Remote Data Engineering & Analytics Jobs

We are looking for a Lead Data Scientist – Virtual Models to take ownership of this programme from the start. This is a hands-on role for an experienced data scientist who wants to build something new. You will assess existing datasets across QIMA ’s Business Units, identify the most promising opportunities, develop proof-of-concept models and prepare them for use by internal teams and, ultimately, by clients. Initial applications may include models related to: skin; hair follicles; longevity; prostate cancer; immunology. You will work closely with Managing Directors, laboratory scientists and QIMA ’s IT and AI experts. Scientific validation will be carried out in collaboration with independent laboratory teams. Key responsibilities Review and assess proposals from QIMA ’s Business Units. Examine the underlying data in detail, including its quality, structure, consistency, depth and breadth. Recommend one or two models with the strongest potential for development, subject to approval by the CEO of QIMA Life Sciences. Build and manage the required data pipelines. Clean, structure, integrate and analyse complex biological datasets. Develop machine learning models and proof of concepts. Identify data gaps and recommend additional experiments where needed. Work with laboratory scientists to help define these experiments, including the required data, measurements and quality criteria. Establish clear validation criteria and prepare models for independent scientific validation. Imp

Build What Matters at RevStar Role Title: Data & AI Engineer (Databricks Specialist) Reports To: Data & AI Practice Lead Location: Remote (US-Based / Eastern or Central Time Zone Preferred) Employment Type: Contract Ready to build greenfield Lakehouse solutions at the bleeding edge of AI and big data? RevStar is an innovation shop and official Databricks Partner launching a dedicated, cloud-agnostic Data, ML, and AI practice. Tired of spending months in endless corporate approval loops only to build AI concepts that never reach production? We turn modern Lakehouse architectures and production AI into live, scalable enterprise solutions in fast-paced execution cycles. We build fast, cut bureaucratic red tape, and ship production-ready solutions for client founders and tech leaders who value real engineering impact. In this role, you will work directly with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI models. Above all, our team operates on three core principles: Self-Mastery: We hold a high bar for how we think, communicate, and improve. Ownership: We own outcomes, not just effort. Shared Destiny: We rise or fall together. Your Impact Pillars 1. Databricks Lakehouse & Pipeline Engineering: Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across multi-cloud environments (AWS, Azure, GCP). Implement robust Lakehouse architectures that seamlessly process both structured

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Job Type: Full-Time Location: Barbados (Remote) Job Summary: A Data Engineer is responsible for designing, building, and maintaining data infrastructure to support analytics, reporting, and business intelligence. Job Description Data Pipeline Development Build and optimize data pipelines for efficient extraction, transformation, and loading (ETL). Database Management Design and maintain databases, ensuring scalability and reliability. Big Data Processing Work with large datasets using tools like Hadoop, Spark, and Kafka. Cloud Integration Implement data solutions on cloud platforms like AWS, Azure, or Google Cloud. Data Governance & Security Ensure data integrity, compliance, and security best practices. Collaboration Work with data scientists, analysts, and business teams to support data-driven decision-making. Required Skills Proficiency in SQL, Python, Scala, or Java for data manipulation. Experience with big data technologies (Hadoop, Spark, Kafka). Knowledge of cloud computing platforms (AWS, Azure, GCP). Strong understanding of data modeling and database design . Expertise in ETL processes and workflow automation. Ability to optimize data infrastructure for performance and scalability . Familiarity with data governance and security protocols . Experience within banking industry is an asset. Educational Requirements A bachelors degree in computer science, software engineering, or a related technical field. A masters degree can be beneficial for senior roles. Certific

