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Contract Microsoft Azure Data Engineer Jobs in Connecticut

Pwc

Data Engineer - Senior Manager

Hartford, CT

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Manager

Stamford, CT

$124K - $280K/yr

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

Centstone

Power BI Developer

Hartford, CT · On-site

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 ...

Staffingine LLC

Net Lead Developer - Azure

Farmington, CT · On-site

$58.25 - $72.50/hr

Contract * We are seeking an Azure PaaS Architect who is passionate to develop solutions on Azure ... Implementing data storage solutions integrating databases and using Azure data services for ...

Deloitte

Sr Databricks Data Engineer

Stamford, CT · On-site

$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 ...

Pwc

GenAI Python Systems Engineer-Manager

Stamford, CT · On-site

$99K - $232K/yr

... 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 ...

Dynata

Senior Data Engineer

Westport, CT

$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 ...

Pwc

GenAI Python Systems Engineer-Manager

Hartford, CT · On-site

$99K - $232K/yr

... 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 ...

Subway

Data Architect

Shelton, CT · On-site

$64 - $82.25/hr

Experience with cloud platforms (AWS, Azure, or GCP) and native data services. Proficiency with ... engineering feature stores, model serving, and MLOps integration. Familiarity with Microsoft ...

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All JobsContract Microsoft Azure Data Engineer JobsContract Microsoft Azure Data Engineer Jobs in Connecticut

Contract Microsoft Azure Data Engineer information

What is a Contract Microsoft Azure Data Engineer?

Contract Microsoft Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Microsoft Azure cloud services. They are responsible for developing data pipelines, integrating data from multiple sources, and ensuring data is stored securely and efficiently in the cloud. These engineers typically work with technologies like Azure Data Factory, Azure SQL Database, and Azure Databricks to support analytics and business intelligence needs. Their contract status means they may work for specific projects or short-term engagements rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a Contract Microsoft Azure Data Engineer, and why are they important?

To thrive as a Contract Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and proficiency with Azure data services, typically supported by a degree in computer science or a related field. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and relevant Azure certifications (like Azure Data Engineer Associate) are highly valued. Strong problem-solving, communication, and adaptability are essential soft skills for collaborating with stakeholders and addressing evolving project requirements. These skills ensure efficient data solutions, seamless cloud integration, and successful project delivery in dynamic enterprise environments.

What are some common challenges faced by Contract Microsoft Azure Data Engineers when joining new projects?

Contract Microsoft Azure Data Engineers often encounter challenges such as quickly understanding existing data architectures, adapting to varying data governance standards, and integrating with diverse client teams. Since contract roles are typically project-based, engineers must rapidly familiarize themselves with the organization’s Azure environment, security protocols, and workflow tools. Strong communication and a proactive approach to documentation help streamline collaboration with permanent team members, ensuring smooth project delivery despite tight timelines.

What is the difference between Contract Microsoft Azure Data Engineer vs Contract Data Engineer?

AspectContract Microsoft Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentCloud-based, Azure platform-focusedOn-premises or cloud, various platforms
Industry UsageOrganizations using Microsoft AzureOrganizations using diverse data platforms
Job FocusDesigning, building, and maintaining Azure data solutionsDeveloping data pipelines and managing data workflows

The Contract Microsoft Azure Data Engineer primarily focuses on designing and implementing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, a Contract Data Engineer may work across various environments, including on-premises or different cloud providers, with a broader scope of tools and platforms. The Azure Data Engineer role is ideal for those specializing in Microsoft Azure, while the Data Engineer role offers more flexibility across data 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 Contract Microsoft Azure Data Engineer jobs in Connecticut?

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

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

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

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

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

Contract Microsoft Azure Data Engineer jobs near you

Python Data Engineer

Texas State Library and Archives Commision

Hartford, CT • On-site

$115K - $138K/yr

Contractor

Re-posted 16 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.

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