Description:

Propelus® simplifies workforce compliance management in healthcare through innovative technology and strategic partnerships.
The Senior Data Analytics Engineer will transform raw data into actionable insights, collaborating with data scientists, product managers, and engineers to enhance data infrastructure and analytics pipelines.

Requirements:

Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
4+ years of experience in data engineering or analytics engineering.
Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL).
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and data warehousing services (Snowflake, Redshift, BigQuery).
Experience with ETL tools (Apache Airflow, dbt) and data modeling principles.
Strong analytical skills and experience with at least one programming language (Python, Java).
Good communication and collaboration skills, and proficiency in Git for version control.

Recognized as one of BuiltIn's 2025 Best Places to Work and a Silver Stevie® Award Winner.
Professional development allowance and flexible work-life balance with ample PTO.
401K with company matching and various health insurance options for US employees.
For LATAM employees, 100% health insurance coverage and a flexible benefits platform.

Skills

Benefits