AI SCORE 8.5

Remote Senior Data Engineer - AI & Health Tech

$180K–$270K/year

About the Role

We are recruiting a Remote Senior Data Engineer to join our innovative team at Sanctuary Computer. This role is pivotal in shaping the future of data architecture in the AI and health & wellness space. As a Senior Data Engineer, you will design and own data pipelines, workflow orchestration, and complex data integrations, ensuring the reliability and scalability of our data platform.

What You'll Do

  • Monitor and maintain data pipelines, troubleshooting errors, and addressing format drift.
  • Extract and enrich additional data elements from diverse sources.
  • Reprocess and validate large datasets in batch workflows.
  • Design and integrate new data sources into existing pipelines.
  • Align and integrate extracted data with the core application data model.
  • Participate in code reviews, providing constructive feedback and ensuring adherence to best practices.
  • Contribute to project success by managing team velocity, project scope, budget, and timeline.
  • Negotiate with clients to align project scope with budget and timeline.

Requirements

  • Senior-level Python expertise.
  • Experience with data/workflow orchestration tools (e.g., Prefect, Airflow, Dagster).
  • Thorough understanding of ETL & data transformation for industry standard LLMs (OpenAI, Claude, etc.).
  • Familiarity with Large Language Models (LLMs).
  • Skilled in interfacing with APIs (OpenAI, Google Gemini/Vertex, etc.) using wrapper libraries.
  • Practical experience in prompt engineering.
  • 5+ years of experience in backend development (Ruby on Rails, Elixir Phoenix, Python Django, or Node Express).

Nice to Have

  • Experience with Google Cloud Platform (GCP), particularly Cloud Run and Cloud Tasks.
  • Knowledge of search technologies, including embeddings and vector databases.
  • Familiarity with PySpark for batch data processing.
  • Client-facing experience to gather requirements and provide technical solutions.
  • Product management experience in defining product roadmaps.
  • Engineering management experience in leading teams and mentoring developers.

What We Offer

  • Competitive salary ranging from $180,000 to $270,000 per year.
  • Equity options for qualified candidates.
  • Flexible remote work environment.
  • Opportunities for professional growth and development.
  • Collaborative and creative team culture.
  • Engaging projects that make a difference in the world.

Join us as a Remote Senior Data Engineer and contribute to innovative projects in the AI and health tech industries. Apply now and be part of a team that values creativity, diversity, and quality work.

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Senior Data Engineer position offers a competitive salary and the chance to work on innovative AI projects in the health tech industry. Join a creative and collaborative team!

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and experienced with ETL processes, particularly using Prefect and Airflow, to build scalable data pipelines tailored for health tech applications.

Self-motivated and disciplined, thriving in a remote work environment, capable of managing time effectively and collaborating asynchronously with cross-functional teams.

Strong analytical mindset with a focus on prompt engineering and API integrations, leveraging Google Cloud Platform to optimize data workflows and enhance data accessibility.

Learning Resources

Python for Data Engineeringcourse

Career Path

Remote Senior Data Engineer - AI & Health Tech(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$25B
Annual Growth
12.5%
AI Adoption in Health Tech
45%
Investment in AI Health Tech
+30%
Labour Demand for Data Engineers
+22%
Avg Salary for Senior Data Engineers
$140K

Skills & Requirements

Required
PythonETLPrefect
Growing in Demand
Machine LearningData WarehousingCloud Architecture
Declining
HadoopMapReduce

Domain Trends

Increased Integration of AI in Health Tech
AI-driven applications in health technology are expected to grow by 45% in the next two years, enhancing diagnostics and patient care.
Shift Towards Cloud-Based Data Solutions
Over 60% of health tech companies are migrating to cloud platforms, with Google Cloud Platform being a preferred choice for scalability and security.
Rise of Real-Time Data Processing
Real-time data processing demand is increasing, with a projected growth of 35% as organizations seek immediate insights for decision-making.

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