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For our client, we are seeking a Databricks Data Engineer to join the team of a leader in the Business Services space. This role will lead technical work focused on secure, reliable systems and risk-aware execution. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a Business Services environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $113,000 – $188,000 annually Responsibilities Design, build, and maintain scalable data pipelines using Databricks and related tools Develop and support batch and streaming data workflows for data ingestion and transformation Write, optimize, and maintain Python, PySpark, and SQL code for data processing Work with large-scale datasets using Databricks, Spark, and cloud storage services Troubleshoot and resolve data pipeline failures and performance issues Translate business and technical requirements into data engineering designs Document data pipelines, datasets, and engineering decisions for maintainability Qualifications Bachelor's degree in computer science, engineering, mathematics, statistics, or another relevant field 3-8 years of relevant experience in data engineering, data architecture, or cloud data platform implementation Strong experience with Python, PySpark, and SQL for data transformation and pipeline development Experience with Databricks, Spark, Delta Lake, and similar cloud-native data platforms Proficient in developing batch or streaming data pipelines and ETL/ELT workflows Ability to troubleshoot technical issues and communicate clearly in team environments Experience applying data governance and security practices within cloud platforms Benefits Flexibility for remote work within the U.S Comprehensive total rewards package Diverse and supportive workplace environment Opportunity to work on cutting-edge AI and data projects Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
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.