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Remote Azure Synapse Jobs in Connecticut (NOW HIRING)

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.

Remote Azure Synapse information

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

AspectRemote Azure SynapseData Engineer
Required CredentialsAzure certifications, SQL, data warehousingData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, collaborative, project-focusedOn-premises or cloud, technical, data pipeline development
Industry UsageData analytics, business intelligence, cloud solutionsData infrastructure, ETL processes, data modeling

Remote Azure Synapse specialists focus on implementing and managing data analytics solutions using Azure Synapse Analytics, often working within cloud environments. Data Engineers build and maintain data pipelines and infrastructure, which may involve Azure but also other platforms. While both roles require SQL and cloud knowledge, Azure certifications are common for both. The key difference lies in Azure Synapse's focus on analytics and data integration, whereas Data Engineers have a broader scope in data infrastructure development.

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

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

What cities in Connecticut are hiring for Remote Azure Synapse jobs?

Cities in Connecticut with the most Remote Azure Synapse job openings:

Dataiku Engineer

PROLIM Global Corporation

Stamford, CT • On-site, Remote

Full-time

Re-posted 27 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