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CRM Data Analyst – Junior Salesforce Administrator Hilco Global Northbrook, IL About Hilco Global is the world’s preeminent authority on maximizing the value of assets for both healthy and distressed companies. We provide a comprehensive range of financial services that leverage a unique blend of deep restructuring and advisory experience in combination with capital solutions and principal investing through our merchant banking capabilities. Hilco Global’s unrivaled track record has been hard-earned by serving as a trusted advisor, agent, investor and/or principal in transactions of all sizes and scopes for many of the world’s largest, most innovative and best-known companies. In each engagement, we work side-by-side with clients to deliver the best possible outcome by aligning interests and providing strategic insight, advice, and – increasingly – access to the capital required to complete the deal. Operating as a privately held, diversified financial services holding company, Hilco Global, its more than twenty highly specialized business units and 800+ professionals are positioned across five continents. The CRM Data Analyst – Junior Salesforce Administrator will report directly to the VP/Director of Customer Relationship Management (CRM) and Corporate Intelligence. This role requires tenacity to support the Hilco CRM Team with data integrity initiatives, contact and company research, cleansing event registration lists, and standardizing fragmented data formats. This individual must effectively work independently on assignments and in a team environment with the Chief Marketing Officer, Head of Global Business Development Operations, SVP, Marketing, VP/Director of CRM and Corporate Intelligence, Associate CRM Manager, and Database Analyst. The objective for this person is to manage Hilco’s Salesforce CRM database to achieve greater data Responsibilities List Cleansing: • Harmonizing contact lists, identifying data gaps, sourcing missing data, and formatting consistencies. • Leveraging Microsoft Excel functions, formulas, Visual Basic for Applications (VBA), or related software for ease of repeated data structuring, manipulation, and formatting. • Preparing CRM import-ready spreadsheets for the database ingestion by the CRM Analyst. Data Hygiene: • Analyze CRM data to identify trends, patterns, and discrepancies. • Standardizing existing CRM data entries, consolidating data variations into one unified version. • Grooming CRM database contacts and company records, addressing database gaps and inconsistencies where applicable. • Documenting current and proper data cleanliness procedures and best practices while continually testing and refining operations. • Oversee CRM database enrichment via Introhive portal and syndicated data providers through automation or large-scale manual imports. Data Sourcing: • Sourcing company and contact information from data providers such as LinkedIn, Pitchbook, Debtwire, Capital-IQ, ZoomInfo, and RocketReach, to efficiently groom existing data reports for greater accuracy and completeness. • Integrating existing database company records with SIC and NAISC code integrations. • Working with high volumes of contact and company-based information data, both from within the company database and from outside sources. Data Analysis: • Conduct CRM adoption and BD analysis and Corporate Intelligence analysis for sales enablement insights. • Participate in team meetings and provide updates on project milestones and challenges. • Experiment with the effectiveness of AI tools to maximize efficiency in populating, reformatting, and cleaning data. Technical Learning: • Learn new platforms such as Salesforce, PowerBI, Tableau, and GPT applications such as OpenAI, ChatGPT, Google Gemini, Grok, etc.). • Pursue certifications in the above to demonstrate competency. • Apply new skills to increase performance/effectiveness. Additional duties and responsibilities as required. Qualifications • BA or BS degree in Marketing, Communications, Public Relations, Analytics, Management Information Systems, or a related field. • Experience with CRM systems, such as Salesforce, HubSpot, Microsoft, etc. • Highly organized and detail-oriented individual who thrives in dynamic and fast-paced working environments. • Ability to prioritize and manage multiple projects/processes at one time. • A strong team player who is comfortable working in matrix environments. • Strong verbal and written communication skills. • Ability to maintain high confidentiality of personally identifiable information. • Proficient in Microsoft Office (e.g., Microsoft Excel, PowerPoint, Word, and Outlook). Characteristics of Success • Strong work ethic and interpersonal skills, emphasizing teamwork, collaboration, initiative, and integrity. • Detail-oriented and capable of working through large amounts of data efficiently. • Hands-on, resourceful, and proactive professional, able to work autonomously and operate as part of a strong, collaborative team. • Solid interpersonal communication skills and ability to work with employees at all levels of the organization. • Strong research abilities, ability to source companies, contact data, and hunt down key information. In compliance with the New York & Illinois Pay Transparency Law, the base salary range for this role in Illinois is between $75,000-$85,000. This salary range does not include discretionary bonus or other forms of compensation or benefits which are offered in connection with this job. Several factors are considered when determining a candidate’s compensation. Please note that the salary range listed for this position is based on the level of experience outlined in the job description. If a candidate's experience differs from the requirements, the salary may be adjusted accordingly. Hilco Global is an equal opportunity employer. Qualified candidates will be considered on merits and without regard to race, religion, color, national origin, sexual orientation, genetic information, marital status, gender, veteran, or disability status. Hilco Global strives to comply with all applicable local/state regulations regarding displaying salary ranges. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, Hilco Global is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. https://hilcoglobal.com/careers-about/

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs. Job Description We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week. Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan from time to time. Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to: Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information Design, prototype, and implement new approaches for solving problems. Collaborate with a cross-functional team, including software developers, architects, and business leaders Create clear and easy to understand documentation for models Monitor model performance and implement iterative improvements Desired Skills & Experience Master’s degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) Proficiency in SQL or other data querying language An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc. Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc. Aptitude and willingness to learn new things and teach others Strong written and oral communication skills 2-4 years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for “Predictive Modeler”. (Preferred) PhD in a quantitative discipline (Preferred) Experience in the insurance industry Compensation/Benefits The salary offered will be commensurate with skills and experience. We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office. Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you! Equal Employment Opportunity Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law. *Please note that the ability to work in the U.S. without current or future sponsorship is a requirement. #LI-DNI