About the Role Staritas is seeking a highly motivated Data Engineer to join our growing Technology team. In this role, you will design, build, and optimize scalable data solutions that support our healthcare technology platforms and business operations. You will work closely with Software Engineering, Product, Analytics, and business stakeholders to ensure data is accurate, secure, accessible, and positioned to drive informed decision-making across the organization. This is an exciting opportunity for a data professional who enjoys solving complex technical challenges, building modern data architectures, and enabling impactful analytics and reporting capabilities. Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Build and support data integrations across internal and external systems. Develop and maintain data warehouses, data marts, and data models to support reporting and analytics. Ensure the quality, integrity, consistency, and availability of enterprise data assets. Monitor, troubleshoot, and optimize data pipeline performance and reliability. Collaborate with software engineers to integrate data solutions into applications and products. Partner with business and analytics teams to translate data requirements into technical solutions. Implement data validation, monitoring, and quality assurance processes. Support data governance, security, privacy, and regulatory compliance initiatives. Create and maintain technical documentation, data diction

Standard Job Description Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop predictive models and new algorithms to solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations Basic Qualifications Bachelors degree from an accredited college in Computer Science, Information Technolgy, Computer Engineering, or equivalent discipline. 5+ Experience in building data models for end user consumption, optimizing queries and data structures for an

We Make Remote Work Remarkable • TopTalent from LatAm Hello! We are GoFasti , a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe. We need an English-fluent Mid Level Data Engineer , based in Latin America, available to work remotely. We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills. Are you the one we are looking for? Responsibilities: Work closely with product teams to help define and execute technical criteria Architect and maintain robust data ingestion pipelines that feed both our application and analytics Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it with our existing services and workflows Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema change handling Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases Requirements: Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working as an autonomous IC Designing and building production ingestion pipelines from APIs, files and shared-data

Who we are We’re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world’s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence. We are Worldwide Clinical Trials , and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs – in the best possible way. Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit. Why Worldwide We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day. Join us! What the Information Technology Department does at Worldwide The IT department is made up of seasoned professionals united in one common goal: to keep Worldwide’s technical infrastructure operating at the highest levels for our employees and our customers. We are a global team comprised of numerous profess

The job profile for this position is Data Management Strategy & Governance Advisor . Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. Job Description The Data Builder is the hands-on builder responsible for turning architectural design and business requirements into trusted, reusable data products through MVP that are production grade. Reporting to the Senior Director, Data Operations & Data Management, this role builds to the enterprise-agnostic Silver foundation designed by Data Architecture and co-designs and builds Gold data products where business logic, metrics, and functional knowledge live. This is a hands-on individual contributor role — the build authority that blends business fluency and data engineering discipline in equal measure , authoring Gold data products that answer the question the first time and building them to production standard. This role is a critical execution counterpart to Data Architecture and Data Analysis, Products & Integration , building faithfully against their designs and requirements and compressing the path from new data to a production-grade, reusable asset. It is an exciting opportunity to join the team transforming how Cigna builds and reuses data —

Barnes Aerospace has an exciting and challenging career opportunity for a Manager, Procurement Compliance, Governance and Data & Analytics . This individual will lead global procurement governance, compliance, analytics, systems administration, training, and process excellence, including Coupa Supplier Portal administration. If you are a self-motivated, effective, and collaborative professional seeking to put transformation and data-management talents to use in a growing environment, please submit your resume for further consideration. Core Responsibilities: Develop, implement, and maintain global procurement policies, procedures, controls, delegated authority requirements, and governance standards. Lead procurement compliance reviews, audit support, corrective-action plans, and continuous-improvement initiatives for procurement with Finance, Internal Audit, Legal, IT, and operating sites. Establish procurement compliance scorecards and executive reporting for policy adherence, purchase-order compliance, approval workflow adherence, sourcing governance, savings validation, and supplier-risk controls. Own the procurement governance calendar, including approval-matrix maintenance, policy refreshes, supplier governance reviews, and required business controls. Coordinate supplier portal governance and data standards to ensure supplier records, certifications, risk information, and onboarding documentation are complete and current. Monitor adoption and effectiveness of procure

