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We are seeking a skilled Data Engineer with 10+ years of experience and expertise in DBT Fusion, Analytical SQL, and modern data engineering practices. The ideal candidate will be responsible for designing, developing, and maintaining scalable data transformation pipelines, ensuring high-quality data delivery for analytics and business intelligence. Experience with Snowflake, Airflow, Python, and GitHub is essential for building and managing cloud-based data solutions. Key Responsibilities Design, develop, and maintain data transformation pipelines using DBT Fusion. Write efficient and optimized Analytical SQL queries for data extraction, transformation, and reporting. Build and manage data models in Snowflake following best practices. Develop, schedule, and monitor ETL/ELT workflows using Apache Airflow. Create automation scripts and data processing solutions using Python. Manage source code, version control, and CI/CD workflows using GitHub. Optimize data warehouse performance through query tuning and data model optimization. Collaborate with data analysts, BI developers, and business stakeholders to understand data requirements. Ensure data quality, integrity, and governance across data pipelines. Troubleshoot and resolve issues related to data processing and workflow execution. Document data models, workflows, and technical processes. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 10+ years of experience in Data Engineering or a similar role. Strong hands-on experience with DBT Fusion. Advanced proficiency in Analytical SQL. Experience working with Snowflake as a cloud data warehouse. Experience with workflow orchestration using Apache Airflow. Good programming skills in Python. Experience using GitHub for version control and collaboration. Strong analytical, problem-solving, and debugging skills. Compensation: 50,000.00 - 100,000.00 per month 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.