Data Engineer (Quality Assurance)

TL;DR

Data Engineer (Quality Assurance) (MedTech): Building and automating quality assurance frameworks for data pipelines and lakehouses with an accent on ETL validation, dbt transformations, and AI evaluation loops. Focus on implementing rigorous data quality checks across Snowflake and S3, integrating automated tests into CI/CD pipelines, and ensuring the reliability of AI-generated artifacts.

Location: Must be based in Ukraine, Poland, Romania, or Brazil

Company

hirify.global is a company focused on advanced data engineering and quality assurance, particularly within regulated data environments.

What you will do

• Integrate automated testing workflows into CI/CD pipelines using GitHub Actions to ensure continuous stability.
• Validate ETL and dbt transformations across Data Lakehouses using Medallion Architecture.
• Automate complex API workflows, validating payloads across OpenAPI, GraphQL, and AWS S3 integrations.
• Implement data quality and reconciliation checks across Snowflake, SQL, and RDF/SPARQL databases.
• Verify data lineage, governance, and visualization components using DataHub and Thoughtspot.
• Establish AI Evaluation Loops (Evals) and Guardrails to validate AI-generated outputs and prevent hallucinations.

Requirements

• Location: Must be based in Ukraine, Poland, Romania, or Brazil
• Experience with dbt, data lakehouse concepts, and Medallion architecture.
• Proficiency in SQL, Snowflake, AWS S3, and Iceberg.
• Ability to integrate quality checks into data pipelines using Apache Airflow.
• Experience in API testing and automation (REST/OpenAPI, GraphQL).
• Knowledge of CI/CD integration with GitHub Actions and observability tools (Kubernetes, Prometheus, Grafana).

Nice to have

• Experience with Graph databases (RDF/SPARQL) and data governance tools like DataHub.
• Knowledge of AI/ML testing, MLOps, RAG, and vector databases.
• Experience in regulated environments (GxP, HIPAA) or clinical data standards (CDISC, ODM, FHIR).
• Familiarity with emerging data tech like StarRocks or DuckDB.
• Proficiency with AI-native tooling such as Cursor, Claude Code, or Copilot.

Culture & Benefits

• Employee-driven culture where every person is empowered to build and shape the environment.
• Inclusive approach to hiring, encouraging candidates to apply even if they don't meet every single requirement.
• Opportunity to work with a highly modern tech stack including AI-native tools and advanced data lakehouse architectures.