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Trainee Databricks Data Engineer Jobs in Rochester, NY

Sr. Solutions Architect AI

Rochester, NY · On-site

$170K - $195K/yr

Design reference architectures on Databricks covering data pipelines, feature stores, model ... Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force ...

Cloud Engineer- Infrastructure

Rochester, NY · On-site

$55 - $73.50/hr

The Cloud Engineer will design, build, and support these environments using best practices in ... data-platform services and AI/ML tooling. Company : AWS, DataBricks, Snowflake and GCP Partner of ...

Apply responsible AI and data governance principles throughout solution development and deployment ... Databricks, SageMaker, Vertex AI, or similar technologies preferred. * Experience building and ...

Carrier Voice Engineer

Victor, NY · On-site

$75K - $95K/yr

Analyze telecom data from CDRs, SIP logs, SBC telemetry, routing systems, firewalls, DNS, SIEM ... MySQL, Snowflake, Databricks, Elasticsearch, or OpenSearch. * Familiarity with OSS/BSS ...

Partner with data engineering and IT teams to ensure solutions are scalable, maintainable, and meet ... Hands-on experience with modern AI platforms (Azure ML, Databricks, OpenAI, AWS, etc.). * Proven ...

New

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

... of DevSecOps, SRE, and FinOps principles. • Experience architecting data platforms and ... AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application ...

Showing results 21-40

Trainee Databricks Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for trainee databricks data engineer in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Rochester, NY?

The most popular types of Databricks Data Engineer jobs in Rochester, NY are:

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For Trainee Databricks Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:

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Cities near Rochester, NY with the most Trainee Databricks Data Engineer job openings:

Sr. Solutions Architect AI

MegazoneCloud Global

Rochester, NY • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
MegazoneCloud Global is seeking a Sr. Solutions Architect AI to lead their AI practice and serve as a technical authority for clients. The role involves architecting enterprise-scale AI/ML platforms, guiding technical teams, and ensuring best practices in AI governance and design.
Responsibilities:
• Lead Technical Strategy & Design: Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks.
• Be the Client-Facing Expert: Lead discovery workshops to surface high-impact use cases, translate complex business requirements into architectural roadmaps, and present ROI models to executive stakeholders.
• Architect the Future: Design reference architectures on Databricks covering data pipelines, feature stores, model training, vector databases, and real-time inference.
• Own the Ecosystem: Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.
• Set the Standard: Define best practices for responsible AI, data quality, and security, serving as the final point of escalation for complex technical challenges.
• Mentor and Multiply: Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force multiplier" through technical guidance and design reviews.
• Market Leadership: Represent Megazone Cloud at industry conferences, publish white papers, and position the firm as a premier leader in applied-AI innovation.
Qualifications:
Required:
• 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.
• Deep, hands-on expertise with the Databricks stack and a proven track record of integrating Databricks into complex client environments.
• 2+ years of progressive experience in cloud architecture or solutions engineering across AWS, Azure, or GCP.
• Proven ability to build, manage, and mentor technical teams while managing multi-faceted projects.
• Exceptional skills in presenting to executive audiences and translating business needs into technical designs.
• Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s or PhD preferred).
• A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge.
Preferred:
• Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer).
• Experience in a Professional Services or consulting environment.
Company:
MegazoneCloud stands as Asia's leading cloud managed service provider (MSP) and digital transformation catalyst, revolutionizing how enterprises harness cloud technology. Founded in 1998, the company is headquartered in Gwacheon-si, Gyeonggi-do, KR, , with a team of 1001-5000 employees. The company is currently Late Stage.