Data Engineer jobs at The Hertz Corporation - 1116 jobs

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

We think it's insane that so many people and businesses rely on notes to remember and share insights from their meetings. Notes are time-consuming and stressful to create while trying to hold a conversation. Even when done well, notes are a poor solution compared to hearing something first-hand. We started Fathom to rid us all of the tyranny of note-taking, and people seem to really love what we've built so far: 🥇 #1 Highest Satisfaction Product of 2024 on G2 🔥 #1 Rated on G2 with 4,500+ reviews and a perfect 5/5 rating 🥇 #1 Product of the Day and #2 AI Product of the Year 🚀 Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces 📈 We're hitting usage and revenue records every week We're growing incredibly quickly, so we're looking to grow our small but mighty team. Role Overview: As an AI Engineer at Fathom, you'll be hands‑on with LLMs, prototyping and refining our features. Your work will directly shape our product by generating practical specifications that steer our engineering team towards impactful updates and novel capabilities. This role is a bit of a hybrid of engineering // analytics // product management // research. It would suit someone already in an AI Engineering role as well as software engineers or data scientists that have gone deep into building AI features. This role is open to the US only, and does require 3 days per week in‑office in San Francisco, California. What you'll do: By 30 Days, you will have Upgraded existing features to be smarter and/or faster by combining your prompt engineering experience with the latest available models. Improved or created new evaluations for our existing features. By 90 Days, you will have Prototyped new AI features that address valuable use cases. Fine‑tuned models for our specific needs. Developed new processes to speed‑up how we migrate to new AI models. Show off in your application! (Important) When applying, include a quick demo of something you made with LLMs that you're really excited about. It should showcase your fit for the role. Include it in any form you'd like (such as a link to a short video or a repo). Requirements: Hard Skills: Experience with prompt engineering - able to prompt LLMs to achieve outstanding and reliable outcomes. Proficient in Python and able to hack together end‑to‑end prototypes. Foundational analytics (able to manipulate data in Python or SQL). Soft Skills: Attention to detail, and a high level of scrutiny for impactful applications of LLMs. Curiosity‑driven and pragmatic with a focus on delivering results. A generalist mindset with the ability to dive deep into a wide range of challenges. Resilience and an ability to grind through complex problems. Openness to disagreement and commitment to decisions once made. Strong collaborative skills, with the ability to explain complex insights in an accessible manner to both technical and non‑technical audiences Independence in managing one's workload and priorities Nice to Have: Previous experience in fine‑tuning LLMs is highly desirable. What You'll Get: A career‑defining opportunity to work on LLM features at this pivotal time. A chance to work with a dynamic and collaborative team. Competitive compensation and benefits. A supportive environment that encourages innovation and personal growth. Join Us: If you're excited to own the data journey at Fathom and contribute to our mission with your analytical expertise, we would love to hear from you. Apply now to become a key player in our data‑driven success story. #J-18808-Ljbffr

A leading logistics company is seeking a Senior Software Engineer to design and build AI-enabled products for their brokerage and managed services platforms. This full-time position allows for a hybrid or remote work schedule and offers a competitive salary ranging from $130,000 to $150,000. Ideal candidates will have over 5 years of experience in software engineering with a strong understanding of AI/ML integration and proficiency in Azure cloud services. #J-18808-Ljbffr

A leading logistics technology company is seeking a Senior Software Engineer to design and build next-generation AI-enabled products. You will develop scalable features, integrate AI into workflows, and mentor junior engineers within a hybrid or remote work environment. We offer competitive compensation, comprehensive benefits, and a culture of continuous growth. Ideal candidates have substantial experience in software engineering and a strong grasp of cloud technologies, AI patterns, and collaborative work across teams. #J-18808-Ljbffr

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a full stack Senior Software Engineer to join the Software Engineering Organization located in Seattle WA, Tukwila WA, or Everett WA. In this position, you will collaborate with other world‑class scientists, researchers, and engineers innovating on a range of technologies such as Autonomy, Automation, Artificial Intelligence & Machine Learning (AI/ML), etc. As part of the Boeing Software Engineering Organization which supports Boeing Technology Innovation (BTI), our software engineers use their expertise to dream up next‑generation software capabilities for amazing aerospace, satellite, and autonomy platforms. We develop cutting edge software applications that will improve the future of software capabilities, Autonomy, Automation, airplane and flight controls, artificial intelligence, machine learning, and much more. Our products help solve Boeing's most challenging problems across Commercial Airplanes, Defense Space & Security, and Global Services businesses. The projects can range from new software products for the revolutionary 787 Dreamliner to innovative aircraft across several commercial, autonomy, defense, satellite, and space platforms. Boeing is committed to your development. As part of the software engineering organization, you will have the opportunity to be trained and equipped with the software technology and tools to be successful. In the software capability, you will be encouraged and resourced to pursue your passions, explore different technology domains, and advance your career. Boeing is the world's largest aerospace company and leading manufacturer of commercial jetliners and defense, space and security systems. Here, you'll work alongside more than 170,000 exceptional people focused on bringing great products and services to market. Located in more than 70 countries, Boeing is composed of one of the most diverse, talented, and innovative workforces you will find anywhere. More than 140,000 of our people hold degrees from approximately 2,700 colleges and universities worldwide. Their expertise and knowledge represent virtually every business and technical field. By building a career at Boeing, you'll have the opportunity to grow your skills, create relationships around the world and help shape the future of aerospace. Position Responsibilities Lead the full software development lifecycle as a full stack software engineer, including problem analysis and planning, Software Architecture & Design, Software Development, Software testing, and Software deployment with operational excellence. Leads activities to develop, document and maintain architectures, requirements, algorithms, interfaces and designs for software systems and strategic reuse across all programs. Leads development of code and integration of complex software components into a fully functional software system. Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met. Provides technical leadership for software projects and leads software supplier management activities (if there is any). Leads development, selection, tailoring and deployment of processes, tools and metrics. Plans, executes and documents software research and development projects. Serves as a subject matter expert for software domains, system‑specific issues, processes and regulations. Collaborate with stakeholders, engineering teams, and peers closely for the on‑time software delivery with safety and high quality. Build and grow the software capabilities across organizations and teams with mathematical optimization, data science, data mining, or machine learning requirements. Drive software execution to deliver products on‑cost and on‑schedule to programs. Responsible for software safety, assurance, quality, and engineering excellence. Drive first time quality in all phases of product and software development lifecycle. Attend and present technical work in internal conferences or meetings with great verbal and written communications. Innovate and file patents; sometimes publish papers (optional). Mentor junior software engineers. Works under minimal direction. Location & Working Requirements This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position must meet export control compliance requirements. To meet export control compliance requirements, a U.S. Person as defined by 22 C.F.R. §120.15 is required. U.S. Person includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Assessment To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Basic Qualifications 5+ years of experience designing and developing software using any of the listed programming languages - Python, C/C++, or Java. 5+ years of experience working with backend development and/or cloud environments. Preferred Qualifications Bachelor degree from an accredited course of study in computer science, data science, mathematics, engineering, engineering technology (includes manufacturing engineering technology), chemistry, or physics. Experience with full software development lifecycle as part of the agile team. Proficient in C++. Experience with Middleware, deployment to RTOS, and Autonomy. Experience with Cloud platforms (e.g., AWS), Linux, and containerization (e.g., Docker, Kubernetes, OpenShift). Experience with modern microservices architecture, implementation, and operations. Experience with relational database and AI/ML techniques. MS or Ph.D. in Computer Science or Engineering related field. Drug Free Workplace Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union This is a union-represented position. Travel This position may require up to 10% travel. CodeVue Coding Challenge To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior Level (Level 4): $171,700 - $232,300. Applications for this position will be accepted until Jan. 21, 2026. Export Control Requirements This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a U.S. Person as defined by 22 C.F.R. §120.62 is required. U.S. Person includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details US based job, US Person required. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift. Equal Opportunity Employer Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. #J-18808-Ljbffr

