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Data Engineer (Azure & Snowflake) - Remote

3 weeks, 6 days ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Azure dbt JSON Machine Learning Python Salesforce Snowflake SQL XML
Apply Now
Mindex

Mindex

Mindex is a leading software development company in Rochester, NY, specializing in solutions for large enterprises and K-12 schools. Their flagship product, SchoolTool, is a trusted Student Management System used statewide.

Internet Software & Services
251-1K
Founded 1994
View All Jobs 2

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 for maintenance and knowledge sharing.
  • Collaborate with cross-functional teams to improve the 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 orchestration tool for pipeline orchestration and workflow management.
  • Experience with Azure Data Lake Storage or similar cloud storage platforms.
  • Strong SQL skills, including complex queries, performance optimization, and work 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, or Marketo, or similar business systems.
  • Preferred: Experience with dbt or similar modern data transformation frameworks.
  • Preferred: Experience supporting AI or machine learning initiatives through data engineering.
  • Preferred: Experience using AI-assisted development tools while following responsible AI and security practices.

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.

Interested in this position?

Apply directly on the company website

Apply Now

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