Note: The job is a remote job and is open to candidates in USA. Mindex is a company that specializes in custom software, cloud, data, and AI solutions. They are seeking a Data Engineer to build modern cloud-based data solutions, develop scalable data pipelines, and partner with stakeholders to ensure data accuracy and accessibility.
Responsibilities
- 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
Skills
- 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
- 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
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
Company Overview