> Markdown version of [/jobs/ext/1408660-data-engineer-azure-snowflake-remote](https://www.wearedevelopers.com/jobs/ext/1408660-data-engineer-azure-snowflake-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Azure & Snowflake) - Remote - **Company:** Mindex Technologies Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $90,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Big Data, Business Systems, Cloud Storage, Data Validation, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Database Queries, Dimensional Modeling, Document-Oriented Databases, Google Analytics, JSON, Python (Programming Language), Machine Learning, Performance Tuning, Azure Data Lake, Salesforce.Com, SQL Databases, Systems Integration, Extensible Markup Language (XML), Enterprise Software Applications, Cloud Platform System, Azure Data Factory, Snowflake, Marketo, Data Management, Data Pipelines, Workday - **Published:** July 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=329cdc7ca8132e90 ## About the Role * 3 - 5+ years of experience in data engineering, ETL development, or data integration. * Experience working with Snowflake or another modern cloud data warehouse, including data modeling, transformations, and performance optimization. * Hands-on experience with Azure Data Factory or a similar cloud-based orchestration tool, including pipeline orchestration and workflow management. * Experience working with Azure Data Lake Storage or similar cloud storage platforms. * Strong SQL skills, including writing complex queries, optimizing performance, and working with large datasets. * Experience developing data solutions using Python. * Understanding of data warehousing concepts, ETL/ELT processes, and dimensional modeling. * Experience integrating data through APIs and working with JSON, XML, or similar data formats. * Experience integrating enterprise SaaS applications such as Salesforce, Workday, GA4, Marketo, or similar business systems. Preferred * Experience with dbt or similar modern data transformation frameworks. * Experience supporting AI or machine learning initiatives through data engineering. * Experience using AI-assisted development tools while following responsible AI and security practices. ## Description You'll partner with business and technical stakeholders to understand data needs, design practical solutions, and ensure data is accurate, accessible, and ready for decision-making. The ideal candidate enjoys solving complex data challenges, writing clean and efficient code, and building dependable data platforms in Azure and Snowflake. Compensation $90,000 - $140,000 What You'll Accomplish * Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python. * Build ETL and ELT processes that integrate data from enterprise applications, APIs, and third-party systems. * Develop reliable datasets and data models that support reporting, business intelligence, automation, and AI initiatives. * Partner with business stakeholders to gather requirements and translate business needs into technical solutions. * Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data quality. * Perform data validation, testing, and reconciliation to ensure accurate and trusted data. * Document data flows, source-to-target mappings, and technical processes to support ongoing maintenance and knowledge sharing. * Collaborate with cross-functional teams to continuously improve the organization's cloud data platform and engineering practices., In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Destigmatizing the Workplace: Building Real Inclusion](https://www.wearedevelopers.com/videos/1492-destigmatizing-the-workplace-building-real-inclusion) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Future of Employee Wellbeing: Benefits, Trust & Performance](https://www.wearedevelopers.com/videos/1808-the-future-of-employee-wellbeing-benefits-trust-performance) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)