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Trainee Databricks Data Engineer Jobs in Rochester, NY

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient ... Works within cloud-based ML platforms (e.g., Databricks) to develop and optimize AI models.

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient ... Works within cloud-based ML platforms (e.g., Databricks) to develop and optimize AI models.

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient ... Works within cloud-based ML platforms (e.g., Databricks) to develop and optimize AI models.

Database Engineer I

Webster, NY · On-site +1

$76K - $120K/yr

Administer modern Data Lakehouse Platforms such as Snowflake, One Lake, and Databricks * Support ... Experience programming with languages such as Java, Javascript and Python. * Ability to ...

New

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 ...

New

Cyber Data Protection Manager

Rochester, NY · Remote

$109K - $148K/yr

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ... M365 security, Databricks, Snowflake) * 3+ years of professional experience developing data ...

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 ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

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Showing results 1-20

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 Jun 17, 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.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Data Engineer can be competitive, as it requires strong skills in Spark, cloud platforms, and data pipeline development. Candidates often need relevant experience, technical certifications, and a solid understanding of big data tools to improve their chances.

Does Databricks hire new grads?

Databricks often hires new graduates for entry-level roles such as Trainee Data Engineer positions. These roles typically require familiarity with cloud platforms, data processing tools, and programming languages like Python or SQL. Candidates should review specific job postings for qualification details and preferred skills.

How much do Databricks data engineers make?

Databricks data engineers typically earn between $90,000 and $140,000 annually, depending on experience, location, and skill level. Professionals with expertise in Spark, cloud platforms, and data pipeline development tend to command higher salaries.

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.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.
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:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Rochester, NY? For Trainee Databricks Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Rochester, NY look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Trainee Databricks Data Engineer jobs? Cities near Rochester, NY with the most Trainee Databricks Data Engineer job openings:

Senior Cloud Architect - Data, AI & GenAI Platforms - AIRLHV

NavitasPartners

Rochester, NY • Hybrid

$40/hr

Other

Posted 22 days ago


Job description

Senior Cloud Architect - Data, AI & GenAI Platforms 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are hiring a Senior Cloud Architect to drive the design and implementation of modern data and AI platforms. This role will enable enterprise adoption of AI/ML and GenAI solutions through scalable cloud architectures. 

Key Responsibilities: 

  • Build and scale cloud-native data and AI platforms  
  • Architect data pipelines and AI/ML integration frameworks  
  • Ensure governance, security, and operational excellence  
  • Collaborate with engineering, analytics, and business teams  

Required Skills: 

  • Strong experience in cloud architecture (AWS, Azure, GCP)  
  • Expertise in large-scale data platform design and implementation  
  • Hands-on experience with cloud-native services  

Nice to Have / Coverage: 

  • Data platforms: Databricks, Snowflake, Azure Synapse, BigQuery  
  • ML/AI Engineering: Python, PyTorch, MLOps pipelines  
  • GenAI: Experience with LangChain, LLM orchestration, agentic AI  
  • AI Governance: Responsible AI, risk, and compliance frameworks  

For more details reach at resumes@navitassols.com.