Remote Data Engineering & Analytics Jobs

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: SAP Data Integration Consultant Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced SAP Data Integration Consultant to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. Required Qualifications 6+ years of SAP data migration experience. Strong hands-on experience with SAP LTMC and S/4HANA migration tools. Experience with SAP SLT replication scenarios. Working knowledge of SAP LVM for system refresh and landscape management. Strong understanding of SAP master and transactional data structures. Experience performing data validation and reconciliation processes. Strong SQL and data analysis skills.

About Scalepex Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries. At Scalepex , we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact. Job Summary We are looking for a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. This role combines hands-on development with technical leadership , ensuring high-quality data systems that power business insights and analytics products. You will work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices. Requirements Key Responsibilities Sr Data Engineer will understand the business need and design the data pipelines, translate data into business insights, data cleansing and ETL. Experience in Databricks, GitHub Actions. Understand CI/CD, Aerospike Gather requirements from vested teams to build features. Self-motivated individual will use their love of user interfaces to balance design and function, and thrive in a fast-paced environment, knowledge in Angular / Play Framework is a plus. Understand the priorities and ensures the deliverables stick to the timeline and complete projects on time. Be a team pla

About Scalepex Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries. At Scalepex , we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact. Job Summary We are seeking a Senior Software Developer with a strong focus on Data, Analytics, and UI development to design and build scalable, self-service analytics platforms. This role sits at the intersection of data engineering, front-end development, and analytics , transforming complex datasets into intuitive, secure, and high-performing dashboard experiences. You will play a key role in enabling internal teams, clients, and stakeholders to access actionable insights through modern, user-friendly analytics portals. Requirements Key Responsibilities Design, develop, and maintain self-service analytics portals for: Campaign and advertiser performance tracking Creator revenue and content analytics Internal business intelligence reporting Build and implement secure authentication and role-based access controls for multiple user types Integrate and manage data pipelines from multiple sources, including: Databricks and AWS S3 Salesforce (campaign and advertiser data) BI tools such as Tableau or similar platforms Internal APIs and databases Develop responsive, high-qu

Agency Dept of Health and Human Services Division Child Development Job Classification Title Accounting Technician I (S) Position Number 60038622 Grade NC05 About Us The North Carolina Department of Health and Human Services (DHHS) is one of the largest, most complex agencies in the state, and has approximately 17,000 employees. It is responsible for ensuring the health, safety, and well-being of all North Carolinians, providing human service needs for special populations including individuals who are deaf, blind, developmentally disabled, and mentally ill, and helping poor North Carolinians achieve economic independence. Description of Work The Subsidy Data Manager supports the work of the Subsidy Services Compliance Units by performing data management activities that rely heavily on spreadsheet use, the Client Services Data Warehouse, and data entry into NC FAST, the case management and payment system for the Subsidized Child Care Assistance Program. The position provides customer service to internal DCDEE staff and external partners while ensuring the accuracy and completeness of data used for compliance activities and program reporting. It processes and organizes data to fulfill information requests from internal and external customers and supports the operational needs of the compliance units. The role functions within a structured data and compliance environment, requiring consistent application of established procedures. This position contributes to the accuracy and ef

Why MSI ? We thrive on solving challenges. As a leading MGA, MSI combines deep underwriting expertise with insurer risk capacity to create specialized insurance solutions that empower distribution partners to meet customers’ unique needs. We have a passion for crafting solutions for the important risks facing individuals and businesses. We offer an expanding suite of products – from fully-digital embedded renters coverage to high-value homeowners insurance to sophisticated commercial coverages, such as cyber liability and habitational property – delivered through agents, brokers, wholesalers and other brand partners. Our partners and customers count on us to deliver exceptional service through a dedicated team that makes rapid resolutions a priority. We simplify the insurance experience through our advanced technology platform that supports every phase of the policy lifecycle. Bring on your challenges and let us show you how we build insurance better. Position Summary: The Data Architect is responsible for the design of MSI enterprise data and data management within the MSI ecosystem. As a member of the Data Services team, you will partner with Solution Architects, DBA’s, Business Intelligence teams and our product and business leaders to design Lakehouses and Data Warehouses that support the continued expansion of our analytics needs. You will contribute to the development of our data strategy and implement a maintenance program focused on ensuring the ongoing alignment of o

