Senior Data Engineer: Lakehouse & AI Pipelines (Omaha)

Milan Laser; Omaha (NE); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Paid time off

7 holidays

401k with match

Health, dental, disability, and life保险

Free laser hair removal

Cellphone stipend

Career advancement opportunities

Job summary

Milan Laser Hair Removal is seeking a Senior Data Engineer to design, build, and optimize data pipelines and a Snowflake-based lakehouse architecture. You will enable BI, analytics, and AI projects while partnering with data engineers and stakeholders across the organization.

You will work on on-site data infrastructure in Omaha, NE, focusing on data quality, governance, and scalable data models, with opportunities for growth and impactful analytics initiatives.

Qualifications

• Four years of experience building ETL/ELT data pipelines.
• Five years of SQL experience.
• Three years of Python scripting.
• Experience building semantic models and analytics engineering.

Responsibilities

• Design and build scalable ETL/ELT pipelines integrating Salesforce and marketing platforms.
• Model data across Bronze, Silver, and Gold layers for reporting and analytics.
• Design and implement data quality checks and governance procedures.
• Lead solution design and mentor other data engineers.
• Document data pipelines and architectural decisions for stakeholders.

Skills

SQL

Python

Data modeling

ETL pipelines

dbt

Power BI

Git

Snowflake

Education

Bachelor’s degree in information technology or computer science

Tools

dbt

Power BI

Snowflake

Matillion

Job description

Milan Laser Hair Removal is seeking a Senior Data Engineer to design, build, and optimize data pipelines and a Snowflake-based lakehouse architecture. You will enable BI, analytics, and AI projects while partnering with data engineers and stakeholders across the organization.

You will work on on-site data infrastructure in Omaha, NE, focusing on data quality, governance, and scalable data models, with opportunities for growth and impactful analytics initiatives.