Senior Data Engineer (AI)

Location: United States; hybrid workplace

Company

hirify.global is a custom product engineering company supporting multinational organizations and scaling startups with complex technology challenges through a global team of developers, consultants, analysts, and product owners.

What you will do

• Design, develop, and maintain scalable ETL/ELT pipelines across ERP, CRM, and operational platforms.
• Build and support cloud-based data lakehouse architecture aligned with medallion layers, governance standards, and cloud-first strategy.
• Develop data models, semantic layers, and curated datasets for analytics, reporting, and business intelligence.
• Translate business requirements into secure, scalable data solutions with product, engineering, and business stakeholders.
• Ensure data quality, integrity, security, availability, and reliability while monitoring pipelines and troubleshooting issues.
• Optimize SQL queries, pipelines, and storage across AWS and Azure, and enable AI and analytics initiatives with accessible data.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 4+ years of experience in data engineering or data platform development.
• Strong experience designing and building ETL/ELT pipelines in cloud environments.
• Hands-on experience with AWS, including S3, Redshift, Glue, and DMS, and Azure, including Data Factory and SSIS.
• Strong SQL proficiency and relational database design experience.
• Solid understanding of data warehousing, data lakes, and lakehouse architecture.
• Experience processing structured, semi-structured, and unstructured data.
• Experience with data modeling, data quality, and performance optimization.
• Strong analytical, problem-solving, communication, collaboration, feedback, escalation, and urgency-management skills.

Nice to have

• Experience with medallion and lakehouse architecture patterns and multi-cloud AWS/Azure environments.
• Experience with Databricks, Spark, Azure Fabric, Power BI, or enterprise reporting platforms.
• Familiarity with AI/ML data enablement, AWS Bedrock, or RAG concepts.
• Experience with Git, Azure DevOps, and CI/CD practices.
• Understanding of Agile methodologies and SDLC.

Culture & Benefits

• Friendly, open-door environment with a strong professional community and collaborative One Team culture.
• Large-scale projects with global impact, diverse domains, internal mobility, and opportunities to expand expertise.
• Internal meetups, conferences, workshops, Udemy access, language courses, and company-paid certifications.
• Healthcare, basic life insurance, and short- and long-term disability insurance according to the company’s benefit plans.