Technical Staff - Data Center / Thermal Architect From applied research to advanced engineering, the ISG CTO Engineering Technologist team has the expertise to shape ground-breaking products, material and processes. It’s a fascinating field of work. We’re involved in assessing the competition, developing technology and product strategies and generating intellectual property. We lead technology investigations, analyze industry capabilities and recommend potential acquisitions or vendor partner opportunities. Our insights influence product architecture and definitions. And we work with colleagues across the business to ensure our products always lead the way. Join us to do the best work of your career and make a profound social impact as a Technical Staff- Data Center / Thermal Architect on our Engineering Technologist Team in Austin, Texas. What you’ll achieve As a Technical Staff, Data Center Thermal Architect, you will have the opportunity to collaborate on the architecture of next generation large scale AI Infrastructure including accelerated compute, AI fabrics and AI optimized storage. In addition to AI IT technologies, this role will leverage state-of-the-art rack and data center power solutions and innovative liquid cooling technologies. As part of an advanced technology pod, you will define long-term technology strategies utilizing information from CTO, marketing, development, manufacturing, procurement, customers and industry You will: Be responsible for driving the architecture of end-to-end solutions from server to data center, including air and liquid cooled servers, integrated rack solutions, power distribution and heat rejection Innovate power-centric solutions for increasingly dense IT environments and engage with high profile AI customers to optimize solutions for their applications and tune the system for maximum performance Develop solution Overview and validate with Engineering and propose BOM/ SKUs to meet technical requirements and re‐view with Engineering & shape the offer accordingly Design Air, Liquid and other cooling solutions based on Datacenter and customer requirements and design Direct Liquid Cooling for different geographic areas Optimize cost, energy efficiency and performance from IT to the datacenter by driving hardware design and required infrastructure this includes addressing liquid cooling solutions and other platform engineering aspects that scale based on datacenter requirements, hardware topologies that are optimized for efficiency and performance for AI workloads 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 Experience collaborating with customers on architectural and design requirements spanning IT Systems to Datacenter Thermal technologies including heat transfer and the ability to analyze component /system level problems and apply advanced cooling technologies Deep knowledge of thermal testing, flow and thermal measurement techniques, and the use of FEA, CAD & CFD tools to help optimize and guide thermal solutions along with the ability to optimize thermal solutions for operating environments, business needs, and product requirements is a core requirement Solid understanding and knowledge of and relationships with key suppliers of data center power and thermal management components Ability to collaborate with Dell’s technology partners and supply base on cutting edge technology development and work with ODMs on mechanical, thermal & electrical aspects of system design including experience interfacing effectively with suppliers to ensure they are both doing research and providing information on products or services that have value to the company, instigating and coordinating these efforts as necessary on a continual basis Understanding of the competitive and business needs while developing technical solutions including knowledge of manufacturing processes and the tolerance control requirements for high volume production environments, and author architecture specification to be a guiding light for development of future products. Desirable Requirements 15 + years of related experience. Bachelor’s degree or equivalent experience in Mechanical Engineering with emphasis on thermal science, fluid dynamics or heat transfer. Years of experience offset with an advanced degree Ability to understand business needs while developing technical solutions; need to be able to travel 20%-30% to assess customer requirements and develop blueprints Compensation: Dell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role is $230,000.00 to $295,000.00 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 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.

Role :Data Analyst Client : DC Government Location : Washington DC (Hybrid) Job Description: Duties: Analyzes information and statistical data to prepare reports and studies for use by professionals. Creates charts and graphics to present statistical analysis in an easily digestible format for a non-technical audience Create public-facing written reports to present analytic findings to stakeholders and the public in accessible language Plans, organizes, and conducts research focused on education and workforce related topics. Minimum Education/Certification Requirements: Bachelor’s degree in Data Analytics or related field, or equivalent experience Experience working in R required Experience working in Tableau required Experience of working with business stakeholders to support their data needs. Experience presenting technical information to non-technical audiences Experience working with education and workforce-related data preferred CONTRACT JOB DESCRIPTION Responsibilities: 1. Demonstrates expertise in conveying technical and functional concepts for a specific technical specialty. 2. Identifies improvements to project standards to achieve high quality services/products. 3. Identifies best practices and standards for the use of the product. 4. Delivers support and design for industry specific technologies that require integration with systems or networks. 5. Interacts with executive level business users or technical experts. 6. Functions as a niche technical SME. 7. Lead experience with technical expertise across large, complex implementations for systems. Minimum Education/Certification Requirements: Bachelor’s degree in IT or related field or equivalent experience Compensation: $70.00 - $75.00 per hour About Us AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues. AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

