Data Engineer: Build Scalable Data Pipelines on AWS

megazone; Town of Texas (WI); On-site; USD 90,000 - 150,000; Full time

Job summary

Megazone Cloud is seeking a Data Engineer to serve as a backbone of our data-driven culture. You are a builder who thrives in a startup mindset and enjoys hands-on work that directly impacts customers.

You will bring deep skills in Python, SQL, AWS, and hands-on experience with Databricks or Snowflake. You will design, build, and scale resilient data pipelines on AWS, own the data ecosystem, and collaborate with data science, development, and infrastructure teams.

Qualifications

• 3–5+ years of professional data engineering experience.
• 2-3+ years hands-on Python experience.
• 2-3+ years hands-on SQL experience.
• Experience with Databricks or Snowflake (certifications a plus).
• Strong AWS data solutions experience.
• Proven data wrangling and robust pipeline building.
• Builder mindset and startup mentality.
• Excellent communication and fast-thinking skills.
• Strong teamwork and collaboration skills.

Responsibilities

• Design, build, and scale data pipelines and infrastructure on AWS.
• Own the data ecosystem using Databricks and/or Snowflake.
• Write clean, optimized Python and SQL code to solve data challenges.
• Collaborate with data science, development, and infrastructure teams.
• Be flexible and contribute across diverse challenges in a startup.

Skills

Data engineering

Python

SQL

Databricks

Snowflake

AWS

Data wrangling

Builder mindset

Communication

Team player

Tools

Databricks

Snowflake

AWS

Python

SQL

Job description

Megazone Cloud is seeking a Data Engineer to serve as a backbone of our data-driven culture. You are a builder who thrives in a startup mindset and enjoys hands-on work that directly impacts customers.

You will bring deep skills in Python, SQL, AWS, and hands-on experience with Databricks or Snowflake. You will design, build, and scale resilient data pipelines on AWS, own the data ecosystem, and collaborate with data science, development, and infrastructure teams.