Texas

Data Jobs in Texas

283 jobs found

Include remote jobs

1mo ago

Data Engineer II

Amazon.com Services LLC Austin, TX

Austin, TX

1mo ago Closed

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

This position is no longer accepting applications (closed Aug 19, 2026).

Job Description

Join a global data-focused team in Austin, working onsite on scalable ETL/ELT pipelines and AI-ready data infrastructure that drive automated reporting, diagnostics, and analytics for Amazon’s fulfillment and maintenance networks. This Data Engineer II role offers a competitive yearly salary range of USD 132,100 to 178,800, a comprehensive benefits package, and the opportunity to contribute to data products that inform operations across the world.

Benefits

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

Responsibilities

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

Requirements

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

Technologies

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

Preferred Qualifications

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

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1mo ago

Principal Data Scientist, IT Analytics

American Airlines Fort Worth, TX

Fort Worth, TX

1mo ago Closed

Full time Manager Advanced Analytics Data Analytics

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

This onsite Principal Data Scientist role in Fort Worth, TX leads the OR&AA analytics team within American Airlines IT, delivering advanced analytics capabilities and providing technical leadership across business units.

Responsibilities

Direct the OR&AA teams in designing, validating, and deploying analytical models, tools, and systems that improve customer satisfaction, profitability, and operational reliability.
Offer technical direction and strategic vision for analytics initiatives spanning the OR&AA team and the broader organization.
Lead initiatives to enhance policies, processes, and technology solutions affecting customers and staff.
Identify opportunities for competitive advantage through innovation, applying novel techniques in pioneering applications and measuring impact.
Build trusted relationships with business leaders; collaborate with partners to translate business needs into advanced analytics solutions.
Provide technical mentorship to team members within and beyond OR&AA.
Recognize technical gaps within the OR&AA team and coordinate training to raise the unit’s capabilities.

Requirements

A Master of Science degree in Data Science, ML/AI, Operations Research, Industrial Engineering, Statistics, Computer Science, or a related technical discipline.
At least five years of experience developing ML/AI, operations research, and analytics solutions.
A minimum of three years leading ML/AI, operations research, and analytics projects, formally or informally.
Two or more years of Python experience developing ML/AI, Generative AI, and operations research solutions.
Proven ability to cultivate strong relationships with business partners, IT counterparts, and external groups.
Proficiency in one or more domains such as ML/AI, Generative AI, Data Science, Statistics, Optimization, Simulation, or Forecasting.

Technologies

Python

Benefits

Travel perks
Health benefits
Wellness programs
401(k) program
Additional benefits

Education and Prior Job Experience (Preferred Qualifications)

5+ years of experience implementing large, complex projects.
2+ years building and deploying advanced analytics solutions to support Contact Centers and Digital Customer Experience.
2+ years building and deploying advanced analytics solutions to support Loyalty and Marketing.
2+ years building Large Language Model based solutions.
2+ years building Agentic AI solutions.
2+ years building NLP models.
2+ years building customer engagement and predictive customer analytics models.
2+ years building targeted offers and personalization models.
5+ years of Python experience developing machine learning/AI solutions.
2+ years developing analytical models in a Cloud environment.
2+ years working closely with software engineering teams to implement complex analytics solutions.
2+ years coordinating with privacy and legal teams.

Skills, Licenses & Certifications

Proven ability to cultivate robust relationships with IT counterparts, business partners, and external groups.
Ability to drive results with an aptitude for engaging employees across multiple workgroups.
Capability to prioritize a long list of potential projects within resource constraints.
Ability to thrive in a fast-paced environment and apply best practices.
Strategic thinking with sound judgment and initiative in decision making.
Capacity to manage multiple responsibilities concurrently while collaborating with others.
Excellent analytical, planning and organizational skills.
Experience working with Agile project management methodologies and tools.

