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Internship Microsoft Azure Data Engineer Jobs in Connecticut

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

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

Support Azure Data Factory pipelines, data loads, data quality issues, and root cause analysis ... Microsoft Azure experience preferred Bring your Tableau administration, enterprise reporting, and ...

Sr Databricks Data Engineer

Stamford, CT

$122K - $146K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Net Lead Developer - Azure

Farmington, CT · On-site

$58.25 - $72.50/hr

Implementing data storage solutions integrating databases and using Azure data services for ... Knowledge in Azure Devops CICD pipelines * Good in front end technologies like Jquery Javascript ...

Data & Technology Support Support data migration, validation, and automation initiatives using ... Microsoft Office Suite PowerPoint Excel Visio Azure DevOps (preferred) Ability to work ...

... Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL ...

Senior Data Engineer

Westport, CT · On-site +1

$130K - $150K/yr

The Senior Data Engineer is responsible for designing, building, and maintaining the data pipelines ... AWS Glue, Azure Data Factory, GCP Dataflow ▸ Proficiency with version control (Git), CI/CD ...

... Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL ...

AWS Glue, Azure Data Factory, GCP Dataflow Proficiencywith version control (Git), CI/CD pipelines ... Databricks Certified Data Engineer, AWS Data Analytics Specialty At Dynata, we deliver the highest ...

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Internship Microsoft Azure Data Engineer information

What does an internship Microsoft Azure Data Engineer do?

An Internship Microsoft Azure Data Engineer assists in designing, building, and maintaining data solutions on the Microsoft Azure cloud platform. Interns typically work under the supervision of experienced engineers to help manage data pipelines, ensure data quality, and implement data storage solutions. They gain hands-on experience with Azure tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks while learning best practices in cloud data engineering. This role is ideal for students or recent graduates looking to start a career in cloud-based data management.

What are the key skills and qualifications needed to thrive as an internship Microsoft Azure Data Engineer?

To thrive as an Internship Microsoft Azure Data Engineer, you need foundational knowledge in data modeling, SQL, and cloud computing concepts, often supported by coursework in computer science or related fields. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks, as well as pursuing Microsoft Certified: Azure Data Engineer Associate certification, is highly valuable. Strong problem-solving skills, collaboration, and effective communication help interns excel in team environments and adapt quickly to new challenges. These skills and qualifications are essential for supporting data-driven solutions, ensuring project success, and building a solid foundation for a future career in cloud data engineering.

What types of projects and responsibilities can an intern expect as a Microsoft Azure Data Engineer?

As a Microsoft Azure Data Engineer intern, you can expect to work on real-world projects that involve designing, implementing, and maintaining data solutions using Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Typical responsibilities include assisting with data pipeline development, data migration, and data transformation tasks under the guidance of experienced engineers. You will also collaborate closely with data analysts, software developers, and business stakeholders to understand data requirements and ensure solutions meet business needs. This role provides hands-on experience with cloud technologies and exposes you to industry best practices in data engineering within collaborative, agile team environments.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Connecticut?

The most popular types of Microsoft Azure Data Engineer jobs in Connecticut are:

What are popular job titles related to Internship Microsoft Azure Data Engineer jobs in Connecticut?

For Internship Microsoft Azure Data Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Internship Microsoft Azure Data Engineer jobs in Connecticut look for?

The top searched job categories for Internship Microsoft Azure Data Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Internship Microsoft Azure Data Engineer jobs?

Cities in Connecticut with the most Internship Microsoft Azure Data Engineer job openings:

$115K - $138K/yr

Contractor

Re-posted 14 days ago


Job description

Job Description:
We are looking for a skilled Python Data Engineer with hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.
Key Responsibilities:
  • Design and develop scalable and robust data pipelines using PySpark and Python.
  • Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
  • Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
  • Ensure data quality, integrity, and compliance with data governance and security policies.
  • Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
  • Participate in performance tuning, troubleshooting, and optimization of data workflows.
  • Translate business requirements into technical specifications, especially within the insurance industry context.
  • Develop and maintain documentation for data pipelines and architecture.