verbal communication skills. You may also have: * Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc. * Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.). * Experience building and deploying Generative AI applications. * Full stack experience with React, HTML, CSS. * Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience with AI/ML orchestration software (Kubeflow, KServe, Knative) * Experience using Big Data technologies like Spark, Hive etc. * Proven track record of collaborating with agile teams across geographically dispersed locations Why this role matters: This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data. We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-BV1 #LI-HYBRID

Job Posting Title: Data Engineer Manager Hiring Department: Dell Medical School Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: Exempt Earliest Start Date: Immediately Position Duration: Expected to Continue Location: AUSTIN, TX Job Details: The Data Engineer Manager leads a team of data engineers responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support clinical, operational, and financial analytics across the healthcare system. This role collaborates closely with data scientists, software engineers, business intelligence analysts, and clinical informatics teams to ensure data is accessible, accurate, and secure. Reporting to the Director of Data Systems and Analytics, the position plays a critical role in enabling data-driven decision-making and innovation in a complex healthcare environment. Data Architecture & Pipeline Management * Designs and oversees scalable data pipelines for structured and unstructured data across clinical, operational, and financial systems. * Manages ETL/ELT processes using tools such as Apache Spark, Kafka, Airflow, and other modern orchestration platforms. * Ensures data integrity, availability, and performance across cloud and on-premise platforms. * Implements and maintains data lake and warehouse solutions (e.g., Snowflake, BigQuery, Redshift). * Collaborates with infrastructure and application teams to optimize data flow and storage. Team Leadership & Development * Recruits, mentors, and manages a team of data engineers, fostering a high-performance and inclusive team culture. * Conducts performance evaluations, sets development goals, and supports career progression. * Promotes collaboration, innovation, and continuous learning through team meetings, code reviews, and knowledge-sharing sessions. * Aligns team goals with organizational priorities and strategic initiatives. * Ensures adherence to engineering best practices and coding standards. Stakeholder Collaboration & Requirements Gathering * Works closely with clinical, operational, and financial stakeholders to define data needs and translate business requirements into technical specifications. * Facilitates cross-functional communication between IT, analytics, clinical informatics, and business intelligence teams. * Leads discovery sessions and data mapping exercises to ensure alignment between data engineering deliverables and business objectives. * Supports the development of dashboards, reports, and predictive models by enabling access to clean, well-structured data. Data Governance & Compliance * Ensures adherence to HIPAA, HITECH, and internal data governance policies, including data privacy and security protocols. * Implements data security measures, access controls, and encryption standards across all data platforms. * Supports audit readiness and regulatory reporting by maintaining accurate metadata and lineage documentation. * Collaborates with data governance and compliance teams to establish and enforce data quality standards. Strategic Planning & Innovation * Contributes to the development and execution of the enterprise data strategy and roadmap. * Evaluates emerging technologies and recommends adoption to improve scalability, performance, and cost-efficiency. * Aligns data engineering initiatives with strategic goals of the healthcare system, including population health, value-based care, and operational excellence. * Participates in long-term planning for data infrastructure modernization and cloud migration. Budget & Resource Management * Manages the data engineering team's operational budget, including software licenses, cloud services, training, and professional development. * Tracks resource utilization and optimizes operational efficiency through capacity planning and workload balancing. * Supports vendor selection, contract negotiations, and license renewals for data platforms and tools. * Provides input into capital planning and technology investment decisions. Marginal or Periodic Functions: * Participates in enterprise-wide data governance committees. * Presents at internal and external conferences or forums. * Assists in grant writing or research data infrastructure proposals. * Conducts periodic system performance audits. * Adheres to internal controls and reporting structure. * Performs related duties as required. Manages Complexity * Breaks down ambiguous problems into manageable components. * Uses multiple data sources to inform decisions. * Designs scalable solutions for evolving data needs. Tech Savvy * Evaluates and integrates new tools (e.g., cloud platforms). * Encourages experimentation and innovation. * Maintains fluency in modern data engineering stacks. Collaborates * Facilitates cross-functional meetings. * Resolves conflicts constructively. * Shares credit and fosters team cohesion. Plans and Aligns * Develops clear project plans and milestones. * Communicates expectations effectively. * Adjusts plans based on feedback and performance. Ensures Accountability * Tracks progress and outcomes. * Provides timely feedback. * Establishes clear roles and responsibilities. Strategic Mindset * Anticipates future data needs. * Aligns technical decisions with business strategy. * Identifies long-term opportunities for data innovation. Bachelor's degree in Computer Science, Information Systems, or related field. 10 years of experience in data engineering or data architecture including designing data architectures, developing data pipelines, implementing data quality, and performance monitoring. 2 years of experience in a technical leadership or team lead role with a track record of delivering complex data projects and mentoring junior engineers in a fast-paced department. Experience in healthcare data systems (e.g., EHR, claims, HL7, FHIR).Relevant education and experience may be substituted as appropriate. Master's degree in Data Science, Engineering, or Healthcare Informatics. 7+ years of progressive experience in data engineering. Experience with cloud platforms (e.g., GCP, AWS, Azure). $135,000+ depending on qualifications Standard office conditions. * Resume/CV * 3 work references with their contact information; at least one reference should be from a supervisor * Letter of interest Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an ___,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original ___ to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • ___ [PDF], • ___ [PDF], • ___ [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in ___. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may ___ or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Posting Title: Lead Data Engineer Hiring Department: Enterprise Technology - Data to Insights (D2I) Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: Exempt Earliest Start Date: Immediately Position Duration: Expected to Continue Until Dec 19, 2026 Location: Texas Job Details: This is a fixed term position that is expected to continue for a 1-year limited term from start date with a possibility for extension. Flexible work arrangements are available for this position, including the ability to work 100% remotely. Remote work for individuals who reside outside Texas but within the United States and its territories will be considered and requires Central Office approval. This position provides life/work balance with typically a 40-hour work week and travel limited to training (e.g., conferences/courses). Enterprise Technology is dedicated to supporting the mission of the University of Texas at Austin of unlocking potential and preparing future leaders of the state. Your skills will make a difference. You'll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff. If you're the type of person that wants to know your work has meaning and impact, you'll like working for our campus. The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff. Those benefits include: * Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) * Vision, dental, life, and disability insurance options * Paid vacation, sick leave, and holidays * Teachers Retirement System of Texas (a defined benefit retirement plan) * Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) * Flexible spending account options for medical and childcare expenses * Training and conference opportunities * Tuition assistance * Athletic ticket discounts * Access to UT Austin's libraries and museums * Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: ___ and ___ Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. The Lead Data Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the useability and value of institutional data. You will lead senior data engineers and data engineers to create complex data pipelines within UT's cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT. You will leverage your creativity to solve complex technical problems and build effective relationships through open communication within the team and outside partners. • Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks,AWScloud-native services and modern data engineering frameworks., • Lead end-to-end implementation oflakehousedata pipelines, ensuring performance, reliability, and cost efficiency., • Championindustrybest practices for data engineering., • Conduct andparticipatein peer code reviews tomaintaincode quality and consistency across the team., • Proactivelyidentifyand resolve bottlenecks in data ingestion, transformation, and orchestration processes using Databricks Delta Live Tables, Spark optimizationtechniques, and workflow automation., • Implement systems for data quality, observability, governance, and compliance using tools such as Unity Catalog, Delta Lake, and data validation frameworks., • Lead technical knowledge-sharing sessions on topics such as AI/ML integration, datalakehousearchitecture, and emerging data technologies., • Define project milestones, timelines, and deliverables for data and AI initiatives, ensuringtimelyand high-quality outcomes., • Collaborate with both internal and external stakeholderssuch as data architects, system architects, business users, Agile teammembers, and other D2I internal groups., • Manage project priorities, sprint planning, and team workloads while balancing innovation with delivery., • Communicate risks, dependencies, and resource constraints effectively, and develop mitigation plans for on-time project delivery., • Supervise and mentor a team of Data Engineers (2-5 individuals) working on cloud, Databricks, and AI pipeline initiatives., • Foster a culture of continuous learning, experimentation, and technical excellence, encouraging engineers to explore AI and automation use cases., • Participate in recruiting, onboarding, and developing data engineering talent with strong Databricks and AI skillsets., • Conduct performance reviews, set development goals, and create individualized growth plans for team members., • Encourage collaboration across Data, AI/ML, Analytics, and Infrastructure teams to drive cross-functional success., • Provide regular updates on project progress, technical challenges, andprojectmilestones to both technical and business stakeholders., • Translate complex technical concepts related to Databricks, AI, and data architecture into clear narratives for non-technical audiences., • Foster a transparent communication culture and provide actionable feedback to promote a growth mindset., • Ensure all data engineering processes, architectures, and standards are well-documented for reuse, governance, andknowledgecontinuity., • Stay current with advancements in AI, data engineering, and Databricks ecosystem, evaluating new tools and frameworks for potential adoption., • Pilot and promote innovative solutions such as AI-assisted data quality checks, data observability automation, and intelligent pipeline optimization., • Perform other duties as assigned, contributing to the organization's data-driven and AI-enabled transformation., • Bachelor's orMaster's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience., • 5+ years of experience designing, implementing, andoptimizingcomplex, production-grade datapipelinesor enterprise-scale data platforms., • 5 years of experience in cloud-based data engineering using Databricks and Amazon Web Services (AWS) (e.g., Glue, S3, Lambda, Redshift)., • 3+ years of experience managing or leading teams of data and/or software engineers, including mentorship, performance management, and project delivery., • Expertisein Python,PySpark, and SQL, withstrongunderstanding of data modeling, stored procedures, and scalable data transformations., • Proven experience architecting and implementing ETL/ELT solutions across relational, non-relational, andlakehouseenvironments (e.g., Delta Lake, Parquet, or Iceberg)., • Experience designing and managing CI/CD pipelines andinfrastructureascode(IaC) using tools such as Databricks Repos, CDK, Terraform, or GitHub Actions., • Demonstrated knowledge of test-driven development (TDD) and data quality frameworks, ensuring reliability and reproducibility across data workflows., • Deep understanding of data governance, security, and compliance standards in cloud environments., • Excellent analytical, problem-solving, and debugging skills across distributed data systems., • Proven ability to communicate complex technical concepts clearly to both technical and non-technical audiences., • Experience supervising, mentoring, and guiding junior team members on technical and professional development. Equivalent combination of relevant education and experience may be substituted as appropriate. • 8+ years of experience in Data Engineering or related fields, including 5+ years of hands-on experience building andoptimizingdata pipelines on Databricks or similar large-scale data platforms., • Proven experience implementinglakehousearchitectures leveraging Databricks Delta Lake, Delta Live Tables, and Unity Catalog for governance and scalability., • Experience designing AI-ready data platforms and integrating machine learning pipelines using tools such asMLflowor model registry frameworks., • 3+ years of experience managing or leading cross-functional technical teams, fostering collaboration between Data Engineering, Analytics, and AI/ML teams., • 5+ years of experience with Agile software development methodologies and project tracking systems such as JIRA., • Expertisein distributed data processing and streaming frameworks, such as Apache Spark, Kafka, Flink, or Airflow, for orchestration and automation., • Strong familiarity with data observability, cost optimization, and performance tuning in Databricks and cloud-nativearchitecture., • Professional certifications such as Databricks Certified Data Engineer Professional or AWS Solutions Architector AWSData Analytics Specialty are highly desirable., • Demonstrated ability to introducenew technologiesand best practices to modernize existing data environments and promote AI/analytics maturity across the organization., • Passion for continuous learning and staying current with emerging technologies in data engineering, AI integration, and Databricks ecosystem advancements. $125,000 - $143,712 • May work around standard office conditions, • Repetitive use of a keyboard at a workstation, • Use of manual dexterity (ex: using a mouse), • Monday - Friday 8am-5pm; Occasional nights or weekends may be required, • Resume/CV, • 3 work references with their contact information; at least one reference should be from a supervisor, • Letter of interest Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an ___,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original ___ to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • ___ [PDF], • ___ [PDF], • ___ [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in ___. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may ___ or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Description We are a global law firm with a powerful strategic focus and real momentum. Our industry-focused strategy is seeing us take on pioneering work in places that others have yet to reach. Our shared values define our culture and our workplace. You will find us to be unusually collegial, team-oriented, and ready to innovate. We work seamlessly across practices, offices and around the world. This elimination of boundaries has allowed us to evolve into a law firm that works as hard for its culture as it does for its clients. The Senior FabricDeveloperplays a crucial role in architecting, designing, developing, andmaintainingcomplex Microsoft Fabric data solutions and database systems, including ETL/ELT, datamovementand semantic modeling. This position requires deepexpertisein Microsoft Fabric and cloud migrations. The ideal candidate has extensive experience with large-scale databases, cloudplatformsand analytics modeling, ensuring strong data governance, performance optimization, and reliable, low-risk migrations while focused on delivering business insights. This position is ideallylocatedin Austin, Dallas, or Houston, Texas. The role will require presence in the office from time to timepursuant tothe firm's hybrid work policy. • Architect and develop scalable, secure, and performant data solutions using Microsoft Fabric, • Implement database solutionsutilizingthe following engines: Lakehouse, Warehouse, Azure SQL Database, and SQL Server, • Develop, implement, and optimize ETL/ELT assets including pipelines, dataflows, and notebooks, as well as stored procedures, triggers, views, and functions, • Analyzeexisting SQL queries using execution plans and recommend tuning improvements (i.e., performance optimization), • Develop procedures and scripts for data migration, validation, and reconciliation, • Create logical and physical ERD designs, • Design holistic data solutions to support data governance, lineage, quality, and standards, • Create andmaintainPower BI semantic models and reports with a strong emphasis on performance optimization, • Design and Create modules to increase system performance and stability, • Creating Alertsregardingsystem performance,stabilityand availability, • Tune various modules to ensure system performance, • Lead cloud database migration projects, ensuring minimal downtime and minimal data loss, • Integrate various data sources to create unified data models, • Analyzeandoptimizedatabase performance, ensuring efficient query execution and resourceutilization, • Automate database and data-solution deployments using Azure DevOps (ADO) CI/CD pipelines, • Implement security measures to protect sensitive data and ensure compliance with industry standards, • Maintain comprehensive documentation of designs, configurations, and migration processes, • Partner with cross-functional teams to understand business requirements and deliver tailored solutions, • Mentor junior developers and conduct knowledge-sharing sessions to enhance team capabilities, • Stay current with evolving database and analytics technologies and recommend innovative solutions Other duties Pleasenotethis job description does not cover orcontainall activities,dutiesor responsibilities that arerequired ofthe employee for this job. Duties,responsibilitiesand activities may change at any time with or without notice. • Bachelor's degree in computer science, information technology, or a related field, • Minimum of 7 years of experience in database development, with a focus on SQL Server, ETL/ELT design and build, database design/build, and cloud migration, • In lieu of bachelor's degree, 11 years of experience in database development, with a focus on SQL Server, ETL/ELT design and build, database design/build, and cloud migration, • Minimum 2 years of hands-on experience with Microsoft Fabric, including Pipelines, Dataflows, Notebooks, Lakehouse/Warehouse, and orchestration patterns (e.g., Airflow where applicable), • Expertisein Microsoft Fabric and its applications in data engineering and analytics solutions, • Proficient in SQL Server, including T-SQL programming, stored procedures, and triggers, • Experience with cloud database platforms, • Experience designing and creating Power BI reports (and related semanticmodelingpreferred), • Experience following SDLC and Agile processes, • Experienceassistingbusiness partners in creating functional specifications, • Experience creating technical specification documents based on functional specifications, • Experience with database replication/mirroring patterns (e.g., CDC and related approaches), • Strong understanding of database architecture and design principles, • Experience with ETL/ELT tools (e.g., SSIS and/or modern cloud ETL/ELT tooling) and best practices, • Familiarity with data warehousing and BI solutions, • Certifications: Relevant certifications in Microsoft Fabric, SQL Server, and cloud platforms are preferred, • Microsoft Azure and Azure Pipelines experience is a plus, • Excellent problem-solving and analytical skills, • Strong communicationand interpersonal skills, • Ability to work independently and as part of a team, • Sense of ownership and pride in performance and its impact on company success, • Detail-oriented with a focus on quality and accuracy, • Proactive and self-motivated with a drive for continuous improvement Norton Rose Fulbright US LLP is committed to providing employees with a comprehensive and competitive benefits package that supports you, your health, and your family. Benefit packages include access to three medical plans, dental, vision, life, and disability insurance. Employees can also access pre-tax benefits such as health savings and flexible spending accounts. Norton Rose Fulbright helps provide financial security by allowing employees to participate in a 401(k) savings plan and profit-sharing plans if eligible. Full- time employees are eligible to access fertility benefits designed to support fertility and family-forming journeys. In addition to the Firm's health and welfare benefits above, we offer a competitive paid time off plan, which provides a minimum of 20 days off based on your role and tenure with the firm. The firm offers a generous paid parental leave benefit allowing parents to take a minimum of 14 weeks of paid leave to bond with your newborn, or adopted child(ren). Employees are also entitled to 11 Firm holidays. Norton Rose Fulbright US LLP is an Equal Opportunity Employer and complies with all applicable federal laws and their implementing regulations that require the collection and recording of certain data and information. The information we receive will not be used to make any decision regarding employment and will be kept separate from your application. Similarly, self-identification information is kept confidential and used only in accordance with applicable federal laws and regulations. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.Norton Rose Fulbright is committed to providing reasonable accommodation as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or accommodation to complete your application, please contact ___. Please provide your contact information and a description of your accessibility issue. We will make a determination on your request for reasonable accommodation on a case-by-case basis. ___is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.

