Senior Data Engineer - LATAM Remote

We are looking for a Senior Data Engineer to build and expand the company’s data engineering and analytics infrastructure. You’ll be working in a fast-paced collaborative environment and contribute to our team's mission: Turn the complex world of healthcare into a simple and beautiful experience for millions of users. This role is remote based in Latin America and Fluent ability to communicate in written and spoken English is required.

Responsibilities 

• Work with internal and external stakeholders to determine their data needs and formulate the technical solutions to solve them
• Collaborate with other data engineers and analysts to implement these solutions in a scalable fashion using the latest open-source technologies
• Maintain and expand existing data engineering and analytics infrastructure to ensure their efficiency and stability
• Educate and mentor other engineers on data engineering best practices 

Qualifications

• You know data engineering: 

• 5+ years of work experience in a professional data engineering environment
• Have a strong prior experience working on Data Engineering projects such as developing ETL/ELT pipelines, Data Lakes, and Data Warehouses
• Hands-on experience with best-of-breed Data Engineering products such as GCP BigQuery, Airflow, DBT, Fivetran, StitchData, or similar
• Experience working with both SQL (GCP CloudSQL, PostgreSQL, MS SQL Server) and NoSQL (MongoDB, GCP PubSub, Redis, RabbitMQ) data sources
• Familiar with data cleaning, sanitization, and adequate handling of sensitive information 

• You know computer science and engineering: 

• Bachelor's Degree in computer science, engineering, statistics, computational linguistics, or other quantitative field, or equivalent professional experience
• Strong computer science background to choose the right algorithms, systems approaches and patterns when solving problems
• Proven track record of designing and implementing data-driven architectures
• DevOps experience working with Google Cloud Platform, Kubernetes, Docker, and Spinnaker strongly preferred 

• You have a sense of ownership: 

• Take responsibility for your projects and pride in your work
• Have a commitment to production quality code and tests 

• You come up with novel solutions to a diverse set of problems: 

• Ask hard questions and challenge assumptions to ensure that we’re solving the right problems
• Have flexibility to work on the team’s most pressing problems 

What sets you apart

• Experience working with health system partners data (e.g. EHRs, HIEs, ADT feeds, claims/pre-auth feeds)
• Experience with HL7 FHIR data format and APIs
• Experience with BI platforms such as Metabase or PowerBI