

DevOps Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Engineer on a contract-to-hire basis, hybrid in Newark. Requires 3-5 years of DevOps experience, strong CI/CD skills (Jenkins, Git), and familiarity with AWS, Kubernetes, Terraform, and data platforms like Databricks or Snowflake.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
-
ποΈ - Date discovered
August 29, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Newark, NJ
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π§ - Skills detailed
#GIT #Snowflake #Jenkins #Groovy #Programming #Infrastructure as Code (IaC) #Libraries #Automation #Kubernetes #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Ansible #Databricks #DevSecOps #DevOps #Java #Terraform #Deployment #Python #Scripting #Scala #Cloud #Data Engineering
Role description
Job Requirement β DevOps Engineer
Title: DevOps Engineer
Location: Hybrid (Newark) β2 times per month with flexibility for more.
Type: Contract-to-Hire
Compensation:
Overview
We are seeking a DevOps Engineer to support enterprise-wide CI/CD pipeline adoption and infrastructure automation. This role will focus on building, onboarding, and maintaining shared frameworks and deployment processes across multiple teams and environments (AWS, Databricks, Snowflake, Kubernetes). The engineer will work under senior architects and play a key role in scaling DevOps best practices across the organization.
Key Responsibilities
β’ Design, build, and maintain CI/CD pipelines (Jenkins, Git).
β’ Onboard application teams onto enterprise-wide CI/CD pipelines.
β’ Develop and maintain shared frameworks and libraries to support scalable deployments.
β’ Implement Infrastructure as Code (IaC) using Terraform, Ansible, Helm, and CloudFormation.
β’ Support deployment processes for Databricks and/or Snowflake applications (not as a data engineer, but ensuring pipeline-driven deployments).
β’ Configure and manage Kubernetes deployments using Helm charts.
β’ Ensure secure, automated provisioning and configuration in AWS.
β’ Support event-driven processes with familiarity in Kafka and related architectures.
β’ Collaborate with senior developers and architects to expand adoption of DevOps practices across the enterprise.
Required Skills & Experience
β’ 3β5 years of experience in DevOps engineering or related roles.
β’ Strong experience with CI/CD tools: Jenkins, Git.
β’ Proficiency in scripting/programming languages: Python, Java, Groovy.
β’ Hands-on experience with Infrastructure as Code: Terraform, Ansible, Helm, CloudFormation.
β’ Familiarity with AWS cloud services.
β’ Experience with Kubernetes deployments.
β’ Exposure to event-driven architectures and Kafka.
β’ Experience supporting deployment pipelines for data platforms such as Databricks or Snowflake (one is sufficient).
Nice to Have
β’ Experience managing and scaling shared libraries/frameworks across multiple teams.
β’ Prior work in event-driven enterprise ecosystems.
β’ Ability to contribute to DevSecOps practices.
Ideal Candidate Profile
β’ A mid-level engineer (3β5 years) who can work independently but also grow under senior architect supervision.
β’ Strong problem-solver with the ability to scale processes across multiple teams.
β’ Not necessarily a βcareer architectβ but skilled in automation and framework building.
Job Requirement β DevOps Engineer
Title: DevOps Engineer
Location: Hybrid (Newark) β2 times per month with flexibility for more.
Type: Contract-to-Hire
Compensation:
Overview
We are seeking a DevOps Engineer to support enterprise-wide CI/CD pipeline adoption and infrastructure automation. This role will focus on building, onboarding, and maintaining shared frameworks and deployment processes across multiple teams and environments (AWS, Databricks, Snowflake, Kubernetes). The engineer will work under senior architects and play a key role in scaling DevOps best practices across the organization.
Key Responsibilities
β’ Design, build, and maintain CI/CD pipelines (Jenkins, Git).
β’ Onboard application teams onto enterprise-wide CI/CD pipelines.
β’ Develop and maintain shared frameworks and libraries to support scalable deployments.
β’ Implement Infrastructure as Code (IaC) using Terraform, Ansible, Helm, and CloudFormation.
β’ Support deployment processes for Databricks and/or Snowflake applications (not as a data engineer, but ensuring pipeline-driven deployments).
β’ Configure and manage Kubernetes deployments using Helm charts.
β’ Ensure secure, automated provisioning and configuration in AWS.
β’ Support event-driven processes with familiarity in Kafka and related architectures.
β’ Collaborate with senior developers and architects to expand adoption of DevOps practices across the enterprise.
Required Skills & Experience
β’ 3β5 years of experience in DevOps engineering or related roles.
β’ Strong experience with CI/CD tools: Jenkins, Git.
β’ Proficiency in scripting/programming languages: Python, Java, Groovy.
β’ Hands-on experience with Infrastructure as Code: Terraform, Ansible, Helm, CloudFormation.
β’ Familiarity with AWS cloud services.
β’ Experience with Kubernetes deployments.
β’ Exposure to event-driven architectures and Kafka.
β’ Experience supporting deployment pipelines for data platforms such as Databricks or Snowflake (one is sufficient).
Nice to Have
β’ Experience managing and scaling shared libraries/frameworks across multiple teams.
β’ Prior work in event-driven enterprise ecosystems.
β’ Ability to contribute to DevSecOps practices.
Ideal Candidate Profile
β’ A mid-level engineer (3β5 years) who can work independently but also grow under senior architect supervision.
β’ Strong problem-solver with the ability to scale processes across multiple teams.
β’ Not necessarily a βcareer architectβ but skilled in automation and framework building.