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Senior Data Engineer Data Engineering Experience: 4+ Years Location: Remote Job Summary We are looking for a Senior Data Engineer with strong expertise in Python, PySpark, Apache Spark, AWS, and Azure. The candidate will work with large and complex datasets, build scalable ETL/ELT pipelines, and independently lead data engineering projects. Key Responsibilities - Design and develop scalable data pipelines for structured, unstructured, and real-time data. - Build complex ETL/ELT and data transformation processes using Python, PySpark, and Apache Spark. - Work with AWS and Azure data services to develop and manage cloud-based data solutions. - Develop and maintain data models for business and analytical requirements. - Work with cloud and on-premise data warehouses and understand their architectures. - Use services such as AWS Glue, EMR, and Azure Data Factory. - Ensure data pipelines are scalable, reliable, and optimized for performance. - Troubleshoot data engineering, performance, and scalability issues. - Independently lead projects and provide technical guidance to team members. - Collaborate with data scientists, analysts, developers, and business stakeholders. - Prepare technical documentation, design specifications, and best-practice guidelines. - Stay updated with emerging data engineering tools and technologies. Required Skills - 4+ years of experience in Data Engineering. - Strong hands-on experience with Python, PySpark, and Apache Spark. - Experience with AWS and Azure cloud platforms. - Strong knowledge of ETL/ELT, data pipelines, and data modeling. - Experience with AWS Glue, EMR, and Azure Data Factory. - Understanding of cloud/on-premise data warehouses. - Solid analytical, problem-solving, and troubleshooting skills. - Excellent communication and stakeholder management skills. - Ability to work independently and lead technical projects. Good to Have - Snowflake - Dataiku - Alteryx - Experience with real-time/streaming data technologies. Education Bachelors degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Work Mode: Remote Compensation: 1,000,000.00 - 1,200,000.00 per year 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.