Software Engineer Lead Full time DA NANG Job Description: We are looking for a passionate and experienced Software Engineer Lead to embark on the journey with us and take part in the development team. As a Software Engineer Lead at TechSoft, you must have a solid foundation in React.js and at least 3 years of experience. The successful candidate will lead our frontend development team, drive the development of high-quality applications, and mentor junior developers. You'll have mindset of clean-code, demonstrate good English communication skills, and have a knack for managing your time and priorities. Most of all, you thrive in a collaborative environment, you're not afraid to learn new things, and you aim to have excellent work results. Posted: 01/11/2023 Lead the design, development, and maintenance of web applications using React.js. Collaborate with cross-functional teams to define and implement new features. Ensure the performance, quality, and responsiveness of applications. Provide technical leadership and mentorship to junior developers. Developing and implementing highly responsive user interface components using react concepts. Monitoring and improving front-end performance. Documenting application changes and developing updates. Troubleshoot and resolve complex technical issues. Trained in Computer Science, Engineering, or a related field, or equivalent practical experience. At least 3 years of experience working as a Front-end Developer. Experience with popular React.js tools including React.js, Webpack, Enzyme, Redux, and Flux. Knowledge of performance testing frameworks including Mocha and Jest. Good troubleshooting skills. Good English communication and teamwork skills. Working time: 40 hours per week from Monday to Friday Paid Days-off: 17 days off/year Work-from-everywhere: 24 WFE days/year Competitive salary and benefits: 13th salary, profit sharing, bonus for excellent members, bonus for excellent projects Social Insurance coverage: 100% of your gross salary of the maximum related to the labor law Probation will receive 100% salary Monthly lunch and gasoline allowances Performance salary review: annually after 12 months, exceptional excellence performance after 6 months We treat other people the way we want to be treated Sustainability We aim for a healthy and long-term journey One-Team We are united and highly committed to team results We aim to deliver WOW results with a focus on quality #J-18808-Ljbffr

Job Details Job Title: Senior Software Embedded Engineer Duration: 6 Months Pay Rate: $89.31/hr Keyword: #PaloAltojobs; #Engineerjobs. Work with h/w and s/w architects to collaborate on next-gen platform architecture with various SoCs and the software stack. Design, develop, and deploy embedded software on Linux and/or RTOS for board bring-up, verification, and debugging of automotive electronics. Collaborate across multiple disciplines to deliver quality code, debug complex problems, prioritize, and get things done with high efficiency and urgency. Ability to debug in real-time across the s/w and h/w stack to understand the real issue and provide solutions, working and collaborating with multiple teams if needed. Familiarity with Linux build systems, device trees, and kernel driver development is essential. Ability to crisply communicate with peers, stakeholders, customers, technical leaders, and OEMs/ODMs. Qualifications Bachelor"s or Master"s degree in Computer Science/Engineering or related field. 7+ years' experience in Embedded Software Development. Experience with Automotive Infotainment/Connectivity platforms preferably working with GNSS, UWB, RF, A2B, BT Audio. Good coding skills on C/C++. Good understanding of Linux and/or RTOS fundamentals, Board Support Packages, kernel configuration, device driver interfaces, debugging tools, etc. Excellent debugging skills with an ability to work across organizations/teams. Experience using Lauterbach, Oscilloscope, JTAG, Flashing Tools, etc. Equal Opportunity Employer Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, colour, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. #J-18808-Ljbffr

About the role and team Engineering at Uber means building for real-world impact under real-world constraints. You'll join a team that builds the platforms and services powering safe, affordable, and reliable movement in over 10,000 cities worldwide. The problems are complex, the systems are massive, and the pace is fast, requiring you to make smart decisions with guidance from seasoned peers. If you think in systems and care about building things that actually work for millions of people, this is where you'll grow. We're not looking for someone who just follows a manual; we need builders who thrive in ambiguity and own their growth. You'll be part of a high-performance culture marked by perseverance, where your code directly impacts earners, riders, and merchants every day. This is a unique environment where the digital and physical worlds intersect, and every line of code helps move the world forward. You will face shifting priorities and legacy trade-offs, but that is exactly what makes the work meaningful and your impact tangible. What you'll do Build and maintain high-performance services and infrastructure that support Uber's global platform, ensuring that performance, safety, and scale are never separated. Navigate and solve messy, high-impact problems in fast-changing environments, often starting without a clear playbook or obvious solution. Manage technical debt and shifting priorities while keeping long-term system health and the experience of millions of users in mind. Champion engineering excellence by upholding standards for code health, testing, and design clarity, even when project stakes are high and time is tight. Collaborate across disciplines-including product, design, and operations-to influence technical direction and ship thoughtful, practical solutions at hyper-scale. Own your work end-to-end, from the first design document to debugging complex production issues when every second matters. Basic qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience in 2025 or 2026. Experience in iOS development (including internships) with a track record of shipping consumer-facing applications. Proficiency in Swift and/or Objective-C. Knowledge of UIKit, Core Animation, Core Graphics, and related iOS frameworks. Demonstrated experience delivering technical initiatives within defined timelines. Preferred qualifications Ability to work effectively in a fast-paced environment characterized by ambiguity and shifting priorities. Experience with custom UI and iOS/Swift best practices, including SwiftUI. Knowledge of mobile frameworks and libraries designed for use by large developer populations. Interest in cartography, mapping, or location-based services. Experience using A/B testing and data to drive product development decisions. Ready to ride? Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves, this is the place for you. What moves us, moves the world - let's move it forward, together. You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Learn more at ************************************** Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least Tuesday, Wednesday, Thursday in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com. For New York, NY-based roles: The base salary range for this role is USD$150,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$150,000 per year - USD$158,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$150,000 per year - USD$158,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** #J-18808-Ljbffr