Enterprise Data Architect Location: Austin, TX (hybrid) Schedule: Full-time | Hybrid (2-3 days in office) Work Authorization Notice: At this time, we are unable to provide immigration sponsorship for this position. Candidates must have current, unrestricted authorization to work in the country where the role is based. About Us Togetherwork is a $250M recurring revenue SaaS business with more than 33 software applications serving over 12 vertical markets. We help communities, organizations, and businesses thrive by delivering purpose-built software that supports their missions and operations. Headquartered on South Congress in Austin, TX, Togetherwork is scaling rapidly. We are customer-focused, execution-driven, and committed to operational excellence. Our teams value accountability, collaboration, and continuous improvement. We are building a modern data foundation to support our next phase of growth. About This Role As an Enterprise Data Architect at Togetherwork, you are responsible for defining and executing the enterprise data strategy across our multi-product SaaS portfolio. This is a hands-on, technical leadership role focused on building scalable, secure, and analytics-ready AWS-native data platforms. You will establish architectural standards while actively designing ingestion frameworks, pipelines, and data models. You partner closely with Engineering, Product, and executive stakeholders to modernize legacy systems, integrate acquired platforms, and enable BI and AI use cases through well-structured, governed data assets. What You'll Do • Define and evolve the enterprise data architecture roadmap across our product portfolio, • Design AWS-native data architectures leveraging services such as S3, Redshift, Glue, Lambda, Kinesis, RDS, Aurora, and EMR, • Establish standards for ingestion, transformation, storage, modeling, governance, and security, • Design and implement batch and real-time ingestion pipelines across API, CDC, streaming, and batch patterns, • Build and optimize ETL and ELT workflows using AWS Glue, Lambda, Airflow, dbt, or similar frameworks, • Architect scalable data lakes and enterprise warehouse solutions, • Lead logical and physical data modeling, including dimensional, normalized, and Data Vault approaches, • Design canonical data models, semantic layers, and analytics-ready data marts, • Implement data governance frameworks aligned with AWS security best practices, including IAM and encryption standards, • Establish data quality monitoring, lineage tracking, and observability standards, • Optimize performance, reliability, and cost efficiency across distributed AWS data environments, • Mentor data engineers, conduct code reviews, and enforce best practices across teams, • Adoption of a scalable, standardized enterprise data architecture across portfolio products, • Successful migration of legacy and acquired systems into a unified cloud-native data platform, • Improved data quality, governance, and security posture, • High-performing, cost-efficient pipelines with strong observability and reliability, • Enablement of BI, reporting, and AI initiatives through trusted, analytics-ready data assets, • 8+ years of experience in data engineering or data architecture, • Proven experience designing and implementing enterprise-scale data platforms in AWS, • Deep hands-on expertise with AWS data services including S3, Redshift, Glue, Lambda, Kinesis, RDS/Aurora, and EMR, • Strong experience with cloud-native data lake and warehouse architectures, • Advanced SQL skills and strong proficiency in Python, • Experience building ETL and ELT pipelines and implementing workflow orchestration tools, • Strong understanding of IAM, networking, encryption, and AWS security best practices, • Experience optimizing distributed systems for performance and cost efficiency, • Experience implementing CI/CD practices for data engineering workflows We are guided by values that shape how we work every day: • Obsess over our customers, • Own it. Together., • Medical, dental, and vision insurance options, • 100% Employer paid short/long term disability, • Basic Life, • 401(k) option with 100% company match up to 4%, • Flexible paid personal/vacation time built on mutual trust and accountability, • 10 sick days annually, • 10 company paid holidays, • 6 weeks paid parental leave, • Pet Insurance, • Medical Travel Benefits, • Infertility Benefits, • Teladoc, • Employee Assistance Program, • Wellness Benefits & Engagement Platform Inclusion and Diversity: Togetherwork is an Equal Employment Opportunity Employer. We are a company where diverse backgrounds, experiences, and viewpoints are valued. Togetherwork does not make hiring or employment decisions on the basis of race, color, religion, gender, gender identity, sex, sexual orientation, disability, veteran status, age, ethnic or national origin, or any other basis protected by all local, state or federal laws. Interview Process & Expectations Our interviews are designed to be interactive and conversational. Candidates are expected to respond based on their own experience and thinking during live interviews. To ensure a fair and consistent interview experience, the use of real-time AI tools or other external assistance to generate or guide interview responses is not permitted. Interviews are intended to reflect an individual's judgment, problem-solving approach, and communication. CCPA Disclosure Notice: ___

