Lab IV
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (remote) with a contract length of "unknown" and a pay rate of "unknown." Key skills required include Python, AWS, SQL, PostgreSQL, and experience with ETL processes and MLOps workflows.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Francisco Bay Area
-
🧠 - Skills detailed
#Data Pipeline #PostgreSQL #Cloud #Python #AWS (Amazon Web Services) #Data Engineering #DevOps #Airflow #Deployment #"ETL (Extract #Transform #Load)" #Databases #ML (Machine Learning) #SQL (Structured Query Language)
Role description
We are a Berlin based data consultancy, looking for a Data Engineer for our client's project (remote first)
Project
Build and evolve a backend platform that analyzes multiple data sources to detect service outages and shutdowns.
What you’ll do
• Design and implement backend services and APIs
• Build reliable data pipelines and integrations
• Work hands-on with infrastructure and deployment
• Prepare and transform data for analytics and ML use cases
What we’re looking for
• Strong data engineering, software design and architecture skills
• Backend experience (Python, APIs, Shell)
• DevOps experience (AWS or similar cloud platforms)
• Fluent SQL
• Relational databases (PostgreSQL preferred)
• Experience with non-relational databases
• Understanding of modern ETL and orchestration (e.g. Airflow)
• Basic understanding of ML concepts and MLOps workflows (data collection, preparation, training readiness)
We are a Berlin based data consultancy, looking for a Data Engineer for our client's project (remote first)
Project
Build and evolve a backend platform that analyzes multiple data sources to detect service outages and shutdowns.
What you’ll do
• Design and implement backend services and APIs
• Build reliable data pipelines and integrations
• Work hands-on with infrastructure and deployment
• Prepare and transform data for analytics and ML use cases
What we’re looking for
• Strong data engineering, software design and architecture skills
• Backend experience (Python, APIs, Shell)
• DevOps experience (AWS or similar cloud platforms)
• Fluent SQL
• Relational databases (PostgreSQL preferred)
• Experience with non-relational databases
• Understanding of modern ETL and orchestration (e.g. Airflow)
• Basic understanding of ML concepts and MLOps workflows (data collection, preparation, training readiness)
