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Job Description Summary Job Title: Data Engineer (ETL to Snowflake) Experience Required: 5+ Years Number of Positions: 3 Employment Type: Contract Location: Remote Notice Period / Joining Period: Immediate Shift Timings: General Shift + EST Overlap Job Overview We are seeking experienced Data Engineers (5+ years) to join our team on a contract basis. The ideal candidates will be responsible for building, optimizing, and maintaining robust ETL/ELT pipelines for migrating and transforming data into Snowflake. You will leverage Azure Data Factory (ADF), ADLS, dbt, Python, and SQL to deliver high-performance data architecture solutions. Key Responsibilities ETL/ELT Pipeline Development: Design, build, and maintain scalable data pipelines to ingest and transform data from multiple sources into Snowflake using ADF and dbt. Data Transformation & Modeling: Write clean, modular, and reusable data transformations using dbt and advanced SQL. Data Lake Management: Architect and manage structured, semi-structured, and unstructured data stored in Azure Data Lake Storage (ADLS). Custom Automation: Develop scripts and data ingestion routines using Python. Snowflake Performance Tuning: Optimize virtual warehouses, clustering strategies, queries, and cost management in Snowflake. Collaboration & Quality Assurance: Implement automated data validation checks and work collaboratively during overlapping EST business hours. Mandatory Skills & Qualifications Snowflake: Deep expertise in Snowflake architecture, tasks, streams, Snowpipe, and query performance tuning. dbt (Data Build Tool): Proven hands-on experience structuring models, macros, testing, and documentation using dbt. Azure Data Factory (ADF): Strong skills in pipeline orchestration, data flows, dynamic parameterization, and integration triggers. ADLS: Experience managing and querying data stored within Azure Data Lake Storage Gen2. Python & SQL: Strong proficiency in Python scripting for data engineering and mastery of complex SQL (CTEs, window functions, analytics functions). Experience Level: 5+ years of core Data Engineering / ETL experience. Compensation: 80,000.00 - 120,000.00 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.