About Our Client
The organization operates in the software and cloud data solutions industry, helping businesses address complex challenges through custom software, cloud, data, and AI applications. With more than 30 years of experience, the organization develops platforms and tools that help schools and other organizations make smarter, data-driven decisions.
Its solutions support growth through innovative analytics, data integration, and technology-driven insights.
About the Opportunity
The Data Engineer is responsible for designing, building, and maintaining scalable cloud-based data pipelines and platforms. This role ensures reliable, accurate, and accessible data is available to support analytics, reporting, automation, and AI initiatives.
The position works closely with business and technical stakeholders to translate requirements into effective data solutions while improving the performance, quality, and reliability of the organization’s data infrastructure.
Responsibilities
• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python
• Build and maintain ETL and ELT processes integrating data from enterprise applications, APIs, and third-party sources
• Develop data models and datasets supporting reporting, business intelligence, automation, and AI initiatives
• Collaborate with business stakeholders to gather requirements and translate them into technical data solutions
• Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality
• Perform data validation, testing, and reconciliation to ensure accuracy and consistency
• Document data flows, source-to-target mappings, data structures, and technical processes
• Partner with cross-functional teams to enhance cloud data platforms and engineering practices
• Identify opportunities to improve data pipeline efficiency, scalability, and maintainability
Requirements
• 3–5+ years of experience in data engineering, ETL development, or data integration
• Experience with Snowflake or similar cloud data warehouses, including data modeling and performance optimization
• Hands-on experience with Azure Data Factory or comparable cloud orchestration tools
• Experience with Azure Data Lake Storage or similar cloud storage platforms
• Strong SQL skills, including complex query development and performance tuning
• Proficiency in Python for data engineering and solution development
• 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
Preferred Qualifications
• Experience with dbt or similar 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 Range and Compensation Package
• Salary range of $90,000 to $140,000 per year
Benefits & Perks
• Fully remote work environment
• Flexible time off
• Medical, dental, and vision insurance
• 401(k) plan with company match
• Company-paid life and disability insurance
• Professional development opportunities
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.