About AllShore Talent AllShore Talent partners with growing organizations to build high-performing technology and consulting teams. We connect skilled professionals with meaningful, long-term engagements across web technologies, digital experience platforms, and enterprise software delivery — offering competitive compensation, flexible engagement models, and a collaborative, remote-friendly culture. Role Overview The Data & Insights Technical Consultant partners with leading brands to build and optimize solutions using Adobe's data and analytics applications. You'll translate complex business requirements into technical solutions, bridging technical teams and business partners across the Adobe Experience Platform (AEP) environment. Key Responsibilities Lead implementation and optimization of AEP applications (Customer Journey Analytics, Real-Time CDP, Edge Data Collection, Analytics) for enterprise clients Collaborate with business consultants, data architects, and enterprise architects to deliver integrated solutions Guide technical discussions and translate business needs into technical requirements and specifications Develop data integrations, tag management strategies, and API connections for robust, scalable solutions Contribute to solution architecture for custom requirements Deliver customer-facing presentations, documentation, and enablement materials (data dictionaries, technical specifications) Mentor and train internal and client teams; contribute to thought le

About AllShore Talent AllShore Talent partners with growing organizations to build high-performing technology and consulting teams. We connect skilled professionals with meaningful, long-term engagements across web technologies, digital experience platforms, and enterprise software delivery — offering competitive compensation, flexible engagement models, and a collaborative, remote-friendly culture. Role Overview As a Data Architect, you will lead or support the development of advanced, secure data solutions for innovative digital marketing platforms. You'll craft data strategy, architecture, SQL, and governance for customer solutions spanning end-to-end profiles, segmentation, journeys, and campaigns. Key Responsibilities Provide deep experience building data solutions across multiple Adobe products and cloud platforms aligned with enterprise data strategy Engage closely with customers to facilitate data discovery, evaluating systems and business processes, and analyzing sources, movement, granularity, and format Unify disparate data (sales, CRM, analytics, etc.) to meet digital marketing use cases; lead development of conceptual, logical, and physical data models Define standards for data quality, master data management, data governance, modeling, tooling, security, privacy, and regulatory compliance (PII, PCI, HIPAA, GDPR) Engage cross-disciplinary groups to identify customer demands and provide scalable, secure data blueprints Provide solutions for growing data volumes, t

About AllShore Talent AllShore Talent partners with growing organizations to build high-performing technology and consulting teams. We connect skilled professionals with meaningful, long-term engagements across web technologies, digital experience platforms, and enterprise software delivery — offering competitive compensation, flexible engagement models, and a collaborative, remote-friendly culture. Role Overview The Data & Insights Business Consultant is a strategic, customer-facing role partnering with leading brands to deliver impactful digital experiences through Adobe's data and analytics applications. You'll turn business objectives into actionable strategies across data collection, customer segmentation, journey orchestration, marketing measurement, and data insights. Key Responsibilities Lead customer discovery sessions and delivery of applications (Customer Journey Analytics, Real-Time CDP, Adobe Mix Modeler, Analytics) for enterprise clients Collaborate with technical consultants, data architects, and enterprise architects to deliver integrated solutions Guide strategic discussions and translate client use cases and KPIs into business requirements and specifications Develop relationships at all levels within client digital marketing teams Lead multiple client engagements at a time, keeping projects on schedule and within scope Deliver customer-facing presentations, documentation, and enablement materials (business requirements docs, data dictionaries, value play

HBX Group is the world’s leading technology partner, connecting and empowering the world of travel. We’re game-changers, disruptors, the people who bring together local and global brands in accommodation, transport, activities and payments through our network of 300,000 hotels worldwide, 60,000 hard to reach high value clients such as tour operators, travel agents and loyalty schemes across 140 source markets. We are tech-driven, with a customer-first philosophy, and commercial teams whose knowledge and relationships on the ground are second to none. And of course we have an amazing team! Our people, Team HBX Group , are the beating heart of the company who we encourage to ‘move fast, dream big and make the difference’ every day. In fact, we believe that it is tech + data + people that truly sets us apart in the market, alongside our ‘global approach, local touch’ mentality. We’re headquartered in Palma, Mallorca and employ around 3,500 people worldwide. JOB DESCRIPTION: HBX Group is a leading B2B ecosystem player in the TravelTech space, connecting and empowering businesses in the ever-evolving world of travel. We drive growth for our clients and partners while removing friction from the end-to-end travel experience. Our cloud-based technology platforms offer fast and reliable access to a unique portfolio of travel products & services, while rich data and intelligence seamlessly connect supply and demand worldwide. We have over more than 3,000 experts worldwide, includin

