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Contract Databricks Data Engineer Jobs in Rhode Island

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Contract Databricks Data Engineer information

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Rhode Island?

The most popular types of Databricks Data Engineer jobs in Rhode Island are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Rhode Island?

For Contract Databricks Data Engineer jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Rhode Island look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Rhode Island are:

What cities in Rhode Island are hiring for Contract Databricks Data Engineer jobs?

Cities in Rhode Island with the most Contract Databricks Data Engineer job openings:

Cloud ThoughtSpot Senior Developer

Long Finch Technologies

North Providence, RI

Full-time

Posted 3 days ago

New


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.