Austin, TX

Developer Jobs in Austin, TX

25 jobs found

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Today

Data Engineer

Aristocrat Austin, TX

Austin, TX

Today

$91k - $169k/yr Full time Big Data Data Analytics Data Architecture

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Job Description

Benefits

Health, dental, and vision insurance
Paid time off
401(k) plan with employer matching
Salary: USD 91,000 - 169,000 per year

Location: Austin, TX (onsite) • Compensation: USD 91,000 to 169,000 annually

Why Aristocrat?

Aristocrat is a global leader in gaming content and technology, delivering strong performance for B2B partners while bringing enjoyment to players of casino and mobile games. The company emphasizes responsible gameplay, strong governance, employee wellbeing, and sustainable practices. The organization supports a diverse workforce and offers broad opportunities to grow across borders.

World Leader in Gaming Entertainment
Robust benefits package
Global career opportunities

Our Values

All about the Player
Talent Unleashed
Collective Brilliance
Good Business Good Citizen

Responsibilities

Design and sustain scalable data pipelines that pull data from casino source systems, apply transformations, and produce analytics-ready datasets for analytics and downstream apps.
Develop reliable production code in Python and Node.js to meet reliability, performance, and maintainability standards.
Create and maintain data models that reflect business domains and support analytics use cases.
Leverage ETL orchestration platforms to schedule, monitor, and manage production data workflows.
Tune queries and processing logic to efficiently handle large volumes of transactional data.
Maintain data integrity across pipelines through validation, testing, and observability practices.
Investigate data quality issues, resolve pipeline failures, and address performance bottlenecks.
Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver solutions that meet them.
Document pipelines, data models, and technical decisions to support knowledge sharing and maintainability.

Requirements

At least four years of professional experience in data engineering or a closely related field.
Strong SQL skills and hands-on experience with data modeling for analytics or reporting use cases.
Proficiency in Python and Node.js for data processing and pipeline development.
Experience with ETL orchestration platforms to develop, schedule, and manage production data workflows.
Solid understanding of ETL and ELT patterns and the trade-offs when building data pipelines at scale.
Familiarity with Linux environments for deployment and operational tasks.
Ability to work independently on well-defined problems and make sound technical decisions without close supervision.
Strong attention to detail and commitment to data quality and reliability.
Effective communicator who can explain technical decisions and data concepts to non-technical collaborators.
Experience with graph databases such as Neo4j is a plus but not required.

Technologies

Python
Node.js
SQL
Neo4j
Linux
ETL orchestration platforms

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3d ago

Software Engineer

InCommodities US Austin, TX

Austin, TX

3d ago

$160k+/yr Full time Backend Developer Python .NET Core

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Job Description

InCommodities US offers a hybrid work arrangement in Austin, TX with a competitive annual salary of USD 160,000. This role centers on designing and deploying production‑ready agentic AI systems for energy trading, collaborating with traders, quants, and engineers to turn market ideas into testable strategies. A supportive culture, flexible hours, and a strong benefits package help you grow as you ship impactful AI in a fast-paced environment.

Responsibilities

Design and deploy agentic AI systems that operate reliably in production.
Build workflows where AI agents manage context, call tools, and make decisions across complex tasks.
Develop context management and retrieval pipelines to ensure models access the right data at the right time.
Coordinate multi-step workflows from code generation and backtesting to execution integration.
Integrate AI systems with internal APIs, market data feeds, and quantitative tooling.
Establish production readiness with robust testing, monitoring, and error handling.
Collaborate closely with traders, quants, and engineers to turn market ideas into testable strategies.

Requirements

Proven track record shipping AI systems to production, not just prototypes.
Experience with agent-based systems involving tool calls, orchestration, or multi-step reasoning.
Background with retrieval-augmented generation linked to real data pipelines.
Understanding of context management, system-level prompt design, and model integration patterns.
Ability to write clean, maintainable code that others can build on.
Comfort working across languages and systems, including Python and .NET.
Fluent English, both written and spoken.

Technologies

Primary technologies include Python and .NET.

Benefits

Flexible hours and a hybrid work schedule.
Medical, dental, and vision coverage, short-term and long-term disability, life insurance, with employer contributions.
401(k) plan with employer matching.
Parental leave with paid and unpaid options.
Generous paid time off and paid holidays.
Monthly DoorDash allowance and office snacks and drinks.
Internet and optional cellphone reimbursement.
Access to an on-site gym and related wellness amenities.
Additional protections including AD&D, flexible scheduling, and bereavement leave.
Relocation assistance where applicable.
Retirement plans and health savings accounts.
Vision and dental insurance options.
Work from home arrangements supported where appropriate.

