Data Engineer

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $110k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tech Mahindra

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 Post IPO equity on 2025-10

Consulting • B2B • Artificial Intelligence

Tech Mahindra is a multinational IT services and consulting company focused on helping enterprises transform and accelerate with digital technologies. Using its “Scale at Speed™” promise, Tech Mahindra offers consulting, application and agentic development/modernization services, cloud & infrastructure, network services, cybersecurity, data analytics and artificial intelligence, enterprise applications (SAP, Oracle, Salesforce, Microsoft), engineering services and business process services. It serves a broad set of sectors—banking & financial services, communications/telecom, manufacturing, retail, healthcare, energy & utilities, media & entertainment, travel & logistics and more—and emphasizes AI-driven solutions, platforms and partnerships to support large B2B clients.

📋 Description

• Build robust base tables, views, and data pipelines supporting large-scale analytics • Write, execute, and maintain automated scripts to process datasets, interact with APIs, and streamline data workflows • Connect multi-source datasets, define metrics/KPIs, optimize load times, and deliver visual analytics to business stakeholders • Design, schedule, and monitor robust data pipelines for scalable data ingestion, transformation, and distribution • Configure, execute, and maintain data processing pipelines to ensure seamless workflow integration and reliability • Partner with business stakeholders, engineers, analysts, and product teams to deliver reliable and scalable data solutions • Support large-scale data processing, analytics, reporting, and automation initiatives

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Analytics, or a related technical field, or equivalent professional experience • 4 or more years of hands-on experience as a Data Engineer, Analytics Engineer, or Data Analyst • Experience working within Google's ecosystem • Experience writing complex, performance-tuned SQL queries, analytical functions, CTEs, and window functions • Experience with Python for scripting, data manipulation using Pandas/NumPy, basic ETL automation, and data validation • Experience designing interactive, self-service dashboards and business intelligence reporting using Looker Studio / PLX Dashboards • Experience with automated ETL/ELT scheduling and workflow orchestration within Google's data environment • Familiarity with Google internal distributed execution and data pipeline frameworks such as Piper • Experience with Google internal code editing and cloud development tools such as Cider • Understanding of Linux command-line interfaces, directory navigation, file operations, shell scripting, and automated cron jobs or background data processing tasks

🏖️ Benefits

• Equal Employment Opportunity employer • Reasonable accommodations available in the hiring process for applicants with disabilities • Culture of driving positive change, celebrating each moment, and empowering all to Rise