Brightside Health delivers life-saving virtual mental healthcare to everyone who needs it. We are powered by proprietary AI, purpose-built technology, a world-class clinician network, and a care model that rivals the best of in-person treatment. When combined with precision psychiatry and leading-edge therapeutic techniques, we’re able to improve outcomes for those with mild-to-severe clinical depression, anxiety, and other mood disorders. Our innovative approach has earned recognition from leading publications such as Healthline, Fortune, and Forbes, naming us 'Most Comprehensive,' and 'Best Online Therapy for Anxiety and Depression.' We take an action-oriented, purposeful approach with everything we do and seek out team members who value collaboration and thoughtful prioritization. As a result, our organization is looking for the brightest and most innovative talent in the industry. We can promise you that, as a member of the Brightside team, you’ll have the opportunity to collaborate alongside smart and driven people while growing your professional skills. Brightside is looking for a versatile Senior Data Analyst to join our Data Analytics team and embed with our Network product and operations teams. The provider network is the backbone of our care model, and this role sits at the center of it. Your work will shape the clinician experience and, through it, the quality and accessibility of care our patients receive. You'll report to the Senior Director of Analytics and work

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide. Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you. Make an impact — from near or far We currently have remote adjunct opportunities available in all US States, with the exception of California. The opportunity Southern New Hampshire University is looking for online adjunct faculty within our Undergraduate Data Analytics program for Global Campus. You will engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course. You will support students by providing instruction, feedback, and experiential and application-based learning that helps our students achieve their learning and career goals. You will report to the faculty dean team. This is a remote position. What you'll do: Prioritize Student Engagement – Work with students by responding within set timeframes and reaching out proactively to students needing additional support. Recognize student needs holistically and connect them with resources. Encourage participation, collaboration, and strong faculty-student relationships to enhance learn

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Responsibilities Peraton is hiring a full-time Data Architect to support data-driven decision-making for critical missions within Peraton 's Risk Decision Group. This position will be 100% remote. This role focuses on designing, developing, and optimizing analytic solutions to support mission-critical applications. The ideal candidate will have strong technical expertise in data preparation, visualization, and automation, with hands-on experience in Tableau Prep, Tableau Desktop, Tableau Server, Power BI, SQL, and Python. This role will be responsible for transforming raw data into meaningful insights, developing scalable dashboards, and supporting enterprise reporting initiatives. This position will be 100% remote. Responsibilities Design, build, and maintain advanced dashboards and reports using Tableau Desktop and Power BI. Develop advanced T-SQL queries, stored procedures, functions, views, and triggers. Develop and optimize data workflows and ETL processes using Tableau Prep and Python. Manage content, permissions, data sources, and performance tuning within Tableau Server. Write complex SQL queries to extract, manipulate, and analyze structured and unstructured data. Collaborate with business partners to understand data needs and deliver actionable insights. Ensure data accuracy, consistency, and quality through rigorous validation and testing. Support BI governance, documentation, and best practices across the analytics environment. Automate recurring reporting tasks u

Overview Our Data Center Mission Critical Group is seeking a Business Development Manager. As a trusted partner to key clients, you’ll lead relationship-building efforts, uncover new opportunities, and shape strategic proposals alongside technical experts. With a sharp eye on market trends and a passion for innovation, you’ll help craft client-specific business and marketing plans that drive success. This role can be based in any office location, or remote from within the US. Responsibilities Imagine a day where your client insights shape new opportunities, your collaboration turns ideas into effective solutions, and your relationship-building fosters lasting partnerships. You play a key role in driving success by connecting teams, addressing challenges, and delivering meaningful results. Client Relationship Management : Function as one of the main points of contact for assigned clients. Develop relationships with key client contacts. Solicit and initiate feedback from assigned clients on project performance. Maintain knowledge of industry issues and how they affect assigned clients Business Development & Marketing : Identify new business and marketing opportunities. Develop client-specific business development and marketing plan. Support management with organization of conference events Sales & Forecasting : Develop / Update annual sales forecast and responsibilities to meet annual sales goals Proposal & Technical Collaboration : Work with technical management an