Current job opportunities are posted here as they become available. Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting‑edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico. Leveraging a comprehensive range of services, data‑centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid‑market segment within the freight tech industry. Whether you're just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers. Position Description As a Senior Software Engineer with Redwood Logistics, you will play a central role in designing and building the next generation of AI‑enabled products that power our brokerage and managed services platforms. This role focuses on scalable feature development, AI integration, and platform evolution. You will collaborate closely with Redwood's AI Product team to deliver intelligent systems, agentic workflows, and data‑driven automation capabilities that redefine digital logistics operations. Responsibilities Lead the design and development of new platform capabilities across Redwood's technology ecosystem. Partner with the AI Product and Data Science teams to integrate predictive, generative, and agentic models directly into product workflows. Architect scalable, high‑performance systems leveraging microservices, APIs, and event‑driven patterns to support AI‑enabled decisioning and automation. Guide technical design reviews, ensuring solutions align with Redwood's long‑term architectural direction and platform modernization roadmap. Collaborate with cloud and infrastructure teams to optimize performance, reliability, and scalability within Azure and containerized environments. Implement automated testing, CI/CD pipelines, and observability frameworks to support rapid, high‑quality releases. Mentor engineers in advanced coding practices, architectural thinking, and AI integration techniques. Contribute to the definition of Redwood's AI platform architecture, shaping reusable service patterns, data orchestration flows, and model‑serving frameworks. Stay current with emerging AI frameworks, developer tooling, and best practices, driving innovation and continuous improvement. Qualifications Bachelor's Degree in Computer Science or equivalent professional experience. 5+ years of professional experience in software engineering, with a focus on scalable, distributed, or data‑intensive systems. Strong understanding of AI/ML integration patterns, APIs, and data pipelines, with practical experience collaborating with data science or ML engineering teams. Expertise in Azure cloud services, including container orchestration (AKS), serverless computing, and event‑driven design. Experience developing RESTful and GraphQL APIs with attention to performance, resilience, and data integrity. Solid understanding of CI/CD pipelines, test automation, and secure deployment workflows. Strong command of relational and non‑relational databases (SQL, Cosmos DB, Postgres, or Snowflake preferred). Excellent communication and collaboration skills, with the ability to work cross‑functionally across engineering, product, and AI teams. Experience developing agentic or AI‑driven applications, leveraging LLMs or orchestration frameworks. Familiarity with event streaming (Kafka, Event Hubs) and data pipeline orchestration tools (Airflow, Data Factory). Preferred experience in logistics, brokerage, or supply chain technology. Knowledge of domain‑driven design and service mesh architectures. Proven success in influencing platform‑level design and scaling AI capabilities into production applications. Rewards Culture of unlimited growth with new positions and departments created regularly to support our growing customer base Paid parental leave policies Medical, dental, vision and 401k plans (with match) Flexible‑spending, mass transit and dependent care plans Health savings account, with company contribution Short‑term, long‑term and life insurance policies subsidized by company Cell phone discounts; reduced fees for health and fitness clubs Additional benefits including pet insurance, accident care and more Competitive PTO plans, with extra floating holiday and time off to volunteer Fundraising and volunteer opportunities to give back to our local, national and international communities Work Schedule This position is full‑time and hybrid or remote Monday through Friday from 8:00 AM to 5:00 PM with an hour break, but flexibility is available based on coverage. Compensation Range Salary Range: $130,000 - $150,000 This position is eligible to earn annual incentives based on individual and company performance. The estimated pay range reflects an anticipated range for this position. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job. Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company's needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual's actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law. REDWOOD LOGISTICS 1765 N. Elston Ave., Suite 216,Chicago,IL,60642 P:************ E:**************************** #J-18808-Ljbffr

Job Title: Defense Senior Software Engineer - OS Specialization Job Type: Contract (6 Months Contract) Pay Rate: $50.48/hr We are seeking a highly skilled Defense Senior Software Engineer II with expertise in operating systems and embedded software. The successful candidate will lead the design, development, testing, and deployment of software systems for internal projects and external defense customers. This role involves capturing requirements, architecting solutions, coding, and supporting troubleshooting and system validation. Key Responsibilities: Lead software engineering teams in architecting, designing, developing, testing, and deploying software and software systems, including: Embedded controllers User interfaces Diagnostics Communication gateways Data processing tools Capture and document customer, user, and engineering software requirements. Produce and review software work products, such as: Requirements documentation Sequence/timing diagrams User experience wireframes Process documentation and flowcharts User stories Test plans and test reports Project planning and scheduling documentation User guides Continuously improve software development processes, including: Code reviews Unit testing and system testing Automated testing Project task tracking and team collaboration Continuous integration Bug and issue tracking Education and Experience (Required): Bachelor's degree in Computer Science, Computer Engineering, or related technical field, or equivalent work experience. Minimum of 4 years of professional software development experience. Experience with in-vehicle software architecture and design. Experience with software languages, technologies, methodologies, APIs, databases, and Pub/Sub systems. Education and Experience (Preferred): Strong working knowledge of software technology architecture and configuration. Experience with multi-system integration, IoT, web app development, and distributed systems integration. Knowledge of software documentation best practices. Experience with MATLAB and Simulink for control algorithm development, analysis, and validation. Skills, Knowledge, and Abilities (Required): Proficiency in C, C++, and Python development. Solid understanding of low-level Linux and operating system fundamentals (process management, memory management, system startup). Knowledge of communications protocols and standards, including CAN bus, TCP/IP, UDP, DDS, and other serial protocols. Strong troubleshooting skills to quickly identify and resolve software issues. Excellent verbal and written communication skills for technical and non-technical audiences. Ability to work independently, manage multiple assignments simultaneously, and pay close attention to detail. Skills, Knowledge, and Abilities (Preferred): Experience planning, estimating, scheduling, and coordinating technical projects. Leadership experience managing small teams of software developers. Automotive vehicle knowledge, including hands-on mechanical or electrical experience. Proven ability to interface with software, network, and hardware development and integration teams. Current or ability to obtain Secret DOD security clearance.

