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Gitlab Ci Pass Variables Between Jobs (NOW HIRING)

SOSi

GitLab Administrator

FL · Remote

The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency ... Proficient in CI/CD pipeline configuration, access control management, and code repository best ...

Adyen

Engineering Manager, CI/CD

Chicago, IL · On-site

$180K - $243K/yr

... using GitLab CI, Gradle, KMP, and Develocity. * Strategic Oversight: Define the roadmap for ... Serve as the primary point of contact between mobile developers and infrastructure teams to ensure ...

Saransh Inc

Sr. Cloud Engineer (Azure) - Only W2

Chicago, IL · On-site

$57.50 - $76.75/hr

... Gitlab CI, Ansible, and Terraform. * Partner with application teams on their journey to Public Cloud * Key technical lead and liaison between application teams and enterprise cloud migration ...

JTEC Consulting

DevOps Engineer - REMOTE

San Antonio, TX · Remote

$120K - $130K/yr

Provide Linux administration between DevOps team and Operations support such as web provisioning/OS ... Ability to integrate distinct pipeline workflows (Jenkins, GitLab CI) to maintain continuous ...

SQDM

DevOps Engineer (Terraform Specialist)

Frisco, TX · On-site

$49.50 - $67.75/hr

Create, integrate, and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure ... Strong hands-on experience with Terraform (modules, workspaces, variables, state management)

Mondo

DevSecOps Engineer x2

Manassas, VA

... GitLab CI/CD pipelines and driving the transition from monolithic to modular builds within a cross ... and artifact flow between jobs. • Hands-on software engineering experience with large-scale ...

New

Mondo

DevSecOps Engineer x2

Manassas, VA · On-site

... GitLab CI/CD pipelines and driving the transition from monolithic to modular builds within a cross ... and artifact flow between jobs. • Hands-on software engineering experience with large-scale ...

New

CYNET SYSTEMS

Data Tech Lead with Java

Alpharetta, GA · On-site

$61 - $66/hr

Hands-on experience with GitLab CI/CD pipeline development and deployment automation ... Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and ...

CYNET SYSTEMS

Data Tech Lead with Java

Aliso Viejo, CA · On-site

$61 - $66/hr

Hands-on experience with GitLab CI/CD pipeline development and deployment automation ... Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and ...

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Gitlab Ci Pass Variables Between information

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How much do gitlab ci pass variables between jobs pay per year?

As of Jul 13, 2026, the average yearly pay for gitlab ci pass variables between in the United States is $104,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $124,000.00 per year, depending on experience, location, and employer.

How do you pass variables between jobs in GitLab CI?

In GitLab CI, you can pass variables between jobs by using 'artifacts' or by defining variables in the 'job' or 'pipeline' scope. Artifacts allow you to store files or outputs from one job and make them available to subsequent jobs in later stages. For simple key-value pairs, you can write variables to a file in one job, save the file as an artifact, and then read the file in the next job. Additionally, you can use 'needs' or 'dependencies' to control job execution and variable sharing. This approach helps maintain flexibility and modularity in your CI/CD pipelines.

What are some best practices for securely passing variables between GitLab CI/CD pipeline stages?

When passing variables between GitLab CI/CD pipeline stages, it's important to use GitLab's built-in CI/CD variables and artifacts features. Sensitive values, such as API keys or passwords, should always be stored as protected or masked variables in GitLab's CI/CD settings to prevent exposure in logs. Additionally, avoid echoing secrets in scripts, and use the 'dependencies' and 'artifacts' keywords to pass non-sensitive data between jobs. This approach ensures your pipelines remain secure and maintainable while allowing for flexible data transfer between stages.

What are the key skills and qualifications needed to thrive as a DevOps Engineer working with GitLab CI, and why are they important?

To thrive as a DevOps Engineer specializing in GitLab CI, you need strong knowledge of CI/CD concepts, scripting languages (such as Bash or Python), and experience with version control systems like Git. Proficiency in using GitLab CI/CD pipelines, YAML configuration, environment variables, and integrating with tools like Docker or Kubernetes is essential. Effective problem-solving, attention to detail, and strong collaboration skills help you manage complex build and deployment processes efficiently. These skills are crucial for automating software delivery, ensuring reliable deployments, and fostering continuous integration and collaboration across development teams.

