Top 22 Backend python Jobs in Lackland Afb, Tx

Data Engineer
San Antonio Spurs Sports & Entertainment —San Antonio, TX
- Full-time
- Azure
- Computer Science
- System design
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2d
Mid-Level Back End Developer
Titan Technologies —Lackland AFB, TX
- Hybrid work
- Mid-level
- 3 years
- Java
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Senior Back End Developer
Titan Technologies —Lackland AFB, TX
- Hybrid work
- 5 years
- Java
- Master's degree
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.NET Developer with Strong experience in Python and AWS
Robotics Technologies —San Antonio, TX
- Mid-level
- AWS
- US work authorization
Threat Intelligence and Detection Engineer
Insane Cyber —San Antonio, TX
- Full-time
- Remote
- 3 years
- Master's degree
- Analysis skills
- Health insurance
- Dental insurance
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Senior Full Stack Developer
Guidehouse —San Antonio, TX
- $92,000 - $153,000 a year
- 6 years
- Bachelor's degree
- Travel
- Commuter assistance
- Health savings account
11h
Senior Software Developer - Backend
XPEL —San Antonio, TX
- Full-time
- Azure
- Java
- AWS
Senior Technical Lead — R&D Mission Solutions
Rackner —San Antonio, TX
- Remote
- System design
- AWS
- Travel
- Paid holidays
- Disability insurance
Quick Apply
8d
Software Engineer - Full Stack Developer
AnaVation —San Antonio, TX
- Full-time
- Computer Science
- Office
- Master's degree
Quick Apply
1d
Staff Software Integration and Test Engineer
San Antonio, TX
- Computer science
- Computer Science
- 5 years
5d
Manager - GenAI Full Stack Developer
Deloitte —San Antonio, TX
- $151,470 - $218,025 a year
- Full-time
- 6 years
- Management
- Computer Science
8d
Cyber Full-Stack Software Engineer
Deloitte —San Antonio, TX
- $100,400 - $197,900 a year
- Full-time
- Azure
- Computer Science
- Mid-level
Manager, Solution Architect
PRICE WATERHOUSE COOPERS —San Antonio, TX
- $99,000 - $232,000 a year
- 7 years
- Oracle
- Computer Science
- Paid holidays
- Health insurance
Deloitte Cyber Forward Deployed Engineer/Senior Consultant
Deloitte —San Antonio, TX
- $113,100 - $208,300 a year
- Full-time
- Azure
- Computer Science
- AWS
8d
Senior Full Stack Python/JavaScript Developer
Guidehouse Digital, LLC —San Antonio, TX
- $92,000 - $153,000 a year
- Full-time
- Bachelor's degree
- Travel
- Mentoring
- Commuter assistance
- Health savings account
2d
Senior Python/Java Script Full Stack Developer
Guidehouse Digital, LLC —San Antonio, TX
- $92,000 - $153,000 a year
- Full-time
- Bachelor's degree
- Travel
- Mentoring
- Commuter assistance
- Health savings account
2d
Senior Manager, Solution Architect
PRICE WATERHOUSE COOPERS —San Antonio, TX
- $124,000 - $280,000 a year
- 6 years
- Computer Science
- Java
- Paid holidays
- Health insurance
Cyber Forward Deployed Engineer - Manager
Deloitte —San Antonio, TX
- $148,200 - $292,300 a year
- Full-time
- Azure
- Management
- Computer Science
13d
Lead Software Engineer, Platform
Rise Technical Recruitment Limited —United States
- $190,000 - $220,000 a year
- Full-time
- Remote
- AWS
- Mentoring
- Senior level
- 401(k)
- Paid time off
Quick Apply
5d

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Data Engineer

San Antonio Spurs Sports & Entertainment -
San Antonio, TX

Quick Apply

Job Details

Full-time
2 days ago

Qualifications

Performance monitoring
Data integrity assurance
Data model design
Systems integration
Cloud analytics services
Software engineering
Content creation for technical audiences
Data modeling projects
Data validation techniques
Software coding
Data retrieval time improvement
Application deployment
Scalable systems
Schema design
SQL
Database server management
Data integrity and documentation
Data Architecture Design (Architecture design skills)
ETL process automation
Enterprise Integration
Version control systems
SaaS platforms
Software documentation
GitHub
Scalability
Integration with Third-Party Services (system development)
Technical troubleshooting support
Business requirements
Managing cloud database deployments
SaaS

Full Job Description

At Spurs Sports & Entertainment (SS&E), we work in service of something bigger than ourselves.

To us it is so much more than just a game or concert. It takes all the members of our Spurs team to harness the power of sports and entertainment to create moments that excite, memories that endure, and connections that strengthen our community. SS&E owns and operates the San Antonio Spurs (NBA), Austin Spurs (NBA G-League), and the San Antonio FC (USL), and manages day-to-day operations of the Frost Bank Center, Toyota Field and STAR Complex.

We know that our people are our greatest asset as an organization. We aspire to provide our teams with meaningful work, to live our values -Integrity, Success & Caring – day-to-day in what we do and foster an inclusive culture for our 1K+ employee workforce.