Country USA State Ohio City Cincinnati Descriptions & requirements About the role: As a Data Engineer, with TQL you will be supporting the FP&A department by developing scalable reporting solutions in Microsoft Fabric. This role will focus on migrating data from on-premises systems to the cloud, building and optimizing SQL views and pipelines, and creating governed Power BI datasets and semantic models. What's in it for you: * $85,000-$125,000 base salary + performance bonuses * Advancement opportunities with aggressive and structured career paths * A culture of continuous education and technical training with reimbursements available * Hybrid work environment with the ability to work remotely 40 hours per month * Comprehensive benefits package * Health, dental and vision coverage * 401(k) with company match * Perks including employee discounts, financial wellness planning, tuition reimbursement and more * Certified Great Place to Work and voted a 2019-2026 Computerworld Best Places to Work in IT What you'll be doing: * Migrate FP&A datasets from on-premises to Microsoft Fabric/Lakehouse * Build and maintain SQL pipelines, transformations, and views that support reporting needs * Ensure performance, scalability, and reliability through automation, monitoring, and CI/CD best practices * Design, publish, and manage Power BI certified datasets, semantic models, and reports/dashboards * Apply best practices in DAX, modeling, and governance to enable accurate, self-service reporting * Partner with Finance stakeholders to translate reporting requirements into technical deliverables * Implement processes to ensure accuracy, consistency, and reconciliation across financial and operational systems * Maintain documentation of data models, business logic, and reporting standards * Troubleshoot and resolve issues impacting reporting accuracy or performance * Collaborate with Data Governance and Quality teams to align with enterprise standards and metadata frameworks What you need: * Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field * 3+ years of experience in BI/data engineering or analytics engineering * Advanced SQL skills with proven experience in building and optimizing large-scale datasets * Strong Power BI expertise (datasets, DAX, performance tuning, semantic models) * Hands-on experience with Microsoft Fabric and Lakehouse/cloud data platforms preferred * Knowledge of financial reporting concepts and ability to work with FP&A stakeholders p * Strong problem-solving skills and ability to bridge Finance and IT needs Where you'll be: 4289 Ivy Pointe Boulevard, Cincinnati, Ohio 45245 Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered. About Us Total Quality Logistics (TQL) is one of the largest freight brokerage firms in the nation. TQL connects customers with truckload freight that needs to be moved with quality carriers who have the capacity to move it. As a company that operates 24/7/365, TQL manages work-life balance with sales support teams that assist with accounting, and after hours calls and specific needs. At TQL, the opportunities are endless which means that there is room for career advancement and the ability to write your own paycheck. What's your worth? Our open and transparent communication from management creates a successful work environment and custom career path for our employees. TQL is an industry-leader in the logistics industry with unlimited potential. Be a part of something big. Total Quality Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, genetic information, disability or protected veteran status. If you are unable to apply online due to a disability, contact recruiting at ****************** *

Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling. About The Team Agility Robotics is building the future of work through humanoid robots that operate in human environments. The Data Platform team builds the data infrastructure that powers everything from fleet operations and hardware reliability to business analytics and machine learning. We enable engineers across robotics, perception, and product teams to derive insight from the vast quantities of telemetry and log data generated by our robots in the field. About The Role We are looking for a Senior Data Engineer to join our Data Platform team and help shape the foundation of data-driven operations at Agility. In this role, you'll work closely with robot software and hardware teams(among others) to design, curate, and maintain high-quality datasets that enable analytics, debugging, and fleet-scale insights. You'll bridge the gap between raw robot data and actionable information - working both on-robot data generation and in the cloud ingestion and processing pipelines. You'll design transformations, author pipelines, and collaborate across teams to deliver reliable and queryable data products for hardware reliability, system health, workflow metrics, and root cause analysis. What You'll Do Collaborate with robot software and hardware teams to define, collect, and curate data needed for analytics and debugging. Develop and maintain ETL pipelines that transform raw robot logs and telemetry into structured datasets using Spark, Airflow (or equivalent orchestration tools), and AWS data services. Contribute to on-robot data production workflows to ensure high-fidelity, well-structured data capture. Design derived datasets and transformations across Avro, Parquet, and other sensor data formats to power fleet operations, reliability analysis, and business metrics. Implement data quality checks, schema evolution, and metadata management practices using our internal Data Registry and cataloging systems. Work closely with the ingestion and storage services that move robot data into the cloud (S3-based data lake). Collaborate with internal consumers - reliability, analytics, and ML teams - to design efficient data models for their workflows. Occasionally contribute to shared libraries or APIs in Python, Java, or C++ to support data capture and consumption. What We're Looking For Required: 5+ years of experience as a Data Engineer or similar role building and maintaining production data pipelines. Strong proficiency in Apache Spark or equivalent distributed data processing frameworks. Experience with Airflow, Dagster, Prefect, or other data orchestration systems. Proficiency with data formats such as Avro, Parquet, and structured/numeric datasets. Solid understanding of data modeling, schema evolution, and data quality best practices. Good intuitions of how to model datasets logically and partition them physically for optimal query performance, both for analytical query engines and for playback or root-cause-analysis(e.g. ReRun, Foxglove etc) Strong programming skills in Python, Java and/or Scala. Experience with AWS data stack (S3, Glue, Athena, EMR, etc.) or similar cloud infrastructure. Experience working with vision data pipelines(e.g. Images, video, depth) and building derived datasets from them. Comfort working cross-functionally with software, hardware, and analytics teams in a fast-paced environment Nice to Have: Experience with robotics vision data (RGB, depth, point clouds, or perception outputs) and how to process, store, and query them efficiently. Familiarity with C++ and willingness to contribute to lightweight logging or data serialization libraries. Exposure to large-scale robotics data, including high-frequency and high-fidelity sensor, telemetry and vision streams. Experience with data catalog systems and metadata management. Familiarity with data versioning or immutable dataset design (e.g., Apache Iceberg, Delta Lake) Why You'll Love Working Here Join a small, high-impact team building the data foundation for humanoid robotics. Work at the intersection of physical systems and large-scale data infrastructure. Collaborate with talented roboticists, software engineers, and data scientists shaping the future of automation This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, Pittsburgh, or Bay Area offices. Full-time Employees are eligible for Benefits: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: ***************************