About the Team The Data Visualization team at OpenAI is responsible for building and maintaining all the visualization tools used for analyzing various software and hardware aspects of our custom-built hyperscale supercomputers. This includes visualizing hardware (nodes, network, racks, etc.), monitoring how a user’s job is running on the platform, and assessing the health of the underlying systems. These tools allow us to analyze, improve, and operate the platform for running and training the world’s largest AI models. We work at the cutting edge of speed and scale, combining the traditions of High-Performance Computing (HPC) with a modern cloud and containerized environment. Our team is incubated within OpenAI’s Research team, operating at the forefront of AI innovations. The Platform Visualization team complements the existing platform teams that ensure our researchers are minimally impacted by hardware faults. We maximize available supercomputing capacity for researchers and maintain the reliability, scalability, and user-friendliness of job lifecycle management, with an emphasis on efficient job scheduling, quota management, and job execution workflows. About the Role As a Software Engineer on the Platform Visualization team, you will play a critical role in designing, developing, and maintaining the full-stack visualization tools that are essential for analyzing the software and hardware aspects of OpenAI’s hyperscale supercomputers. Your work will involve creating intuitive front-end interfaces and back-end systems for visualizing hardware components, monitoring training job performance on the platform, and ensuring the health of underlying systems. In this role, you will collaborate closely with other engineering and research teams to gather requirements, understand visualization needs, and deliver full-stack solutions that enhance our ability to analyze, improve, and operate the platform. Key Responsibilities: Develop and maintain full-stack visualization tools for hardware and software analysis. Design intuitive front-end interfaces and robust back-end systems for monitoring the performance and health of supercomputer systems. Collaborate with researchers and engineers to understand their needs and deliver effective full-stack visualization solutions. Ensure high performance, reliability, and scalability of visualization tools across both front-end and back-end systems. Continuously improve existing tools and develop new features to meet evolving requirements. Qualifications: Strong experience in full-stack software development, with a focus on building scientific or infrastructure visualization tools. Proficiency in both front-end and back-end programming languages such as Python, JavaScript, SQL, or similar. Familiar with front-end technologies like React and back-end technologies like Node.js, and databases like Snowflake. Experience with visualization libraries and frameworks (e.g., Plotly, Grafana). Strong understanding of full-stack architecture, design principles, and best practices. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Bonus: Prior experience technically leading a team of 4+ engineers, as this is a 0-1 effort with team growth on the horizon Bonus if familiar with High-Performance Computing (HPC) environments and modern cloud/container technologies (e.g., Kubernetes, Azure). This role offers the opportunity to work on some of the largest and most advanced AI infrastructure in the world, directly contributing to the success of OpenAI and the advancement of the field of AI. If you are passionate about cutting-edge technology and eager to tackle complex challenges, we would love to hear from you About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Description The Senior Superintendent is expected to have a minimum of 10 years experience; preferably in the data center and advanced technology market. The Senior Superintendent work closely with all members of the project team and supervise all craft employees. Responsibilities will include but may not be limited to the following: Oversee, manage, and mentor project superintendents and assistant superintendents. Participate during the proposal and pre-construction phase of a project to develop a project plan and validate overall schedule duration. Lead a collaborative field planning process through the use of short interval planning and production tracking. Create construction schedules, perform regular updates, monitor logic relationships, and insert new activities and impacts. Coordinate jobsite logistics and maintain relationships with neighboring occupants. Negotiate with authorities having jurisdiction to achieve project occupancy milestones. Lead DPR’s injury-free environment safety program. Coordinate subcontractor work scopes, scheduling, and resource-loading in conjunction with DPR’s self-perform work crews. Foster the development of foreman to grow into future superintendents. Professionally represent DPR field operations as primary interface with owner and design team. Qualifications We are looking for a flexible, detail-oriented team player with the ability to manage multiple tasks, produce quality work, and consistently meet deadlines. The successful candidate will possess: Excellent listening skills and strong communication skills. Ability to identify and resolve complex issues. Effective participation in a team environment. Ideally full ABC license. Construction supervisor license. Proficient computer skills in Microsoft Office Suite, project management software (Prolog or similar), and scheduling software (Primavera or similar). 10+ years of experience as a commercial construction superintendent, preferably within DPR’s core market projects. A strong work ethic and a “can-do” attitude. This position is salaried. #LI-RH DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together—by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers .

Thank you for your interest in our company! To apply, click on the button above. You will be required to create an account (or sign in with an existing account). Your account will provide you access to your application information. The email address used in establishing your account will be used to correspond with you throughout the application process. Please be sure and check the spam folder. You may review, modify, or update your information by visiting and logging into your account. JOB FUNCTION / SUMMARY: Manages the use, importance, quality, reliability and integrity of data by partnering with all areas of the organization to facilitate the integration of information into long term informational strategy. Manages Business Information with responsibility for content and data design, quality management, integration, and outsourcing, as well as data access and metadata management. Responsible for data life cycle control, allowing for traceability from data origination to exploitation. Partners with information technology to define new tables/fields/data sources to support customer and reporting requirements. ESSENTIAL DUTIES & RESPONSIBILITIES: Provide proactive leadership in identifying and developing projects involving or improving data management, quality and processing. Identify and resolve data gaps within information repository, and track resolutions to production. Apply architectural concepts to design technological solutions that meet customer, operational and reporting data requirements, leveraging existing technologies when possible, and ensure that new solutions are designed for optimal usefulness. Assist in the definition, creation and distribution of enterprise business intelligence reporting. Create intake process for new data requests and data enhancements, establish priority/ranking for requests and obtain buy-in from principal stakeholders, and create a consistent development, testing, and release cycle for promotion of new data measures to production environments. Identify new informational development opportunities across the enterprise and assist in creating high level documentation for review and prioritization at the Informational Governance