Spring, TX

Developer Jobs in Spring, TX

5 jobs found

Include remote jobs

Today

AI and Machine Learning Engineer

Hewlett Packard Enterprise Spring, TX

Spring, TX

Today

$121k - $277k/yr Full time AI Ai Hardware Artificial Intelligence

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Job Description

Build and evaluate AI and Large Language Model performance on HPE GPU infrastructure in a hybrid role based in Spring, TX (about 2 days per week from an HPE office).

Responsibilities

Install and configure complex IT infrastructure components including servers, storage, and network
Develop software scripts and configurations to automate deployment
Study, test, and improve Large Language Model performance on HPE GPU servers
Conduct system-level analysis of server workloads across HPE platforms running DL and ML code
Focus on accelerated hardware and high-speed networking, including InfiniBand
Capture and review performance data, logs, and traces to understand workload behavior
Develop scripts to analyze AI workload performance data
Run AI and HPC benchmarks
Write white papers and other guidance documents related to AI workloads and model selection
Communicate technical findings clearly, including summaries for non-technical colleagues
Work with software and hardware partners to optimize systems and resolve performance issues
Document and report issues found during testing and evaluation
Provide timely updates to management on project status and concerns
Provide guidance to less-experienced staff members

Requirements

Master’s degree or PhD in Computer Science, Engineering, Information Technology or Systems, or a relevant field
5+ years of experience
5+ years in Machine Learning/Artificial Intelligence and 5+ years in HPC
Experience running NCCL, HPL, and AI benchmarks
Experience with containers and distributed deep learning and neural networks, including transformers used in generative AI projects
Experience with High Performance Computer Servers and High Performance Networking, including resource managers such as Slurm
Experience with Weka I/O, NFTS, and Lustre File Systems
Programming experience in Python, C, and C++
Strong analytical and critical thinking skills
Scripting, process automation, and CI/CD are strongly desired
Ability to operate as a self-starter with minimum supervision in a semi-remote setting

Technologies

Large Language Models
HPE GPU servers
InfiniBand
NCCL
HPL
AI benchmarks
Containers
Distributed deep learning
Neural networks
Transformers
Generative AI
High Performance Computer Servers
High Performance Networking
Slurm
Weka I/O
NFTS
Lustre File Systems
Python
C
C++
CI/CD

Benefits

Comprehensive benefits that support physical, financial, and emotional wellbeing
Programs designed to help you reach career goals, including growing as a knowledge expert or applying your skills to another division
Flexibility to manage work and personal needs

Additional Skills

Artificial Intelligence Technologies
Cross Domain Knowledge
Data Engineering
Data Science
Design Thinking
Development Fundamentals
Full Stack Development
IT Performance
Machine Learning Operations
Scalability Testing
Security-First Mindset

Health & Wellbeing

Comprehensive benefits that support you and your loved ones’ physical, financial, and emotional wellbeing

Personal & Professional Development

Career investment, with emphasis that improving your skills strengthens the team
Programs to support career goals, including knowledge expertise or applying skills across divisions

Unconditional Inclusion

Unconditionally inclusive work environment that celebrates individual uniqueness
Flexibility to manage work and personal needs

Recruitment Fraud Alert: Beware of scams through false websites, emails, social media, or chat-based applications. HPE and its authorized recruitment agencies/vendors will never charge candidates registration, hiring, or other fees, and will not request personal information such as bank account details, Social Security numbers, or national IDs via social media or chat applications.

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9d ago

Data Engineer

ExxonMobil Spring, TX

Spring, TX

9d ago

Full time Analytics Azure Data Factory Big Data

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Job Description

ExxonMobil is seeking a Data Engineer to join the Data Solutions group within the Development Strategy Team in Spring, Texas. This onsite role focuses on designing and operating data pipelines, analytics, automation, and data management to support sustainable products and platforms, collaborating with cross-functional partners to turn data into actionable insights.

