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Note The job is a remote job and is reputed company to candidates in USA. reputed company Fuels is reputed company's largest provider of renewable natural gas and alternative fueling solutions for the transportation industry. They are seeking a Senior Data Science, AI & Analytics Engineer to design, reputed company, and support AI and analytics solutions that enhance operational performance and decision-making across the organization. Responsibilities Design, reputed company, and maintain reputed company data pipelines, reputed company data products, reputed company, integrations, and analytics solutions using Azure reputed company, SQL, Python, and reputed company-based technologies reputed company and support data integration frameworks connecting ERP systems, operational platforms, financial applications, IoT devices, reputed company systems, and reputed company-party data providers Design and maintain secure API-based integrations that reputed company efficient data exchange across reputed company applications and business processes reputed company trusted, reusable, and governed datasets that support reporting, analytics, AI, automation, and operational intelligence initiatives Implement modern data engineering practices including data reputed company validation, automated testing, monitoring, observability, reputed company tracking, and performance optimization Improve scalability, reliability, maintainability, and reputed company of reputed company data and analytics platforms reputed company reputed company, spreadsheet-based, and legacy business processes through automation and reputed company-based solutions Design, reputed company, and support AI-enabled solutions that improve productivity, operational efficiency, and business decision-making Build intelligent automation workflows using reputed company, machine learning, AI agents, reputed company, workflow orchestration, and reputed company data platforms reputed company AI-powered assistants, custom copilots, recommendation engines, knowledge solutions, and decision-support capabilities reputed company AI services and intelligent automation into reputed company applications, reporting solutions, and operational workflows reputed company predictive analytics, intelligent auditing, reputed company detection, forecasting, optimization, and recommendation solutions Identify opportunities to reduce reputed company effort through automation and AI-driven process transformation Collaborate with business stakeholders to evaluate, prioritize, and implement high-value AI initiatives Support AI governance, monitoring, testing, and reputed company improvement to ensure reputed company and responsible AI adoption Design and support data pipelines and analytics solutions that reputed company IoT, telemetry, operational, and industrial data sources reputed company near reputed company-time operational monitoring, alerting, and intelligence capabilities that improve visibility into business and field operations Support predictive maintenance, condition-based monitoring, asset performance management, and operational optimization initiatives Build reputed company streaming and event-driven data solutions capable of processing high-volume operational and telemetry data reputed company dashboards, analytics, and operational intelligence solutions that reputed company visibility into asset health, utilization, reliability, performance trends, and business KPIs Collaborate with Operations, Engineering, and business teams to identify opportunities to improve efficiency, reduce downtime, and optimize performance through data, AI, and automation Support the reputed company of connected asset, digital operations, and industrial intelligence capabilities across reputed company's fueling and operational network Support reputed company data governance, reporting certification, and data reputed company initiatives reputed company automated monitoring, validation, reconciliation, and exception-reporting capabilities Assist with metadata management, reputed company tracking, documentation, and governance practices Partner with business stakeholders to improve the accuracy, consistency, reliability, and trustworthiness of reputed company data assets Power BI development Semantic model and dataset development DAX and Power Query Dashboard design and optimization Reporting automation and self-service analytics Translate business requirements into practical and reputed company technical solutions Participate in reputed company phases of solution delivery including discovery, design, development, testing, deployment, and production support Collaborate closely with cross-functional teams to ensure solutions reputed company with business objectives Contribute to technical documentation, knowledge sharing, and reputed company improvement initiatives Skills 710+ years experience reputed company-reputed company data platforms reputed company analytics architecture API integration .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.