Senior Data Engineer

United AI Systems; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

United AI Systems is seeking a data engineering specialist to ensure accurate data flow from creation through presentation layers. The role focuses on advancing the Data Engineering stack, containerization, and developing ETL pipelines while leveraging data modeling to build robust analytics warehouses.

Ideal candidates will have 5+ years of experience, strong communication skills, and proficiency in Python, SQL, DevOps, and databases.

Qualifications

• Minimum of 5 years of relevant professional experience.
• Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes.
• Proficient in Python, SQL, DevOps, and databases.
• Strong communication skills (written/verbal). Experience modeling data sets for different types of sources and business processes.

Responsibilities

• Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.
• Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more.
• Use your expertise in data modeling to design, build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.

Skills

Strong communication

5+ years experience

Tools

Python

SQL

DevOps

Databases

Containerization

ETL pipelines

Data modeling

Job description

• Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.
• Improve our Data Engineering stack through containerization, data modeling. developing our ETL pipelines, and more.
• Minimum of 5 years of relevant professional experience
• Use your expertise in data modeling to design, build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.
• Proficient in Python, SQL, DevOps, and databases.
• Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes.
• Strong communication skills (written/verbal). Experience modeling data sets for different types of sources and business processes.