Remote Senior Data Engineer - Build ML Pipelines

Angenex; California (MD); Remote; USD 90,000 - 120,000; Full time

Job summary

An early stage startup is seeking a savvy Senior Data Engineer to join their growing team. The role involves expanding and optimizing data pipeline architecture, critical for their machine learning platform. Candidates should have at least 1 year of experience in data engineering, demonstrating proficiency in Python and advanced SQL. Knowledge in managing data warehouses and ETL pipelines is essential. This position offers an exciting opportunity as the company emerges from stealth mode with new machine learning products and growing enterprise customers.

Qualifications

• Minimum of 1 year of experience in data engineering or analytics engineering.
• Emphasis on large scale data management and processing systems.
• Experience with common SQL RDBMS and NoSQL systems.

Responsibilities

• Build and deploy data pipelines for the machine learning platform.
• Develop warehouse architectures integrating diverse data sources.
• Design analytics solutions for product development and internal teams.

Skills

Python

Advanced SQL

ETL pipelines

Data modeling

Managing data warehouses

Meltano

dbt

Airflow

Superset

Docker

Git

AWS

Job description

An early stage startup is seeking a savvy Senior Data Engineer to join their growing team. The role involves expanding and optimizing data pipeline architecture, critical for their machine learning platform. Candidates should have at least 1 year of experience in data engineering, demonstrating proficiency in Python and advanced SQL. Knowledge in managing data warehouses and ETL pipelines is essential. This position offers an exciting opportunity as the company emerges from stealth mode with new machine learning products and growing enterprise customers.