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1mo ago

Azure Data Engineer

Infosys Dallas, TX

Dallas, TX

1mo ago Closed

Full time Azure Cloud Cloud Platform

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

Azure Data Engineer position at Infosys in Dallas, TX onsite, handling requirements gathering, design discussions, coding, testing, integration, monitoring, and documentation across the software lifecycle.

Responsibilities

Conduct targeted interviews and workshops to capture user needs, and document stakeholder requirements accurately.
Engage in design discussions to define software specifications and assist with the creation of process documentation.
Build, refine, and document code for new software applications, following detailed designs to meet user requirements.
Execute test plans, analyze results, and report defects to the development team to improve software performance.
Facilitate the integration of new software features within the existing system infrastructure for smooth transitions.
Monitor and troubleshoot live applications, promptly resolving issues and documenting maintenance procedures.
Systematically document coding practices, testing methodologies, and technical solutions to enrich the team's knowledge base.

Your contribution to the team

An agile mindset with effective communication and problem-solving skills.
The ability to work across most areas of the SDLC lifecycle.
Passion for innovating solutions that drive progress and meet future challenges.
A proactive approach to monitoring and resolving production issues before they escalate.
Commitment to continuous learning, knowledge sharing, and fostering team development.

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1mo ago

Senior AWS Redshift Data Engineer (Contract | 1099)

Braintrust Austin, TX

Austin, TX

1mo ago Closed

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

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

Senior AWS Redshift Data Engineer on a full-time 1099 contract through the end of the year, based in Austin, TX, with an hourly rate of USD 140 - 173.

Responsibilities

Lead optimization and ongoing maintenance of large-scale AWS Redshift clusters to ensure robust data warehouse performance and scalable queries (60%)
Enhance and support ETL pipelines, leveraging Kafka streaming and ECS-based jobs to guarantee timely data delivery and reliability (30%)
Improve BI performance and data availability for reporting tools, including Looker, to support analytics needs (10%)
Prepare data assets for AI-enabled applications and MCPs to enable AI workflows
Collaborate closely with the data engineering and BI teams to align data strategies and delivery

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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1mo ago

Analytics Engineer - AI Trainer

DataAnnotation Austin, TX 🇺🇸 Remote

Austin, TX

1mo ago Closed

$50 - $100/hr Full time Ai Ml Ai Training Analyst

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

DataAnnotation offers a fully remote Analytics Engineer - AI Trainer role with flexible scheduling, enabling you to work from anywhere while influencing AI systems built for quantitative reasoning. Based remotely in Austin, TX, this position welcomes candidates from the US, Canada, UK, Ireland, Australia, and New Zealand. The role is compensated on an hourly basis between USD 50 and 100, with payments processed via PayPal.

Responsibilities

Assess AI-generated quantitative outputs across statistical analysis, predictive modeling, scientific reasoning, and data-driven insights to confirm technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models crafted for quantitative reasoning.

Requirements

2+ years in a quantitative role or research environment, including data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experimental design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English with strong writing skills.
Bachelor's degree in a quantitative field is preferred; master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Hourly pay: USD 50 - 100 per hour, with opportunities for higher-paying projects based on performance.
Impact: contribute to AI systems built to reason about data and analytics.
Payment is processed via PayPal.

This role is available to applicants located in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.

Payments are made via PayPal. DataAnnotation will never ask for money from applicants.

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1mo ago

Gen/Agentic AI Engineer

Infosys Irving, TX

Irving, TX

1mo ago Closed

Full time Agentic Ai Ai Ml Analytics

This position is no longer accepting applications (closed Aug 17, 2026).

Job Description

Onsite at Infosys in Irving, Texas, this role centers on building, validating, and deploying data driven analytics and AI models, including forecasting and large language model based solutions. The position emphasizes data readiness, governance, and close collaboration with stakeholders to translate business needs into scalable analytics capabilities.

