Job VC
Data Engineer (Mid)
Technologies
Description
Mid-Level Data Engineer — AI & HealthTech
About the Role
We are looking for a Mid-Level Data Engineer to help build and scale our in-house AI systems focused on the health and fitness industry.
You will work closely with Senior ML engineers and backend developers to design data pipelines, optimize large datasets, and support machine learning infrastructure used across our platform.
This role is ideal for someone who enjoys solving data challenges, thinks out of the box, and contributing to AI-driven products that impact real users.
Responsibilities
Build and maintain scalable ETL/ELT data pipelines
Structure and optimize large health, fitness, and behavioral datasets
Support AI/ML workflows and data preparation for model training
Design efficient database schemas and data architectures
Work with APIs, third-party integrations, and real-time data processing
Monitor data quality, integrity, and performance
Collaborate with engineering and AI teams on internal tooling and automation
Improve infrastructure for analytics and AI deployment
Requirements
2–4+ years of experience as a Data Engineer or similar role
Strong experience with SQL and relational databases
Experience with Python for data processing and automation
Familiarity with cloud platforms such as AWS or Azure
Experience with data warehousing and pipeline tools
Understanding of AI/ML data workflows is a strong advantage
Ability to work independently and solve complex technical problems
Strong communication and documentation skills
Nice to Have (Not must)
Experience working with healthcare, medical or fitness-related data
Knowledge of vector databases, embeddings, or LLM infrastructure
Experience with Airflow, Kafka, Spark, or similar tools
Exposure to analytics and BI platforms
What We Offer
Flexible remote-friendly environment
High ownership and fast-moving team culture
Competitive salary with bonuses.
Long-term growth opportunities.
Location
Remote / Hybrid (Preferred overlap with EU or US time zones)
About the Role
We are looking for a Mid-Level Data Engineer to help build and scale our in-house AI systems focused on the health and fitness industry.
You will work closely with Senior ML engineers and backend developers to design data pipelines, optimize large datasets, and support machine learning infrastructure used across our platform.
This role is ideal for someone who enjoys solving data challenges, thinks out of the box, and contributing to AI-driven products that impact real users.
Responsibilities
Build and maintain scalable ETL/ELT data pipelines
Structure and optimize large health, fitness, and behavioral datasets
Support AI/ML workflows and data preparation for model training
Design efficient database schemas and data architectures
Work with APIs, third-party integrations, and real-time data processing
Monitor data quality, integrity, and performance
Collaborate with engineering and AI teams on internal tooling and automation
Improve infrastructure for analytics and AI deployment
Requirements
2–4+ years of experience as a Data Engineer or similar role
Strong experience with SQL and relational databases
Experience with Python for data processing and automation
Familiarity with cloud platforms such as AWS or Azure
Experience with data warehousing and pipeline tools
Understanding of AI/ML data workflows is a strong advantage
Ability to work independently and solve complex technical problems
Strong communication and documentation skills
Nice to Have (Not must)
Experience working with healthcare, medical or fitness-related data
Knowledge of vector databases, embeddings, or LLM infrastructure
Experience with Airflow, Kafka, Spark, or similar tools
Exposure to analytics and BI platforms
What We Offer
Flexible remote-friendly environment
High ownership and fast-moving team culture
Competitive salary with bonuses.
Long-term growth opportunities.
Location
Remote / Hybrid (Preferred overlap with EU or US time zones)