Req ID: 390182 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Architect Lead Consultant to join our team in Remote, Georgia (US-GA), United States (US). Data Solution Architect – Remote Position's Overview NTT DATA , Inc. currently seeks an experienced Data Solution Architect to join our team in a Remote capacity. Client's Business Problem to Solve Our client is looking to design and modernize scalable enterprise data platforms using Microsoft Fabric and Azure technologies . This role will define end-to-end data architecture while providing technical leadership to engineering teams implementing the solution. Position's General Duties and Tasks In this role you will be responsible for: Define end-to-end data solution architecture, patterns, standards, and technical roadmaps across ingestion, transformation, storage, analytics, security, and integration. Architect solutions using Microsoft Fabric and Azure, including SparkSQL, PySpark, Delta Tables, Pipelines, Fabric Notebooks, Lakehouse, and data warehouse technologies . Design scalable data models, Medallion/Lakehouse patterns, integration approaches, security controls, governance, and performance strategies. Lead architecture reviews and translate business and non-functional requirements into detailed technical designs and implementation guidan

Legal Disclaimer This internship offers a flexible schedule to accommodate academic commitments, and the duration will be limited to a specific period to ensure valuable learning without displacement of paid roles. There is no expectation of compensation or a job offer after the internship. Instead, the focus is on providing the intern with practical, educational experience aligned with their academic studies. About the Role 20 hrs/week Unpaid, 6 month leadership program Fully remote Marketing team OPT/CPT eligible Able to commit to weekly 60-minute meetings (PST); Monday & Friday @10am Company Program Meeting, Monday @9am Team Meeting, Tuesday @11am Analytics Sync, Thursday @10am Team Deepwork, and several 1:1 coachings Company Overview PROJXON is a Business Optimization Consulting Company that focuses on empowering High-Impact organizations in the Tech, E-Commerce, Health + Wellness, and nonprofit industries. We provide tailored holistic business solutions to combat chaos, turning failure into opportunities for growth. Our commitment to sustainable and scalable consulting plans drive growth, productivity and market value for our clients. Responsibilities Analyze marketing performance data across digital channels to identify trends, measure campaign effectiveness, and support data-driven decision making. Develop and maintain dashboards and reports that track key marketing KPIs, customer acquisition metrics, and ROI. Collaborate with marketing, sales, and leadership teams

Job Description Role title: Data Migration Engineer Salary range: $60,000 - $90,000 USD Location: Remote - US - Chicago, Dallas, Atlanta Applied Systems , Inc., a worldwide leader in insurance technology, is currently searching for a Data Migration Engineer to join our Data Services team. This role is responsible for migrating customer data from competitor and legacy systems into Applied Systems SaaS products while ensuring business continuity, data quality, and customer satisfaction. As a strategic contributor within Data Services, the Data Migration Engineer works closely with new and existing customers to deliver high quality, customized data migration solutions that support unique business needs. The role collaborates cross functionally with teams across Onboarding and Success Services, Development, Operations, Solution Services, and Support to deliver complex, end-to-end migration outcomes. While this role involves taking ownership of assigned tasks and tickets, it operates as part of a global Data Services team leveraging a Follow the Sun delivery model to keep data moving across regions and time zones. Success in this role requires strong attention to detail, adaptability, and the ability to contribute effectively to a broader team-based delivery motion as tools, platforms, and processes continue to evolve. What you’ll own Own and execute assigned components of end-to-end data conversion and migration efforts from legacy systems to Applied Systems SaaS products, produc

ERAKULIS® is an all-in-one wellness experience for Fitness, Nutrition and Mental Balance, founded by Cristiano Ronaldo. Taking care of physical and mental health is essential for a fulfilling life, and we are here to support individuals every step of the way. Behind your customized plan, we have a team of certified experts who will take the time to listen to your story, understand your aspirations, and craft a tailored wellness experience plan that aligns with your goals and lifestyle. Erakulis is present in every corner of the world and our goal is to become a renowned leader in the wellness industry on a global scale. Were looking for a Data Scientist who thrives at the intersection of health tech and advanced analytics. You will help us unlock insights from user behavior, personalize fitness and nutrition journeys, and support the development of our AI wellness assistant. You will work closely with product, and engineering to turn data into action. Key Responsibilities Design and implement data models to power personalized recommendations in fitness, nutrition, and mental health. Analyze user engagement data to uncover behavioral trends and retention drivers. Develop and evaluate machine learning models for wellness insights, predictive health outcomes, and segmentation. Collaborate with backend (Golang), mobile (iOS/Android), and web (React/TypeScript) teams to deploy data pipelines and ML features. Support the virtual agent (AI assistant) with NLP-driven insights and con

