Data Engineer – Azure, Snowflake

🕒 July 26

🗽 New York, Ohio, +2 more states – Remote

🗽 New York – Remote 🏈 Ohio – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote

💵 $90k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

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Mindex

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1998

☁️ SaaS

📚 Education

🏢 Enterprise

SaaS • Education • Enterprise

Mindex is a leading software development company based in Rochester, NY, recognized as the #1 software developer in the region. The company specializes in innovative software and product development services, including full-stack agile development, cloud professional services, and integrations. Mindex is renowned for its flagship product, SchoolTool, a comprehensive K-12 student management system widely used by New York State school districts. As an AWS Advanced Services Partner, Mindex is committed to building smarter, modern solutions with expertise in cloud development and application modernization. The company's reputation is built on its ability to deliver cutting-edge technology and software solutions for enterprise organizations, positioning it as a preferred vendor for both private and public sector clients.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Fully Remote Work Environment • Flexible Time Off • Medical, Dental, and Vision Insurance • 401(k) with Company Match • Company-Paid Life and Disability Insurance • Professional Development Opportunities