Committee though a strategic partnership with the EPO when necessary. Participates in approved prioritized projects and informational requests that create enterprise information to be included in long term informational repository (One Version Platform). Manage data and information delivery processes and development to ensure inclusion in long term informational strategy. Ensure proper reconciliation and validation processes are followed that certify data feeds from source into information repository (One Version Platform), within the information repository (One Version Platform) itself, and into Informational Reporting. Assist in identification of data gaps, and manage projects to resolve gaps in core data, leading ongoing mapping design, development and validation as necessary. Ensure proper documentation and maintenance of data dictionaries for all data sources, including data, measures, KPIs necessary for reporting and analytics. Identify and assist in the development of reference and master data as needed to support long term informational strategy. Develop necessary process, procedures and documentation to streamline information identification and inclusion in long term informational strategy. Act as subject matter expert on financial, customer, and other data & systems; maintain knowledge of current BI tools, methods and best practices, and recommend and implement process improvements. Other duties and special projects as assigned. SUPERVISORY RESPONSIBILITIES: Carries out supervisory responsibilities in accordance with the organization's policies, procedures and applicable laws; Provides guidance and oversight to and is responsible for the coordination and evaluation of the assigned team. Responsibilities may include interviewing, hiring and training associates; planning, assigning and directing work; performance management; associate compensation; approving expense reports; addressing concerns and resolving problems. MINIMUM REQUIRED EDUCATION, EXPERIENCE & KNOWLEDGE: Bachelor’s degree in Business, Finance, or related field required Master’s degree preferred 7 years of experience in bank reporting, profitability systems or related experience required An equivalent combination of education, training, and experience may be considered Advanced understanding of banking, financial services, and/or investment industry Advanced understanding of financial reporting and analytics. Advanced understanding of reporting tools and platforms. Advanced understanding of database and information warehousing ESSENTIAL MENTAL & PHYSICAL REQUIREMENTS: Ability to travel if required to perform the essential job functions Ability to work under stress and meet deadlines Ability to operate related equipment to perform the essential job functions Ability to read and interpret a document if required to perform the essential job functions Ability to lift/move/carry approximately 10 pounds if required to perform the essential job functions. If the employee is unable to lift/move/carry this weight and can be accommodated without causing the department/division an “undue hardship” then the employee must be accommodated; hence omitting lifting/moving/carrying as a physical requirement. Equal Opportunity/Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religious beliefs, national origin, ancestry, citizenship, sex, gender, sexual orientation, gender identity, marital status, age, physical or mental disability or history of disability, genetic information, status as a protected veteran, disabled veteran, or other protected characteristics as required by federal, state and local laws.

Member of Technical Staff - Data Engineer Location: San Francisco, CA Role Type: Full-time, Individual Contributor About Us Sage Labs is redefining product discovery with AI-driven search and personalization. We operate at the intersection of machine learning, distributed systems, and high-performance computing, tackling some of commerce’s toughest engineering challenges. We have a flat structure that prioritizes execution over hierarchy. As a Data Engineer you’ll design and build the core data infrastructure powering our platform, ensuring seamless data flow at scale. Your Impact Architect and maintain ETL pipelines to ingest and process third-party data Build real-time and batch pipelines that power AI-driven search, recommendations, and personalization Optimize storage, retrieval, and performance for AI models Enhance data lineage, observability, and governance Partner with AI engineers and backend teams to optimize data flows Who You Are 8+ years in data engineering, infrastructure, or backend systems Scaled data systems from 0 to 1, including data catalogs and metadata management Hands-on with Kafka, Flink, Beam, or Spark Proficient in BigQuery, Snowflake, or Redshift or other real-time toolkits Strong SQL, Python, and distributed systems background Familiarity with vector databases and AI-powered data pipelines Why Join Us? This is a high-impact, high-ownership role where you'll own a lot Work alongside AI experts and startup veterans Rare opportunity to shape data systems in a 0-to-1 environment Competitive compensation & equity—We’re in this for the long haul If you're passionate about designing scalable data systems for AI-driven applications, we want to hear from you Apply now or reach out to build@sagelabs.ai No recruiters or agencies please

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Internship Overview: The Advanced Intelligence (AI) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics, and predictive analytics to identify and solve high-value business questions. The AI team is actively seeking a visual data science research intern who will focus on the development and implementation of novel visual analytics solutions to support exploratory and impactful problems across Lilly’s clinical research, commercial, or manufacturing services. This role requires creativity, curiosity, and strong collaboration skills to define and prototype visualization approaches that enhance data-driven decision-making in complex domains. Responsibilities: Conduct applied visualization research to explore new techniques, evaluate design approaches, and contribute to tools that support data exploration, decision-making, and storytelling for business and scientific users Develop custom visualizations using modern data visualization libraries (e.g., D3.js, Plotly, Vega, Observable) to convey complex insights clearly and effectively Build frontend-focused web applications (e.g., using React, Vue, or similar frameworks) that integrate interactive data visualizations and support user-driven exploration of data Design clean, intuitive user interfaces and user experiences that enhance usability and engagement with analytical products Share and present visual products and design rationale with stakeholders and team members, incorporating feedback iteratively Basic Qualifications: Pursuing a PhD or master's degree in computer science, data science, human-computer interaction, information visualization, or a related technical field Demonstrated experience designing and building interactive data visualizations using tools such as D3.js, Vega, Vega-Lite, Plotly, or similar libraries Proficient in web development, particularly frontend technologies such as HTML/CSS, JavaScript, React, or Vue, and able to build responsive, user-friendly interfaces Understanding of UI/UX principles and best practices for designing intuitive user experiences Additional Skills/Preferences: Completed graduate-level coursework or research in data visualization, machine learning, human-centered computing, or visual analytics Strong understanding of advanced visualization techniques, including force-directed layouts, network diagrams, and other graph-based algorithms Publication in a top-tier visualization or HCI conference or journal (e.g., IEEE VIS, ACM CHI, EuroVis) Experience with data science workflows, including data cleaning, transformation, analysis, and visualization in Python or R Proficient in building and integrating RESTful APIs to support interactive visual applications Experience working in cloud environments (e.g., AWS, Azure, GCP) and using version control tools like Git Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $43,000 - $110,000 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Are you ready to make an impact? West Monroe is seeking a Senior Consultant with expertise in Data Governance and Strategy to join our growing Data & Analytics practice . This role will focus on helping clients design and implement data governance frameworks, policies, and strategies that enable them to unlock the full value of their data assets. As a Senior Consultant, you will work collaboratively with clients and cross-functional teams to deliver impactful solutions that drive business outcomes. Responsibilities Collaborate with clients to assess their current data governance maturity and identify gaps. Develop and implement data governance frameworks, policies, and processes tailored to client needs. Lead workshops and stakeholder interviews to define data ownership, stewardship, and accountability models. Design strategies for data quality management, metadata management, and master data management. Provide actionable recommendations for improving data accessibility, security, and compliance. Support clients in aligning data governance initiatives with broader business goals and regulatory requirements. Communicate progress, risks, and findings to clients and internal leadership. Mentor junior team members and foster their growth in data governance and analytics expertise. Support business development efforts by identifying opportunities for additional client engagements. Qualifications 5+ years of experience in data governance, data strategy, or related fields. Proven track record of designing and implementing data governance frameworks in diverse industries. Strong understanding of data management concepts, including data quality, metadata, and master data management. Familiarity with data privacy regulations (e.g., GDPR, CCPA) and compliance standards. Experience with data governance tools (e.g., Collibra, Informatica, Alation, etc.) is a plus. Exceptional problem-solving and analytical skills with a focus on delivering client value. Excellent communication and presentation skills, with the ability to convey complex concepts to non-technical audiences. Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field. Advanced degrees or certifications in data governance, data management, or analytics are highly preferred. Hybrid role: 2x per week in office Ability to travel to client sites 30 to 50% Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here . Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date. Seattle or Washington, D.C. $125,500 — $147,600 USD Los Angeles $131,500 — $154,700 USD New York City or San Francisco $137,400 — $161,700 USD A location not listed above $119,500 — $140,600 USD Other consultancies talk at you. At West Monroe, we work with you. We’re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions. The combination of business and technology is not new, but how we bring them together is unique. We’re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come. At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next. You’ll feel the difference in how we work. We show up personally. We’re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn’t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact. West Monroe is an Equal Employment Opportunity Employer We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion . If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com . Please review our current policy regarding use of generative artificial intelligence during the application process . If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here .

General Manager, AI Data Labeling Remote, San Francisco About Wing Wing is one of the world's largest virtual talent companies, venture-backed and based in San Francisco. Leveraging our scale, millions of applicants, and other operational expertise, we’re launching a dedicated AI data labeling & annotation subsidiary, empowering exceptional people to play a defining role in training the next generation of AI. We’re hiring a General Manager to run this business end-to-end. About the Role As General Manager, AI Data Labeling, you will own P&L, strategy, go-to-market, delivery/quality, security & compliance, and team building. You’ll build the business from zero, close key customers, help set up the operating engine, and report directly to Wing’s CEO. Responsibilities: - Acquire new business from AI labs and tier-1 tech companies via your network, digital/in-person outbound - Own enterprise sales cycles end-to-end (discovery, scoping, pricing, MSA/SOW negotiation) - Attend meetings, consultations, events, etc. in person as needed and build key relationships - Build durable relationships with researchers, data/infra leaders, procurement, and legal; expand accounts - Own the business plan, pricing, margin targets, forecasting, and budget adherence. - Report on progress to senior leadershipFoster a culture of accountability, transparency, and operational rigor Requirements: - Primarily located in San Francisco, CA, with a willingness to travel around Northern California, the United States, and internationally as needed - Bachelor's degree in any discipline, ideally from a top institution - Outgoing, social, gregarious personality, willingness, and capability to always be building relationships - Great management skills: you will, to an extent, be responsible for a giant piece of an entire business unit and all that comes with it, people management, budgets, interfacing with finance, legal, operations, and more - Strong preference for someone who has led Sales & Commercials: Expert in complex MSAs/SOWs, pricing, and margin managementTrusted relationships across AI labs and leading tech companies; able to open doors and close enterprise deals - Expert in complex MSAs/SOWs, pricing strategy, and margin managementProven builder of multidisciplinary teams; excellent stakeholder managementDigital native (Google Workspace, Sheets, CRM) Nice-to-haves: - Experience selling to or operating within AI labs (RLHF, red-teaming, evals, multimodal) - Prior success taking a services P&L from $0 to $10M+ with healthy unit economics - Strong interest and understanding in artificial intelligence, machine learning, and LLMs $170,000 - $250,000 a year Benefits & Compensation: - Base compensation: $170K–$250K, with increases as the business grows - Equity: generous grant vested over 4 years - Performance Bonus: Strong performers can expect $300K-$1M+ in additional annual cash and equity on top of base for closing and expanding enterprise deals - A $1K monthly allowance for meals - Company-sponsored Equinox membership - Health insurance Note: please ignore any interview assessment automated emails, if any. They do not apply to this role.