Responsibilities

Design data preparation workflows while identifying patterns and anomalies during the process.
Ensure data is ready for advanced modeling activities.
Develop models for complex use cases such as forecasting and LLM based solutions, refine algorithms to meet business needs, and ensure deployment into scalable, production ready systems.
Test and optimize algorithms for performance, reliability, and scalability, while guiding team members in best practices.
Design and implement predictive models and data driven analyses to address business challenges.
Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
Leverage SAS, R and Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while expanding analytics including LLMs and delivering innovative, cost effective solutions.
Define analytics problems for projects and execute visualization, analysis, and predictive modeling under guidance.
Proactively maintain models and implement improvements for accuracy and reliability.
Apply governance controls to mitigate risks and ensure compliance.
Analyze performance trends, recommend improvements, and document discrepancies for escalation.
Maintain comprehensive documentation standards and participate in knowledge transfer sessions.
Engage with stakeholders to refine requirements, provide insights, and guide model implementation.
Apply the predefined quality measurement framework at the level of individual tasks within projects.
Deploy complex analytics tools or multi system integrations and validate deployment success.
Develop scripts or templates to streamline repeated deployment tasks.
Contribute to analytic solutions, IP asset creation, and training initiatives.
Contribute to thought leadership through papers and conceptual work in non-ML, ML, deep learning, or LLM models and proofs of concepts.
Participate in and deliver analytics training, contributing to content creation.
Provide input for segment and unit level business plans.

Technologies

SAS
R
Python

Your Contribution to the Team

Deliver scalable, high quality analytics solutions aligned to business needs.
Own optimization, deployment, and performance improvements of models.
Drive innovation through advanced analytics, automation, and thought leadership.
Foster team growth through knowledge sharing, training, and standardization.
Support business planning with data driven insights.

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2mo ago

AI Engineer - Forward Deployed Engineer Associate Manager

Accenture Irving, TX

Irving, TX

2mo ago Closed

$68k - $262k/yr Full time Manager AI Associate

This position is no longer accepting applications (closed Aug 17, 2026).

Job Description

This AI engineer role embeds with clients as technologist and trusted advisor, focusing on productionizing GenAI solutions on the Databricks Intelligence Platform and deploying agentic workflows at scale on cloud platforms.

Responsibilities

Embed directly with clients as technologist and trusted advisor; partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operable in complex enterprise domains.
Design and engineer enterprise-ready AI agents covering retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Build retrieval-augmented generation (RAG) and multi-agent systems on Databricks using Mosaic AI, Vector Search, Model Serving, and MLflow; govern data and models through Unity Catalog.
Develop data and feature foundations on the Lakehouse (Delta Lake, DLT, Unity Catalog) that feed production AI applications.
Tailor and deploy agentic applications across industries including finance, healthcare, and retail.
Lead design workshops, proofs of concept, and code-with sessions with client stakeholders.
Define and apply metrics to measure agent accuracy, latency, safety, and cost effectiveness.
Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark.
Integrate LLM solutions with APIs, model monitoring, and prompt management.
Operate MLOps and LLMOps pipelines with CI/CD across the ML and LLM lifecycle.

Requirements

Minimum 4 years of engineering experience on Databricks and large-scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog); experience building API layers that expose data and AI/ML capabilities to enterprise systems.
Minimum 5 years of experience in Python, Java, or equivalent; comfortable with evaluation tooling, logging, monitoring, and observability.
Minimum 1 year of experience designing and shipping agentic AI solutions in production.
Minimum 1 year of experience shipping agentic solutions in production (agents, orchestration, context engineering, RAG, workflows) using AI platforms (OpenAI, Claude, Vertex AI, open source) and Databricks AI tooling (Mosaic AI, Vector Search, Model Serving, MLflow).
Minimum 2 years of experience shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging; practical MLOps and LLMOps across the ML and LLM lifecycle (model training, serving, monitoring, prompt management).
Bachelor's degree or equivalent work experience (minimum 12 years); if Associate Degree, must have minimum 6 years work experience.