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Job Title: Data Engineer Location: Remote Headquarters: Development Center: We are seeking a Data Engineer with strong SQL and programming skills (Python/Scala/Java) to design, build, and optimize scalable data pipelines and data platforms. The ideal candidate has experience with ETL/ELT frameworks, distributed processing technologies such as Spark, and cloud-based data services. You will collaborate with cross-functional teams to deliver reliable, high-quality data solutions while ensuring performance, governance, and operational excellence. Experience: 2 years SQL proficiency (non-negotiable; At least one strong programming language (Python or Scala/Java) Data pipeline/ETL-ELT tools (Airflow, dbt, Dagster, Luigi) Cloud platforms (AWS, GCP, or Azure) and their data services (Redshift, BigQuery, Snowflake, Databricks) Data modeling & architecture Understanding of dimensional modeling, normalization, star/snowflake schemas Experience with both batch and streaming architectures Knowledge of data warehousing vs. data lake vs. Code quality: testing, modularity, documentation Infrastructure-as-code (Terraform) and containerization (Docker, Kubernetes) Understanding of data quality, observability, and monitoring Evidence of handling scale (data volumes, latency requirements, cost optimization) only writing isolated scripts Awareness of data governance, lineage, and privacy/compliance Collaboration with analysts, data scientists, and business stakeholders Only coursework/certifications with no applied projects Confusing data engineering with data analysis or pure ML work Medical insurance for all permanent employees. .
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.