Responsibilities

Design, develop, and institute automated workflows utilizing Python, GIS, SQL, Spotfire, Alteryx, MS Power Platform and more to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
Develop and optimize existing and new expansion of the systems in place
Design, develop, test, document, deploy, monitor, and support data pipelines
Design and develop analytical dashboards using BI tools such as Spotfire and Databricks, as well as web-based frameworks including Shiny and React
Work with domain experts, data scientists, engineers to understand needs, constraints, and limitations
Develop ETL processes and maintain application integrations across multiple systems and data sources
Prepare technical data for interpretation, conduct analyses and routine computer processing of the data, and help create final displays of the results often for formal presentations
Willingness to learn, experiment, try new things, fail, and grow

Requirements

Bachelor's in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Geoscience, Analytics
Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
Driven by the prospect of optimizing or even re-designing company’s data architecture to support the next generation of products and data initiatives
Functional in SQL with experience in querying relational databases, views, and normalized schemas
Functional in programming (Python-preferred) with skills in algorithms, clean code, environment management
Understanding and utilization of enterprise ETL tools; ex: Alteryx, Azure Synapse, Azure Data Factory
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
A successful history of manipulating, processing, and extracting value from large, disconnected datasets
Strong project management and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment
Ability to identify opportunities for improvement / automation and development of existing workflows and processes
Experience building and optimizing big data pipelines, architectures, and data sets
Knowledge of Angular, Javascript, C#, Java programming languages
Knowledge of cloud technologies: Azure database, AWS, GCP
Expertise in Databricks and Snowflake
Working knowledge of message queuing, stream processing, and highly scalable big data stores
Oil & Gas industry experience

Technologies

Python
GIS
SQL
Spotfire
Alteryx
MS Power Platform
Databricks
Shiny
React
Angular
Javascript
C#
Java
Azure Synapse
Azure Data Factory
Azure
AWS
GCP
Snowflake

Benefits

Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
Workplace Flexibility: Programs such as Flex your Day, ad-hoc flexibility around when and where you work, plus longer-term options like leaves of absence and part-time work
Comprehensive medical, dental, and vision plans
Culture of Health: Programs and resources to support wellbeing
Employee Health Advisory Program: Confidential professional counseling for you and your family at no cost
Disability Plan: Income replacement for illness or injury, on or off the job

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Job ID: 107782

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1mo ago

Networking Software Engineer

Hewlett Packard Enterprise Spring, TX

Spring, TX

1mo ago Closed

$98k - $186k/yr Full time DevOps Engineering Ethernet

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Networking Software Engineer at Hewlett Packard Enterprise in Spring, TX (onsite), focusing on RDMA-class networking features for the Slingshot product line.

Responsibilities

Design, develop, and integrate RDMA-class networking features for the Slingshot product line.
Collaborate with development, build, test, and CI teams to embed software into test and release workflows.
Develop domain expertise and work cross-functionally across teams.
Prototype, design, and develop software for networking library components to optimize RDMA performance on exascale-class systems.
Document architectures, procedures, and processes in use and contribute to process improvements.
Engage with open-source communities to enhance API support for Slingshot networking hardware.
Assess and recommend new technologies and use cases to advance the platform.
Contribute to advanced path finding initiatives across teams and partners.

Requirements

Bachelor's degree or higher in Computer Science or related field, or equivalent industry experience.
Minimum of 2 years' experience in networking software.
Understanding of High-Performance Computing architectures, RDMA networking, and the HPC industry.
Experience with Ethernet/IP networking.
Ability to work well in a cooperative development team with a commitment to sound software engineering principles.
Strong written and verbal communications skills.
Success working in a fast-paced, changing environment with a strong sense of urgency.

Technologies

RDMA, MPI, SHMEM
C, Python
Linux
Ethernet/IP networking

Salary

USD 97,500 - 186,100 per year

Benefits

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Let's Stay Connected

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

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1mo ago

Data Engineer

INSPYR Solutions Spring, TX

Spring, TX

1mo ago Closed

$70 - $85/hr Contract Analytics Azure Azure Data Factory

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

INSPYR Solutions offers an onsite contract opportunity in Spring, Texas for a Data Engineer who will design scalable data models and Azure based pipelines to empower analytics and business intelligence across the organization. This role is carved for collaboration, technical growth, and delivering reliable data infrastructure. The compensation range is USD 70 to 85 per hour, with the work onsite three days per week.