Principal Engineer, Solutions Architect – Liquid Cooling (RDHx & CDU Systems) When our customers are looking for consultative IT expertise, where else would they turn but to the company driving human progress through technology? Our Solutions Architecture team within Professional Services are specialists in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After detailed consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers' strategic, operational and financial goals. Join us to do the best work of your career and make a profound social impact as a Principal Engineer, Solutions Architect – Liquid Cooling (RDHx & CDU Systems) on our Solutions Architecture Team in Austin, Texas. Or Remote United States (Ability to travel to customer locations)What you'll achieve We are seeking a Senior Solutions Architect (SA) specializing in Data Center Liquid Cooling, with emphasis on rear-door heat exchangers (RDHx) and cooling distribution units (CDUs). This is a new capability within our organization, and you will serve as our primary expert in liquid-based thermal solutions for high-density compute environments.In this post-sales architecture role, you will work directly with customers to understand their requirements, design full liquid cooling solutions, support field teams during deployments, and help shape our internal best practices around liquid cooling technologies.You will:Customer Engagement & Post-Sales ArchitectureLead technical discovery sessions with customers to gather thermal, environmental, mechanical, and operational requirementsDesign end-to-end liquid cooling solutions featuring rear-door heat exchangers, CDUs, manifolds, hoses, fittings, and facility water loop considerationsProduce detailed solution designs including schematics, BOMs, system flow diagrams, thermal performance expectations, and installation guidelinesTranslate customer requirements into scalable, supportable, and reliable architecturesDeployment & Field SupportSupport field engineering teams during installation, commissioning, and validation of RDHx and CDU systemsProvide technical oversight on-site or remotely, ensuring the deployed system aligns with the approved designTroubleshoot flow rates, pressure drops, temperature deltas, coolant quality, sensor behavior, and CDU operational parametersAssist with acceptance testing, monitoring configurations, and integration with facility cooling infrastructureInternal SME & Cross-Functional CollaborationServe as the internal authority on liquid cooling within engineering, operations, sales, and productDevelop internal documentation: reference architectures, best practices, safety guidelines, and deployment playbooksTrain field teams and adjacent groups unfamiliar with liquid cooling practicesCollaborate with OEMs and vendors to stay aligned with the latest RDHx and CDU technologiesPractice DevelopmentDefine standards and repeatable processes for liquid cooling implementations.Contribute to service offerings that support deployment, maintenance, and ongoing optimization of liquid cooling systemsHelp shape long-term strategy and roadmap as our liquid cooling practice growsTake the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:Essential Requirements7+ years in data center infrastructure, solutions architecture, mechanical/thermal engineering, or HPC environmentsHands-on experience with:Rear-door heat exchangers (enclosed or active systems)Cooling Distribution Units (CDUs), Secondary Fluids Network (SFN) design and fabricationCoolant loop design, manifolds, flexible hose routing, connectors, drip-less fittings, sensors, etc.Rack and system level liquid cooling technologies, including multiple cooling loops, and direct-to-chip coolingStrong understanding of:Heat transfer, thermodynamics, and fluid mechanicsFacility water loops and integration pointsFlow balancing, delta-T analysis, and pump performance curvesLeak detection and safety best practicesFamiliarity with data center power/cooling concepts (rack-level thermals, airflow management). Architecture & Customer-Facing SkillsExperience conducting customer requirement gathering and converting needs into detailed solution architecturesAbility to write clear architectural documentation, diagrams, and BOMsComfort supporting deployments hands-on and resolving technical issues in the fieldAbility to travel to customer's locations1 Soft SkillsExcellent communication and customer engagement skillsAbility to simplify complex engineering topics for non-technical audiencesSelf-starter comfortable defining processes and building practice maturityWorking cross-functionally across different teams Desirable RequirementsBachelor's degree or higher in Mechanical Engineering, Thermal Engineering, or similar fieldProficiency with Thermal Simulation tools (ANSYS Icepak, FloTHERM, FloEFD, ANSYS Mechanical)Experience with high-density compute environments (AI/ML, HPC, GPU racks)Data center-related certifications (CDCP, CDCS, DCEP Generalist, DCEP-HVAC Specialist etc.)Familiarity with RDHx and CDU vendors such as Vertiv, Schneider Electric, Motivair, Liebert, Rittal, nVent, CoolIT, etc.Knowledge of monitoring and control systems (Modbus, BACnet, SNMP, CDU controllers) Compensation: Dell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role is $170,850 to $ 221,100. Benefits and Perks of working at Dell TechnologiesYour life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.Com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID:R286406

Principal Engineer, Solutions Architect – Liquid Cooling (RDHx & CDU Systems) When our customers are looking for consultative IT expertise, where else would they turn but to the company driving human progress through technology? Our Solutions Architecture team within Professional Services are specialists in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After detailed consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers' strategic, operational and financial goals. Join us to do the best work of your career and make a profound social impact as a Principal Engineer, Solutions Architect – Liquid Cooling (RDHx & CDU Systems) on our Solutions Architecture Team in Austin, Texas. Or Remote United States Ability to travel to customer locations) What you'll achieve We are seeking a Senior Solutions Architect (SA) specializing in Data Center Liquid Cooling, with emphasis on rear-door heat exchangers (RDHx) and cooling distribution units (CDUs). This is a new capability within our organization, and you will serve as our primary expert in liquid-based thermal solutions for high-density compute environments. In this post-sales architecture role, you will work directly with customers to understand their requirements, design full liquid cooling solutions, support field teams during deployments, and help shape our internal best practices around liquid cooling technologies. You will: Customer Engagement & Post-Sales Architecture • Lead technical discovery sessions with customers to gather thermal, environmental, mechanical, and operational requirements, • Design end-to-end liquid cooling solutions featuring rear-door heat exchangers, CDUs, manifolds, hoses, fittings, and facility water loop considerations, • Produce detailed solution designs including schematics, BOMs, system flow diagrams, thermal performance expectations, and installation guidelines, • Support field engineering teams during installation, commissioning, and validation of RDHx and CDU systems, • Provide technical oversight on-site or remotely, ensuring the deployed system aligns with the approved design, • Troubleshoot flow rates, pressure drops, temperature deltas, coolant quality, sensor behavior, and CDU operational parameters, • Serve as the internal authority on liquid cooling within engineering, operations, sales, and product, • Develop internal documentation: reference architectures, best practices, safety guidelines, and deployment playbooks, • Train field teams and adjacent groups unfamiliar with liquid cooling practices, • Define standards and repeatable processes for liquid cooling implementations., • Contribute to service offerings that support deployment, maintenance, and ongoing optimization of liquid cooling systems Essential Requirements • 7+ years in data center infrastructure, solutions architecture, mechanical/thermal engineering, or HPC environments, • Hands-on experience with:, • Rear-door heat exchangers (enclosed or active systems), • Cooling Distribution Units (CDUs), Secondary Fluids Network (SFN) design and fabrication, • Coolant loop design, manifolds, flexible hose routing, connectors, drip-less fittings, sensors, etc., • Rack and system level liquid cooling technologies, including multiple cooling loops, and direct-to-chip cooling, • Strong understanding of:, • Heat transfer, thermodynamics, and fluid mechanics, • Facility water loops and integration points, • Flow balancing, delta-T analysis, and pump performance curves, • Leak detection and safety best practices, • Familiarity with data center power/cooling concepts (rack-level thermals, airflow management). Architecture & Customer-Facing Skills • Experience conducting customer requirement gathering and converting needs into detailed solution architectures, • Ability to write clear architectural documentation, diagrams, and BOMs, • Comfort supporting deployments hands-on and resolving technical issues in the field, • Ability to travel to customer's locations1 Soft Skills • Excellent communication and customer engagement skills, • Ability to simplify complex engineering topics for non-technical audiences, • Self-starter comfortable defining processes and building practice maturity, • Working cross-functionally across different teams Desirable Requirements • Bachelor's degree or higher in Mechanical Engineering, Thermal Engineering, or similar field, • Proficiency with Thermal Simulation tools (ANSYS Icepak, FloTHERM, FloEFD, ANSYS Mechanical), • Experience with high-density compute environments (AI/ML, HPC, GPU racks), • Data center-related certifications (CDCP, CDCS, DCEP Generalist, DCEP-HVAC Specialist etc.), • Familiarity with RDHx and CDU vendors such as Vertiv, Schneider Electric, Motivair, Liebert, Rittal, nVent, CoolIT, etc., • Knowledge of monitoring and control systems (Modbus, BACnet, SNMP, CDU controllers) Compensation: Dell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role is $170,850 to $ 221,100. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at ___ Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy ___ Job ID:R286406

Principal Thermal Engineer Thermal Engineering leads and delivers the development of innovative and compliant thermal design solutions, as well as cross-functional interfaces for computer systems and peripherals. Our team conducts the analysis, feasibility studies and testing of thermal products, instruments, subassemblies and packaging for new and existing products – and then oversees the introduction of design changes to the manufacturing organizations. As AI growth is accelerating, Dell Technologies is developing ground-breaking technologies and customer solutions to lead the industry. These technologies are rapidly changing and we're developing best-in class AI, Cloud, High Performance Computing (HPC), Edge computing devices and enterprise networking, server and storage products. Join us to do the best work of your career and make a profound social impact as a Principal Thermal Engineer on our Thermal Engineering team in Austin, Texas What you'll achieve Dell Technologies is seeking a Principal Thermal Engineer to design and validate advanced thermal solutions for our Artificial Intelligence (AI), High-Performance Computing (HPC), and enterprise server product lines. You will define system-level thermal strategy, develop next-generation cooling technologies, and deliver reliable air- and liquid-cooled designs. You will: • Architect system-level thermal solutions including cold plates, heat sinks, vapor chambers, fans, and airflow or coolant pathways, • Conduct analytical modeling, Computational Fluid Dynamics (CFD) simulations, and empirical testing, • Drive thermal architecture decisions balancing performance, acoustics, cost, and long-term reliability, • Collaborate with mechanical engineering teams, suppliers, and Original Design Manufacturer (ODM) / Joint Design Manufacturer (JDM) partners, • Mentor junior engineers and ensure compliance with Dell quality and sustainability standards Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements • 8+ years of experience in thermal engineering or a related field, must include experience designing cold plates, heat sinks and/or advanced electro-thermal components, • Strong knowledge of heat transfer, internal and external fluid dynamics and electronics cooling, • Proficiency in Creo for mechanical design and FloEFD (or equivalent tools) for thermal simulation, • Hands-on experience interpreting CFD and Finite Element Analysis (FEA) results, • Expertise in system-level thermal architecture and engineering tradeoffs Desirable Qualifications • Experience with liquid cooling systems, Cooling Distribution Units (CDUs) and/or advanced air-cooling methods used in rack-level data center AI solutions Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $144,500-$187,000. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at ___ Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy ___ Job ID:R285246