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Overview Due to continued growth, our Data Center Mission Critical Group is looking for a Senior Engineering Manager - Mechanical. This role leads and provides direction for the Data Center Mission Critical Mechanical Engineering team of engineers and technical staff designing Data Center greenfield and brownfield projects. This position can be based in the following locations: Emeryville, CA Kennesaw, GA Charlotte, NC Houston, TX Reston, VA Dallas, TX Naperville, IL Ohio Washington Remote from the US Any ENERCON office Responsibilities Products/Deliverables: Ensure the Engineering Unit staff maintain schedules, budgets and quality of deliverables. Work with Project Managers to define the scope of work. Direct/assign work to the Engineering Unit to balance activities. Assigns Lead Responsible Engineer (LRE). Maintain responsibility for the Unit’s quality; establish and enforce quality standards for the Unit through the Work Group Leads and Supervisors. Maintain, update, and execute Unit Continuous Improvement Plans. Accountable for ensuring project budget and schedule are met for Unit’s assigned projects. Responsible for the approval of engineering documents produced by the Unit Leadership and Staff Development: Hire, develop and retain staff. Identify and promote opportunities for site work. Identify and promote training opportunities (ex: owner’s groups, manufacturer, professional society). Utilize the review/approval process of deliverables as technical training opportunit

At Logicalis, we are looking for a GCP Data Engineer to join data and analytics projects in cloud environments, participating in the design, development, and evolution of data integration processes on Google Cloud Platform (GCP). The Data & AI team at Logicalis works with national and international clients, carrying out major data engineering, artificial intelligence, advanced analytics, data strategy, governance, integration, and architecture projects, covering the entire data lifecycle. Responsibilities: Design, development, and maintenance of ETL/ELT pipelines in GCP environments. Data modeling for analytical and reporting environments. Development and optimization of data pipelines. Integration of data from various sources. Implementation of best practices for data quality, performance, and governance. Collaboration with architects, analysts, and business teams to define scalable data solutions. Requirements: Experience working on data projects on Google Cloud Platform (GCP). Experience in the design and development of ETL/ELT processes. Solid knowledge of data modeling. Experience working with databases and processing large volumes of data. Knowledge of SQL and query optimization. Ability to thrive in agile environments and collaborate with multidisciplinary teams. Nice-to-have: Experience with data transformation tools such as Dataform, dbt, or similar.

Position Overview Blue Acorn iCi is looking for an AEP Data Architect Consultant to serve as a senior, customer-facing advisor at the intersection of enterprise data architecture and Adobe Experience Platform (AEP). In this role, you will partner with clients and implementation teams to assess data strategies, guide architectural decisions, and provide expert recommendations that help organizations scale and optimize their Adobe Experience Platform investments. You will serve as a trusted technical advisor, helping enterprise clients establish modern data architectures, implement governance best practices, and maximize the value of their customer data ecosystems. Key Responsibilities Client Advisory & Solution Strategy Lead client discovery sessions to gather business and technical requirements, define project scope, and manage stakeholder expectations throughout engagements. Provide strategic guidance on Adobe Experience Platform adoption, enterprise data strategy, and solution architecture. Partner with clients to assess data maturity and recommend scalable architecture solutions aligned with business objectives. Serve as a trusted advisor by translating complex technical concepts into actionable recommendations for both technical and non-technical stakeholders. Data Architecture & Governance Review and validate enterprise data architectures, XDM schema designs, identity resolution strategies, activation plans, and technical specifications. Provide recommendations a

ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $34 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit . JOB DESCRIPTION SUMMARY Greystar 's D²AI organization (Data, Digital, and AI) is responsible for the platforms, processes, and practices that power analytics and AI across the company. Decision Intelligence is the team within D²AI that turns that capability into better business decisions. The name is the mandate: we exist to make the company's decisions faster, sharper, and better informed, not simply to produce reports. Instead of a central intake queue, Decision Intelligence organizes into small, forward-deployed pods: analysts and engineers who sit alongside one