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. Job Summary We are seeking a highly skilled and experienced Database Platform Architect to design, implement, and maintain robust and scalable database solutions for Jabil 's global operations. This role is crucial in ensuring the performance, security, and reliability of our critical data infrastructure. Job Responsibilities * Lead the architectural design and evolution of Jabil 's database platforms, including relational, NoSQL, and data warehousing technologies. * Define and enforce database standards, best practices, and governance policies across the organization. * Evaluate and recommend new database technologies and tools to meet evolving business needs and optimize performance. * Collaborate with development teams, system administrators, and other architects to integrate database solutions seamlessly into Jabil 's IT ecosystem. * Perform capacity planning, performance tuning, and optimization of database environments. * Develop and

We're looking for a Senior Data Scientist to own the metrics and analytics layer of a growing e-commerce platform. You will be the driving force behind how merchants understand and grow their businesses through data — ensuring every report, metric, and model delivered through the platform is accurate, unified, and built to scale. You will work closely with the Platform Reports Product Manager, Platform Data Quality Engineers and partner with PMs across all product areas to unify our data models and establish a single, coherent analytical foundation. Your north star: the success of merchant reports and analytics — giving every merchant on the platform a reliable, well-documented view of their growth. What You'll Do Own the analytics direction of the Data Platform — define the vision, standards, and roadmap for metrics, models, and reporting delivered through the platform layer. Unify data models across product areas — work with the Platform Reports PM and all PMs to consolidate fragmented metric definitions into a single, governed semantic layer. Drive merchant analytics success — design, validate, and continuously improve the reports and analytics every merchant relies on to study and grow their business. Establish documentation standards — ensure every API, dataset, metric, and column is correctly named, clearly defined, and formally documented, so definitions are consistent from the warehouse to the merchant-facing report. Enable growth analysis — build the analytical found

Job Summary We are looking for a Data Loss Prevention (DLP) Implementation Consultant to deploy, configure, and implement an enterprise Data Loss Prevention solution. The consultant will be responsible for installing and activating the DLP platform, configuring security policies, deploying endpoint agents for Windows and macOS devices, and ensuring the solution is operational and aligned with customer security requirements. Key Responsibilities Activate and configure DLP software licenses. Install and deploy the DLP Management Server. Configure the DLP Server according to best practices. Design, implement, and fine-tune DLP policies. Configure policy rules for data protection and compliance. Deploy DLP endpoint agents on Windows and macOS devices. Validate agent communication with the DLP server. Perform system testing and troubleshooting. Monitor deployment progress and resolve implementation issues. Collaborate with customer IT and security teams during implementation. Prepare deployment documentation and configuration guides. Conduct knowledge transfer sessions for customer administrators. Support UAT and go-live activities. Ensure implementation follows vendor and security best practices. Benefits Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field. 3+ years of experience implementing enterprise DLP solutions. Experience deploying DLP servers and endpoint agents. Knowledge of Windows and macOS administration. Experience

About You You are a Senior Data Engineer passionate about building scalable, production-grade data pipelines and transforming complex data from multiple sources into reliable, business-ready datasets. You thrive when working with Azure Databricks, Python, and Spark to solve data integration challenges and support enterprise data ecosystems. You enjoy connecting data across business platforms, optimizing data transformations, and ensuring accuracy and consistency throughout the data lifecycle. You take ownership of your work, ask the right questions early, and proactively communicate risks and blockers. You value clear documentation, technical discipline, and delivering high-quality solutions that support business needs. You Bring to Applaudo the Following Competencies: 5+ years of professional experience in Data Engineering, designing, building, and maintaining production-grade data pipelines. Strong hands-on experience with Azure Databricks. Advanced Python skills for data processing, transformation, and pipeline development. Solid experience with Apache Spark, including PySpark and/or Spark SQL, for processing data at scale. Advanced SQL proficiency, including complex transformations, data validation, and query performance optimization. Strong knowledge of data warehousing and dimensional modeling, including facts, dimensions, and data marts. Experience integrating data from multiple sources, including REST APIs, relational databases, cloud storage, and SFTP. Hands-on exper

About Simply.TV At Simply.TV, we believe that finding the right show or game to watch should feel effortless — and behind that seamless experience is a passionate team making sure every title, every match, and every piece of content is accurate, rich, and ready to shine. We're a global company of 400+ people on a mission to build the world's best TV, movie, and sports data — powering content discovery for millions of viewers across the globe. If that sounds like something you'd love to be part of, we'd love to meet you. What you will do As a Sports Data Editor, you'll help make sure the sports information our customers rely on is accurate, complete, and up to date. Your responsibilities may include: Researching and verifying information about sports events, competitions, leagues, teams, players, schedules, and results. Creating, updating, and maintaining sports records in our database. Reviewing metadata related to fixtures, competitions, teams, venues, participants, and event details. Identifying and correcting missing, inaccurate, duplicated, or inconsistent sports data. Using reliable sports sources to validate and enrich information. Monitoring schedule changes, postponements, cancellations, and other updates that may affect event data. Following internal editorial guidelines and quality standards to ensure consistency across our database. Working quickly and accurately with large volumes of sports data, especially when information changes close to or during live events.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb 's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on. The Difference You Will Make: The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with R