This position supports hybrid work schedule depending on organization needs. How will you make an impact? We are looking for a Principal Thermal Rack Engineer within the Intelligent Infrastructure Segment to drive advanced cooling solutions for high-performance computing systems. This role involves incorporating thermal components such as direct liquid cooling (DLC) systems, coolant distribution units (CDUs), and manifolds into network and server racks (EIA 19” and ORv3). You will leverage CFD tools to perform rack and system-level thermal and fluid analysis, ensuring optimal flow distribution, pressure drop, and temperature performance. Additionally, you will create 3D CAD designs for seamless hardware integration, lead validation testing, and resolve thermal or flow issues through root cause analysis and corrective actions. Collaboration with cross-functional teams, customers, and global vendors is essential to align thermal architectures with overall system design and international standards. What will you do? • Lead the end-to-end integration and testing of rack thermal solutions, including liquid cooling systems in varying form factors and product lines., • Use CFD tools (FloTherm or Macroflow) to perform switch, rack, and system-level thermal/fluid analysis (flow distribution, pressure drop, and temperature profiling)., • Design and optimize thermal components using 3D CAD (Creo or SolidWorks) to support seamless hardware integration and testing., • Participate in customer engagements and site visits to understand and document deployment constraints and gather feedback for design improvements., • Partner with factory teams to ensure racks are built with proper airflow, hose routing, and thermal safeguards, while establishing best practices that improve build consistency across deployments., • Collaborate with Architects/Compliance/Reliability and global vendors to align thermal architectures with total system design and international data center/thermal/mechanical standards (e.g., UL, OCP, ASHRAE, ISTA, ASTM, NEBS)., • Conduct thermal, mechanical, and reliability testing, analyzing airflow, coolant flow rates, pressure drops, and structural integrity to ensure compliance with the end-users’ specifications., • Develop and maintain design documentation including BOMs, wetted materials compliance, test plans, and engineering change orders (ECOs)., • Manage relationships with mechanical/thermal component vendors to build out a robust partner ecosystem consisting of racks, CDUs, hoses, manifolds, QDs, and cold plates., • Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (e.g., in-row cooling, in-rack cooling, rear door heat exchangers)., • Conduct root cause analysis and corrective actions for mechanical and thermal failures or field issues., • May perform other duties and responsibilities as assigned. How will you get here? Education: • Bachelor’s Degree in Mechanical/Thermal Engineering, Systems Engineering, or related field is required Experience: • Minimum of 7+ years of experience in thermal/mechanical systems integration, • 3+ years of specific experience in rack-scale thermal design and analysis, • Strong understanding of mechanical systems, integration strategies, and large-scale program management, • Familiarity with server design, heatsinks, cold plates, hoses, and blind-mate connectors, • Proficiency in CFD simulation (e.g. ANSYS, 6Sigma, etc.) and 3D modeling software (e.g. SolidWorks, Creo), • Hands-on experience with thermal chambers, fans, and coolant, • Excellent English communication skills (verbal and written) with strong technical leadership capabilities Knowledge, Skills, Abilities: • Excellent interpersonal and communication skills, • Creative, self-motivated, accountable, and team-oriented, • Able to work independently with minimal oversight, • Capable of assessing projects, articulating risks, and developing project milestones, • Skilled in writing reports, business correspondence, and procedural guides, • Effective at presenting information and responding to management and customers, • Capable of influencing others and sharing best practices, • Familiar with stage-gate processes in project lifecycle management (PLCM), • Ability to travel both domestically and internationally up to 30% Preferred Qualifications: • Master’s Degree in Mechanical Engineering, Systems Engineering or related field is preferred, • Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products., • Active Professional Engineer (PE) license preferred., • Hands-on experience with prototype fabrication and testing; experience working with global suppliers and contract manufacturers a plus. About Jabil’s Intelligent Infrastructure Group: • Headquartered in Austin, TX, with a flagship facility located near The Domain and the Austin FC stadium, • Growing rapidly, with a team of more than 100 employees in Austin (500+ worldwide) and significant expansion planned through 2026, • Generated over $12 billion in FY25 revenue, driven largely by partnerships with major hyperscale customers, • Delivers cutting‑edge engineering, supply chain, and manufacturing solutions that power the world's AI infrastructure and global data center ecosystems As part of the total rewards package, this position is eligible for: • Annual bonus opportunity, • Medical, dental, and vision insurance plans, • Paid time off (PTO), • 4 weeks of paid parental leave, • 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly, • 401(k) retirement plan, • Employee stock purchase plan

Principal Thermal EngineerThermal Engineering leads and delivers the development of innovative and compliant thermal design solutions, as well as cross-functional interfaces for computer systems and peripherals. Our team conducts the analysis, feasibility studies and testing of thermal products, instruments, subassemblies and packaging for new and existing products – and then oversees the introduction of design changes to the manufacturing organizations. As AI growth is accelerating, Dell Technologies is developing ground-breaking technologies and customer solutions to lead the industry. These technologies are rapidly changing and we’re developing best-in class AI, Cloud, High Performance Computing (HPC), Edge computing devices and enterprise networking, server and storage products. Join us to do the best work of your career and make a profound social impact as a Principal Thermal Engineer on our Thermal Engineering team in Austin, Texas. What you’ll achieveDell Technologies is seeking a Principal Thermal Engineer to design and validate advanced thermal solutions for our Artificial Intelligence (AI), High‑Performance Computing (HPC), and enterprise server product lines. You will define system‑level thermal strategy, develop next‑generation cooling technologies, and deliver reliable air‑ and liquid‑cooled designs.You will: Architect system‑level thermal solutions including cold plates, heat sinks, vapor chambers, fans, and airflow or coolant pathwaysConduct analytical modeling, Computational Fluid Dynamics (CFD) simulations, and empirical testingDrive thermal architecture decisions balancing performance, acoustics, cost, and long‑term reliabilityCollaborate with mechanical engineering teams, suppliers, and Original Design Manufacturer (ODM) / Joint Design Manufacturer (JDM) partnersMentor junior engineers and ensure compliance with Dell quality and sustainability standardsTake the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements8+ years of experience in thermal engineering or a related field, must include experience designing cold plates, heat sinks and/or advanced electro-thermal componentsStrong knowledge of heat transfer, internal and external fluid dynamics and electronics coolingProficiency in Creo for mechanical design and FloEFD (or equivalent tools) for thermal simulationHands‑on experience interpreting CFD and Finite Element Analysis (FEA) resultsExpertise in system‑level thermal architecture and engineering tradeoffsDesirable QualificationsExperience with liquid cooling systems, Cooling Distribution Units (CDUs) and/or advanced air‑cooling methods used in rack-level data center AI solutions CompensationDell is committed to fair and equitable compensation practices. The base salary range for this position is $144,500-$187,000. Benefits and Perks of working at Dell TechnologiesYour life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.Com Who we areWe believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.Job ID:R285246

Job Description At Trunk Tools, we’re the leading AI company revolutionizing construction—the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite. Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes—we’re changing that by embedding AI directly into field operations. Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges. After years of building the “brain” of construction, we’re now launching production-ready AI agents—starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 65+ employees (25+ engineers), we’re scaling fast and entering a period of hypergrowth—this is a rare opportunity to join at an inflection point. What you will do and achieve: * Develop and manage infrastructure for distributed model training (e.g., SageMaker, Ray, Kubernetes). * Deploy ML models using containerization (Docker), orchestration tools (Kubernetes, ECS), and serving frameworks * Integrate ML workflows seamlessly with CI/CD pipelines for efficient model building, testing, and deployment * Create and maintain robust data and ML pipelines using Prefect, Airflow, or custom orchestration tools * Implement comprehensive experiment tracking (MLflow, Weights & Biases) and observability systems (Arize, Evidently) * Establish effective monitoring, logging, and governance practices for ML systems. Who you are: * BS/MS in Computer Science, Data Science, or related technical discipline * 5+ years experience in ML Operations, with at least 3 years focused on scalable AI/ML deployments * Strong proficiency with cloud infrastructure (preferably AWS), container technologies (Docker, Kubernetes), and modern MLOps frameworks * Extensive experience managing GPU and CPU resources for specialized AI workloads (Computer Vision, NLP, or LLM fine-tuning) * Practical experience with data quality and performance monitoring in production ML environments * Bonus: Experience designing data architectures optimized for AI/ML (vector, graph databases) * Bonus: Familiarity with RAG systems and agentic applications What we offer 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters 💰 Competitive salary and stock option equity packages 🏥 3 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance! 🤓 Learning & Growth stipend 🏠 Flexible long-term work options (remote and hybrid) 🥨 Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us! 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation 🏝 IRL / In-Person retreats throughout the year Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us. At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. Compensation Range: $140K - $200K

Job DescriptionLightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs.If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility. Lightedge is an enterprise-grade cloud service and colocation company focused on the needs of businesses and their critical IT requirements. If you want to take your skills to the next level by joining an industry leader, this is an excellent opportunity for you! The Data Center Technician supports the ongoing monitoring and daily management of building systems and physical infrastructure at Lightedge facilities. They utilize standard operating procedures to perform and/or coordinate the routine maintenance and optimization of all building systems, including power, HVAC, biometric security, and fire suppression systems. All work this individual performs must comply with applicable building electrical, mechanical, fire, and environmental codes and company audit requirements. The employee will be a member of the DC Operations team and will report directly to the Facilities Manager.Responsibilities: • Work with other Lightedge personnel, contractors, and vendors to diagnose and troubleshoot problems with data center equipment., • Install servers and networking equipment into racks with associated network cabling., • Work with project managers and technicians to facilitate new client service installations., • Receive and document incoming shipments., • Respond to and resolve alarm events affecting infrastructure and services., • Follow established Change Control processes; review and follow MOPs for Change activities., • Assist in the design layout, installation, and documentation of new racks and cages., • Available for on-call rotation to support non-business hours, oversee preventative maintenance and break/fix activity by vendors, perform routine maintenance, optimize infrastructure, and provide client support., • Develops and maintains comprehensive knowledge of Lightedge physical infrastructure and building systems, including mission-critical power, cooling, and biometric security systems., • Works with clients to resolve cabinet/cage infrastructure issues and power utilization., • Ensure operational efficiencies and best practices toward maintaining availability/ uptime of all 24X7 facilities, mission-critical operations, and infrastructure., • Share technical knowledge and operational experience with team members to enhance professional growth and practical cross-training of the DC Ops and Support teams., • Other duties as assigned.Experience:, • Minimum of two-year technical degree, or 1-4 years equivalent experience in a technical environment or military MOS, • Network cabling termination experience- Ethernet, CAT6, Fiber, • Experience with day-to-day standard maintenance activities in data centers, • Familiarity with telco central office equipment/transport systems., • Robust computer user hardware and software skillset, high proficiency in Microsoft Office Suite, and utilization of web browsers, • Working knowledge of electricity and electrical literature is essential., • General understanding of data center cooling systems and airflow management techniques, • Ability to multitask and prioritize activities in a complex, fast-paced environment., • Strong verbal and written communication skills, • Demonstrated ability to define problems, collect data, establish facts, and draw sound conclusions.

