Staff Data Engineer

Qualifyze; United States; Hybrid; USD 87,000 - 99,000; Full time

Benefits offered by this job

Hybrid working mode

Annual personal development budget

Private health care

Meal allowances

All-company events in Europe

Job summary

Qualifyze is seeking a Staff Data Engineer to join our Product & Tech team to shape the evolution of our data platform, strengthening both operational and analytical systems.

You will partner with product and backend engineers to design scalable data solutions, own data pipelines end-to-end, and promote quality engineering practices across data products. A strong background in Python, SQL, dbt, Dagster, Docker, and Kubernetes is required, with a focus on delivering impact in a hybrid setup.

Qualifications

• Proficiency in Python for data engineering: building robust ETL/ELT pipelines, modular libraries, and tooling with strong testing and observability.
• Advanced SQL skills with PostgreSQL: complex query design, performance tuning, indexing strategies, and understanding execution plans for OLTP/OLAP workloads.
• Strong experience with dbt: data modeling, testing, and documenting analytical datasets, managing environments, and structuring projects for scalability.
• Hands-on experience with Dagster (or similar orchestration tools): designing assets/jobs, dependency graphs, scheduling, monitoring, and incident handling for data workflows.
• Solid knowledge of containerization and orchestration: Docker and Kubernetes for deploying data services, batch jobs, and microservices in production.
• Strong grasp of data modeling: dimensional modeling and trade-offs for operational vs analytical schemas.

Responsibilities

• Define and drive the technical vision for our data platform and architecture.
• Design scalable, reliable, and maintainable data solutions that support business growth.
• Establish and cultivate best practices around data architecture, modeling, quality, and engineering standards.
• Lead complex technical initiatives and make strategic architectural decisions across multiple teams.
• Partner with Product, Engineering, and business stakeholders to translate business needs into scalable data solutions.
• Mentor and support Data Engineers, fostering technical growth and knowledge sharing across the team.
• Drive continuous improvements that increase the scalability, reliability, and efficiency of our data platform.

Skills

Python for data engineering

Advanced SQL

Data modeling

Dagster

Docker

Kubernetes

Tools

PostgreSQL

dbt

Dagster

Job description

About Qualifyze,

Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts.

With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.

Role Overview:

We are looking for a Staff Data Engineer to join our growing Product & Tech team. In this role, you will help shape the evolution of our data platform and influence engineering decisions across multiple cross-functional teams.

Your main goal will be to partner with us in designing and scaling our data platform, strengthening both our operational databases and analytical platform, and bringing quality software engineering practices to all our data products and pipelines.

You’ll collaborate closely with the product team and backend engineers, and serve as a trusted partner to business stakeholders who depend on accurate, timely data to drive product decisions and company strategy.

This role is ideal for someone with strong skills in Python and SQL, solid software engineering fundamentals, a background in data-intensive product or platform teams where they contributed to production data architectures and pipelines end to end, and the ability to succeed in a dynamic, outcome-focused environment owning the full data cycle from operational to analytical systems.

Main responsibilities:

• Define and drive the technical vision for our data platform and architecture.

• Design scalable, reliable, and maintainable data solutions that support business growth.

• Establish and cultivate best practices around data architecture, modeling, quality, and engineering standards.

• Lead complex technical initiatives and make strategic architectural decisions across multiple teams.

• Partner with Product, Engineering, and business stakeholders to translate business needs into scalable data solutions.

• Mentor and support Data Engineers, fostering technical growth and knowledge sharing across the team.

• Drive continuous improvements that increase the scalability, reliability, and efficiency of our data platform.

Main requirements:

• Proficiency in Python for data engineering: Building robust ETL/ELT pipelines, modular libraries, and tooling with strong testing and observability.

• Advanced SQL skills with PostgreSQL: Complex query design, performance tuning, indexing strategies, and a deep understanding of execution plans for both OLTP and OLAP workloads.

• Strong experience with dbt: Data modeling, testing, and documenting analytical datasets, managing environments, and structuring projects for scalability.

• Hands-on experience with Dagster (or similar orchestration tools): Designing assets/jobs, dependency graphs, scheduling, monitoring, and incident handling for data workflows.

• Solid knowledge of containerization and orchestration: Docker and Kubernetes for deploying data services, batch jobs, and microservices in production.

• Strong grasp of data modeling: Dimensional modeling plus a clear understanding of trade-offs for operational vs analytical schemas.

Salary

At Qualifyze, our salary ranges are transparent internally, and we aim to follow a similar approach externally. For this role, we’re happy to share a reference point within the band: the expected salary range is around 75.000€ – 85.000 €, centered around the median.

Final compensation will depend on experience and performance during the process, with some flexibility within the range.

What do we offer?

• Competitive, annually reviewed compensation package

• Country vacation package that increases with your tenure

• Country specific benefits offering incl. private health care, fitness and meal allowances

• Annual personal development budget to increase your impact

• Hybrid working mode, plus up to 3 months of the year work from anywhere.

• All the best kit and tools to work effectively

• Annual in person all company event and celebration in Europe

• Working with an exceptional team, doing some of the best work of your career

Use of AI in Our Recruitment Process:

We believe in a human-led hiring process. All applications are reviewed manually by our Talent Acquisition team, and neither Talent Acquisition nor Hiring Managers use AI to screen, filter, rank, assess, or make decisions about candidates, including during interviews and assessments. During interviews, AI may be used only to support note-taking and transcription.

All hiring decisions are made by people!

Diversity & Inclusion at Qualifyze:

At Qualifyze we actively support the power of diversity, uniting complementary talents and perspectives to address new challenges. Our collective strengths help us to find innovative solutions and turn difficulties into opportunities.We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone belongs and feels heard.

We are an equal opportunity employer and we welcome applications from candidates of all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, marital status, religion, disability, or age. Our hiring practices are rooted in fairness and respect, and we strive to create a culture where everyone feels valued and empowered.