We are seeking a highly skilled, future-ready Data Engineer to help build the data platform that powers trusted Business Intelligence today and AI-enabled experiences tomorrow. This role is grounded in strong data engineering fundamentals - scalable pipelines, clean data modeling, reliable integrations, database performance, governance, and data quality - while also advancing the organization's ability to support front-end data products, MCPs, and AI-agent workflows.
The ideal candidate brings deep Python capability, disciplined GitHub-based development, deployment awareness, excellent technical documentation habits, and strong ownership of production-quality data solutions. SS&E is a tech-forward organization that believes in the responsible use of AI, with responsibility and accountability remaining with the individual. This position encourages the responsible use of AI-assisted engineering tools such as OpenAI Codex, Claude Code, or comparable tools under SS&E's enterprise agreements to support development, testing, refactoring, debugging, documentation, and codebase understanding; however, these tools should not be relied upon as a substitute for sound data engineering judgment, clean architecture, secure coding practices, or hands-on technical ownership.

Who You Are:
Minimum Qualifications

Bachelor's or Master's Degree in Computer Science, Engineering, Data Analytics, Information Systems, or a related field.
1-2 years of experience as a Data Engineer, Analytics Engineer, Software Engineer with data focus, or similar technical role building data pipelines, models, and data platforms.
Strong foundation in data engineering fundamentals, including ETL/ELT pipelines, data modeling, relational databases, API integrations, data validation, orchestration concepts, and scalable data architecture.
Expertise in Python, including experience building production-ready scripts, data pipelines, automation workflows, APIs, backend services, or data processing frameworks.
Proficiency in SQL, including SQL-based data modeling, query optimization, transformation logic, and troubleshooting.
Hands-on experience with SQL Server, Azure SQL Managed Instance, Snowflake, or other relational database systems.
Experience extracting, transforming, and integrating data from complex APIs, SaaS platforms, operational systems, and external data sources.
Experience using GitHub for version control, pull requests, code review, branching strategies, release documentation, and collaborative development workflows.
Experience creating and maintaining clear technical documentation for data pipelines, data models, APIs, deployment steps, system dependencies, support procedures, and runbooks.
Knowledge of how data infrastructure supports BI tools, React-based front ends, internal applications, and AI-enabled workflows.
Familiarity with Azure or AWS cloud services used for data storage, compute, integration, deployment, and monitoring, with preference for Azure-based data environments.
Experience developing governed datasets, curated reporting layers, or datasets for Business Intelligence, visualization, and operational analytics use cases.
Strong analytical, troubleshooting, and problem-solving skills with the ability to improve existing systems without disrupting business operations.
Effective communication skills and ability to collaborate with technical and non-technical stakeholders.

Preferred Qualifications:

Experience designing AI-ready data infrastructure, MCPs, governed context layers, or data services that support internal AI agents and automation.
Experience using OpenAI Codex, Claude Code, or comparable AI-assisted engineering tools in GitHub-connected, CLI, IDE, or deployment-adjacent workflows under appropriate enterprise usage standards.
Experience with NoSQL databases.
Experience writing developer-friendly documentation, data dictionaries, architecture notes, and operational support guides.

What You’ll Do:

Design, build, and optimize scalable data pipelines using strong data engineering fundamentals, including ETL/ELT design, data modeling, validation, monitoring, and performance-aware architecture.
Develop production-ready Python scripts, services, automation workflows, and data processing frameworks that are reliable, testable, maintainable, and well documented.
Use GitHub as a core engineering workflow, including version control, branching, pull requests, code reviews, release notes, deployment readiness, and collaborative development standards.
Create and maintain clear technical documentation for pipelines, APIs, MCPs, database objects, data models, deployment steps, dependencies, support procedures, and operational runbooks.
Where appropriate, use approved AI-assisted development workflows responsibly to support coding, debugging, testing, refactoring, documentation, and codebase understanding while maintaining human review, secure development practices, and sound engineering judgment.
Integrate data from internal systems, third-party platforms, APIs, and external partners while ensuring consistency, accessibility, data quality, and fit-for-purpose structures.
Administer and optimize relational databases and cloud data services, including Azure SQL Managed Instance, SQL Server, Snowflake or similar platforms, with responsibility for schema design, tuning, troubleshooting, and lifecycle management.
Develop governed data warehouse, data mart, and semantic-layer assets that support trusted reporting, operational analytics, executive decision-making, and scalable Business Intelligence delivery.
Build AI-ready data infrastructure, including MCP patterns, governed access points, reusable data services, and structured context layers that allow internal tools and agents to interact with enterprise data safely and effectively.
Prepare well-modeled datasets for Power BI, D3, React-based front ends, and other application or visualization experiences so users can access clear, accurate, and actionable insights.
Partner with Business Intelligence, Ticketing, Information Technology, Partnerships, Premium Services, Finance, and other stakeholders to translate business needs into durable technical solutions.
Continuously improve integration, transformation, deployment, documentation, and data preparation processes so SS&E can deliver faster reporting, stronger automation, and future-ready digital experiences.

Physical Requirements

Ability to work at a computer for extended periods of time.
Ability to participate in meetings, presentations, and collaborative work sessions.
Ability to work in an office environment with occasional on-site collaboration.
Ability to travel locally for meetings or organizational events as needed.

In every position, each employee is expected to: demonstrate alignment with SS&E’s core values and mission, collaborate with internal/external community members and demonstrate ongoing development.

If you don’t have experience in every single bullet above, no sweat – we still want to hear from you and encourage you to apply!

SS&E is an Equal Opportunity Employer

Nothing contained in this job description is intended to be a contract of employment, nor does any information contained here represent a guarantee of employment for a specific duration. Your employment with SS&E is “at will", which means that either you or SS&E may terminate the relationship at any time. Essential functions listed above must be performed with or without accommodations.

Quick Apply

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backend python jobs in lackland afb, tx

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