Job DescriptionDescription: Circuit of The Americas (COTA) is a 365-entertainment destination for world-class events located in Austin, TX. The sports and entertainment portfolio at COTA is unmatched in the country with Formula 1 US Grand Prix, NASCAR and MotoGP attracting global fans during championship races on the famed Circuit and Live Nation producing over 30 headline concerts every year at the Germania Insurance Amphitheater. Opening Summer of 2025, COTA’s amusement park is a 20-acre theme park featuring two first of their kind Roller Coasters and over three dozen rides. Job Description: The Layer 1 IT Wiring Lead is responsible for planning, installing, supervising, and maintaining structured cabling systems that support the organization’s IT and telecommunications infrastructure. This role leads field technicians in the installation of copper and fiber optic cabling, ensures adherence to industry standards (TIA/EIA, BICSI), and maintains high-quality workmanship, documentation, and safety compliance. The Lead serves as the primary on-site technical authority for Layer 1 infrastructure projects and works closely with network engineers, project managers, facilities teams, and external vendors. Requirements: Requirements & Essential Functions: Technical Leadership • Lead installation of structured cabling systems, including Cat6/6A copper, fiber optic (single-mode and multi-mode), patch panels, racks, ladder trays, and cable management systems., • Read and interpret blueprints, riser diagrams, IDF/MDF layouts, and low-voltage design documents., • Oversee cable routing, labeling, dressing, termination, and testing., • Perform and validate cable certification testing (Fluke or equivalent)., • Troubleshoot and resolve physical layer connectivity issues., • Coordinate daily on-site activities and assign tasks to technicians., • Ensure projects are completed on time and within scope., • Maintain installation documentation, as-built drawings, and labeling standards., • Communicate status updates and escalate risks/issues to project stakeholders., • Enforce adherence to TIA/EIA, BICSI, NEC, and COTA standards., • Conduct quality inspections of completed work., • Ensure proper cable management, airflow considerations, and rack organization., • Maintain safety standards and OSHA compliance on job sites., • Support moves, adds, and changes (MACs)., • Maintain IDF/MDF cleanliness and organization., • Assist with hardware installations (switches, firewalls, wireless APs, cameras)., • Provide escalation support for Layer 1 incidents. Required Qualifications: • 5+ years of structured cabling experience., • 2+ years in a lead or supervisory role., • Ability to splice new fiber optic connections and connectors., • Strong knowledge of copper and fiber installation best practices., • Experience with cable certification tools (e.g., Fluke DSX series)., • Ability to read and interpret construction drawings., • Familiarity with data center environments and IDF/MDF build-outs., • Strong troubleshooting skills at the physical layer., • Valid driver’s license and ability to travel between sites. Preferred Qualifications • BICSI Technician or Installer certification (INST1/INSTC/TECH)., • OSHA 10 or 30 certification., • Experience with data center deployments., • Basic understanding of Layer 2/3 networking concepts., • Experience with low-voltage systems (CCTV, access control, AV). Key Competencies • Leadership and team coordination, • Attention to detail, • Strong organizational skills, • Clear communication, • Safety-focused mindset, • Problem-solving under time constraints Physical Demand & Work Environments: • Ability to lift 50 lbs., • Ability to work on ladders and in confined spaces., • Extended periods of standing, bending, and cable pulling., • Ability to stand, sit, use of hands to handle, or feel, reach with hands and arms., • Ability to lift and/ or move up to 25 pounds., • Ability to squat, bend, twist, push/pull., • Ability to stand/walk for long periods., • Specific vision abilities required by this job include close vision and distance vision., • Work in extreme environments outdoors throughout the year., • The noise level in the work environment is usually moderate but can be loud during events. Salary commensurate with experience. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this job. EQUAL EMPLOYMENT OPPORTUNITY: COTA strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.

Job DescriptionEverlywell is a digital health company pioneering the next generation of biomarker intelligence—combining AI-powered technology with human insight to deliver personalized, actionable health answers. We transform complex biomarker data into life-changing insights—seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens. Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2024 alone, an estimated 1 in 86 U.S. households received an Everlywell test, solidifying our spot as the #1 at-home testing brand in the country. And we’re just getting started. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized. Everlywell is transforming the diagnostics experience, and robust, intelligent infrastructure is critical to delivering on our mission. As a DBA / Data Engineer, you will own and optimize our database platforms, while building scalable data pipelines, modeling systems, and analytical infrastructure across AWS and Azure. You’ll work at the intersection of data reliability, pipeline scalability, and AI automation—helping power a high-performing, data-driven diagnostic platform. This role requires someone who can bring deep expertise in database operations and modern data engineering practices, while embracing an AI-first mindset to automate and enhance performance, observability, and efficiency across the data stack. You will be a critical hands-on contributor who builds and maintains the foundational infrastructure that enables our product and engineering teams to move fast, securely, and intelligently.Database Ownership & Engineering Duties: • Lead operational management of PostgreSQL and MySQL databases hosted in AWS (RDS, Aurora) and Azure., • Ensure database availability, performance, backups, replication, and disaster recovery., • Continuously optimize database queries and indexing to support product performance at scale., • Implement AI-augmented tooling and automation for monitoring, tuning, and routine database maintenance.Data Engineering & Infrastructure Duties:, • Design, build, and maintain scalable data pipelines that support real-time and batch processing., • Develop data integration workflows across internal and external data sources, including APIs and partner systems., • Support data lake and warehouse infrastructure, optimizing for performance and cost-efficiency., • Define and enforce best practices for data quality, lineage, and schema governance., • Enable analytics, AI, and product teams by delivering trusted, well-structured datasets and models.AI-First Enablement Duties:, • Identify opportunities to incorporate AI into data workflows (e.g., anomaly detection, data validation, pipeline optimization), • Champion adoption of AI-based tools and automation across database and data engineering operations., • Experiment with and integrate modern AI agents, copilots, and models to accelerate data workflows.Who You Are:, • 5+ years of experience in a combined Database Administration and/or Data Engineering role., • Deep experience administering PostgreSQL and MySQL in production, cloud-native environments., • Strong experience building and scaling data pipelines with tools like Airflow, DBT, or similar., • Hands-on skills with AWS (including RDS, Aurora, S3, Glue, Lambda) and familiarity with Azure data services., • Proficient in Terraform and modern CI/CD tools (e.g., GitLab CI/CD)., • Strong scripting ability (e.g., Python, Bash) for automation and workflow orchestration., • Committed to working in an AI-first environment—excited by rapid learning and tool integration., • Detail-oriented problem solver who values performance, scalability, and reliability., • Collaborative, communicative, and comfortable in a fast-paced, high-growth environment.Preferred Qualifications:, • AWS or Azure certifications., • Experience with stream processing (e.g., Kafka, Kinesis) and real-time data architecture., • Familiarity with observability stacks like Prometheus, Grafana, or Datadog., • Exposure to security, compliance, and auditing frameworks (HIPAA, SOC2, etc.).

Job DescriptionJob Description Job Title: Senior Data Engineer Location: Hybrid (Austin, TX) Security Clearance: Active DoD Secret Clearance We question. We listen. We adapt. Be honest. Be pragmatic. Omni Federal, a Washington, DC-based software solutions provider founded in 2017, specializes in delivering mission-critical and enterprise solutions to the federal government. Originating from the Department of Defense's software factory ecosystem, Omni focuses on Command and Control, Cybersecurity, Space, Geospatial, and Modeling Simulation. The company leverages commercial technology to enhance the capabilities of the DoD, IC, and their end-users, with innovation driven by its Omni Labs and SBIR Innovation centers. Omni has a presence in Boston, MA, Colorado Springs, CO, San Antonio, TX, and St. Louis, MO. Why Omni? * Environment of Autonomy * Innovative Commercial Approach * People over process We are seeking a passionate Senior Data Engineer to support the Army Software Factory (ASWF) in aligning with Cyber Workforce requirements and broader compliance mandates. The Army Software Factory (ASWF), a first-of-its-kind initiative under Army Futures Command, is revolutionizing the Army’s approach to software development by training and employing self-sustaining technical talent from across the military and civilian workforce. Guided by the motto “By Soldiers, For Soldiers,” ASWF equips service members to develop mission-critical software solutions independently—especially vital for future contested environments where traditional technical support may be unavailable. This initiative also serves as a strategic prototype to modernize legacy IT processes and build technical readiness across the force to ensure battlefield dominance in the digital age. Required Skills: * Active DoD Secret Clearance (Required) * 4+ years of experience in data science, data engineering, or similar roles. * Expertise in designing, building, and maintaining scalable ETL/ELT pipelines using tools and languages such as Python, SQL, Apache Spark, or Airflow. * Strong proficiency in working with relational and NoSQL databases, including experience with database design, optimization, and query performance tuning (e.g., PostgreSQL, MySQL, MongoDB, Cassandra). * Demonstrable experience with cloud data platforms and services (e.g., AWS Redshift, S3, Glue, Athena; Azure Data Lake, Data Factory, Synapse; Google BigQuery, Cloud Storage, Dataflow). * Solid understanding of data warehousing concepts (e.g., Kimball, Inmon methodologies) and experience with data modeling for analytical purposes. * Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Java, Scala) for data manipulation, scripting, and automation. * CompTIA Security+ Certified or otherwise DoDM 8140.03 (formerly DoD 8570.01-M) compliant. Nice to Have: * Familiarity with SBIR technologies and transformative platform shifts * Experience working in Agile or DevSecOps environments * 2+ years of experience interfacing with Platform Engineers and data visibility team, manage AWS resources, and GitLab admin , About Omni Federal Omni Federal, founded in 2017 and headquartered in Washington, DC, is a highly specialized software solutions provider with a robust presence in key locations across the United States, including Boston, MA, Colorado Springs, CO, San Antonio, TX, and St. Louis, MO. Born out of the Department of Defense's software factory ecosystem, Omni has rapidly distinguished itself by delivering both mission-critical and enterprise solutions that enhance the technological capabilities of the federal government. With a focus on areas such as Command and Control, Cybersecurity, Space, Geospatial, and Modeling Simulation, Omni leverages cutting-edge commercial technology tailored to government objectives, improving mission performance and delivering transformative outcomes for the Department of Defense (DoD), Intelligence Community (IC), and their end-users. The company's innovative approach is backed by its Omni Labs and SBIR Innovation centers, where they develop advanced platforms and tools in data mesh, secure connectivity, and intelligent automation.

