Senior Data Engineer — Remote, AI-Driven Data Platform

Viventium; United States; On-site; USD 126,000 - 151,000; Full time

Job summary

Viventium is seeking a Senior Data Engineer to own and optimize the data platform powering analytics, embedded product capabilities, and reports across Viventium + Apploi. You will design, build, and govern scalable data solutions in Snowflake/dbt, partner with product, engineering, and business stakeholders to translate needs into reliable data models and pipelines.

This role demands a hands-on leader with strong SQL and Python skills, experience with modern orchestration tools, and a

Qualifications

• 5+ years designing, building, and supporting production data solutions.
• 5+ years with Snowflake and dbt in enterprise environments.
• Advanced SQL with performance optimization and dimensional modeling.
• Strong Python for pipeline engineering, orchestration, and automation.

Responsibilities

• Design, build, test, document, and maintain scalable data models in Snowflake/dbt.
• Develop data structures across source, staging, transformation, and analytics layers.
• Implement data quality, governance, and documentation standards.
• Create scalable data pipelines for operational databases, APIs, and event streams.
• Build and manage data orchestration workflows using Prefect or similar.
• Partner with Product and Engineering to deliver data-powered features and AI-enabled capabilities.
• Maintain security, governance, and reliability across data environments.

Skills

Snowflake

dbt

SQL

Python

Prefect / Airflow

Git / CI-CD

Data governance

Data modeling

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems / Software Engineering

Tools

Snowflake

dbt

Job description

Viventium is seeking a Senior Data Engineer to own and optimize the data platform powering analytics, embedded product capabilities, and reports across Viventium + Apploi. You will design, build, and govern scalable data solutions in Snowflake/dbt, partner with product, engineering, and business stakeholders to translate needs into reliable data models and pipelines.

This role demands a hands-on leader with strong SQL and Python skills, experience with modern orchestration tools, and a