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Remote Azure Data Engineer 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.

GenAI Data Engineer

Hartford, CT ยท On-site +1

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Azure Solutions Engineer

Hartford, CT ยท On-site +1

$120K - $150K/yr

Hybrid role-combination of in-office and telework THE ROLE The Azure Solutions Engineer is a senior ... Defines data flow; * Performs related duties as required. Working Supervisor Use * Plans unit ...

Sr. Network Engineer (Remote)

Glastonbury, CT ยท On-site +1

$104K - $142K/yr

Support connectivity into cloud environments (Azure, AWS) including VNETs, routing, ExpressRoute ... Azure Network Engineer Associate * Security+ / CISSP * Fortinet NSE series #LI-MS #LI-REMOTE

You'll join a 100-engineer remote-first team within a larger organization that combines the ... Azure OpenAI, AWS Anthropic, Google Gemini * GitHub, Confluence, Slack What you'll do * Design and ...

You'll join a 100-engineer remote-first team within a larger organization that combines the ... Azure OpenAI, AWS Anthropic, Google Gemini * GitHub, Confluence, Slack What you'll do * Design and ...

You'll join a 100-engineer remote-first team within a larger organization that combines the ... Azure OpenAI, AWS Anthropic, Google Gemini * GitHub, Confluence, Slack What you'll do * Design and ...

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Remote Azure Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do remote azure data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote azure data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Azure Data Engineer jobs in Connecticut? The most popular types of Azure Data Engineer jobs in Connecticut are:
What are popular job titles related to Remote Azure Data Engineer jobs in Connecticut? For Remote Azure Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Engineer jobs in Connecticut look for? The top searched job categories for Remote Azure Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Azure Data Engineer jobs? Cities in Connecticut with the most Remote Azure Data Engineer job openings:
Infographic showing various Remote Azure Data Engineer job openings in Connecticut as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.
Dataiku Engineer

Dataiku Engineer

PROLIM Global Corporation

Stamford, CT โ€ข On-site, Remote

Full-time

Posted 6 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