Job DescriptionEverlywell is a digital health company pioneering the next generation of biomarker intelligence—combining AI-powered technology with human insight to deliver personalized, actionable health answers. We transform complex biomarker data into life-changing insights—seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens. Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2024 alone, an estimated 1 in 86 U.S. households received an Everlywell test, solidifying our spot as the #1 at-home testing brand in the country. And we’re just getting started. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized. Everlywell operates large-scale health engagement programs that help health plan members complete important care actions — from returning diagnostic kits to accessing preventive and virtual care. We’re hiring an Applied Scientist to build and measure the ML systems that power these programs. This role is focused on machine learning, experimentation, and production measurement. You’ll train models, evaluate performance, design A/B tests, and work with engineering and business stakeholders to improve real-world outcomes. This is a high-impact opportunity to apply ML and experimentation skills to systems that influence real member outcomes at scale. You’ll work on practical, production-facing problems with clear business value, strong cross-functional visibility, and room to help shape how Everlywell uses both ML and AI in operational workflows.If you’re excited by hands-on modeling, rigorous experimentation, and building systems that improve decisions in the real world, we’d love to hear from you. Responsibilities • Build and improve ML models used in engagement and operational workflows, • Develop models for prediction, prioritization, uplift, and related decisioning use cases, • Define and monitor model performance, business impact, and system health, • Design and analyze A/B tests and other measurement approaches to evaluate incremental impact, • Partner with stakeholders to define success metrics and turn findings into decisions, • Support production rollout and ongoing monitoring with engineering teams, • 5+ years in Applied Science, Data Science, ML, Decision Science, or similar roles, • Strong hands-on experience training, evaluating, and improving ML models, • Strong experience designing and analyzing A/B tests, • Strong Python and SQL skills, • Experience measuring model, program, or product performance in production, • Ability to work cross-functionally and communicate clearly with stakeholders, • PreferredExperience in experimentation platforms, growth or lifecycle modeling, or ML-driven decision systems, • Experience with causal inference or uplift modeling, • Experience with LLMs, AI agents, or automated workflows in production, • Experience in healthcare or regulated environments

Job DescriptionHeadquartered in Austin, Texas, with its EMEA HQ in Paris, Way is the category-leading B2B technology platform empowering brands to unlock the power of experiences. In a world where 76% of consumers prefer spending on experiences over material goods, Way enables brands to adapt to this shift with cutting-edge technology. Founded in 2020, Way began as a solution for hospitality brands to drive brand loyalty and generate experiential revenue at scale. Industry leaders like Hyatt Hotels, Hilton, Trailborn, and Auberge Resorts Collection rely on Way’s all-in-one experiential platform to launch unforgettable experiences — from hot air balloon rides in Mexico City to truffle hunting in the French countryside. Way has achieved significant milestones, including a $20 million Series A funding round in late 2022, led by Tiger Global and MSD Capital (Michael Dell), at a $100M valuation. As the company continues its rapid growth, we’re seeking visionary, driven team players to join our dynamic environment, where challenges are met with unmatched rewards as we transform the hospitality and experiences industry globally. We are seeking an experienced Senior Data Engineer to establish and lead our data infrastructure as an early member of our data team. This role will be responsible for building our entire data platform from the ground up, implementing a comprehensive data lake and pipeline architecture, and establishing a culture of data-driven decision-making throughout our organization. The ideal candidate will serve as both a technical leader and data advocate, driving automation excellence while flexing into data science and analytics responsibilities as needed. Key ResponsibilitiesData Infrastructure & Pipeline Architecture • Design and implement a comprehensive data lake architecture using modern cloud-native technologies, • Build scalable ETL/ELT pipelines for real-time and batch data processing across all data sources, • Establish data ingestion frameworks to collect data from application APIs, third-party services, and databases, • Architect automated data quality monitoring, validation, and alerting systems, • Create robust data warehousing solutions optimized for analytics and business intelligence, • Implement DataOps practices with automated testing and deployment pipelines (CI/CD for data)Data Engineering & Analysis, • Develop and maintain Python-based data processing frameworks and utilities, • Build an automated data pipeline orchestration using Apache Airflow or similar tools, • Create streaming data processing solutions using Apache Kafka, Kinesis, or Pub/Sub, • Implement infrastructure as code for all data platform components (Terraform, CloudFormation), • Establish feature stores and data models that support both operational and analytical workloads, • Optimize data storage costs and query performance across the entire platform, • Collaborate with product and business teams to identify key metrics, KPIs, and analytical requirements, • Build automated reporting dashboards and self-service business intelligence tools, • Support predictive modeling initiatives and A/B testing frameworksRequired Experience, • Minimum 5+ years of hands-on data engineering experience with increasing responsibility, • Preferred 7+ years in data engineering, analytics engineering, or data platform roles, • Proven track record of building data systems from scratch or leading data infrastructure transformations, • Experience working as a solo data engineer or in small, autonomous data teamsRequired Technical Skills, • Python proficiency required - demonstrated experience building data pipelines, ETL frameworks, and automation scripts, • SQL expertise - advanced knowledge of complex queries, performance optimization, and data modeling, • Strong experience with cloud platforms (AWS, GCP, or Azure) and their data services, • Proficiency with data lake technologies (Delta Lake, Apache Iceberg, or Apache Hudi), • Experience with data orchestration tools (Apache Airflow, Prefect, Dagster, or similar), • Knowledge of streaming data technologies (Apache Kafka, Kinesis, Pub/Sub), • Familiarity with data warehouse technologies (Snowflake, BigQuery, Redshift, Databricks), • Understanding of containerization (Docker, Kubernetes) and infrastructure as code, • Experience with version control systems (Git) and collaborative development workflowsPreferred Qualifications, • Background in real-time analytics and event-driven architectures, • Previous experience in startup or fast-paced environments, • Understanding of data privacy regulations (GDPR, CCPA) and security best practices, • Experience with performance monitoring and observability tools, • Knowledge of dimensional modeling and data warehouse design patternsBenefits, • Compensation includes a highly competitive salary, generous equity, medical, dental, and vision coverage paid 100% by the company, 401K benefits, and other travel-related perks

Job DescriptionCompany Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024. Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards. Pismo’s 500+ employees are located in more than 10 countries around the world. Job Description Key Responsibilities: • Design and govern real-time and event‑driven data architectures leveraging Apache Kafka and Azure streaming services (e.g., Azure Event Hubs with Kafka compatibility, Azure Stream Analytics)., • Define and maintain end‑to‑end data architecture patterns across real‑time, near‑real‑time, and batch processing paradigms., • Develop and maintain reference architectures, data flow diagrams, and technical standards to guide platform and delivery teams., • Partner closely with Data Engineering, Platform, and Enterprise Architecture teams to deliver solutions that are scalable, secure, well‑governed, and compliant. Basic Qualifications: • 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD., • 8+ years’ experience as a Data Architect or Senior Data Engineer, operating in complex enterprise environments., • Deep expertise in streaming architectures, including managed or commercial distributions (e.g., Kafka‑compatible Azure Event Hubs or Confluent on Azure)., • Strong hands‑on experience with Azure data and analytics platforms, such as: Azure Data Lake, Storage Gen2 / Azure Blob Storage, Azure Event Hubs, Azure Data Factory, Azure Synapse Analytics, Azure Functions, Azure Kubernetes Service (AKS) or Azure Container Apps., • Proven experience designing and delivering both streaming and batch data solutions at enterprise scale., • Experience with Databricks, AWS and Apache Airflow (or equivalent orchestration and transformation tools) - nice to have., • Prior experience in Banking or financial services, particularly in architecture roles within regulated environments. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $173,100.00 to $276,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Meds.com is a rapidly growing consumer technology firm operating a suite of healthcare businesses, including our flagship brand BlueChew. Our mission is to better patients' lives through innovative healthcare solutions. With a team of 300 professionals across various specialties, we've built scalable pharmacy, telemedicine, and e-commerce platforms using cutting-edge technology. As we continue our accelerated growth trajectory, we're launching new products to expand our patient base and accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology. We are looking for a Data Analyst who thinks like a scientist. You won't just be building dashboards; you will be digging into the "why" behind our growth. You will help us optimize our subscription models, predict customer churn, and refine our marketing spend using both traditional SQL analysis and statistical modeling. This is the perfect role for a Senior Data Analyst looking to flex their Data Science muscles or a Junior Data Scientist who loves being close to business outcomes. Join our team in Austin, TX - we're looking for someone who truly values and enjoys working in the office, not just tolerates it. Responsibilities & Requirements * Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer behavior, LTV (Lifetime Value), and retention. * Predictive Modeling: Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast inventory needs and subscription health. * A/B Testing & Experimentation: Design and analyze rigorous experiments for our web platform and marketing funnels to ensure we are making data-driven product decisions. * Data Storytelling: Translate complex statistical findings into actionable "executive summaries" for our marketing and operations teams. * Self-Service Tooling: Build and optimize Looker/Tableau dashboards that empower non-technical team members to answer their own data questions. * Data Integrity: Partner with Data Engineering to ensure our "Source of Truth" remains accurate as we scale our data warehouse (Snowflake/BigQuery). What We're Looking For: * The Essentials: 3+ years of experience in a data-heavy role. You are a SQL expert and highly proficient in Python (specifically Pandas, Scikit-learn, and NumPy). * The "Science" Bit: Strong grasp of statistics (probability distributions, hypothesis testing, and regression analysis). * The "Analyst" Bit: Experience with BI tools like Tableau, Looker, or Sigma. You know how to make data look as good as it performs. * Product Intuition: You don't just pull data; you understand the business levers of a subscription-based telemedicine company. * Bonus Points: Experience with dbt (data build tool), Airflow, or specialized experience in the healthcare/pharmacy space. Tech Stack: * Data Warehouse: Snowflake / BigQuery * Languages: SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt * Environment: Dockerized development, Git-based version control Education: * Bachelor’s degree in a quantitative field (Statistics, Data Analytics, Computer Science, Economics, or Mathematics). A Master’s degree is preferred. * 3+ years of professional experience in data reporting, business intelligence, or marketing analytics. Technical Requirements: * SQL Mastery: You must be highly proficient in SQL for querying large datasets, joining complex tables, and data cleaning. * Programming (Python/R): Proficiency in Python (Pandas, NumPy) or R for statistical analysis and automation is standard. * Data Visualization: Experience with Tableau, Looker (LookML), or Power BI to create dashboards that tell a story to non-technical stakeholders. * Excel: Advanced skills (Pivot Tables, Power Query, complex formulas) for quick ad-hoc analysis. Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation), hypothesis testing, and regression models. * Predictive Modeling: Ability to build basic models for Customer Lifetime Value (LTV), Churn Prediction, or Inventory Forecasting. * Machine Learning Basics: Familiarity with supervised learning algorithms (like Random Forests or Logistic Regression). Business & Domain Knowledge: * Subscription Metrics: Deep understanding of SaaS/Subscription KPIs like MRR (Monthly Recurring Revenue), Churn Rate, and CAC (Customer Acquisition Cost). * Marketing Analytics: Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ads). * Regulatory Awareness: Familiarity with HIPAA or general healthcare data security is a significant plus given their telemedicine nature. Perks: * 100% company-paid Medical, Dental, Vision premium coverage, plus Short-Term Disability and Life Insurance. * 401K with company match. * Paid time off and company-paid holidays * Enjoy free daily lunch We are looking for top talent that wants to make a measurable impact in an exciting, fast-paced environment in our Austin, TX office (fully onsite). #LI-RG1

