Data Engineer
Rochester, NY · On-site
$113K - $135K/yr
Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...
Data Engineer
Rochester, NY · On-site
$113K - $135K/yr
Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...
Data Engineer
Rochester, NY · On-site
$113K - $135K/yr
Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...
Data Engineer
Rochester, NY · On-site
$113K - $135K/yr
Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...
Data Engineer
Rochester, NY · On-site
$110K - $140K/yr
Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... from intern to executive. What You Bring (Requirements) * 3-5+ years of professional data ...
Data Engineer
Rochester, NY · On-site
$110K - $140K/yr
Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... from intern to executive. What You Bring (Requirements) * 3-5+ years of professional data ...
Intern Databricks Developer information
See Rochester, NY salary details
$11.38 - $13.89
3% of jobs
$13.89 - $16.39
14% of jobs
$17.72 is the 25th percentile. Wages below this are outliers.
$16.39 - $18.89
16% of jobs
The median wage is $20.14 / hr.
$18.89 - $21.39
35% of jobs
$22.98 is the 75th percentile. Wages above this are outliers.
$21.39 - $23.89
11% of jobs
$23.89 - $26.39
9% of jobs
$26.39 - $28.89
4% of jobs
$28.89 - $31.39
0% of jobs
$31.39 - $33.90
4% of jobs
$33.90 - $36.40
0% of jobs
$36.40 - $38.90
3% of jobs
$11
$22
$38
How much do intern databricks developer jobs pay per hour?
As of Aug 2, 2026, the average hourly pay for intern databricks developer in Rochester, NY is $22.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $23.94 per hour, depending on experience, location, and employer.
How much do Databricks interns get paid?
Databricks interns, including those in developer roles, typically receive hourly wages or stipends that can range from $20 to $40 per hour, depending on location, experience, and the specific internship program. Compensation often includes opportunities to work with cloud-based tools and data platforms, and may vary by year and program structure.
Does Databricks hire interns?
Yes, Databricks offers internship programs, including roles for aspiring Databricks Developers. Internships typically focus on data engineering, software development, and cloud technologies, providing hands-on experience with tools like Apache Spark and Databricks platform. These programs are usually available to students or recent graduates and may require relevant technical skills and coursework.
Is Databricks a high paying job?
Intern Databricks Developer roles are typically entry-level positions with lower salaries compared to full-time data engineering or data science roles. However, salaries for Databricks-related positions can increase significantly with experience, skills in Spark, cloud platforms, and certifications. Overall, full-time roles involving Databricks tend to offer competitive compensation within the data technology industry.
Is Databricks hiring entry level positions?
Databricks offers entry-level positions such as Intern Databricks Developer roles for candidates with relevant skills in Spark, cloud platforms, and programming. These roles typically require some technical knowledge and may be suitable for recent graduates or those starting their careers in data engineering or software development.
What is the difference between Intern Databricks Developer vs Intern Data Engineer?
| Aspect | Intern Databricks Developer | Intern Data Engineer |
|---|---|---|
| Primary Focus | Developing and optimizing data processing using Databricks platform | Building and maintaining data pipelines and infrastructure |
| Skills & Certifications | Knowledge of Spark, Databricks, SQL, Python; basic cloud certifications | Knowledge of ETL, SQL, cloud platforms, scripting; similar certifications |
| Work Environment | Collaborates with data science and analytics teams on Databricks platform | Works with data engineering teams on data pipelines and storage |
While both roles involve working with data and cloud platforms, the Intern Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas the Intern Data Engineer concentrates on building and maintaining data infrastructure and pipelines across various platforms. Both roles require similar technical skills and certifications, but their day-to-day tasks and focus areas differ.
What are popular job titles related to Intern Databricks Developer jobs in Rochester, NY? For Intern Databricks Developer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Intern Databricks Developer jobs in Rochester, NY look for? The top searched job categories for Intern Databricks Developer jobs in Rochester, NY are:
- Digital Media Intern Summer
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- Creative Art Director Intern
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What cities near Rochester, NY are hiring for Intern Databricks Developer jobs? Cities near Rochester, NY with the most Intern Databricks Developer job openings:
$113K - $135K/yr
Full-time
Re-posted 24 days ago
Job description
Job Summary:
MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves designing, building, and maintaining data pipelines and infrastructure on AWS, while collaborating with cross-functional teams to tackle complex data challenges.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
• Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
• Solid experience building and managing data solutions on AWS.
• Proven experience in data wrangling and building robust data pipelines.
• A 'builder' mindset, a startup mentality, and a genuine thirst for knowledge.
• Exceptional communication skills and the flexibility to think fast.
• A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Preferred:
• Experience with GenAI, AI/ML frameworks, and MLOps.
• Certifications in Databricks, Snowflake, or AWS.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves designing, building, and maintaining data pipelines and infrastructure on AWS, while collaborating with cross-functional teams to tackle complex data challenges.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
• Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
• Solid experience building and managing data solutions on AWS.
• Proven experience in data wrangling and building robust data pipelines.
• A 'builder' mindset, a startup mentality, and a genuine thirst for knowledge.
• Exceptional communication skills and the flexibility to think fast.
• A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Preferred:
• Experience with GenAI, AI/ML frameworks, and MLOps.
• Certifications in Databricks, Snowflake, or AWS.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.