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AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior Data Engineer to architect and build an enterprise data platform from the ground up on Snowflake and Azure, owning the full stack from infrastructure provisioning through pipeline development, data modeling, governance, and observability. You will build Bronze/Silver/Gold data models using SQLMesh, provision all platform resources with Terraform, implement CI/CD pipelines via GitHub Actions, and enforce HIPAA-aligned data handling and Snowflake RBAC standards. The role is a solo senior contributor position requiring high ownership and the ability to deliver production-grade platform without specialist support teams. WHAT YOU WILL DO - Develop and maintain scalable data pipelines ingesting from enterprise source systems (EHR, ERP, CRM, SaaS, PMS) into Snowflake using Azure Data Factory, Azure Event Hub, and ADLS Gen2. - Build and optimize analytics-ready data models (Bronze/Silver/Gold layers) using SQLMesh. - Provision and manage all platform infrastructure through Terraform, including Snowflake objects, Azure resources, networking components, and access controls, following infrastructure-as-code standards. - Implement CI/CD pipelines using GitHub Actions for automated testing, environment promotion, and controlled multi-environment releases (dev/test/staging/production). - Design and enforce data governance, security, and access control standards, including Snowflake RBAC, row-level security, column masking, and HIPAA-aligned data handling practices. - Configure and maintain cloud networking and private connectivity, including Azure Private Endpoints, Private Link, Private DNS zones, managed identities, and network security groups. - Build and operate platform-wide observability using Datadog or equivalent, covering pipeline health, data freshness, anomaly detection, alerting, and end-to-end data lineage. - Write production-grade Python for ingestion utilities, data quality frameworks, and platform integrations, including reconciliation checks and automated tests that block bad data from reaching production. - Apply Agile delivery practices including sprint planning, standups, and backlog refinement in collaboration with analytics and business stakeholders. - Establish and document data engineering standards, reusable patterns, and best practices that scale with the platform and organization. - Diagnose and resolve production issues across pipelines, infrastructure, networking, security, and platform services. MUST HAVES - 4+ years of hands-on data engineering experience with full production pipeline ownership in a lean, high-ownership environment (you build it, you own it, you support it). - Proven track record building and managing cloud data platforms, featuring deep expertise in Snowflake administration and performance tuning . - Strong SQL and data modeling fundamentals , including Kimball methodology, dimensional design, and Slowly Changing Dimension (SCD) management. - Production experience with SQLMesh or DBT operating in a warehouse-centric architecture. - Hands-on experience ingesting data from REST APIs and SQL Server using Azure Data Factory (ADF) and Azure Functions . - Hands-on experience using Terraform for infrastructure provisioning, paired with robust CI/CD experience using GitHub Actions, Azure DevOps, or equivalent . - Proven ability to rapidly audit, take over, and operate an existing data platform built by a third-party vendor. - Upper-intermediate English level. NICE TO HAVES - Experience with Power BI, including building or supporting semantic models and paginated reports. - Healthcare domain knowledge, including familiarity with dental, medical, or HIPAA-regulated data environments. - Experience with Azure VNet integration, including configuring virtual network peering, service endpoints, or VNet-injected resources. PERKS AND BENEFITS - Growth without limits : build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation : get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility : work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects : build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture : join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support : access local well-being programs and people-focused support tailored to your location
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.