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Trainee Gcp Data Engineer Jobs in Vermont (NOW HIRING)

Azure / AWS / GCP * Data Warehousing * Apache Kafka * Git / GitHub * CI/CD * REST APIs * Terraform * Power BI * Performance Optimization Key Responsibilities * Develop and maintain scalable data ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing ...

... collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and ...

... collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and ...

... collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and ...

... collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and ...

... collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and ...

... collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and ...

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Trainee Gcp Data Engineer information

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

AspectTrainee Gcp Data EngineerJunior Data Engineer
Required CredentialsBasic understanding of GCP, entry-level certificationsSome certifications, practical experience preferred
Work EnvironmentTraining programs, supervised projectsReal-world data projects, team collaboration
Employer & Industry UsageEntry-level roles in tech and data companiesFull-time roles in data engineering teams

The Trainee Gcp Data Engineer is an entry-level position focused on learning GCP data tools, often in a training setting. A Junior Data Engineer typically has some practical experience and works on real data projects. While both roles involve GCP data services, the trainee role emphasizes learning and development, whereas the junior role involves applying skills in a professional environment.

What are the most commonly searched types of Gcp Data Engineer jobs in Vermont?

The most popular types of Gcp Data Engineer jobs in Vermont are:

What are popular job titles related to Trainee Gcp Data Engineer jobs in Vermont?

For Trainee Gcp Data Engineer jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Trainee Gcp Data Engineer jobs in Vermont look for?

The top searched job categories for Trainee Gcp Data Engineer jobs in Vermont are:

What cities in Vermont are hiring for Trainee Gcp Data Engineer jobs?

Cities in Vermont with the most Trainee Gcp Data Engineer job openings:

Infographic showing various Trainee Gcp Data Engineer job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Databricks Engineer

Vultus Inc

Johnson, VT • On-site, Remote

Full-time

Posted 4 days ago


Job description

Databricks Engineer

Experience

3–6 Years

Job Type

Full-Time

Job Location

Hyderabad / Remote / Hybrid

Job Summary

We are looking for an experienced Databricks Engineer to design, develop, and maintain scalable data engineering solutions using Databricks and cloud-based data platforms. The candidate will work on data pipelines, ETL/ELT processes, data transformation, and analytics solutions.

Primary Skills
  • Databricks
  • Apache Spark / PySpark
  • Python
  • SQL
  • Data Engineering
  • ETL / ELT
  • Delta Lake
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Data Pipelines
  • Cloud Data Platforms
Secondary Skills
  • Azure / AWS / GCP
  • Data Warehousing
  • Apache Kafka
  • Git / GitHub
  • CI/CD
  • REST APIs
  • Terraform
  • Power BI
  • Performance Optimization
Key Responsibilities
  • Develop and maintain scalable data pipelines using Databricks and PySpark.
  • Design ETL/ELT workflows for processing large datasets.
  • Build and optimize Delta Lake tables and data processing jobs.
  • Develop data solutions using cloud platforms such as Azure, AWS, or GCP.
  • Integrate data from multiple sources into data lake and data warehouse environments.
  • Optimize Spark jobs and Databricks workloads for performance and cost.
  • Implement data quality, validation, and error-handling processes.
  • Collaborate with data scientists, analysts, and application teams.
  • Implement CI/CD practices for data engineering workflows.
  • Troubleshoot production data pipelines and resolve data-related issues.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 3+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks, PySpark, Python, and SQL.
  • Experience working with cloud data platforms.
  • Good understanding of data modeling, ETL/ELT, and data warehousing concepts.
  • Strong analytical and problem-solving skills.
Preferred Certifications
  • Databricks Certified Data Engineer
  • Microsoft Azure Data Engineer Associate
  • AWS Certified Data Engineer
Salary

Competitive / Based on Experience