Senior Cloud Data Engineer (AWS)

TL;DR

Senior Cloud Data Engineer (AWS): Designing and implementing scalable, efficient, and fault-tolerant data operations across structured and unstructured data systems for global health informatics with an accent on building and maintaining robust data pipelines and AWS data platform services. Focus on developing cloud-based data solutions, championing data engineering best practices, and mentoring internal engineering teams.

Location: Remote. Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Applicable to US Applicants Only. New employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment, with travel arrangements and expenses paid by the company.

Salary: $124,000 - $170,500 USD

Company

hirify.global is a new healthcare company dedicated to solving big challenges and improving lives through breakthrough solutions at the intersection of health, material, and data science.

What you will do

• Design and implement scalable, efficient, and fault-tolerant data operations across structured and unstructured data systems.
• Develop, build, and maintain AWS data platform services including S3, RDS, SQL/NoSQL databases, and data pipelines.
• Build and maintain robust data pipelines for multi‑tenant database schema changes, ingestion, transformation, and distribution of data streams.
• Partner with senior technical leads, analysts, engineers, and data scientists to deliver scalable cloud-based data solutions using AWS services.
• Champion data engineering best practices, driving standards for data quality, pipeline reliability, database design, and consumption efficiency.
• Mentor and guide internal engineering teams on pipeline development, database standards, and effective data usage.

Requirements

• Bachelor’s degree (or higher) in Computer Science, Engineering, or a related technical field.
• 8+ years of experience deploying, managing, and optimizing cloud data platforms.
• Proven experience building automation for build, test, and deployment workflows for data pipelines.
• Expertise in Python, PySpark, Terraform, CloudFormation, and advanced SQL techniques.
• Advanced proficiency in SQL with demonstrated experience in designing and optimizing complex queries.
• Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status).

Nice to have

• Experience automating workflows in multi-cloud environments (AWS, GCP, Azure).
• Hands-on experience with cloud-native architectures and distributed computing using AWS tools such as EMR, Glue, Databricks, and Data Lakehouse architectures.
• Familiarity with GraphQL for API-based data services.
• Experience with Docker, Kubernetes, and microservice‑based Data API development.
• Expertise in stream processing technologies such as Amazon Kinesis, Apache Spark, Storm, or Kafka.
• Professional certifications in AWS, GCP, Azure, or cloud‑native specialties.

Culture & Benefits

• Competitive pay and benefits benchmarked with comparable companies.
• Programs to support physical and financial well-being.
• Commitment to maintaining the highest standards of integrity and professionalism.
• Equal opportunity employer, providing consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
• Collaborative environment focused on pioneering game-changing innovations and improving lives in healthcare.

Hiring process

• New employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment (for start dates October 1st 2025 or later), with expenses paid by the company.
• Application requires providing education and work history by uploading a resume or entering information directly into application fields.