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Sr Azure Data Engineer Jobs in Connecticut (NOW HIRING)

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer ...

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 ...

The Senior Data Engineeris responsible fordesigning, building, andmaintainingthedata pipelines ... AWS Glue, Azure Data Factory, GCP Dataflow Proficiencywith version control (Git), CI/CD pipelines ...

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

... a Senior Data Engineer to design, build, and optimize scalable data pipelines and warehouse ... Hands-on with orchestration tools such as Apache Airflow , Databricks Workflows , or Azure Data ...

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... AWS, Azure, google cloud) * 6+ years of working in an object-oriented language: Java or Scala and ...

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD ... Experience working with cloud-based data solutions (AWS, Azure, or GCP). * Strong problem-solving ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

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Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are the key skills and qualifications needed to thrive as a Sr Azure Data Engineer?

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

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

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

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

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

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

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

Infographic showing various Sr Azure Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

$115K - $138K/yr

Contractor

Re-posted 10 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.