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4d ago

Artificial Intelligence/Machine Learning Engineer

PROLIM Corporation Austin, TX

Austin, TX

4d ago

$55 - $60/hr Contract Artificial Intelligence Machine Learning Engineer

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Job Description

PROLIM Corporation is seeking an experienced AI/ML Engineer to support enterprise level AI initiatives. The role emphasizes developing AI solutions, enhancing information retrieval through enterprise search, deploying AI agents, managing AI inventory, and establishing governance aligned with cybersecurity and privacy standards. This is a contract position based in Austin, TX with a hybrid work arrangement, offering an hourly rate of USD 55 to 60 and requiring at least one year of relevant experience.

Responsibilities

Design and deploy components of enterprise search to improve information discovery and retrieval
Support the configuration, rollout, and documentation of AI inventory management systems
Assist in the development, testing, and deployment of AI agents that meet business unit requirements
Create technical controls, documentation, and processes to enable AI governance adoption
Collaborate with technical teams and business stakeholders to implement AI driven solutions
Assist with integration, testing, monitoring, and operationalization of AI models
Support the establishment of AI governance frameworks, standards, and compliance processes
Document AI workflows, configurations, and implementation procedures
Analyze business needs and translate them into AI/ML technical solutions
Support troubleshooting and continuous improvement of AI systems and applications

Requirements

At least one year of experience building and deploying enterprise search components
At least one year configuring, implementing, and documenting AI inventory systems
At least one year supporting the implementation and testing of AI agents
At least one year developing technical controls, documentation, and processes for AI governance adoption
Experience with AI and ML concepts, tools, and implementation practices
Experience supporting enterprise AI initiatives and technology transformation projects
Knowledge of AI governance, cybersecurity, privacy, and compliance requirements
Experience documenting AI solutions and developing technical processes
Ability to collaborate with cross functional teams to deliver AI driven solutions
Strong analytical, problem solving, and technical communication skills

Benefits

Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Preferred Qualifications

Experience supporting government or public sector AI initiatives
Experience implementing enterprise search platforms
Experience working with AI inventory, monitoring, and governance platforms
Experience developing AI agents and automation solutions
Experience supporting large-scale enterprise technology environments

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6d ago

Data Engineer II

Amazon.com Services LLC Austin, TX

Austin, TX

6d ago

$132k - $179k/yr Full time Analytics AWS Big Data

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Job Description

The Data Engineer II role is based onsite in Austin, Texas, within Amazon.com Services LLC. It focuses on designing scalable ETL/ELT pipelines and AI-ready data infrastructure to power AI-driven operational insights across Amazon's global fulfillment and maintenance networks. This individual contributor position emphasizes delivering robust data products and practices that enable automated reporting, diagnostics, and analytics across worldwide operations. Compensation ranges from USD 132,100 to 178,800 per year.

Responsibilities

Design, build, and maintain production-grade ETL/ELT pipelines and scalable data infrastructure supporting OTS operational intelligence.
Create feature engineering workflows and ML-ready data pipelines to support data science experimentation and production model serving.
Contribute to data governance and quality standards across analytical and ML data products.
Support the implementation of GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.
Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Requirements

3+ years of data engineering experience
3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL
Experience with data modeling, warehousing, and building ETL pipelines
Experience working on and delivering end-to-end projects independently

Technologies

SQL
C++
C#
Java
Python
Golang
PowerShell
Ruby
Kafka
Kinesis
Flink
Storm
Beam

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

Preferred Qualifications

Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam

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7d ago

Senior AWS Redshift Data Engineer (Contract | 1099)

Braintrust Austin, TX

Austin, TX

7d ago

$140 - $173/hr Contract Amazon Web Services Analytics Cloud

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Job Description

Location: Austin, TX (onsite) • Salary: USD 140 - 173 per hour • Contract: 1099 through year-end • Experience required: 7+ years

Responsibilities

Optimize and maintain large-scale AWS Redshift clusters and data warehouse performance.
Improve and support ETL pipelines using Kafka and ECS jobs.
Enhance BI performance and data availability for reporting tools such as Looker.
Prepare and expose data for AI-enabled applications and MCPs.
Collaborate closely with the data engineering and BI teams.

Requirements

7–10 years of experience in data engineering, database administration, or related roles.
Must be based in the United States.
Extensive experience optimizing AWS Redshift clusters, including environments with hundreds of terabytes of data.
Strong experience tuning, repairing, and maintaining heavily queried and frequently updated Redshift tables.
Experience configuring and managing Kafka streams.
Experience with Looker or a similar BI platform.
Familiarity with Python and/or AI-enabled data workflows is a strong plus.

Technologies

AWS Redshift
Kafka
Amazon ECS
Looker
Python

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8d ago

Staff Software Engineer - Mobile Applications

Home Depot / THD Austin, TX 🇺🇸 Remote

Austin, TX

8d ago

$90k - $180k/yr Full time Senior APIs Engineering

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Job Description

The Staff Software Engineer for Mobile Applications leads the technical architecture of Home Depot's mobile shopping experience, guiding architecture discussions, mentoring engineers, and partnering with Product Management, the Engineering Manager, and the Principal Engineer to design, deliver, and evolve scalable mobile applications.

