TL;DR

Data Engineer: Building and maintaining ETL pipelines to empower analysts and data scientists in the healthcare IT sector with an accent on data representation, quality, and documentation. Focus on supporting data usage needs of downstream analytics teams, ensuring data integrity, and resolving data-related issues.

Location: Remote availability for some roles.

Company

%hirify_global% is a company with a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform.

What you will do

Create, maintain, and support ETL pipelines.
Work with application development teams to understand data representation.
Maintain documentation for the Data Warehouse and other data products.
Support data usage needs of downstream analytics teams.

Requirements

BS in Computer Science or equivalent work experience.
Proficient in SQL and relational databases.
Experience with object-oriented programming.
Strong problem solving skills, adaptable, proactive and willing to take ownership.
Strong commitment to quality, architecture and documentation.

Nice to have

Experience using AWS or other cloud services.
Experience with big data tools (Hadoop, Spark, Kafka, Airflow).
Experience with Python, Scala and R.

Culture & Benefits

Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution.
Generous Paid Time Off and Paid Parental Leave programs.
Professional development opportunities, including tuition reimbursement programs and unlimited access to .
Global presence and in-person collaboration opportunities.
Dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles.