Senior Data Engineer

Evergreen Nephrology; Poland; Remote; PLN 362,000 - 472,000; Full time

Job summary

A healthcare organization in Poland is seeking a Senior Data Engineer responsible for designing and scaling a Databricks-based data platform. You will build robust data pipelines and model healthcare data, working closely with analytics stakeholders. The ideal candidate has extensive experience in SQL and Python, and a strong background in healthcare data. A competitive salary range of $100,000 to $130,000 is offered along with generous benefits.

Benefits

Paid time off starting at 4 weeks

12 paid holidays per year

Medical, dental, and vision insurance

401(k) with employer match

Paid parental leave

Qualifications

• 8 years of technology experience.
• 5 years of data experience within the healthcare industry.
• Proven experience designing and building data pipelines on Databricks.

Responsibilities

• Architect, develop, and maintain Databricks-based data pipelines.
• Design and implement data models and subject-area data marts.
• Mentor and guide data engineers.

Skills

SQL

Python

Data modeling

Problem-solving

Collaboration skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

MS Office Suite

Job description

Overview

Evergreen Nephrology partners with nephrologists to transform kidney care through a value-based, person-centered, holistic, and comprehensive approach. We believe patients living with kidney disease deserve the best care. We are committed to improving patient outcomes and quality of life by delaying disease progression, shifting care to the home, and accelerating kidney transplants. We help nephrologists focus on the right patients at the right time across the full care spectrum by providing best-in-class interdisciplinary clinical resources, analytical insight and tools, and services to patients. We listen to the needs of our patients, employees, and client partners, continually pushing beyond the status quo in which the care system manages patients today.

Who You Are

You are devoted, compassionate, and enjoy being on the front lines of healthcare, changing the lives of patients by supporting them and the team by focusing on customers. You’re excited about being part of a team that is building a healthcare delivery model that ensures the highest possible quality of life and best outcomes for those in our care. You believe people living with kidney disease deserve the best person-centered, holistic, comprehensive care and want to influence the healthcare system to drive towards that. You thrive in innovative and evolving environments with high rates of change.

Your Role

As a Senior Data Engineer with Evergreen Nephrology, you are responsible for designing and scaling our Databricks-based data platform. This is a hands-on and strategic role responsible for building robust data pipelines, modeling multi-source data (claims, EMR/EHR, HIE, HIN), and implementing governance, quality, and lineage frameworks. The ideal candidate is an experienced engineer with strong skills in SQL, Python, Databricks and health care data modeling who can lead technical decisions, mentor the team, and partner with business and analytics stakeholders to deliver a secure and scalable platform that enables advanced analytics and AI.

Role Responsibilities

• Architect, develop, and maintain Databricks-based data pipelines to integrate healthcare data (claims, clinical, operational)
• Design and implement scalable data models and subject-area data marts
• Implement data quality, lineage, security, and compliance frameworks
• Optimize platform performance, reliability, and cost efficiency
• Mentor and guide data engineers, setting coding standards and best practices
• Collaborate with analytics, product, and business teams to deliver data solutions
• Other duties consistent with this role, as assigned.

Required Qualifications

• Bachelor's Degree in Computer Science or other quantitative discipline
• 8 years of technology experience
• 5 years of data experience within the healthcare industry
• Proven experience designing and building data pipelines on Databricks
• Strong expertise in SQL and Python for data transformations, validation, and automation
• Deep understanding of data modeling techniques, best practices, and specifics of healthcare data
• Experience integrating healthcare data sources such as claims, EMR/EHR, and HIE feeds
• FHIR knowledge preferred
• Knowledge of data governance, lineage, security, and HIPAA compliance requirements
• Ability to optimize performance, scalability, and cost efficiency
• Experience mentoring engineers and establishing coding and architecture standards
• Strong collaboration skills to work with analytics, product, and business stakeholders
• Excellent problem-solving skills and ability to translate business needs into technical solutions
• Intermediate skills with MS Office Suite of products including Outlook and Teams
• Able to work effectively in a primarily remote environment

Compensation

The pay range for this role is $100,000 to $130,000 annually. Exact pay is determined based on experience, education, demand for the role, and other role-specific factors.

This role is also eligible for an annual bonus.

Evergreen Nephrology’s total rewards program is designed to support you in and outside of work. You can expect:

• Paid time off starting at 4 weeks for full-time employees
• 12 paid holidays per year
• Medical, dental, vision and life insurance, including an HSA with employer match
• Reimbursement for continuing medical education for eligible roles
• A 401(k) program where Evergreen matches up to 4% of contributions
• Paid parental leave
• A robust training and development program that starts with onboarding and continues throughout your career with Evergreen Nephrology

Equal Opportunity

Evergreen Nephrology is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any other protected category under local, state or federal laws.