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Sr Aws Data Engineer Aws Devops

  • Sr Aws Data Engineer Aws Devops job type Posted on: Nov 13, 2026
  • Sr Aws Data Engineer Aws Devops experience level Akaasa Technologies
  • Sr Aws Data Engineer Aws Devops employment type Chicago, Illinois
  • Sr Aws Data Engineer Aws Devops employment type Onsite
  • Sr Aws Data Engineer Aws Devops salary Full-time

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Job Title :

Sr Aws Data Engineer Aws Devops

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Sr. AWS Data Engineer / AWS DevOps Engineer

Location: Chicago, IL Hybrid 3 4 days onsite per week

Duration: 6 months
Interview Process: Video Interview followed by an Onsite Interview

Note:

  • Only local candidates residing within a 30-mile radius of Chicago, IL 60601 will be considered.
  • Recent or recent second project must be local.
  • LinkedIn with location and photo (before 2022)

Job Description

We are seeking an experienced AWS Data Engineer with strong expertise in AWS Cloud, DevOps, Terraform, and Python to support our client's data engineering and cloud infrastructure initiatives at United Airlines.

The ideal candidate will have hands-on experience designing, developing, deploying, and maintaining scalable cloud-based data solutions. This individual should possess a strong understanding of AWS services, Infrastructure as Code (IaC), CI/CD automation, and modern DevOps practices.

The candidate will work closely with engineering, data, and product teams to build and maintain reliable, scalable, and high-performance data infrastructure.

Required

  • Strong hands-on experience with AWS Cloud Services.
  • Extensive knowledge of DevOps practices and methodologies.
  • Strong experience with Terraform and Infrastructure as Code (IaC).
  • Proficiency in Python scripting and development.
  • Experience building and managing CI/CD pipelines.
  • Knowledge of cloud infrastructure automation and deployment processes.
  • Understanding of scalable data pipelines and cloud-based data engineering solutions.

Skills

  • Experience with AWS services such as S3, Glue, Redshift, Athena, and Kinesis.
  • Experience with Docker and Kubernetes.
  • Knowledge of Ansible and automation playbooks.
  • Experience with Blue-Green deployments.
  • Familiarity with Apache Spark and PySpark.
  • Experience supporting large-scale distributed data environments.

Jobcon Logo Position Details

Posted:

Nov 13, 2026

Reference Number:

34536-20508

Employment:

Full-time

City:

Chicago

Job Origin:

CIEPAL_ORGANIC_FEED

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Sr. AWS Data Engineer / AWS DevOps Engineer

Location: Chicago, IL Hybrid 3 4 days onsite per week

Duration: 6 months
Interview Process: Video Interview followed by an Onsite Interview

Note:

  • Only local candidates residing within a 30-mile radius of Chicago, IL 60601 will be considered.
  • Recent or recent second project must be local.
  • LinkedIn with location and photo (before 2022)

Job Description

We are seeking an experienced AWS Data Engineer with strong expertise in AWS Cloud, DevOps, Terraform, and Python to support our client's data engineering and cloud infrastructure initiatives at United Airlines.

The ideal candidate will have hands-on experience designing, developing, deploying, and maintaining scalable cloud-based data solutions. This individual should possess a strong understanding of AWS services, Infrastructure as Code (IaC), CI/CD automation, and modern DevOps practices.

The candidate will work closely with engineering, data, and product teams to build and maintain reliable, scalable, and high-performance data infrastructure.

Required

  • Strong hands-on experience with AWS Cloud Services.
  • Extensive knowledge of DevOps practices and methodologies.
  • Strong experience with Terraform and Infrastructure as Code (IaC).
  • Proficiency in Python scripting and development.
  • Experience building and managing CI/CD pipelines.
  • Knowledge of cloud infrastructure automation and deployment processes.
  • Understanding of scalable data pipelines and cloud-based data engineering solutions.

Skills

  • Experience with AWS services such as S3, Glue, Redshift, Athena, and Kinesis.
  • Experience with Docker and Kubernetes.
  • Knowledge of Ansible and automation playbooks.
  • Experience with Blue-Green deployments.
  • Familiarity with Apache Spark and PySpark.
  • Experience supporting large-scale distributed data environments.

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