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Data Engineer

MEGAZONE - Rochester, NY, Rochester, New York, United States, Irvine, CA, Frisco, TX

Posted Jun 9, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Data Engineer Rochester, NY, Rochester, New York, United States, Irvine, CA, Frisco, TX Who We're Looking For Megazone Cloud is looking for a Data Engineer to be a backbone of our data-driven culture. You are a "builder" with a true thirst for knowledge and a startup mentality. You're not afraid to be a "jack of all trades" and you thrive in an environment where you can think fast and see your work directly impact customers. You have a strong background in data wrangling and are an expert in Databricks or Snowflake , with deep skills in Python , SQL , and AWS . What You'll Do - Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS. - Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use. - Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges. - Collaborate and multiply: Work as a "force multiplier" within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects. - Be a flexible builder: Embrace a "builder" mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive. What You Bring (Requirements) - 3-5+ years of professional data engineering experience. - 2-3+ years of hands-on experience with Python . - 2-3+ years of hands-on experience with SQL .

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