About The Team Agility Robotics is building the future of work through humanoid robots that operate in human environments. The Data Platform team builds the data infrastructure that powers everything from fleet operations and hardware reliability to business analytics and machine learning. We enable engineers across robotics, perception, and product teams to derive insight from the vast quantities of telemetry and log data generated by our robots in the field. About The Role We are looking for a Senior Data Engineer to join our Data Platform team and help shape the foundation of data-driven operations at Agility. In this role, you'll work closely with robot software and hardware teams(among others) to design, curate, and maintain high-quality datasets that enable analytics, debugging, and fleet-scale insights. You'll bridge the gap between raw robot data and actionable information - working both on-robot data generation and in the cloud ingestion and processing pipelines. You'll design transformations, author pipelines, and collaborate across teams to deliver reliable and queryable data products for hardware reliability, system health, workflow metrics, and root cause analysis. What You'll Do * Collaborate with robot software and hardware teams to define, collect, and curate data needed for analytics and debugging. * Develop and maintain ETL pipelines that transform raw robot logs and telemetry into structured datasets using Spark, Airflow (or equivalent orchestration tools), and AWS data services. * Contribute to on-robot data production workflows to ensure high-fidelity, well-structured data capture. * Design derived datasets and transformations across Avro, Parquet, and other sensor data formats to power fleet operations, reliability analysis, and business metrics. * Implement data quality checks, schema evolution, and metadata management practices using our internal Data Registry and cataloging systems. * Work closely with the ingestion and storage services that move robot data into the cloud (S3-based data lake). * Collaborate with internal consumers - reliability, analytics, and ML teams - to design efficient data models for their workflows. * Occasionally contribute to shared libraries or APIs in Python, Java, or C++ to support data capture and consumption. What We're Looking For Required: * 5+ years of experience as a Data Engineer or similar role building and maintaining production data pipelines. * Strong proficiency in Apache Spark or equivalent distributed data processing frameworks. * Experience with Airflow, Dagster, Prefect, or other data orchestration systems. Proficiency with data formats such as Avro, Parquet, and structured/numeric datasets. * Solid understanding of data modeling, schema evolution, and data quality best practices. * Good intuitions of how to model datasets logically and partition them physically for optimal query performance, both for analytical query engines and for playback or root-cause-analysis(e.g. ReRun, Foxglove etc) * Strong programming skills in Python, Java and/or Scala. * Experience with AWS data stack (S3, Glue, Athena, EMR, etc.) or similar cloud infrastructure. * Experience working with vision data pipelines(e.g. Images, video, depth) and building derived datasets from them. * Comfort working cross-functionally with software, hardware, and analytics teams in a fast-paced environment Nice to Have: * Experience with robotics vision data (RGB, depth, point clouds, or perception outputs) and how to process, store, and query them efficiently. * Familiarity with C++ and willingness to contribute to lightweight logging or data serialization libraries. * Exposure to large-scale robotics data, including high-frequency and high-fidelity sensor, telemetry and vision streams. * Experience with data catalog systems and metadata management. * Familiarity with data versioning or immutable dataset design (e.g., Apache Iceberg, Delta Lake) Why You'll Love Working Here * Join a small, high-impact team building the data foundation for humanoid robotics. * Work at the intersection of physical systems and large-scale data infrastructure. * Collaborate with talented roboticists, software engineers, and data scientists shaping the future of automation This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, Pittsburgh, or Bay Area offices.

at Parts Town See What We're All About As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That's key. But we're also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list! Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We're more interested in passionate people with fresh ideas from different backgrounds. That's what keeps us at the top of our game. We're proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain's Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years. If you're ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let's chat - Apply Today! Perks Parts Town Pride - check out our virtual tour and culture! Quarterly profit-sharing bonus Hybrid work schedule Team member appreciation events and recognition programs Volunteer opportunities Monthly IT stipend Casual dress code On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered. The Job at a Glance We are looking for a Data Engineer- Pipelines & Platform that will focus on building and maintaining reliable, scalable pipelines on our Google Cloud Platform (GCP) data ecosystem. They will ensure data from SAP, Salesforce, eCommerce, WMS, and other systems flows seamlessly into BigQuery through automated, monitored, and secure processes. You will play a pivotal and foundational role in shaping our data driven and AI mission by building the pipelines, products, and platforms that power the next generation of digital distribution. A Typical Day Design, build, and maintain ETL/ELT pipelines on GCP using Dataflow, Dataproc, or Cloud Data Fusion. Manage workflow orchestration with Cloud Composer (Airflow) for scheduling, retries, and monitoring. Optimize data ingestion from SAP, Salesforce, eCommerce, and WMS into BigQuery. Implement Pub/Sub streaming pipelines for near real-time use cases. Develop and manage bronze/silver layers (raw + cleansed) with best practices for schema design and partitioning. Implement data quality frameworks (Great Expectations, dbt tests, or custom Python checks) with automated alerts. Automate CI/CD for data pipelines using Cloud Build or GitHub Actions. Monitor cost/performance of pipelines with Cloud Monitoring & Logging. Document pipeline architecture and maintain data lineage via Dataplex or Collibra integration. To Land This Opportunity You have 4+ years of experience in data engineering, ideally with GCP as the primary cloud. You obtain deep expertise with BigQuery, Dataflow, Cloud Composer, and Pub/Sub. You're proficient in SQL and Python. You have hands-on experience with dbt for data transformations. You're familiar with Terraform (or Deployment Manager) for IaC. You have experience designing scalable ingestion frameworks from ERP/CRM/WMS/eCommerce. You have strong knowledge of security, IAM, and compliance in cloud data environments. You're an all-star communicator and are proficient in English (both written and verbal) You have a quality, high speed internet connection at home About Your Future Team Our IT team's favorite pastimes include corny jokes, bowling, pool, and good pizza. They like vehicles that go really fast, Harry Potter, and coffee…a lot (they'll hear you out on whether Dunkin or Starbucks gets your vote). At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported. We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $99,047.94 - 133,668.86 salary which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities. Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status. We are an E-Verify employer. For more information, please click on the following links: E-Verify Participation Poster: English | Spanish E-Verify Right to Work Poster: English | Spanish

