Lead Data Engineer

Our Company :

PracticeTek is a large and established healthcare technology company, providing comprehensive software solutions to dental, orthodontic, chiropractic, optometry, and other healthcare clinics. We empower clinicians and their teams to deliver better patient care through innovative and user-friendly technology.

At PracticeTek, you'll have the opportunity to :

Work with dynamic technology solutions that are constantly evolving to meet the needs of the healthcare industry.

Collaborate with a talented and passionate team of individuals who are dedicated to improving the lives of patients and healthcare providers.

Make a real impact on the healthcare industry by helping to improve the efficiency and quality of care.

Build a rewarding career with opportunities for growth and development.

Engineering Department :

The Engineering department at PracticeTek is responsible for designing, developing, and scaling our SaaS platforms to meet the needs of thousands of healthcare providers. Working closely with Product and Design teams, Engineering ensures the seamless delivery of performant, secure, and cost-effective software solutions.

The Engineering team is responsible for the foundational infrastructure, security, and reliability functions that support all PracticeTek products. This includes cloud architecture, observability, cost efficiency, and compliance with regulatory requirements like HIPAA and PCI.

The Career Opportunity :

Take technical leadership in shaping and growing a high-impact data engineering practice, utilizing advanced Snowflake data solutions and guiding teams toward engineering excellence in a collaborative environment.

Areas of Accountability :

Lead and mentor other data engineers, fostering professional growth and guiding the team toward technical best practices.

Architect and oversee scalable data pipelines and Snowflake architectures supporting complex analytics workloads.

Design and implement data integration strategies that ensure reliable, consistent data ingestion from multiple sources, along with efficient data management.

Drive the implementation of advanced Snowflake features (e.g., data sharing, secure views, partitioning).

Champion data governance and security standards, embedding compliance into team culture and practices.

Actively contribute to team hiring, onboarding, mentorship, and performance management.

Competencies for Success

7+ years in data engineering, including 2+ years in a leadership or senior technical role.

Expert-level proficiency in Snowflake architecture, schema design, and optimization.

Strong expertise with Python, SQL, and modern ETL frameworks (dbt, Airflow).

Proven leadership and mentoring experience within engineering teams.

Deep knowledge of cloud infrastructure (AWS / Azure) and data orchestration tools.

Excellent collaboration, communication, and stakeholder management skills.

At PracticeTek we carefully consider a wide range of compensation factors to determine our offers of employment. This includes internal and external market factors as well as your individual experience and skills. These considerations can cause compensation to vary but we reasonably expect to pay between [Salary Range] for this position.

PracticeTek is an Equal Opportunity Employer that values employees with a broad cross-cultural perspective. We strive to create an inclusive environment, empower employees, and embrace diversity. We encourage everyone to respond. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, citizenship status, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state, or local law.