Company : enGen Job Description : JOB SUMMARY The Data Protection Engineer is a key member of the Data Protection team, responsible for the implementation, maintenance, and operational support of the organization's data protection infrastructure and applications. The Engineer will participate in complex projects, troubleshoot incidents, and contribute to the development and improvement of Data Protection engineering policies, standards, and procedures. They will work closely with senior engineers to implement and maintain data protection solutions. This role requires expertise in Microsoft Purview, ForcePoint, BigID, Varonis, Windows, Linux, GKE, Encryption, and other data loss prevention (DLP) and data security posture management (DSPM) tools. ESSENTIAL RESPONSIBILITIES Implement and maintain components of the organization's data protection infrastructure across various platforms and vendors, ensuring optimal performance and security. This includes deploying and configuring DLP, DSPM, and data de-identification solutions. Collaborate on the design and implementation of data protection solutions, following established best practices and aligning with business requirements. This includes working within on-premises and cloud-based environments (GCP, AWS, Azure). Configure and maintain data protection policies across relevant platforms, including configuring sensitive information types, tuning detection parameters, managing exception lists, and etc Troubleshoot and resolve data

Job Overview The Database Manager leads the team responsible for the database architecture of Intelerad's medical imaging solutions. The incumbent defines the database strategy and standards for our PACS, RIS, and enterprise imaging platforms, ensuring they remain scalable, secure, and highly available. They build and advance a high-performing team of database engineering and architecture specialists, recruiting, mentoring, and engaging them around clear objectives. Working alongside software engineering, DevOps, infrastructure, and product management, they align this strategy with product roadmaps. They advocate for database considerations in decisions affecting system reliability and patient care. Key Responsibilities Lead, recruit, and develop a team of database engineering and architecture specialists. Set clear performance and professional development goals, and hold regular check-in meetings. Build a team capable of meeting Intelerad's current and future database needs. Take ownership of the database architecture strategy and standards for Intelerad's medical imaging platforms. Ensure designs are scalable, secure, and reliable across on-premise and cloud deployment models.

What you’ll do: This position is fully remote and open to candidates based anywhere in Europe. As the Modular Data Center Customer Opportunity Manager , you will be the central coordination point for Eaton ’s modular data center opportunity pipeline, driving visibility, consistency and execution from early customer engagement through tendering. The role is part of the xModular / Business Development & Program Management organization and works closely with the Data Centre Sales Segment, regional Sales teams, Tendering, Design & Engineering, Product Application Engineering, relevant Business Units and Eaton ’s external modular partners and customers. Beyond pipeline reporting, you will actively qualify and prioritize opportunities, challenge data quality and probability assessments, coordinate stakeholders and ensure clear next steps and follow-up. You will maintain pipeline transparency through Salesforce and other Eaton tools, helping drive disciplined execution across the opportunity funnel. This is a hands-on commercial coordination and program-management role. During tendering, you will facilitate alignment between Sales, Tendering, Engineering and external partners & customers. Key responsibilities: Work closely with the Data Centre Sales Segment and regional Sales teams to identify, qualify, prioritize and track modular data center opportunities. Act as the central coordination point across Sales, Tendering, Design & Engineering, Product Application Engin

Job Title: Senior External Data Specialist, remote Canada Job Location: Remote Canada Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job Overview: May support Lead Data Manager (LDM) with the review, maintenance, and update of external vendor data received from central vendor or local laboratories. Working to ensure company SOPs (or sponsor, if applicable), guidelines and global standards are followed to maintain data integrity and ensure consistency across all projects. Summary of Responsibilities: Develop the Vendor Data Plan (VDP), including the Data Quality Review reconciliation section, or sponsor equivalent, for the external vendor data transfer(s), obtain final approvals and file document to the Trial Master File (TMF) as applicable. Collaborate with external vendor and sponsor counterparts for study expectations including milestones, deliverable timelines, communication expectations, etc. Ensure electronic external vendor data transfers contain all protocol specified parameters, is in correct format, and data populates to the specified fields and subjects correctly as designated in the Vendor Data Plan (VDP) or sponsor equivalent. Develop and document external data edit checks and reports in the edit check template or sponsor equivalent, obtain approvals and perform QC/UAT to verify the checks and reports are functioning properly. Review external data discrepancies generated by edit checks and reports and perform subsequent query managemen