Senior Data Engineer – Snowflake Lakehouse & AI Enablement

Milan Laser Hair Removal; Omaha (NE); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid time off starting immediately

6 Paid holidays

$50 cellphone stipend monthly

401(k) with 4% employer match after 90

Employee and spouse free laser hairrem

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 powering analytics and AI initiatives.

The role requires SQL (5+ years), Python (3+ years), ETL/ELT experience, and experience with semantic data models to support Power BI dashboards and self-service analytics. This is an on-site position in Omaha, NE.

Qualifications

• Bachelor’s degree in information technology, computer science, or related field OR equivalent education/experience.
• Four years of ETL/ELT experience in data warehouse or lakehouse environment.
• Five years of SQL experience.
• Three years of Python or scripting language experience.
• Experience building semantic layer or analytics models (dbt, Power BI datasets, or equivalent).
• Experience with data platforms to collect, store, and use data efficiently.

Responsibilities

• Design, build, optimize, and test data pipelines and lakehouse architecture powering data platform, BI, and AI initiatives.
• Lead Snowflake-based medallion data architecture with curated and semantic layer models for dashboards and analytics.
• Collaborate with engineers; ensure data quality, reliability, and governance across pipelines and models.
• Provide technical leadership, code reviews, and mentorship to other data engineers.

Skills

ETL pipelines

SQL

Python

Semantic models

Collaboration

Communication

Education

Bachelor’s degree in IT/CS or related

Equivalent education/experience

Tools

Snowflake

dbt

Power BI

Matillion

Salesforce API

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 powering analytics and AI initiatives.

The role requires SQL (5+ years), Python (3+ years), ETL/ELT experience, and experience with semantic data models to support Power BI dashboards and self-service analytics. This is an on-site position in Omaha, NE.