Data Engineer (Azure & Snowflake)

About the role

Mindex is seeking a skilled Data Engineer to join our team. This role involves building modern cloud-based data solutions that drive smarter business decisions.

Responsibilities

• Develop scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python.
• Build ETL and ELT processes to integrate data from various business systems, APIs, and third-party sources.
• Create reliable datasets and data models that support reporting, BI, automation, and AI initiatives.
• Partner with business stakeholders to understand data needs and translate them 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 for 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 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 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.

Pay

$90,000 - $140,000

Schedule

Full-time, remote work environment.