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Data Engineer Airflow Jobs in Connecticut (NOW HIRING)

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Experience with Cloud Composer (Apache Airflow) . * Exposure to Java / Spring Boot for future integration or backend services. * Knowledge of CI/CD pipelines for data engineering workflows.

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills ... Preferred Qualifications: • Experience with data pipeline orchestration tools (Airflow, Apache ...

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

Mentor junior engineers and conduct code reviews to uphold engineering best practices * Partner ... Hands-on with orchestration tools such as Apache Airflow , Databricks Workflows , or Azure Data ...

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 with data pipeline orchestration tools (Airflow, Apache Nifi, or similar). * Knowledge ...

Data Engineer

Hartford, CT

$115K - $138K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Familiarity with workflow orchestration tools such as Apache Airflow, Cloud Composer, or similar ...

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Design, build, and maintain Apache Airflow workflows in Google Cloud Composer to orchestrate ... Strong experience in data engineering, data migration, or cloud modernization projects. * Hands-on ...

New

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue ... and Composer (Airflow). * Analyze and map existing Teradata workloads to appropriate GCP ...

Posted today

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue ... and Composer (Airflow). * Analyze and map existing Teradata workloads to appropriate GCP ...

Posted today

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Experience in Automation tools (Autosys, Cron, Airflow, etc.) * Exposure to AWS Services (i.e. S3 ...

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 ... Java or Scala and Python * 3+ years of working experience in Apache Spark, PySpark, Apache Airflow ...

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing ... Hands-on with orchestration tools - Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building 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 ... Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ...

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 ... Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ...

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 ... Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ...

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 ... Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ...

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Data Engineer Airflow information

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
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Infographic showing various Data Engineer Airflow job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

GCP Data Engineer

Interon IT Solutions

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Re-posted 1 hour ago


Job description

Job Title: GCP Data Engineer
Location: Richardson,Texas or Hartford,CT,  (Hybrid / Onsite as required)
Employment Type: Contract (W2)

 

Role Overview

Our client is seeking an experienced GCP Data Engineer to support enterprise data modernization and analytics initiatives. This role focuses on building and maintaining scalable data pipelines on Google Cloud Platform (GCP), with strong emphasis on Python-based development, BigQuery, and data warehouse migration from legacy systems such as SAS and Teradata.

The ideal candidate is a hands-on data engineer with strong problem-solving skills and experience working in large, complex data environments.

Required Skills & Experience

  • Strong hands-on experience with Python for data engineering (core language, data processing, performance tuning).
  • Experience with PySpark for large-scale data transformations.
  • Solid experience with Google Cloud Platform, including:
    • Google Cloud Storage (GCS)
    • BigQuery
  • Strong SQL skills, including complex queries and optimization.
  • Experience with BigQuery Migration Service / SQL Translation.
  • Working knowledge of SAS code and ability to understand legacy data logic.
  • Familiarity with Teradata data warehouses and SQL.
  • Experience supporting enterprise-scale data pipelines in production.

Preferred / Nice-to-Have Skills

  • Experience with Cloud Composer (Apache Airflow).
  • Exposure to Java / Spring Boot for future integration or backend services.
  • Knowledge of CI/CD pipelines for data engineering workflows.
  • Experience working in regulated or large enterprise environments.

Education & Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field preferred.
  • 6+ years of experience in data engineering or cloud data platforms.