Responsibilities

Delivery and Execution Develops, tests, deploys, and maintains software with a clear view of the value delivered; approaches issues with a broad, global perspective and consistently achieves results under challenging conditions; builds test suites to enable rapid production deployments and pursues new opportunities with urgency and energy.
Learns and Grows Actively seeks growth through formal and informal development channels, and learns from both successful and unsuccessful experiments when tackling new problems.
Plans and Aligns Proposes improved approaches to help the organization succeed; communicates across audiences to reflect their unique needs; collaborates with the Product Team to ensure user stories are developer-ready, clear, and testable; participates in Agile processes and adapts to shifting demands in real time.
Supports and Enables Field questions from product and engineering teams; mentors junior engineers by sharing guidance on modern software development frameworks and leading technical discussions; identifies gaps and suggests changes to boost team productivity.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Technologies

React Native
Kotlin Multiplatform (KMP)
Flutter
WebView-based solutions
RESTful APIs
GraphQL APIs

Direct Manager and Direct Reports

This position typically reports to Software Engineer Manager or Senior Manager and usually has 0 direct reports.

Travel Requirements

No travel is required for this role.

Physical Requirements

Most of the time is spent seated in a comfortable position with frequent opportunities to move.
On rare occasions there may be a need to move or lift light articles.

Working Conditions

Located in a comfortable indoor environment. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Preferred Qualifications

8+ years of software engineering experience with a proven track record of architecting and delivering large-scale, customer-facing mobile applications.
Ability to lead the technical direction of complex, cross-team initiatives, including architecture design, technical strategy, legacy modernization, and system refactoring.
Experience navigating ambiguous technical challenges, evaluating tradeoffs, identifying risks, and delivering scalable, maintainable solutions from concept through production.
Deep expertise in native mobile development with strong knowledge of architecture, design patterns, performance optimization, networking, security, and engineering best practices.
Experience with modern cross-platform technologies and architectures such as React Native, Kotlin Multiplatform, Flutter, and WebView-based solutions.
Experience designing, consuming, or influencing RESTful or GraphQL APIs with a solid understanding of client-server architecture and backend integration.
Strong understanding of software quality and developer productivity practices, including CI/CD, automated testing, release management, observability, and operational excellence.
Commitment to improving engineering velocity through automation, reusable frameworks, tooling, and continuous process improvement.
Proven ability to collaborate effectively with Product, UX, Backend, QA, SRE, and other engineering teams to deliver end-to-end customer experiences.
Demonstrated ability to influence technical decisions beyond direct ownership and to drive engineering initiatives without formal authority.
Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Proven mentoring experience, developing technical leaders, and raising engineering standards through architecture reviews, code reviews, guidance, and knowledge sharing.
Commitment to fostering a culture of technical excellence, collaboration, continuous learning, and pragmatic decision-making.

Preferred Education

No additional education.

Minimum Years of Work Experience

Preferred Years of Work Experience

No additional years of experience.

Minimum Leadership Experience

None

Preferred Leadership Experience

None

Certifications

None

Competencies

Global Perspective
Manages Ambiguity
Nimble Learning
Self-Development
Collaborates
Cultivates Innovation
Situational Adaptability
Communicates Effectively
Drives Results
Interpersonal Savvy

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10d ago

Data Engineer II, OIS/CXI Analytics, Ops Tech Solution Network Dev

Amazon.com Services LLC Austin, TX

Austin, TX

10d ago

Full time Analytics Cxi Data

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Job Description

Amazon.com Services LLC is seeking a Data Engineer II to join the OIS/CXI Analytics team, based onsite in Austin, Texas. The role centers on building scalable data pipelines and ML-ready data infrastructure to power OpsTech operations and GenAI initiatives.

Responsibilities

Architect and maintain production-grade ETL/ELT pipelines and scalable big data infrastructure that underpins OTS operational intelligence.
Develop feature engineering workflows and ML-ready data pipelines to enable data science experimentation and production model serving.
Contribute to data governance and data quality standards across analytical and ML data products.
Support the implementation of GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Create and sustain semantic layers and dashboard data models that support global operations decision-making.
Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to align priorities with OTS business goals.
Adhere to and contribute to data engineering best practices, including code reviews, testing, monitoring, and documentation.

Requirements

3+ years of data engineering experience.
1+ years developing and operating large-scale BI data structures using ETL/ELT processes.
1+ years developing and operating large-scale BI data structures with OLAP technologies.
1+ years developing and operating large-scale BI data structures using data modeling.
1+ years developing and operating large-scale BI data structures using SQL.
1+ years developing and operating large-scale BI data structures using Oracle.
Experience with data modeling, data warehousing, and building ETL pipelines.
Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or an equivalent field.