What is the difference between Gitlab Ci Pass Variables Between and Gitlab CI/CD Pipeline Engineer?

FeatureGitlab Ci Pass Variables BetweenGitlab CI/CD Pipeline Engineer
Role FocusManaging CI/CD variables and their transfer between jobsDesigning, implementing, and maintaining CI/CD pipelines
Skills RequiredUnderstanding of GitLab CI/CD variables, scriptingDeep knowledge of pipeline architecture, scripting, automation
Work EnvironmentDevOps teams, CI/CD pipeline setupDevOps teams, pipeline development and optimization

Gitlab Ci Pass Variables Between is a specific task within CI/CD workflows, focusing on passing variables between jobs. In contrast, a Gitlab CI/CD Pipeline Engineer designs and manages entire pipelines. While both roles require knowledge of GitLab CI/CD, the former is more about executing specific tasks, and the latter involves comprehensive pipeline development and maintenance.

What job categories do people searching Gitlab Ci Pass Variables Between jobs look for? The top searched job categories for Gitlab Ci Pass Variables Between jobs are:
Infographic showing various Gitlab Ci Pass Variables Between job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $104,014 per year, or $50 per hour.

Azure Data Tech Lead with Java

UniqueHire Consulting LLC

Alpharetta, GA • On-site

$53.75 - $66.75/hr

Other

Posted 3 days ago

New

Job description

Role: Azure Data Tech Lead with Java

Location: Alpharetta GA (or) Berkley Hills NJ

 

Must Have Skills –

Skill 1 – 5Yrs of Exp – Azure Databricks

Skill 2 – 5Yrs of Exp – SQL

Skill 3 – 5Yrs of Exp – Spark

Skill 4 – 5Yrs of Exp – Java

Skill 5 – 3Yrs of Exp – Python

 

1. Role Overview

•         Experienced Data Technical Lead to design, develop, and support scalable cloud-based data platforms and streaming data pipelines.

•         The ideal candidate should possess strong expertise in Databricks, PySpark, Python, Java-based streaming technologies, GitLab CI/CD pipelines, and cloud migration initiatives.

 

2. Key Responsibilities

•         Design and develop scalable Databricks ETL/ELT pipelines (Lakeflow & LakeBase) using Azure Databricks, PySpark, and Python.

•         Implement real-time and batch data ingestion frameworks using Kafka and Java-based streaming solutions.

•         Develop and optimize data processing workflows in Azure Databricks.

•         Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and cloud platforms.

•         Build reusable frameworks for data ingestion, transformation, validation, and orchestration.

•         Develop SQL-based data transformations, reporting datasets, and performance optimization solutions.

•         Design and implement GitLab CI/CD pipelines for automated deployment, testing, and release management of Databricks notebooks, jobs, and data pipelines.

•         Support Snowflake on-premises to Azure cloud migration initiatives.

•         Ensure coding standards, performance tuning, monitoring, and operational stability of data pipelines.

•         Develop Power BI dashboards and reports for business intelligence and analytics reporting.

•         Develop API automation and integration solutions for data exchange between enterprise systems.

 

3. Required Skills.

•         Strong experience in Python and PySpark development.

•         Hands-on experience with Azure Databricks and Databricks SQL.

•         Experience in Java-based streaming and ingestion frameworks.

•         Strong knowledge of Apache Kafka streaming concepts.

•         Experience working with PostgreSQL databases.

•         Experience with YugabyteDB or Cassandra-based NoSQL databases.

•         Strong SQL development and query optimization skills.

•         Hands-on experience with GitLab CI/CD pipeline development and deployment automation.

•         Understanding cloud-based data engineering and distributed processing concepts.

•         Experience in data migration projects, especially Snowflake on-prem to Azure cloud migration.

•         Experience designing enterprise-scale data lake or lakehouse architectures.

•         Knowledge of streaming architectures and real-time analytics.

•         Familiarity with cloud monitoring and observability tools.

📩 Interested candidates, please connect or share resumes at: .

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