Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates should have 3-5 years of experience in analytics engineering or data engineering, demonstrating strong proficiency in SQL and a solid understanding of data modeling fundamentals. Familiarity with command-line tools and ETL/ELT processes, including dbt (preferred) and Dagster, is required, along with experience working with cloud platforms and cloud-based data warehouses. Knowledge of modern engineering best practices, such as version control and CI/CD, is also necessary.
As an Analytics Engineer at Imagine Pediatrics, you will be responsible for building and maintaining core data models to power analytics and reporting, investigating and validating data quality through testing and monitoring, developing scalable ELT pipelines for reporting and analysis, documenting data logic and business rules, partnering with stakeholders to understand data needs and provide actionable insights, and collaborating with other engineers to maintain and optimize the data architecture for a high-growth healthcare data platform.
24/7 virtual pediatric care and support
Imagine Pediatrics offers 24/7 virtual pediatric care customized for children with medical complexity, providing unlimited access to care via messaging, phone call, or video visit, and coordinating with the child's existing care team. Their multidisciplinary team of pediatricians, nurses, social workers, and care coordinators delivers high-quality, virtual-first care and support, with services currently available in Texas and Florida.