Tsunami Tsolutions is seeking a motivated Data Scientist to join its Aviation Analytics department. This person will be responsible for developing and deploying solutions to various customers that utilize a wide range of analytics tools. They will work with team members and customers to identify new sources of value and take actions to capture it. The selected individual will also work to ensure data quality and provide metrics as indicators of the current state. This role will also require the presentation of findings to customers and senior management. NOTE: This position requires access to technologies and hardware subject to US national Security based export control requirements. All applicants must be US Citizen (8 USC 1324b(a)(3)), or otherwise authorized by the U.S. Government. NO Company Sponsorship offered. Responsibilities: • Working with stakeholders to understand complex business processes and data streams. • Collaborate with stakeholders and whiteboard solutions. • Identify, collect and clean data from multiple sources • Validate, interpret and provide business insights • Research, build, implement and evaluate various analytic techniques to select the best application • Work with team members to deploy solutions across the organization • Reporting periodic progress on projects, including tracking usage and value derived from the models Position Requirements • B.S degree in computer science, data science or engineering. Advanced Degree Preferred • 3-5 years of industry experience preferred • Experience building dashboards and visualizations using Qlik, Power BI, Tableau or similar • Strong programming skills on languages used in data science including Python, R and SQL • Advanced proficiency in Microsoft Excel with competency in vlookups, pivot tables, etc. • Ability to learn new concepts quickly and translate them into practical applications • Ability to effectively communicate findings to non-technical audiences • Experience building and implementing machine learning models in Python or R a plus Offer contingent upon successful completion of a background check and drug screen.

At PODS (Portable On Demand Storage), we're not just a leader in the moving and storage industry, we redefined it. Since 1998, we've empowered customers across the U.S. and Canada with flexible, portable solutions that put customers in control of their move. Whether it's a local transition or a cross-country journey, our personalized service makes any experience smoother, smarter, and more human. We're driven by a culture of trust, authenticity, and continuous improvement. Our team is the heartbeat of our success, and together we strive to make each day better than the last. If you're looking for a place where your work matters, your ideas are valued, and your growth is supported- PODS is your next destination. JOB SUMMARY The Data Engineer- Machine Learning is responsible for scaling a modern data & AI stack to drive revenue growth, improve customer satisfaction, and optimize resource utilization. As an ML Data Engineer, you will bridge data engineering and ML engineering: build high‑quality feature pipelines in Snowflake/Snowpark, Databricks, productionize and operate batch/real‑time inference, and establish MLOps/LLMOps practices so models deliver measurable business impact at scale. Note: This role is required onsite at PODS headquarters in Clearwater, FL. The onsite working schedule is Monday - Thursday onsite with Friday remote. It is NOT a remote opportunity. General Benefits & Other Compensation: Medical, dental, and vision insurance Employer-paid life insurance and disability coverage 401(k) retirement plan with employer match Paid time off (vacation, sick leave, personal days) Paid holidays Parental leave / family leave Bonus eligibility / incentive pay Professional development / training reimbursement Employee assistance program (EAP) Commuter benefits / transit subsidies (if available) Other fringe benefits (e.g. wellness credits) What you will do: ● Design, build, and operate feature pipelines that transform curated datasets into reusable, governed feature tables in Snowflake ● Productionize ML models (batch and real‑time) with reliable inference jobs/APIs, SLAs, and observability ● Setup processes in Databricks and Snowflake/Snowpark to schedule, monitor, and auto‑heal training/inference pipelines ● Collaborate with our Enterprise Data & Analytics (ED&A) team centered on replicating operational data into Snowflake, enriching it into governed, reusable models/feature tables, and enabling advanced analytics & ML-with Databricks as a core collaboration environment ● Partner with Data Science to optimize models that grow customer base and revenue, improve CX, and optimize resources ● Implement MLOps/LLMOps: experiment tracking, reproducible training, model/asset registry, safe rollout, and automated retraining triggers ● Enforce data governance & security policies and contribute metadata, lineage, and definitions to the ED&A catalog ● Optimize cost/performance across Snowflake/Snowpark and Databricks ● Follow robust and established version control and DevOps practices ● Create clear runbooks and documentation, and share best practices with analytics, data engineering, and product partners Also, you will DELIVER QUALITY RESULTS: Able to deliver top quality service to all customers (internal and external); Able to ensure all details are covered and adhere to company policies; Able to strive to do things right the first time; Able to meet agreed-upon commitments or advises customer when deadlines are jeopardized; Able to define high standards for quality and evaluate products, services, and own performance against those standards TAKE INITIATIVE: Able to exhibit tendencies to be self-starting and not wait for signals; Able to be proactive and demonstrate readiness and ability to initiate action; Able to take action beyond what is required and volunteers to take on new assignments; Able to complete assignments independently without constant supervision BE INNOVATIVE / CREATIVE: Able to examine the status quo and consistently look for better ways of doing things; Able to recommend changes based on analyzed needs; Able to develop proper solutions and identify opportunities BE PROFESSIONAL: Able to project a positive, professional image with both internal and external business contacts; Able to create a positive first impression; Able to gain respect and trust of others through personal image and demeanor ADVANCED COMPUTER USER: Able to use required software applications to produce correspondence, reports, presentations, electronic communication, and complex spreadsheets including formulas and macros and/or databases. Able to operate general office equipment including company telephone system What you will need: Bachelor's or Master's in CS, Data/ML, or related field (or equivalent experience) required 4+ years in data/ML engineering building production‑grade pipelines with Python and SQL Strong hands‑on with Snowflake/Snowpark and Databricks; comfort with Tasks & Streams for orchestration 2+ years of experience optimizing models: batch jobs and/or real‑time APIs, containerized services, CI/CD, and monitoring Solid understanding of data modeling and governance/lineage practices expected by ED&A It would be nice if you had: Familiarity with LLMOps patterns for generative AI applications Experience with NLP, call center data, and voice analytics Exposure to feature stores, model registries, canary/shadow deploys, and A/B testing frameworks Marketing analytics domain familiarity (lead scoring, propensity, LTV, routing/prioritization) MANAGEMENT & SUPERVISORY RESPONSIBILTIES • Direct supervisor job title(s) typically include: VP, Marketing Analytics • Job may require supervising Analytics associates No Unsolicited Resumes from Third-Party Recruiters Please note that as per PODS policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our Inclusive Diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that PODS will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person, or entity. DISCLAIMER The preceding job description has been designed to indicate the general nature of work performed; the level of knowledge and skills typically required; and usual working conditions of this position. It is not designed to contain, or be interpreted as, a comprehensive listing of all requirements or responsibilities that may be required by employees in this job. Equal Opportunity, Affirmative Action Employer PODS Enterprises, LLC is an Equal Opportunity, Affirmative Action Employer. We will not discriminate unlawfully against qualified applicants or employees with respect to any term or condition of employment based on race, color, national origin, ancestry, sex, sexual orientation, age, religion, physical or mental disability, marital status, place of birth, military service status, or other basis protected by law.

