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Responsibilities Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards. Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs. Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures. Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads. Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle. Languages and Frameworks MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning. MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems. Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues. Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric. Python, working proficiency for scripting, automation, and data pipeline support is a plus. Tools Experience maintaining projects using a distributed version control system such as Git and GitHub. Experience in automated pipeline deployment and schemas into production environments. You should be experienced with agile methods and the concepts behind continuous delivery. We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST. We are eager to hear about your experience and opinions around data quality, test strategy, and test automation. Education BS in Computer Science and a minimum of five years of experience delivering production solutions Focus Minimum 5+ years working in Data Science. We expect you to have a passion and experience in shipping and maintaining production software products. You must have strong verbal and written skills. We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized. Environment US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices. We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued. Your partner for AI, consulting, software development, and nearshore staffing.
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.