Benefits

Comprehensive medical benefits
Competitive pay and 401(k)
Retirement plan
Onsite collaboration with a dedicated team and access to ongoing learning opportunities
Contracts designed to support career growth and practical data engineering impact

Responsibilities

Design and implement data models that support enterprise reporting and analytics, maintaining dimensional models and semantic layers while applying data warehousing best practices
Build scalable, modular ETL and ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks
Transform and structure raw data with Spark SQL, DBT, and Azure Synapse to deliver analytics-ready data, including data quality checks and schema evolution strategies
Leverage Azure technologies such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to construct and manage scalable data infrastructure and pipelines
Enable CI/CD and DevOps by integrating data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment
Support reporting and visualization efforts by collaborating with analysts and BI developers to optimize data models for Power BI
Troubleshoot and optimize data pipelines and models to ensure high availability and performance of data systems
Stay current with evolving data engineering practices, tools, and technologies to maintain a forward-looking data stack

Requirements

5 to 7 years of experience in data engineering or related roles
Proven expertise in data modeling, particularly dimensional modeling, and data warehouse design
Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT
Strong SQL and Spark SQL skills
Experience with CI/CD, DevOps, and version control (Git, Azure DevOps)
Familiarity with Power BI or similar visualization tools
Solid understanding of data integration, data quality, and data transformation best practices
Strong problem-solving abilities and a collaborative mindset

Technologies

Azure Data Factory
Synapse Analytics
Databricks
DBT
Spark SQL
SQL Server
Delta Lake
Power BI
Azure DevOps
Git

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1mo ago

Data Engineer

Information Technology Senior Management Forum Spring, TX

Spring, TX

1mo ago Closed

$131k - $205k/yr Full time Azure Big Data Bigdata

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

The Data Engineer role at Information Technology Senior Management Forum focuses on assembling reliable data pipelines, ensuring data quality and governance, and supporting machine learning initiatives. The position leads data engineering efforts to design, build, and maintain secure, scalable data solutions while fostering cross-team collaboration and mentoring staff to strengthen data-driven decision making. This onsite role is based in Spring, Texas.

Location and Work Arrangement

Spring, TX, on site.

Responsibilities

Oversees one or more data engineering teams through all phases of design, development, and integration of complex, secure, and performant data solutions and models, handling both structured and unstructured data.
Evaluates designs and project activities for adherence to architecture, security, and quality standards, providing actionable feedback to improve product quality and reduce risk of failure.
Provides domain-specific expertise and leadership for data systems across cross-organization projects and programs.
Promotes innovation by assessing and integrating new technologies within big data initiatives.
Maintains collaboration with project teams to track progress and resolve issues efficiently.
Represents the data engineering function in phases of large and complex development projects.
Supports coaching and training of business analytics solution users to enhance decision-making capabilities.
Maintains high data integrity by employing tools to monitor and mass update data changes as needed.
Fosters relationships across the organization and with stakeholders.
Provides guidance and mentorship to less experienced staff members.

Requirements

A four-year or graduate degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics, or an equivalent combination of education and experience.
Typically 7 to 10 years of relevant work experience in data analytics, data engineering, data modeling, or related fields.
Certification or proven capability in programming languages such as SQL, Python, or similar.
Experience with Agile methodologies.
Proficiency with Amazon Web Services.
Hands-on knowledge of Apache Hadoop, Apache Kafka, and Apache Spark.
Understanding of Big Data concepts and related data engineering practices.
Experience with data analysis, data modeling, data pipelines, ETL processes, and data warehousing.
Programming language experience in Java, Python, Scala, and SQL.
Familiarity with machine learning concepts is desirable.
Experience with cloud platforms, including Microsoft Azure.
Strong communication, results orientation, learning agility, digital fluency, and customer-centric mindset.

Technologies

Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Microsoft Azure
Python
Java
Scala
SQL

Benefits

Health insurance
Dental insurance
Vision insurance
Long term and short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous paid time off, including 4 to 12 weeks of fully paid parental leave based on tenure
11 paid holidays
Additional flexible vacation and sick leave (US benefits overview)

Compensation and Employment Details

Salary: USD 130,700 - 205,200 per year
Employment Type: Full-time
Schedule: Full-time
Shift: No shift premium

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Developer Jobs in Spring, TX

AI and Machine Learning Engineer

Data Engineer

Networking Software Engineer

Data Engineer

Data Engineer

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