At PODS (Portable On Demand Storage), we're not just a leader in the moving and storage industry, we redefined it. Since 1998, we've empowered customers across the U.S. and Canada with flexible, portable solutions that put customers in control of their move. Whether it's a local transition or a cross-country journey, our personalized service makes any experience smoother, smarter, and more human. We're driven by a culture of trust, authenticity, and continuous improvement. Our team is the heartbeat of our success, and together we strive to make each day better than the last. If you're looking for a place where your work matters, your ideas are valued, and your growth is supported- PODS is your next destination. JOB SUMMARY The Data Engineer- Machine Learning is responsible for scaling a modern data & AI stack to drive revenue growth, improve customer satisfaction, and optimize resource utilization. As an ML Data Engineer, you will bridge data engineering and ML engineering: build high‑quality feature pipelines in Snowflake/Snowpark, Databricks, productionize and operate batch/real‑time inference, and establish MLOps/LLMOps practices so models deliver measurable business impact at scale. Note: This role is required onsite at PODS headquarters in Clearwater, FL. The onsite working schedule is Monday - Thursday onsite with Friday remote. It is NOT a remote opportunity. General Benefits & Other Compensation: * Medical, dental, and vision insurance * Employer-paid life insurance and disability coverage * 401(k) retirement plan with employer match * Paid time off (vacation, sick leave, personal days) * Paid holidays * Parental leave / family leave * Bonus eligibility / incentive pay * Professional development / training reimbursement * Employee assistance program (EAP) * Commuter benefits / transit subsidies (if available) * Other fringe benefits (e.g. wellness credits) What you will do: ● Design, build, and operate feature pipelines that transform curated datasets into reusable, governed feature tables in Snowflake ● Productionize ML models (batch and real‑time) with reliable inference jobs/APIs, SLAs, and observability ● Setup processes in Databricks and Snowflake/Snowpark to schedule, monitor, and auto‑heal training/inference pipelines ● Collaborate with our Enterprise Data & Analytics (ED&A) team centered on replicating operational data into Snowflake, enriching it into governed, reusable models/feature tables, and enabling advanced analytics & ML-with Databricks as a core collaboration environment ● Partner with Data Science to optimize models that grow customer base and revenue, improve CX, and optimize resources ● Implement MLOps/LLMOps: experiment tracking, reproducible training, model/asset registry, safe rollout, and automated retraining triggers ● Enforce data governance & security policies and contribute metadata, lineage, and definitions to the ED&A catalog ● Optimize cost/performance across Snowflake/Snowpark and Databricks ● Follow robust and established version control and DevOps practices ● Create clear runbooks and documentation, and share best practices with analytics, data engineering, and product partners Also, you will DELIVER QUALITY RESULTS: Able to deliver top quality service to all customers (internal and external); Able to ensure all details are covered and adhere to company policies; Able to strive to do things right the first time; Able to meet agreed-upon commitments or advises customer when deadlines are jeopardized; Able to define high standards for quality and evaluate products, services, and own performance against those standards TAKE INITIATIVE: Able to exhibit tendencies to be self-starting and not wait for signals; Able to be proactive and demonstrate readiness and ability to initiate action; Able to take action beyond what is required and volunteers to take on new assignments; Able to complete assignments independently without constant supervision BE INNOVATIVE / CREATIVE: Able to examine the status quo and consistently look for better ways of doing things; Able to recommend changes based on analyzed needs; Able to develop proper solutions and identify opportunities BE PROFESSIONAL: Able to project a positive, professional image with both internal and external business contacts; Able to create a positive first impression; Able to gain respect and trust of others through personal image and demeanor ADVANCED COMPUTER USER: Able to use required software applications to produce correspondence, reports, presentations, electronic communication, and complex spreadsheets including formulas and macros and/or databases. Able to operate general office equipment including company telephone system What you will need: * Bachelor's or Master's in CS, Data/ML, or related field (or equivalent experience) required * 4+ years in data/ML engineering building production‑grade pipelines with Python and SQL * Strong hands‑on with Snowflake/Snowpark and Databricks; comfort with Tasks & Streams for orchestration * 2+ years of experience optimizing models: batch jobs and/or real‑time APIs, containerized services, CI/CD, and monitoring * Solid understanding of data modeling and governance/lineage practices expected by ED&A It would be nice if you had: * Familiarity with LLMOps patterns for generative AI applications * Experience with NLP, call center data, and voice analytics * Exposure to feature stores, model registries, canary/shadow deploys, and A/B testing frameworks * Marketing analytics domain familiarity (lead scoring, propensity, LTV, routing/prioritization) MANAGEMENT & SUPERVISORY RESPONSIBILTIES * Direct supervisor job title(s) typically include: VP, Marketing Analytics * Job may require supervising Analytics associates No Unsolicited Resumes from Third-Party Recruiters Please note that as per PODS policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our Inclusive Diversity values.Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that PODS will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person, or entity. DISCLAIMER The preceding job description has been designed to indicate the general nature of work performed; the level of knowledge and skills typically required; and usual working conditions of this position. It is not designed to contain, or be interpreted as, a comprehensive listing of all requirements or responsibilities that may be required by employees in this job. Equal Opportunity, Affirmative Action Employer PODS Enterprises, LLC is an Equal Opportunity, Affirmative Action Employer. We will not discriminate unlawfully against qualified applicants or employees with respect to any term or condition of employment based on race, color, national origin, ancestry, sex, sexual orientation, age, religion, physical or mental disability, marital status, place of birth, military service status, or other basis protected by law.

