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For our client, we are seeking a Data Infrastructure Engineer to join the team of a leader in the Business Services space. This role will lead technical work focused on cloud-enabled scalability, reliability, and delivery excellence. 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 Build and operate data ingestion pipelines for APIs and databases Optimize ETL/ELT processes for analytics-ready datasets Establish a scalable lakehouse on AWS object storage Implement metadata repository for dataset management Ensure data lineage, governance controls, and quality checks Automate AWS provisioning and enhance CI/CD for data pipelines Collaborate across teams and maintain high-quality engineering documentation Qualifications Bachelor's degree in Engineering, IT, Computer Science, or related field Minimum of six years of experience building production data pipelines Strong experience with data ingestion and ETL/ELT workflows Hands-on experience with building a data lake or delta lake on AWS Proficiency in SQL and at least one programming language (Python preferred) Experience with metadata management and data governance Experience implementing automated AWS provisioning using Infrastructure as Code (IaC) Benefits Medical, Rx, Dental & Vision Insurance Parental Leave 401(k) Retirement Plan Tuition Reimbursement and Personal Development Opportunities Employee Assistance Program Corporate Sponsored Events & Community Outreach 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.