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Our team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud. Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%. Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend. We have made significant progress already, with models that significantly outperform even selection by human experts but there are still many improvements to be made. We are looking for a Staff Data Scientist to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes. What You’ll Do: Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes. Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision. Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients. Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling. Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency. Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs. What You Bring: You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while. You are comfortable measuring and optimizing the direct business impact of work. You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.). You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Our Business Intelligence/Data Insights department is looking for an intern. The Qualifications are: Rising Junior, Senior, or Graduate student in Computer Science, Data Analytics, Mathematics, or Business degree The ability to write/understand SQL preferred Data visualization, specifically Power BI, or comparable knowledge preferred Proficient skills in Excel Strong communication skills Excellent organizational skills Ability to multi-task

We are recruiting for a motivated Data Integrity Analyst - Corrections to join our team! We are here for life’s journey. Where is your life journey taking you?Being the heartbeat of Denver means our heart reflects something bigger than ourselves, something that connects us all: Humanity in action, Triumph in hardship, Transformation in health. Department Denver Sheriffs Job Summary Under minimal supervision, responsible for the management and evaluation monitoring of the accuracy and integrity of patient health information and documentation in the electronic legal medical record maximizing quality of care utilized in the storage, retrieval, data abstraction, reporting, payer roster management, and interoperability accessibility ensuring confidentiality of protected/electronic health information. Requires research, reconciliation, and resolution of patient identity issues in the electronic health record and Master Patient Index (MPI). Correction of duplicate medical record numbers, erroneous patient overlays, provider documentation correction, patient amendments, managing regulatory interoperability data and external health exchange information reconciliation/sharing via interface error resolution. Facilitates enterprise education for erroneous patient arrival/documentation correction collaborating with Patient Safety Quality Department and Clinical Educators. Collaborates routinely with Enterprise Compliance Service Department to research and verify suspected Identity Theft. Serves as the SME and only team with security to perform patient medical record merging and contact moves of documentation upon thorough analysis and verification. Essential Functions : Responsible for maintaining patient identity integrity using analytical and investigational skills to coordinate and execute action needed to remediate identity discrepancies. (20%) Responsible for monitoring work queues, requests, and resolves enterprise HELP Desk patient identity tickets requiring maintenance in the EHR. (20%) Facilitates the chart correction process in the legal medical record for patient safety and quality. Collaborates with end users to ensure appropriate Electronic Health Record (EHR) documentation errors are corrected in a timely manner per regulatory requirements. Serves as the patient identity SME for Patient Access and clinical departments. (20%) Improves patient safety and quality by researching and resolving duplicate patient medical record numbers, merging of patient accounts and/or separating documentation in the legal medical record when a patient overlay has been erroneously performed. (20%) Conducts validation process and data audits ensuring data accuracy is maintained throughout the EHR documentation capture process. Assists in establishing procedures and best practices for documentation integrity and reconciliation. (10%) Performs investigative research to assist with suspectable identity fraud and resolution for the Identity Theft Committee and performs moving of EHR documentation and compiling of correspondence to the victim as required. (10%) Education : Associate's Degree Health Information Technology or related healthcare field of study Required Work Experience : 1-3 years of related experience Required Knowledge, Skills and Abilities : Ability to analyze data and make critical thinking decisions based on information gathered. Ability to understand clinical, demographic, payer, and data throughput information to reason and solve problems. Strong written and verbal communication skills required; including collaboration with providers as necessary. Frequent interaction with providers and hospital/clinical staff will be expected for follow up and training opportunities are identified. Proficient in Microsoft Office Suite. Knowledge of Electronic Health Record Applications and Health Information Systems. Database skills. Epic/OnBase knowledge preferred. Shift Days (United States of America) Work Type Regular Salary $21.83 - $30.56 / hr Benefits Outstanding benefits including up to 27 paid days off per year, immediate retirement plan employer contribution up to 9.5%, and generous medical plans Free RTD EcoPass (public transportation) On-site employee fitness center and wellness classes Childcare discount programs & exclusive perks on large brands, travel, and more Tuition reimbursement & assistance Education & development opportunities including career pathways and coaching Professional clinical advancement program & shared governance Public Service Loan Forgiveness (PSLF) eligible employer+ free student loan coaching and assistance navigating the PSLF program National Health Service Corps (NHCS) and Colorado Health Service Corps (CHSC) eligible employer Our Values Respect Belonging Accountability Transparency All job applicants for safety-sensitive positions must pass a pre-employment drug test, once a conditional offer of employment has been made. Denver Health is an integrated, high-quality academic health care system considered a model for the nation that includes a Level I Trauma Center, a 555-bed acute care medical center, Denver’s 911 emergency medical response system, 10 family health centers, 19 school-based health centers, Rocky Mountain Poison & Drug Safety, a Public Health Institute, an HMO and The Denver Health Foundation.As Colorado’s primary, and essential, safety-net institution, Denver Health is a mission-driven organization that has provided billions in uncompensated care for the uninsured. Denver Health is viewed as an Anchor Institution for the community, focusing on hiring and purchasing locally as applicable, serving as a pillar for community needs, and caring for more than 185,000 individuals and 67,000 children a year.Located near downtown Denver, Denver Health is just minutes away from many of the cultural and recreational activities Denver has to offer. Denver Health is an equal opportunity employer (EOE). We value the unique ideas, talents and contributions reflective of the needs of our community. Applicants will be considered until the position is filled.

