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Remote Azure Data Factory Jobs in Connecticut (NOW HIRING)

PROLIM Global Corporation

Dataiku Engineer

Stamford, CT · On-site +1

Stamford, CT/Remote Job Type: Long Term Contract Mandatory Skill: Dataiku Engineering experience ... Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.

Dynata

Senior Data Engineer

Westport, CT · On-site +1

$130K - $150K/yr

AWS Glue, Azure Data Factory, GCP Dataflow ▸ Proficiency with version control (Git), CI/CD pipelines, and containerization (Docker/Kubernetes) ▸ Experience with dbt (data build tool) for ...

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT ... Factory pipelines, Dataflows Gen2, and Spark notebooks) to land data from source systems into ...

IQVIA

Associate Director, Data Analytics

Hartford, CT · Remote

Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git, CI/CD ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

New

IQVIA

Sr Software Development Engineer

Greenwich, CT · On-site +1

$137K - $181K/yr

... data management foundation. At Cedar Gate, you'll be part of a collaborative, innovative ... Azure acceptable) * Proven ability to design and build scalable, multi-tenant, high-performance ...

IQVIA

Sr Software Development Engineer

Greenwich, CT · On-site +1

$137K - $181K/yr

... data management foundation. At Cedar Gate, you'll be part of a collaborative, innovative ... Azure acceptable) * Proven ability to design and build scalable, multi-tenant, high-performance ...

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All JobsAzure Data Factory JobsRemote Azure Data Factory JobsRemote Azure Data Factory Jobs in Connecticut

Remote Azure Data Factory information

What is a remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

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

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

What are popular job titles related to Remote Azure Data Factory jobs in Connecticut?

For Remote Azure Data Factory jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Factory jobs in Connecticut look for?

The top searched job categories for Remote Azure Data Factory jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Azure Data Factory jobs?

Cities in Connecticut with the most Remote Azure Data Factory job openings:

Remote Azure Data Factory jobs near you

Dataiku Engineer

PROLIM Global Corporation

Stamford, CT • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

Role Name: Dataiku Engineer
Job Location: Stamford, CT/Remote
Job Type: Long Term Contract
Mandatory Skill: Dataiku Engineering experience
ROLE DESCRIPTION:
  • Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
  • Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
  • Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
  • Ensure solutions align with enterprise data governance, security, and compliance standards.
  • Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
  • Document architectural decisions and promote knowledge sharing across the team

Qualifications:
  • 5+ years in data architecture, engineering, or related roles.
  • Proven experience as a Data Architect in enterprise environments, ideally in financial services.
  • Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
  • Solid understanding of ETL/ELT, data modeling, and SQL.
  • Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
  • Strong knowledge of Python and SQL scripting; experience with API integrations.
  • Ability to evaluate multiple implementation approaches and recommend optimal solutions.
  • Exposure to data visualization and data engineering practices.
Excellent communication skills, with the ability to mentor

Apply