Job Description About the Outdoorsy Group Founded in 2015, Outdoorsy Group pioneered access to the outdoors by building the world’s leading outdoor travel ecosystem. Millions of guests trust Outdoorsy to create lifelong family memories, while hosts rely on its products and innovations to grow their businesses and unlock life-changing sources of income. Outdoorsy Group’s portfolio includes Outdoorsy.com, the largest outdoor travel and hospitality marketplace; the Destination Network, a growing collection of campgrounds and glamping retreats set in some of the country’s most iconic landscapes; and Roamly, its proprietary insurtech platform powering Outdoorsy.com and enabling insurance infrastructure for global marketplaces. Together, Outdoorsy Group’s businesses are united by a long-term mission: to restore our relationship with the outdoors—and with one another. About Outdoorsy Outdoorsy is the world's largest RV rental and outdoor travel marketplace. Our platform has facilitated over 9 million nights spent outdoors across almost 2 million trips, establishing us as the leader in experiential travel through RV rentals that are available in 4,800 cities across North America. Outdoorsy's marketplace, insurance, and retreats provide life-changing financial benefits for RV hosts and retreat communities and offer guests the trust and guidance they need to enjoy memorable rustic travel experiences. Outdoorsy's team is inspired by a mission to restore our relationship with the outdoors and each other by inviting guests to Live Outdoorsy. About Roamly Roamly is a leading provider of innovative, specialty insurance solutions purpose-built for the modern mobility and marketplace travel economy. As a Lloyd's Coverholder and AI-first insurance innovator, Roamly delivers a robust platform, deep carrier partnerships, and an expanding ecosystem that empowers consumers, professional fleet owners, and marketplaces to unlock new revenue streams while reducing risk. Our technology harnesses AI, advanced automation, and embedded distribution to power tailored coverages for recreational vehicles, carsharing, and other emerging mobility models—covering everything from underwriting and claims to compliance, data analytics, and real-time risk management. Learn more at . About the Role: The Outdoorsy Group is seeking an experienced Data Engineer to drive two business critical functions: the synthesis of data sources to develop a Customer 360 view across our suite of products, and achieving AI readiness by creating real-time data flows that connect to AI agents. To date, our data has been siloed across different products and tools, each with their own identifiers and structures. The ideal candidate will be able to show a track record of success building scalable data pipelines that solve Identity Resolution challenges, as well as experience building infrastructure for LLM-based applications. If you’re self-driven and looking to make an impact in a fast-paced environment, then we’d love to have you! Requirements Key Responsibilities & Deliverables • Enhance Identity Resolution such that there is a source-of-truth Customer 360 view that links users across our RV marketplace, internal insurance products, and 3rd-party insurance partners., • Develop fuzzy matching algorithms to triangulate single users across data that lacks common IDs., • Build and maintain scalable ELT/ETL pipelines (using tools like dbt, Airflow, FiveTran) that sync siloed SQL databases, external CRM data, and 3rd-party insurance and claims data into a unified warehouse (Redshift/BigQuery)., • Architect real-time data flows to feed an AI agent, achieving AI Readiness. Through Knowledge Graphs, Vector Databases, and Retrieval-Automated Generation, ensure agents can access e.g. latest policy status, upsell propensity scores, and customer history in near real-time., • Own all aspects of data governance between our operational systems and the AI agent to ensure privacy, security and high-fidelity responses. Who You Are (Candidate Profile) • Industry Expert: 3+ years data engineering experience building production-grade data warehouses and pipelines. Travel, marketplace, or insurance experience is a bonus, but not essential., • Technically Proficient: Advanced expertise in SQL and Python, with the ability to write complex transformations and fuzzy matching algorithms, and handle messy 3rd-party data formats., • Identity Resolution Experience: Direct experience with ‘Customer 360’ or ‘Golden Rule’ projects that establish source-of-truth customer profiles across disparate products and data sources., • Real-Time LLM Context: Experience with streaming technologies (Kafka, Pub/Sub) or building infrastructure for LLM-based applications (Knowledge Graphs, Vector Databases, RAG)., • Collaborative Team Player: You work effectively across departments, e.g. Product, Engineering, and Finance, and understand that great products come from diverse perspectives., • Velocity-Focused: You thrive in fast-paced environments where priorities shift quickly, and you're energized by solving real customer problems., • Academic Background: Degree in a technical quantitative field like computer science, data science, and engineering, or equivalent practical experience., • Candidates in Austin, Texas will be prioritized Benefits Why You’ll Love Working Here • Competitive Compensation: Base salary of $140k–$200k DOE., • Growth Opportunity: Join a company in its early stages and help build its foundation for success., • Equity: Opportunity to earn equity compensation., • Comprehensive Benefits: 100% company-paid medical premiums for employees, 401(k) [Match], and Flexible PTO., • Vibrant Culture: Lively Austin HQ with catered lunches, Happy Hours, and team-building events., • Work-Life Balance: Enjoy RV rental discounts and a company culture that values a healthy balance between work and adventure.

Job DescriptionRezolve Ai (NASDAQ: RZLV) is an industry leader in AI-powered solutions, specializing in enhancing customer engagement, operational efficiency, and revenue growth. The Brain Suite delivers advanced tools that harness artificial intelligence to optimize processes, improve decision-making, and enable seamless digital experiences As a leader in Product Discovery, we empower retailers and brands with AI-driven search, conversational commerce, geofencing, and one-touch instant payments. With recent acquisitions of ViSenze, GroupBy and Bluedot, Rezolve is accelerating innovation at the intersection of AI, commerce, and customer engagement To help us build upon our success, we are seeking a Full Stack Software Engineer to contribute in improving our search system performance and scalability. The position reports to the Software Development Manager and will work in close conjunction with the Product, Algorithm/Data Science, and various Engineering teams · Design and implement robust and scalable web applications, covering both frontend and backend development· Collaborate with cross-functional teams to define, design, and ship new features· Ensure the technical feasibility of UI/UX designs and implement them accordingly· Develop responsive and user-friendly web interfaces using modern frontend technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js)· Develop and maintain databases (SQL and/or NoSQL) to support the application· Design, implement, and maintain RESTful APIs for seamless communication between the front end and backend· Ensure API security, performance, and documentation· Implement automated testing strategies to guarantee the reliability and scalability of the application· Work closely with product managers, designers, and other stakeholders to understand project requirements and objectives· Collaborate with other engineers and contribute to a positive team environment· Identify and resolve performance bottlenecks, bugs, and technical issues· Conduct root cause analysis for issues and implement effective solutions Qualifications· Bachelor's degree in Computer Science or related field with a solid foundation in Computer Science· At least 4 years of proven experience as a Fullstack engineer or a similar role· Experience in scripting languages, such as Python for build automation and data processing· Experience in engineering pipeline tools such as airflow· Experience with database systems, both SQL and/or NoSQL· Experience in at least 1 front end framework, such as Angular or React· Solid understanding of data structure and algorithm· Experience in writing clean, reusable codes with great testability· A strong passion for learning and adapting to new technologies· Strong problem-solving skills and attention to detail· Excellent communication and collaboration skills Must HavesStrong interpersonal and communication skillsExperience in JAVA and JAVA SpringExperience in developing UI libraries by modern front-end javascript framework (preferably Angular)Familiarity with CI/CD pipelines and deployment processesKnowledge of HTTP and REST API design and implementation Rezolve is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rezolve are based on business needs, job requirements, and individual qualifications, without attention to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, veteran or disability status, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rezolve will not tolerate discrimination or harassment based on any of these characteristics. Rezolve encourages applicants of all ages We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSenior Data Platform Engineer Onsite Austin, TX Job Description We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform. Key Responsibilities: • Design and maintain Airflow DAGs for production data workflows, • Develop and optimize Spark / PySpark jobs on Dataproc, • Build and optimize complex SQL transformations, • Develop REST APIs using FastAPI Python to support data services, • Implement robust data quality and validation frameworks, • Monitor pipeline performance, retries, and SLA complianceRequired Skills:, • 6+ years of data engineering experience, • Strong Python programming skills, • Production experience with Apache Spark PySpark, • Experience with Airflow DAG development, • Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred), • Experience building APIs using FastAPI, • Strong SQL and data modeling knowledge, • Experience implementing data quality checks (schema validation, row count checks, anomaly detection)

