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Senior Data Engineer / ETL Developer – Snowflake & DBT Remote Role Fulltime/W2- Infinite Computer Solutions Role Overview: 10+ years of overall experience in Data Engineering, ETL development, and data warehousing. Strong hands-on experience with Snowflake and DBT . Experience working within Investment Banking, Private Equity, Banking, or Financial Services environments. Candidates should have practical experience applying AI and automation to data engineering or financial services use cases. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake and DBT. Build reliable data transformation workflows, data models, and data integration solutions. Work with large and complex financial datasets while ensuring data quality, security, and governance. Collaborate with business and technology teams to understand requirements and deliver robust data solutions. Optimize Snowflake queries, workloads, and data pipelines for performance and scalability. Develop automated data quality, reconciliation, monitoring, and validation processes. Identify opportunities to use AI and automation to improve data engineering processes and business operations. Evaluate and implement AI-enabled solutions that can reduce manual effort and improve accuracy and efficiency. Required Technical Skills 10+ years of Data Engineering / ETL experience. Strong Snowflake experience. Strong DBT experience, including data transformations and data modeling. Advanced SQL and strong understanding of data warehousing concepts. Strong ETL/ELT development experience. Experience with data integration, data quality, and pipeline automation. Experience in Banking / Financial Services , preferably Investment Banking or Private Equity . Understanding of modern data engineering and cloud data platforms. Hands-on or practical exposure to AI, Generative AI, Machine Learning, or intelligent automation . Interview Steps: MS Teams Video Interviews
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.