Description As an AV Safety Data Engineer, you will play a critical role in developing and maintaining robust data infrastructure to surface safety-relevant interactions, assess AV events, and inform autonomy development through data-driven insights. You will build scalable pipelines and metrics that ensure we receive strong, reliable signals from data, directly influencing how we assess system readiness and accelerate safe deployment, while also supporting the crucial task of event triage and analysis. In this role you will: Develop and maintain miners that identify events of interest from fleet and simulation data. Improve the accuracy and efficiency of existing miners through advanced statistical and ML techniques, ensuring high signal quality. Build scalable data pipelines and dashboards to monitor miner performance, signal quality, and key safety metrics. Conduct exploratory data analyses to uncover trends, failure modes, and opportunities to improve vehicle behavior, specifically focusing on critical safety events and system anomalies. Triage and assess AV events including both system behavior and hardware related anomalies, for potential safety/legal/regulatory concerns or system gaps, using contextual judgment grounded in safety, legal, and engineering principles. Develop and maintain clear triage guidelines and criteria for both onshore and offshore triage teams. Support regulatory reporting processes by providing data and analysis as needed. Requirements Master’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems Engineering, Civil Engineering, Mechanical Engineering, or Electrical Engineering. 6-8 years of experience working with safety-critical systems in AV, Automotive, Transportation Engineering, or a closely related industry. Strong programming skills in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks). Strong data engineering skills, including data wrangling and expertise in building maintainable, scalable, and efficient data pipelines. Familiarity with statistics and probability, and experience with sampling and estimation methodologies. Proven ability to design metrics, run analyses, and translate findings into actionable recommendations. Strong understanding of behavioral safety concepts and the ability to interpret vehicle behavior in real-world contexts, along with knowledge of AV requirements, road user behavior, and traffic regulations. Experience working with cross-functional teams and clearly communicating technical content to both engineering and non-technical audiences. Strong organizational skills with attention to detail, especially in process development and documentation related to data pipelines and safety analysis. Bonus Qualifications PhD in Engineering or a related technical field. Prior experience with AV safety or system behavior triage. Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker) to support analysis. Familiarity with ISO 26262 or other functional safety standards Benefits Health Care Plan (Medical, Dental & Vision) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Training & Development Retirement Plan (401k, IRA) Free breakfast and lunch

Kokosing (www.kokosing.biz) is one of America's 40 largest General Contractors and services a broad spectrum of clients in both the private and public business sectors. Kokosing's services include heavy civil/industrial construction such as highways, bridges, underground utilities, water/wastewater facilities, and marine construction. For over 70 years, Kokosing has successfully attracted the most qualified technical personnel in the construction industry by offering visible challenges, superior quality, and attractive rewards. With over $2.8 billion in annual sales and a commitment to its workforce, Kokosing is the winning team. Job Description: We are seeking a highly skilled Senior Data Engineer / Data Architect with extensive hands-on experience designing and implementing modern data solutions across cloud and on-prem environments. This role combines hands-on engineering with strategic architecture and leadership responsibilities. It will be instrumental in building, optimizing, and developing governance frameworks for the enterprise data ecosystems that will drive actionable insights and business value. The ideal candidate combines deep expertise in SQL, ETL pipelines, and modern cloud platforms with strong problem-solving skills, data governance experience, and a proven ability to develop and execute the data architecture vision and roadmap aligned with business objectives while collaborating with both technical and business stakeholders. Key Responsibilities Data Engineering & Architecture Design, build, and optimize ETL pipelines using tools such as SSIS, Azure Data Factory, Alteryx, and Databricks . Design & implement modern data models, data lakes, data warehouses, data mesh, and cloud-native pipelines across SQL Server, Snowflake, AWS and Azure ecosystems. Develop and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Docker, and Terraform. Lead the design and implementation of Change Data Capture (CDC) and data integration solutions. Implement data quality, lineage, and cataloging solutions. Data Governance & Quality Establish and manage data catalogs and governance frameworks using tools like Azure Purview and Databricks Unity Catalog . Ensure data quality, lineage, and security across distributed systems. Document data architectures, pipelines, and standards to support maintainability and scalability. In-depth knowledge of DAMA-BMBOK and DAMA International standards. Analytics & Business Enablement Build dashboards and reporting solutions in Power BI and Business Objects to deliver insights across HR, Finance, and Operations. Identify high-value use cases for AI and predictive analytics in collaboration with stakeholders. Partner with stakeholders to translate business requirements into scalable technical solutions. Introduce and apply AI/ML tools (Databricks Genie Spaces, Gemini, ChatGPT, CoPilot) to accelerate innovation and automation. Leadership & Collaboration Serve as the technical leader and subject matter expert for data and AI/ML. Mentor junior engineers and analysts, promoting best practices in coding, design, and data strategy. Serve as a trusted advisor to cross-functional teams, providing expertise in database optimization, performance tuning, and workflow automation. Lead development collaboration efforts, including vendor evaluation and recruitment of data engineers, analysts, and data scientists as the team expands. Qualifications Required 10+ years of progressive experience in data engineering, architecture, and analytics roles. Proven expertise with SQL, Python, and C# for building enterprise-grade data solutions. Hands-on experience with cloud platforms : Azure (Azure SQL, Data Factory, Databricks, Purview) and AWS (Glue, S3). Strong background in data modeling, ETL design, governance, and performance tuning . Experience with DevOps practices (Azure DevOps, GitHub Actions, Docker, Terraform). Proficiency with reporting/BI tools (Power BI, Tableau, Business Objects, SSRS). Familiarity with AI/automation tools (Databricks Genie Spaces, ChatGPT, Gemini). Excellent communication skills and ability to collaborate with technical and non-technical stakeholders. Bachelor’s degree in Computer Science, Engineering, or related field (Mechanical Engineering background a plus). Preferred Experience and knowledge of the construction industry (construction, field operations, IoT, financials). Demonstratable experience delivering IT-solutions that drove innovation. Certifications (Preferred) Microsoft Azure Fundamentals Microsoft Azure Data Fundamentals Microsoft Azure Security Fundamentals Teradata Vantage Certified Kokosing is an equal employment opportunity/affirmative action federal and state contractor. The company does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class.

OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking an Infrastructure Repair Technician to join our data center operations team. This role is focused on the physical repair and maintenance of data center hardware, including servers, switches, routers, and related components. The ideal candidate will have hands-on experience with hardware from leading vendors such as Cisco, Juniper, Arista, and x86 server platforms. KEY RESPONSIBILITIES: Perform hands-on repairs and replacement of defective hardware components in data center equipment, including power supplies, fans, and network cards. Manage the lifecycle of hardware components, from installation and troubleshooting to decommissioning and recycling. Conduct physical inspections and routine maintenance on data center equipment to ensure operational reliability. Oversee the inventory management of spare parts and hardware components, ensuring availability for repairs and upgrades. Collaborate with technical teams to coordinate replacement activities and minimize downtime during hardware failures. Document repair activities, maintain accurate records of maintenance logs, and update system configurations as necessary. Execute basic physical layer troubleshooting, including cable and port testing, to ensure connectivity and performance standards. Support the implementation of new hardware installations and the physical setup of network and server infrastructure. Participate in emergency response teams to address urgent hardware issues 4 Rotational shifts, for 24/7/365 service (8 to 10 hr. shifts; 3 to 4 days per week; 2 to 3 days off) ESSENTIAL CRITERIA: Technical diploma or certification in electronics, computer hardware, or a related field. Proven track record of repairing and maintaining IT and network hardware in a data center environment. Familiarity with hardware from Cisco, Juniper, Arista, and x86 servers is highly preferred. Strong organizational skills with the ability to manage multiple tasks and prioritize work effectively. Excellent problem-solving skills and the capacity to perform well in a fast-paced environment. Valid driver’s license and ability to handle physical requirements of the job including lifting equipment up to 50 pounds. PHYSICAL REQUIREMENTS: Ability to lift and maneuver heavy equipment, up to approximately 50 pounds, and occasionally up to 100 pounds. Dexterity to manage small and complex components during hardware maintenance. Frequent standing, bending, and moving within confined spaces in the data center. Ability to work in various environmental conditions, including areas with elevated temperatures and noise levels. The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. #NAMERHV Pay Range $55,000 — $65,000 USD

Description PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are seeking a Senior Data Engineer to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. This role is critical in building the data infrastructure that powers Plum’s next-generation AI-driven products. You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you’ll take ownership of architectural decisions, system design, and production readiness—working with team members to ensure data is reliable, accessible, and impactful. Key Responsibilities Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse. Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources. Develop robust data workflows using Python and Databricks Workflows. Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control. Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases. Monitor, troubleshoot, and optimize data workflows in production. Collaborate with cross-functional teams to translate data needs into scalable solutions. Requirements Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience. 3+ years of experience building and maintaining production-grade data pipelines. Proven expertise in Python and SQL for data engineering tasks. Strong understanding of lakehouse architecture and data modeling concepts. Experience working with Databricks, Delta Lake, and Apache Spark. Hands-on experience with AWS cloud infrastructure. Track record of integrating data from external systems, APIs, and databases. Strong problem-solving skills and ability to lead through ambiguity. Excellent communication and documentation habits. Preferred Qualifications Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains. Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models. Experience using ETL tools such as Fivetran or Airbyte. Understanding of data governance, security, and compliance best practices. Benefits A fast-paced, collaborative startup culture with high visibility. Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. Opportunity to make a meaningful impact in building a company and culture. Equity in a financial technology startup. Generous health, dental, and vision coverage for employees and family members + 401K. Eleven paid holidays and unlimited discretionary vacation days. Competitive compensation and bonus potential.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data, and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate, and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary, and collaborative, taking technology into the future and bringing the world with it. WHO WE ARE LOOKING FOR: The Artificial Intelligence , Data and Machine Learning Group applies machine learning to problems at Nike. We develop fundamental technologies, do applied research and development, and deliver to production to enable AI/ML across Nike. The ideal intern candidate is a leader with a demonstrated interest in developing complex data solutions and working on end-to-end solution design. You are a passionate, data enthusiast who loves finding relationships between disparate data sets and clarity in a muddied data environment and are continually learning as well as finding opportunities to share knowledge with others. The person we’re searching for gets energized and excited by the challenge of building things from the ground up, loves to think out of the box, and brings to bear the latest technologies in statistical, unsupervised, supervised, and Artificial Intelligence (AI) models to achieve organizational goals. WHAT YOU’LL EXPERIENCE: In the NIKE, Inc. Summer Internship Program, you’ll contribute to high-priority, real business initiatives that align with the NIKE, Inc. strategic roadmap. With the guidance of senior leaders and experienced managers, you’ll take ownership of a project that’s been scoped to drive impact . These projects are designed to challenge your critical thinking, further develop your skills and foster effective collaboration while contributing directly to your team’s goals. Intern Project Examples Include: Keep Nike on the offensive by integrating Machine Learning within our technologies to identify and resolve incidents faster and more efficiently. Scale Nike’s innovation teams and our sustainability goal of moving to zero waste through the use of computer vision, code, agile methodologies, and robotics. Ensuring people with disabilities have equitable access to Nike’s Technology using Artificial Intelligence. This is a 8–10-week paid internship opportunity with relocation assistance . Curious to know what it’s like to be part of a world-class Internship Program? Check out our recap video from last summer: Nike Internship Program Recap Video WHAT YOU WILL BRING: Qualifications: Enrolled in a Bachelor’s Degree with an expected graduation date between December 2026 and Spring 2027 Background in computer science, mathematics, statistics, or a related technical field 0-2 years work experience Resume submission ( PDF strongly preferred ) Technical Skills: Knowledge of Python, SQL, Tableau Knowledge of AI/ML techniques such as neural networks, tree ensembles, regressions, etc. Knowledge in data structures and algorithms, proficiency in solution and technical design, and strong skills in problem solving, debugging, testing, and analysis Ability to quickly pick up new programming languages, technologies, and frameworks Preferred Technical Skills: A demonstrated interest in leveraging Generative AI to enhance typical development and data science workflows, or in implementing Generative AI solutions within enterprise environments An a wareness of data science platforms (like Databricks or SageMaker), distributed engines (like Spark and AWS cloud), and CI/CD pipelines and containerization An a bility to meaningfully communicate, written, orally, and visually technical topics with peers and articulate the benefits and tradeoffs of various solutions This internship – as well as full-time positions – are located in-person at the NIKE, Inc. World Headquarters in Beaverton, OR. Check out this video of our World Headquarters to learn more about life on campus: Nike WHQ Campus Video We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form .