Job DescriptionCompany Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024. Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards. Pismo’s 500+ employees are located in more than 10 countries around the world. Job Description What you will do: • Contribute to the design and evolution of the data platform, ensuring reliability, cost efficiency, and scalability, • Implement and optimize high-performance data services and pipelines (Streaming) for large-scale workloads, • Support production operations for file- and event-based systems: monitoring, incident response (on-call), and continuous improvement to meet SLAs, • Participate in code and design reviews, promoting best practices in testing, security, and observability, • Collaborate with partner teams and internal customers to deliver end-to-end data products Basic Qualifications: • Experienced in building distributed systems at scale., • Experience with Golang or Python and SQL., • Experience with Cloud computing (Azure/AWS) and hybrid architecture., • Experience with Stream processing and data platform tools (Flink, Serverless, Terraform, Docker, Kubernetes, Airflow)., • Experience with Observability and reliability tools such as Grafana, CloudWatch, on-call, SLA awareness., • Experience with Version control and CI/CD tooling such as Git/GitHub, pipelines (e.g., Codefresh). Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $152,200.00 to $243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Natera is a global leader in cell-free DNA (cfDNA) testing with a focus on women's health, oncology, and organ health. To bolster our oncology products, we are looking for a Senior Bioinformatics Engineer to provide technical expertise and process completion. Through collaboration between the product and development teams, the Senior Bioinformatics Engineer will help complete projects for the array of Oncology bioinformatics pipelines. Responsibilities * Develop, maintain, and scale production-grade bioinformatics pipelines * Lead the translation of validated research workflows into scalable, automated, cloud-based production systems * Architect and drive automation initiatives to improve pipeline scalability, reliability, reproducibility, and turnaround time (TAT) * Design and oversee secure, high-throughput data transfer solutions across AWS accounts * Proactively identify bottlenecks and implement performance and cost optimizations * Contribute to long-term roadmap planning for automation and production pipeline evolution Minimum Qualifications * Master's degree in Bioinformatics, Computational Biology, Computer Science, or related quantitative field * 5+ years of experience developing and operating bioinformatics or large-scale data processing pipelines in production environments * Strong proficiency in a production programming language (e.g., Python) * Extensive experience working in AWS or comparable cloud platforms * Proven ability to design scalable, automated systems with minimal manual intervention * Demonstrated experience owning automated pipelines end-to-end, including debugging across data, application, and infrastructure layers Knowledge, Skills, and Abilities * Deep expertise with workflow orchestration tools (e.g., WDL, Nextflow, Snakemake) * Strong experience with Docker and containerized execution at scale * Advanced knowledge of AWS services such as S3, EC2, AWS Batch, Airflow, and IAM, including multi-account architectures * Experience leading automation efforts and driving technical improvements across teams * Experience handling large genomic datasets * Strong understanding of software engineering best practices, including CI/CD, unit testing, and test-driven development * Excellent communication skills and ability to influence technical direction across scientific and engineering stakeholders * Team player, self-motivated and detail oriented are essential The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$117,400—$146,800 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job Description Join the Origis Energy Team! Origis Energy is accelerating the transition to a carbon-free future by Reimagining ZeroSM. As one of America's leading renewable energy and decarbonization solution platforms, the company continues to expand and reimagine its contribution to the world's net-zero goals. Origis Energy puts customers first to deploy a wide range of sustainable solutions for grid power generation, performance optimization, and long-term operation of solar and energy storage plants across the U.S. Founded in 2008, Origis Energy is headquartered in Miami, FL. The Origis team, regarded as one of the leading developers in the U.S., is committed to living five core values in all interactions both with each other and external stakeholders: Solve for Tomorrow. A role with Origis Energy puts you at the forefront of the transition to clean energy. Are you ready to bring new ideas? Do you exist to find solutions? That's how we revolutionize energy and build a carbon-free future - through unmatched service and relentless innovation. Rise Together. To succeed here, you'll collaborate with others and work as one team, across various teams including solar and energy storage development, financing, engineering, procurement and construction (EPC) and operations, maintenance and asset management. Are you open to diverse perspectives and prepared to work seamlessly across disciplines to reach our collective goals? Perform at Peak. We're seeking team members who bring authentic energy and passion to every task. How can you use your natural strengths, genuine optimism and intelligence to make your greatest contributions to Origis? Inspire & Grow. The Origis team is comprised of knowledgeable, passionate solar and energy storage experts who bring deep expertise and solution-driven thinking to clients. A successful Origis team member encourages others and sets a high bar for growth. We have a culture of continuous improvement because each team member takes the role of both learner and mentor. Be Resilient. The spirit in which we tackle the energy challenges and objectives of our clients means we consistently stretch for the extra mile. We all take initiative and remain adaptable, overcoming obstacles by prioritizing respect. Position Description The Senior Data Engineer position, reporting to the Senior Business Systems Manager, will be responsible for design, build, and optimize our data infrastructure with a focus on Databricks, Python, and modern data engineering practices. This role will support data ingestion, transformation, and analytics across operational, financial, and production systems, enabling stakeholders to make informed decisions. Knowledge of JavaScript or front-end integration is a plus for enhancing reporting and user-facing tools. The Senior Data Engineer is a regular, full-time position, and is eligible for our generous employee benefits package, including employer paid health insurance, paid time off, a 401(k) plan with employer matching contributions, and other great benefits. Key Responsibilities • Develop, optimize, and maintain scalable data pipelines and ETL processes in Databricks., • Integrate data from diverse sources (plant SCADA systems, IoT devices, financial/ERP systems, market data, etc.)., • Write efficient, maintainable code in Python for data transformation, automation, and analytics., • Design and maintain Delta Lake, SQL-based transformations, and structured streaming workflows., • Implement data quality checks, monitoring, and governance to ensure accuracy and reliability., • Collaborate with data analysts, business stakeholders, and operations teams to deliver insights., • Support Power BI and other visualization platforms by preparing curated datasets., • Apply JavaScript to extend visualization capabilities or enhance web-based reporting tools., • Bachelor's or Master's in Computer Science, Data Engineering, or related field., • 3+ years of experience as a Data Engineer (preferably in energy, utilities, or industrial environments)., • Strong hands-on experience with Databricks (PySpark, Delta Lake, Delta Sharing, MLflow a plus)., • Proficiency in Python for data engineering and automation tasks., • Solid SQL skills for complex queries and data modeling., • Familiarity with cloud platforms (AWS, Azure, or GCP), especially in a data context., • Experience with CI/CD pipelines, Git, and Terraform for Databricks., • Familiarity with dbt, Airflow, or other orchestration tools., • Understanding of data privacy, security, and compliance principles (e.g., row-level security, encryption)., • Exposure to machine learning workflows and MLflow., • Occasional work during evenings/weekends for maintenance or upgrades. Location: Austin, TX - hybrid schedule (WFH Mon & Fri) Travel: N/A Job Level: Senior Engineer - no direct reports Origis Energy is an Equal Opportunity Employer (EOC). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. We are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We embrace and encourage our employees' differences as that is what makes our employees unique. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. More information is available here. California Applicants: Please review our California Privacy Policy and Notice at Collection. Request for Support or Accommodations: As part of our effort to provide equal opportunity to qualified disabled veterans and individuals with disabilities, we are happy to offer support and special accommodations in order for you to successfully reach us with your interest. Please reach out to us at if you would like to request help with your application.

Job DescriptionJob Title: Senior Databricks Architect Domain : Financial Services Job Summary:We are seeking an experienced Senior Databricks Architect to design and deliver scalable, high-performance data platforms for our Financial Services clients. The ideal candidate will have deep expertise in Databricks, cloud data architectures, and modern data engineering practices, with a strong focus on building governed, secure, and efficient data ecosystems. Key Responsibilities: • Architect and implement end-to-end data solutions using Databricks Lakehouse Platform, • Design and develop scalable data pipelines using PySpark, Spark, and SQL, • Lead cloud data platform implementations on AWS/Azure/GCP, • Drive modernization of legacy data systems to cloud-native architectures, • Implement Medallion Architecture (Bronze, Silver, Gold layers), • Ensure data governance, security, and compliance (especially for Financial Services), • Collaborate with business stakeholders, data scientists, and engineering teams, • Optimize performance, cost, and reliability of data pipelines, • 12+ years of experience in Data Engineering / Data Architecture, • Strong expertise in Databricks, PySpark, and Spark ecosystem, • Hands-on experience with cloud platforms (Azure, AWS, or GCP), • Experience with data orchestration tools (Airflow, ADF, etc.), • Solid understanding of data modeling, ETL/ELT, and distributed systems, • Experience with Delta Lake and Unity Catalog is a plus, • Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets), • Databricks certifications, • Experience with real-time data processing (Kafka, streaming), • Exposure to AI/ML pipelines and MLOps, • Knowledge of regulatory and compliance frameworks in Financial Services

Job DescriptionRole Overview The Enterprise AI Platform Engineer is responsible for build and delivery of Natera's enterprise agentic AI platform. The enterprise AI platform will be used to prototype and build multiple agentic AI solutions using low code across Natera in a federated approach.This is a hands-on technical leadership role at the intersection of engineering excellence, low code platform design, and applied GenAI engineering. You will architect and build the core AI operating system that powers modular, low-code enterprise AI agentic automation that is complete with agent templates, agent orchestration engine, data and MCP connectors, prompt optimization capabilities, evaluation guardrails, abstracted AI services, intelligent data extraction and reasoning capabilities. The platform empowers citizen developers, business analysts, and engineers to prototype and test AI-powered workflows using a low-code interface, while enabling developers to extend functionality through a pro-code framework. Key Responsibilities Platform Architecture & Core Infrastructure * Design: Design and implement the core architecture of the Enterprise AI Platform — low code, modular, scalable, and secure. * Agentic Orchestration: Build the agent orchestration runtime, including task queues, state management, and inter-agent communication. * Complexity: Architect for long-running, resilient AI workflows, enabling agents to execute and monitor multi-step, asynchronous processes. * Low code abstraction: Develop APIs and services for automation, evaluation, and agent lifecycle management. * Deployment: Establish DevOps, CI/CD pipelines, and configuration management to ensure smooth deployment at scale. Low-Code/Pro-Code Experience * Low-Code Interface: Build an intuitive visual builder that allows business users to compose agent workflows through drag-and-drop and configuration. * Pro-Code Mode: Provide a developer extension layer where engineers can author and deploy agents in code (Python, TypeScript) directly into the same framework. * Unified Runtime: Ensure both low-code and pro-code workflows share common infrastructure for orchestration, evaluation, and governance. * Transparency & Debugging: Surface workflow traces, model evaluations, and output explanations directly in the user interface. * Experimentation & Versioning: Support iterative experimentation, evaluation-based comparison, and rollback through integrated version control. Agentic Orchestration & Long-Running Agents * Orchestration Engine: Build a robust orchestration system supporting both short-lived agent calls and long-running AI agents that persist over time to automate complex processes. * Workflow Automation: Enable orchestration of multiple agents with shared state, scheduling, dependency resolution, and event-driven execution. * Enterprise Integration: Connect agents to core enterprise systems to perform real-world actions securely. * Autonomy & Resilience: Implement mechanisms for persistence, checkpointing, recovery, and human-in-the-loop interventions. * Human in the Loop Feedback: Design human-in-the-loop and self-assessment mechanisms for continuous prompt and workflow improvement. * Evaluation as a Core Layer: Architect an evaluation-first framework for monitoring and improving AI agent performance across all workflows. AI Services & Capabilities * MCP Integration: Integrate with Model Context Protocols (MCPs) to enable plug-and-play connectivity with external systems and actions. * Retrieval-Augmented Generation (RAG): Build services to retrieve information from unstructured data using vector databases and retrieval pipelines. * Prompt Optimization & Evaluation: Implement automated systems for prompt tuning, evaluation, and feedback loops to ensure reliable results. * Abstracted AI Services: Build modular APIs for AI services such as unstructured document processing, information retrieval, information summarization, data extraction, content generation, classification etc. * Evaluation as a Core Layer: Architect an evaluation-first framework for monitoring and improving AI agent performance across all workflows. * Reusable Components: Create shared, composable AI primitives (e.g., document loaders, semantic routers, extractors) to accelerate workflow design. Governance, Security & Observability * Enforce governance, security, and compliance principles (SOC2, HIPAA, GDPR) across all platform operations. * Implement RBAC, audit logging, and lineage tracking for all data and agent interactions. * Build observability tools for tracing, cost monitoring, and system performance metrics. * Integrate evaluation-based guardrails that detect hallucinations, bias, or policy violations in real time. * Metric Tracking: Create structured metrics dashboards (precision, recall, task success rate, cost efficiency) for every deployed agent. Technical Leadership & Collaboration * Establish technical standards, documentation, and engineering patterns for future platform development. * Collaborate with business stakeholders, data scientists, and product teams to identify automation use cases and measure ROI via evaluation metrics. * Mentor future engineers and contribute to an engineering culture centered on safety, transparency, and impact. * Continuously explore emerging agent frameworks, vector stores, and evaluation methodologies. Qualifications Required * 12+ years of software engineering experience, with 8+ years in platform or distributed systems architecture. * Proven expertise in implementing workflow orchestration or automation systems * Proficiency in Python with deep experience in backend architecture and API design. * Experience with low-code/no-code automation platforms (Zapier, n8n etc.), internal developer platforms (IDPs), or workflow engines (Temporal, Airflow). * Experience in working with well known agentic cloud platforms (e.g. AWS Bedrock agents, AgentCore etc.). * Hands-on experience with LLMs, RAG, vector databases, and orchestration frameworks (LangChain, LlamaIndex, AutoGen, DSPy). * Fluency in cloud infrastructure, Kubernetes, Docker, and CI/CD automation. * Knowledge of observability and telemetry systems for event-driven environments. * Familiarity with AI governance and evaluation frameworks, LLM safety, drift detection, bias detection, hallucination, explainability, and compliance (e.g., HIPAA, CLIA, FDA). Preferred: * Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering or related field. * Experience in healthcare, pharma, diagnostics, or other regulated industries. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$174,400—$218,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along