Sr. Data Engineer
Rochester, NY · Irvine, CA · Frisco, TX · Rochester, New York, United States
- Pay
- Salary not listed in the saved posting
- Work setup
On-site — work setup source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Tech › Engineering — team source
Department: Tech › Engineering
From the employer’s posting- Apply by
26 Nov 2026, 05:00 UTC — apply by source
Application deadline: 2026-11-26T05:00:00.000Z
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require sponsorship for employment visa status (e.g., H-1B, TN, etc.)? Please note: This includes individuals currently on OPT/STEM OPT who will eventually require a change in status to continue working long-term
From the employer’s application form
What you’ll work on
Full postingDefine the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models.
Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL.
Collaborate and multiply: Act as a key "force multiplier" within our cross-functional teams, leading ambiguous projects from conception to delivery.
From the employer’s posting
Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on AWS, not just maintain them. Define the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models. Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and mentor junior engineers.
Define the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models. Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and mentor junior engineers. Collaborate and multiply: Act as a key "force multiplier" within our cross-functional teams, leading ambiguous projects from conception to delivery.
Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and mentor junior engineers. Collaborate and multiply: Act as a key "force multiplier" within our cross-functional teams, leading ambiguous projects from conception to delivery. Be a flexible leader: Embrace a "builder" mentality. In a startup, you'll have the flexibility to solve diverse challenges, and your voice will be critical in shaping our technical roadmap.
Education & alternatives
Who We're Looking For Megazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture. You are a "builder" at heart, a seasoned expert who thrives on solving complex problems. You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor others. You have deep expertise in data architecture, data wrangling, Databricks or Snowflake, and are a master of Python, SQL, and AWS. What You'll Do
Tools in this posting
- Python
- SQL
- AWS
- Databricks
- Snowflake
Source — Tool mentions in context
Who We're Looking For Megazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture. You are a "builder" at heart, a seasoned expert who thrives on solving complex problems. You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor others. You have deep expertise in data architecture, data wrangling, Databricks or Snowflake, and are a master of Python, SQL, and AWS. What You'll Do
- Define the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models. - Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and mentor junior engineers. - Collaborate and multiply: Act as a key "force multiplier" within our cross-functional teams, leading ambiguous projects from conception to delivery.
- 5-8+ years of professional data engineering experience. - Deep, expert-level proficiency with Python. - Deep, expert-level proficiency with SQL.
- Deep, expert-level proficiency with Python. - Deep, expert-level proficiency with SQL. - Hands-on, expert-level experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
What You'll Do - Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on AWS, not just maintain them. - Define the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models.
- Hands-on, expert-level experience with Databricks OR Snowflake (certifications or experience with both is a huge plus). - Expert-level experience building and managing data solutions on AWS. - Deep expertise in designing and architecting scalable data platforms.
- Experience with GenAI, AI/ML frameworks, and MLOps. - Certifications in Databricks, Snowflake, or AWS. Why You'll Love It Here
- Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on AWS, not just maintain them. - Define the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models. - Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and mentor junior engineers.
- Deep, expert-level proficiency with SQL. - Hands-on, expert-level experience with Databricks OR Snowflake (certifications or experience with both is a huge plus). - Expert-level experience building and managing data solutions on AWS.
Job description
Who We're Looking For
Megazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture. You are a "builder" at heart, a seasoned expert who thrives on solving complex problems. You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor others. You have deep expertise in data architecture, data wrangling, Databricks or Snowflake, and are a master of Python, SQL, and AWS.
What You'll Do
Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on AWS, not just maintain them.
Define the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models.
Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and mentor junior engineers.
Collaborate and multiply: Act as a key "force multiplier" within our cross-functional teams, leading ambiguous projects from conception to delivery.
Be a flexible leader: Embrace a "builder" mentality. In a startup, you'll have the flexibility to solve diverse challenges, and your voice will be critical in shaping our technical roadmap.
What You Bring (Requirements)
5-8+ years of professional data engineering experience.
Deep, expert-level proficiency with Python.
Deep, expert-level proficiency with SQL.
Hands-on, expert-level experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
Expert-level experience building and managing data solutions on AWS.
Deep expertise in designing and architecting scalable data platforms.
Proven ability to lead complex, ambiguous projects from conception to delivery.
Experience mentoring other engineers and helping to level up the team.
A "builder" mindset, a startup mentality, and a genuine thirst for knowledge.
Exceptional communication skills and the flexibility to think fast.
Bonus Points (Nice-to-Haves)
Experience with GenAI, AI/ML frameworks, and MLOps.
Certifications in Databricks, Snowflake, or AWS.
Why You'll Love It Here
Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.
True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.
We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Rochester, New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 23, 2026
- Recorded sightings
- 26
- Last seen by us
- Sep 25, 2026
- Employer says posted
- Jul 21, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.