We are looking for a focused Data Entry Clerk to continuously update our company's databases. The Data Entry Clerk will liaise with and follow up with employees within the company as well as with customers to collect information. The Data Entry Clerk will capture the data into relevant databases in a timely and accurate manner. You will identify and correct errors, and swiftly bring them to the attention of relevant parties where necessary. To do well in this job, you should collect information and capture data promptly to ensure the business’ databases are current to accurately reflect its developments, updates and transactions. Top candidates will be focused, diligent, energetic and have good people’s skills. Entry Level Skills Strong outgoing personality with superior communication skills and great work ethic. • Data entry and strong organizational skills. • Effective listening and analytical skills, as well as the ability to summarize information and offer solutions. • Familiarity with home computers and have at least an average working level typing ability. • You should be professional and positive and also possess a high degree of self-motivation and have the ability to work independently in your job. • Excellent time management and administrative skills with a keen attention to detail. • Ability to create, implement and manage processes to achieve set outcomes in a work at home job environment. Other Requirements This is an online work at home position, so you will be

The Senior Data Engineer is responsible for designing, developing, and supporting scalable data solutions for the Manufacturing BI team, including data pipelines, ETL/ELT processes, databases, APIs, data models, and Power BI reporting solutions. The role works closely with business and technical teams to deliver secure, reliable, and high-performing data solutions. Key Responsibilities Design, develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and Microsoft Fabric. Design and develop solutions using Fabric Lakehouse and Warehouse. Develop and optimize complex SQL queries, stored procedures, databases, and data models. Build data integrations and APIs across multiple enterprise data sources. Develop and support Power BI reports, semantic models, and dashboards. Troubleshoot and optimize data pipelines, database performance, and data quality. Work with Manufacturing and technical teams to define requirements and deliver scalable data solutions. 5+ years of experience with SQL, data engineering, ETL/ELT, and data warehouse solutions. Strong SQL Server, T-SQL, data modeling, and performance-tuning skills. Programming experience with Python, Java, C#, Rust, or similar languages. Experience with APIs, JSON, flat files, Excel, and relational databases. Experience with Power BI or similar BI tools. Manufacturing data and Microsoft Fabric experience is a plus. Familiarity with cloud platforms and AI developer tools such as Codex CLI, Claude Code, or Ge

We are looking for a highly skilled Data Scientist to develop advanced models, analyze complex datasets, and generate insights that fuel decision-making and automation. This role focuses on leveraging data and AI to create innovative solutions that drive business success. You will collaborate with Data Engineers, AI Engineers, and Product Managers to build scalable and impactful data solutions. Key Responsibilities Develop and deploy machine learning models for predictive analytics, recommendation systems, NLP, and computer vision. Perform statistical analysis and data exploration to extract actionable insights. Design and implement AI/ML algorithms, including supervised and unsupervised learning techniques. Utilize Deep Learning frameworks (TensorFlow, PyTorch) for complex AI tasks. Work with big data processing frameworks such as Apache Spark and Dask. Collaborate with Data Engineers to optimize data pipelines and feature engineering. Implement model monitoring, validation, and optimization techniques. Use A/B testing and experimentation to refine models and improve decision-making. Deploy AI solutions in cloud environments (AWS, Azure, GCP). Stay updated with AI/ML research trends and integrate state-of-the-art techniques into business applications. Requirements Required Skills & Experience Proficiency in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn. Strong understanding of supervised, unsupervised, and deep learning models. Experience in data analysis and visua

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs . We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs , we build observab

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Senior Data Scientist Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $160,000–$180,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an accomplished Senior Data Scientist to design, develop, deploy, and optimize enterprise-grade data science and machine learning solutions that support strategic business initiatives across multiple domains. In this role, you will be responsible for the complete data science lifecycle, from translating business problems into analytical solutions and developing predictive models to deploying machine learning pipelines, monitoring model performance, and supporting data-driven decision-making throughout the operational lifecycle. The successful candidate will bring deep expertise in statistical analysis, machine learning, predictive modeling, and data engineering, combined with strong hands-on experience working with large-scale structured and unstructured datasets using modern analytics platforms and cloud techn