At PODS (Portable On Demand Storage), we're not just a leader in the moving and storage industry, we redefined it. Since 1998, we've empowered customers across the U.S. and Canada with flexible, portable solutions that put customers in control of their move. Whether it's a local transition or a cross-country journey, our personalized service makes any experience smoother, smarter, and more human. We're driven by a culture of trust, authenticity, and continuous improvement. Our team is the heartbeat of our success, and together we strive to make each day better than the last. If you're looking for a place where your work matters, your ideas are valued, and your growth is supported- PODS is your next destination. JOB SUMMARY The Data Engineer- Machine Learning is responsible for scaling a modern data & AI stack to drive revenue growth, improve customer satisfaction, and optimize resource utilization. As an ML Data Engineer, you will bridge data engineering and ML engineering: build high‑quality feature pipelines in Snowflake/Snowpark, Databricks, productionize and operate batch/real‑time inference, and establish MLOps/LLMOps practices so models deliver measurable business impact at scale. Note: This role is required onsite at PODS headquarters in Clearwater, FL. The onsite working schedule is Monday - Thursday onsite with Friday remote. It is NOT a remote opportunity. General Benefits & Other Compensation: Medical, dental, and vision insurance Employer-paid life insurance and disability coverage 401(k) retirement plan with employer match Paid time off (vacation, sick leave, personal days) Paid holidays Parental leave / family leave Bonus eligibility / incentive pay Professional development / training reimbursement Employee assistance program (EAP) Commuter benefits / transit subsidies (if available) Other fringe benefits (e.g. wellness credits) What you will do: ● Design, build, and operate feature pipelines that transform curated datasets into reusable, governed feature tables in Snowflake ● Productionize ML models (batch and real‑time) with reliable inference jobs/APIs, SLAs, and observability ● Setup processes in Databricks and Snowflake/Snowpark to schedule, monitor, and auto‑heal training/inference pipelines ● Collaborate with our Enterprise Data & Analytics (ED&A) team centered on replicating operational data into Snowflake, enriching it into governed, reusable models/feature tables, and enabling advanced analytics & ML-with Databricks as a core collaboration environment ● Partner with Data Science to optimize models that grow customer base and revenue, improve CX, and optimize resources ● Implement MLOps/LLMOps: experiment tracking, reproducible training, model/asset registry, safe rollout, and automated retraining triggers ● Enforce data governance & security policies and contribute metadata, lineage, and definitions to the ED&A catalog ● Optimize cost/performance across Snowflake/Snowpark and Databricks ● Follow robust and established version control and DevOps practices ● Create clear runbooks and documentation, and share best practices with analytics, data engineering, and product partners Also, you will DELIVER QUALITY RESULTS: Able to deliver top quality service to all customers (internal and external); Able to ensure all details are covered and adhere to company policies; Able to strive to do things right the first time; Able to meet agreed-upon commitments or advises customer when deadlines are jeopardized; Able to define high standards for quality and evaluate products, services, and own performance against those standards TAKE INITIATIVE: Able to exhibit tendencies to be self-starting and not wait for signals; Able to be proactive and demonstrate readiness and ability to initiate action; Able to take action beyond what is required and volunteers to take on new assignments; Able to complete assignments independently without constant supervision BE INNOVATIVE / CREATIVE: Able to examine the status quo and consistently look for better ways of doing things; Able to recommend changes based on analyzed needs; Able to develop proper solutions and identify opportunities BE PROFESSIONAL: Able to project a positive, professional image with both internal and external business contacts; Able to create a positive first impression; Able to gain respect and trust of others through personal image and demeanor ADVANCED COMPUTER USER: Able to use required software applications to produce correspondence, reports, presentations, electronic communication, and complex spreadsheets including formulas and macros and/or databases. Able to operate general office equipment including company telephone system What you will need: Bachelor's or Master's in CS, Data/ML, or related field (or equivalent experience) required 4+ years in data/ML engineering building production‑grade pipelines with Python and SQL Strong hands‑on with Snowflake/Snowpark and Databricks; comfort with Tasks & Streams for orchestration 2+ years of experience optimizing models: batch jobs and/or real‑time APIs, containerized services, CI/CD, and monitoring Solid understanding of data modeling and governance/lineage practices expected by ED&A It would be nice if you had: Familiarity with LLMOps patterns for generative AI applications Experience with NLP, call center data, and voice analytics Exposure to feature stores, model registries, canary/shadow deploys, and A/B testing frameworks Marketing analytics domain familiarity (lead scoring, propensity, LTV, routing/prioritization) MANAGEMENT & SUPERVISORY RESPONSIBILTIES • Direct supervisor job title(s) typically include: VP, Marketing Analytics • Job may require supervising Analytics associates No Unsolicited Resumes from Third-Party Recruiters Please note that as per PODS policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our Inclusive Diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that PODS will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person, or entity. DISCLAIMER The preceding job description has been designed to indicate the general nature of work performed; the level of knowledge and skills typically required; and usual working conditions of this position. It is not designed to contain, or be interpreted as, a comprehensive listing of all requirements or responsibilities that may be required by employees in this job. Equal Opportunity, Affirmative Action Employer PODS Enterprises, LLC is an Equal Opportunity, Affirmative Action Employer. We will not discriminate unlawfully against qualified applicants or employees with respect to any term or condition of employment based on race, color, national origin, ancestry, sex, sexual orientation, age, religion, physical or mental disability, marital status, place of birth, military service status, or other basis protected by law.

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise Data Warehouse. This individual will perform development, analysis, testing, debugging, documentation, implementation, and maintenance of interfaces to support the Enterprise Data Warehouse and related applications. They will consult with other technical resources and key departmental users on solutions and best practices. They will monitor performance and effectiveness of the data warehouse and recommend changes as appropriate. Location: Candidates must reside in the state of Wisconsin for consideration. This position is eligible to work at your home office (reliable internet is required), at our office in Brookfield or Menasha, or a combination of both in our hybrid workplace model. Hours: 1.0 FTE, 40 hours per week, 8am-5pm Monday through Friday, may be required to work later hours when system changes are being implemented or problems arise Check out our 2024 Community Report to learn a little more about the difference our employees make in the communities we live and work in. As an employee, you will have the opportunity to work hard and have fun while getting paid to volunteer in your local neighborhood. You too, can be part of the team and making a difference. Apply to this position to learn more about our team. Job Responsibilities: Perform end to end delivery of data interfaces in various stages of the Enterprise Data Warehouse in accordance with professional standards and industry best practice Perform all phases of the development lifecycle including solution design, creation of acceptance criteria, implementation, technical documentation, development and execution of test cases, performance monitoring, troubleshooting, data analysis, and profiling Consult with Developers, Engineers, DBAs, key departmental stakeholders, data governance and leadership on technical solutions and best practice Monitor and audit the Enterprise Data Warehouse for effectiveness, throughput, and responsiveness. Recommend changes as appropriate. Troubleshoot customer complaints related to system performance issues Maintain effective communication with customers from all departments for system development, implementation, and problem resolution Required to take call to assist in resolution of technical problems Other duties and responsibilities as assigned Job Requirements: Requires Associate Degree in Computer Science, Business, or related technical field; equivalent years of experience may be substituted Minimum of 1 year experience in program interfacing required Experience with T-SQL development, SSIS development, and database troubleshooting skills required Network Health is an Equal Opportunity Employer