Senior Data Engineer — Hybrid & Data Platform Architect

Qualifyze; Job (KY); Hybrid; USD 60,000 - 70,000; Full time

Benefits offered by this job

Hybrid work mode

Private health care

Meal allowances

Annual personal development budget

All-company events

Job summary

Qualifyze is seeking a Senior Data Engineer to join our Product & Tech team in the United States. You will design, build, and maintain data pipelines across operational databases and the analytical platform, applying quality software engineering practices to everything you ship.

You will collaborate with product and backend engineers and business stakeholders to ensure accurate, timely data drives product decisions.

Qualifications

• Proficiency in Python for data engineering, building robust ETL/ELT pipelines and testing.
• Strong SQL skills with PostgreSQL, complex queries, performance tuning and plans.
• Hands-on experience with dbt for modeling and testing.
• Experience with Dagster or Airflow for orchestration in production.
• Working knowledge of Docker and Kubernetes for data services.
• Solid data modeling skills and understanding of OLTP/OLAP trade-offs.
• Nice to have AWS (S3, EKS) and data contract tooling

Responsibilities

• Design, build, and maintain scalable data pipelines and data products.
• Manage features and pipelines end-to-end from schema to delivery of datasets.
• Contribute to the architecture of the data platform and evaluate trade-offs.
• Apply data modeling, data quality, testing, and code review standards.
• Collaborate with Product, Engineering, and business stakeholders to translate requirements into data solutions.
• Monitor and resolve pipeline incidents; improve observability and reliability.
• Share knowledge and mentor fellow engineers through pairing and code reviews.

Skills

Python

SQL

dbt

Dagster / Airflow

Docker

Kubernetes

Data modeling

Tools

PostgreSQL

Job description

Qualifyze is seeking a Senior Data Engineer to join our Product & Tech team in the United States. You will design, build, and maintain data pipelines across operational databases and the analytical platform, applying quality software engineering practices to everything you ship.

You will collaborate with product and backend engineers and business stakeholders to ensure accurate, timely data drives product decisions.