Senior Data Engineer (AI)

Location: Seattle, Washington, United States; this is a Seattle-based role

Salary: $173,100–$259,700 USD annually in Seattle and Washington, D.C.; the general range is $157,400–$236,000 USD.

Company

hirify.global is a global nonprofit focused on reducing poverty, disease, and inequity.

What you will do

• Design, build, test, deploy, and support configuration-driven ELT/ETL pipelines across enterprise applications, databases, APIs, file repositories, and partner data sources.
• Develop reusable ingestion and transformation patterns for structured, semi-structured, and unstructured data, plus curated data products and dimensional models.
• Modernize legacy data warehouse and ETL solutions into lakehouse, cloud warehouse, and ELT-based architectures using Azure, Databricks, Snowflake, dbt Cloud, SQL, Python, and Spark/PySpark.
• Improve platform reliability through monitoring, data quality controls, observability, incident response, CI/CD, automated testing, security, and cost optimization.
• Enable enterprise search, AI-assisted knowledge discovery, retrieval-augmented generation, analytics, and data science through governed data, metadata, permissions, and lineage.
• Lead design and code reviews, document data platforms and operations, collaborate with architects and product teams, and mentor engineers.

Requirements

• Typically 7+ years of relevant data engineering experience in enterprise environments.
• Bachelor’s degree in computer science, data engineering, information systems, or a related field, or equivalent experience.
• Strong hands-on experience with Azure data services, Databricks, Snowflake, and dbt Cloud; Azure Data Factory and Fivetran experience is preferred.
• Advanced SQL and Python skills, with practical Spark/PySpark or Scala and cloud automation experience.
• Experience with lakehouse, cloud data warehouse, ELT/ETL, dimensional modeling, data quality, governance, security, CI/CD, and automated testing.
• Unrestricted work authorization in the United States is required. Immigration-related sponsorship is not provided.

Nice to have

• Experience with Power BI, Collibra, semantic-layer platforms, vendors, or distributed engineering teams.
• Experience enabling search, RAG, and other AI use cases through data architecture, metadata, permissions, lineage, and evaluation.

Culture & Benefits

• Comprehensive medical, dental, and vision coverage with no premiums.
• Generous paid time off, paid family leave, foundation-paid retirement contributions, and regional holidays.
• Opportunities to participate in employee communities and contribute to diversity, equity, and inclusion.
• Employment is contingent upon successful completion of a background check.
• Candidate accommodations are available throughout the hiring process.