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Github Engineer Jobs in Gretna, LA (NOW HIRING)

Software Engineer II

New Orleans, LA · On-site +1

$95K - $105K/yr

Engineer robust streaming architecture using SNS, Kinesis Data Streams, and Kinesis Data Analytics ... Github, SQL, REST APIs, and Jira. * Position allows work from home anywhere in the United States.

Software Engineer II

New Orleans, LA · On-site +1

$95K - $105K/yr

Engineer robust streaming architecture using SNS, Kinesis Data Streams, and Kinesis Data Analytics ... Github, SQL, REST APIs, and Jira. * Position allows work from home anywhere in the United States.

Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker. * Extensive experience ...

... using GitHub Actions - Implementing vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... GitHub Actions, or Jenkins. * 3+ years executing migration or modernization programs to Google ...

AI Solution Architect

New Orleans, LA · On-site +1

$60.50 - $79.75/hr

Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees ...

Github Engineer information

See Gretna, LA salary details

$26.7K

$82.7K

$110K

How much do github engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for github engineer in Gretna, LA is $82,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $100,100.00 per year, depending on experience, location, and employer.

What is a GitHub engineer?

A GitHub Engineer is a software professional who specializes in using GitHub, a popular platform for version control and collaboration, to manage code, streamline development workflows, and support software engineering teams. Their responsibilities often include setting up repositories, managing branches, automating workflows with GitHub Actions, and ensuring code quality through pull requests and code reviews. They may also help teams adopt best practices in source control and integrate GitHub with other tools in the development pipeline. This role requires strong knowledge of Git, continuous integration/continuous deployment (CI/CD), and collaborative software development.

How does a GitHub engineer typically collaborate with development teams to streamline code integration and deployment?

GitHub Engineers work closely with development teams to design and optimize continuous integration and deployment (CI/CD) pipelines, ensuring efficient code reviews, automated testing, and seamless merging of code. They often set best practices for branching strategies, manage repository permissions, and help troubleshoot integration issues. Regular collaboration involves participating in sprint planning, code review sessions, and providing technical guidance on using GitHub features effectively. This role is highly cross-functional, requiring strong communication skills and a proactive approach to supporting developers in maintaining code quality and delivery speed.

What are the key skills and qualifications needed to thrive as a GitHub engineer, and why are they important?

To thrive as a Github Engineer, you need a solid background in software development, version control systems (especially Git), and collaborative coding practices, often supported by a degree in computer science or related field. Familiarity with Github workflows, APIs, CI/CD tools, and scripting languages is typically required, along with certifications like GitHub Certified Developer being advantageous. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating across diverse development teams. These skills ensure seamless code collaboration, efficient project management, and the delivery of high-quality software in dynamic environments.

What are popular job titles related to Github Engineer jobs in Gretna, LA?

For Github Engineer jobs in Gretna, LA, the most frequently searched job titles are:

What job categories do people searching Github Engineer jobs in Gretna, LA look for?

The top searched job categories for Github Engineer jobs in Gretna, LA are:

Infographic showing various Github Engineer job openings in Gretna, LA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,657 per year, or $39.7 per hour.

Azure/Databricks Infrastructure Engineer

Deloitte

New Orleans, LA • On-site

$53.50 - $71.50/hr

Full-time

Re-posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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