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We are seeking a highly skilled Senior Engineer with robust expertise in Python, Django OR FastAPI, PySpark, and Apache Airflow to design, develop, and optimize scalable backend applications and data processing pipelines. The ideal candidate should have hands-on experience in building enterprise-grade applications, working with large datasets, and implementing robust ETL workflows. Key Responsibilities - Design, develop, and maintain scalable backend applications using Python and Django. - Build and optimize ETL/data processing pipelines using PySpark. - Develop, schedule, and monitor workflows using Apache Airflow. - Write clean, maintainable, and reusable code following software engineering best practices. - Collaborate with cross-functional teams including Product, Data Engineering, QA, and DevOps. - Optimize application and pipeline performance for scalability and reliability. - Design RESTful APIs and integrate with third-party systems and internal services. - Participate in architecture discussions and contribute to technical design decisions. - Troubleshoot production issues and ensure high availability of applications. - Perform code reviews, mentor junior developers, and promote engineering best practices. Required Skills - Strong programming experience in Python. - Hands-on experience with Django OR Fast API Framework. - Strong expertise in PySpark for large-scale data processing. - Experience designing and managing workflows using Apache Airflow. - Knowledge of REST API development and integration. - Experience with SQL and relational databases such as PostgreSQL or MySQL. - Familiarity with Git and version control systems. - Strong understanding of software design patterns and object-oriented programming. - Excellent debugging, analytical, and problem-solving skills. Compensation: 600,000.00 - 2,000,000.00 per year Benefits: - Flexible schedule - Provident Fund - Work from home Application Question(s): - What is your notice period - What is your CTC & ECTC Experience: - Total: 5 years (Required) - Python: 5 years (Required) - Airflow: 2 years (Required) - PySpark: 2 years (Required) - FastAPI: 3 years (Required) - Django: 4 years (Required) Work Location: Remote .
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.