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Trainee Databricks Data Engineer Jobs in Barrington, RI

Senior Data Scientist

Bridgewater, MA · On-site

$130 - $160/hr

... Databricks, Azure ML, and Apache Spark, as well as strong data visualization for structured ... Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning ...

Showing results 41-60

Trainee Databricks Data Engineer information

See Barrington, RI salary details

$44.3K

$129K

$176.6K

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

As of Aug 22, 2026, the average yearly pay for trainee databricks data engineer in Barrington, RI is $129,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $136,800.00 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 job categories do people searching Trainee Databricks Data Engineer jobs in Barrington, RI look for?

The top searched job categories for Trainee Databricks Data Engineer jobs in Barrington, RI are:

What cities near Barrington, RI are hiring for Trainee Databricks Data Engineer jobs?

Cities near Barrington, RI with the most Trainee Databricks Data Engineer job openings:

Cloud ThoughtSpot Senior Developer

Long Finch Technologies

Glendale, RI • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We are seeking an experienced Senior ThoughtSpot Developer with 8–10 years of experience in Business Intelligence, Analytics, Data Warehousing, and Cloud technologies. The ideal candidate will have strong hands-on experience with ThoughtSpot development and administration, along with expertise in cloud platforms and modern cloud data warehouses.

Required Skills ThoughtSpot
  • 5+ years of hands-on experience with ThoughtSpot development and administration.
  • Strong experience creating Worksheets, Liveboards, Answer Boards, and Search-driven Analytics.
  • Strong understanding of ThoughtSpot data modeling, metadata management, and security.
  • Experience integrating ThoughtSpot with cloud data platforms.
  • Experience with ThoughtSpot performance tuning and query optimization.
  • Ability to develop reusable analytics frameworks and best practices.
Cloud & Data Platforms
  • Hands-on experience with at least one major cloud platform:
    • AWS
    • Azure
    • GCP
  • Experience working with cloud-native data warehouses/data platforms such as:
    • Snowflake
    • BigQuery
    • Amazon Redshift
    • Azure Synapse
    • Databricks
  • Strong understanding of cloud-based data engineering and analytics architectures.
SQL
  • Strong SQL skills for data analysis, transformation, troubleshooting, and query optimization.
  • Experience working with large-scale analytical datasets.
Key Responsibilities
  • Design and develop enterprise analytics solutions using ThoughtSpot.
  • Create and maintain Worksheets, Liveboards, Answer Boards, and ThoughtSpot data models.
  • Integrate ThoughtSpot with cloud data warehouses and data lakes.
  • Gather analytics and reporting requirements from business stakeholders.
  • Perform performance tuning and optimization of ThoughtSpot solutions.
  • Establish reusable frameworks, standards, and best practices for analytics delivery.
  • Ensure security, governance, and compliance standards are followed.
  • Participate in architecture and cloud modernization initiatives.
  • Collaborate with data engineering, cloud, and business teams.
  • Mentor junior developers and provide technical leadership.