Spring, TX

Data Jobs in Spring, TX

6 jobs found

Include remote jobs

13d ago

Data Analyst II

RWDY Inc Spring, TX

Spring, TX

13d ago

$37 - $37/hr Full time Document Imaging Enterprise Content Management

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Job Description

RWDY Inc is hiring a Data Analyst II to support Unconventional Land and Land Services through end-to-end management of land documentation. The role focuses on processing physical and electronic records, maintaining document quality, and operating within ExxonMobil’s enterprise content management (ECM) system.

This onsite position in Spring, TX supports document workflows that require precision, strong organization, and consistent follow-through across scanning, indexing, routing, tracking, and archiving.

Key Responsibilities

Support Unconventional Land and Land Services with document processing, digitization, routing, tracking, indexing, and archiving.
Maintain document accuracy and quality throughout scanning and indexing.
Use enterprise content management systems to organize and manage documentation.
Search internal and external databases to identify legacy records and missing documentation.
Assist in identifying software enhancements, process improvements, and workflow efficiencies.
Escalate non-routine issues to management or Corporate Land as appropriate.
Prioritize multiple requests while maintaining confidentiality and accuracy.
Develop familiarity with petroleum land terminology, documentation, and business processes.

Typical Time Allocation

5% Process incoming documents
5% Prepare documents for scanning
10% Scan physical documents
50% Index and perform quality assurance on digital documents
25% Electronically process and route documents
5% Other assigned responsibilities

Additional Responsibilities

Process incoming physical and electronic documents.
Prepare paper documents for scanning and digitization.
Perform indexing and quality assurance of scanned documents.
Electronically route and distribute completed documents.
Track, archive, and manage document workflows.
Support special projects and additional document management activities as assigned.

Required Qualifications

High School Diploma or equivalent.
Minimum 1 year of clerical or general office experience.
Proficiency with Microsoft Word, Microsoft Excel, and Microsoft Outlook.
Strong organizational and document management skills.
Excellent attention to detail and accuracy.
Effective written and verbal communication skills.
Ability to prioritize multiple assignments in a fast-paced environment.

Preferred Qualifications

Five years of administrative support experience in Oil & Gas Land or related Oil & Gas operations.
Experience working with land documentation and enterprise content management (ECM) systems.
Knowledge of land data types and document indexing.
Experience researching internal databases and external regulatory databases.
Familiarity with DrillingInfo (Enverus), county digital record systems, and regulatory agency databases.
Understanding of oil and gas land terminology and business processes.

Technology and Tools

Microsoft Office (Word, Excel, Outlook)
Enterprise Content Management (ECM) systems
Electronic document management
Document scanning and indexing
Digital quality assurance
Database research
Records management
Workflow routing

Physical Requirements

Ability to stand, walk, bend, stoop, kneel, crouch, and reach throughout the workday.
Frequently lift and move up to 25 pounds.
Occasionally lift or move up to 100 pounds.
Ability to work in varying environmental conditions, including heat, cold, and humidity.
Close, distance, and color vision required.

Compensation: USD 37 per hour.

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1mo ago

AI and Machine Learning Engineer

Hewlett Packard Enterprise Spring, TX

Spring, TX

1mo ago Closed

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

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

Hewlett Packard Enterprise is hiring an AI and Machine Learning Engineer for a hybrid role based in Spring, TX, with an average of 2 days per week from an HPE office. This position supports work on high-performance computing and AI and Large Language Model performance on HPE GPU servers, including benchmarking, analysis, and technical documentation.

What you’ll get at HPE

A comprehensive suite of benefits designed to support physical, financial, and emotional wellbeing, including support for your loved ones.
Career programs to help you reach your goals, whether you want to become a knowledge expert or apply your skills in another division.
Flexibility to manage work and personal needs in a semi-remote style.
An unconditionally inclusive culture that celebrates individual uniqueness in the way teams work.

Responsibilities

Install and configure complex IT infrastructure, including servers, storage, and network components.
Develop software scripts and configuration to automate deployment and operations.
Study, measure, and improve the performance of Large Language Models running on HPE GPU servers.
Perform system-level analysis of server workloads across HPE platforms running DL and ML code, including accelerated hardware and high-speed networks such as InfiniBand.
Run AI and HPC benchmarks, capture performance data, and interpret logs and traces to understand workload behavior.
Build scripts and software tools to analyze AI workload performance data.
Write white papers and guidance documents covering AI workload and model selection.
Communicate progress and concerns to management in a timely manner; provide clear summaries to non-technical colleagues.
Partner with software and hardware partners to optimize systems and resolve performance issues.
Document issues found during testing and evaluation.
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 and HPL alongside 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, high-performance networking, and associated software including Slurm resource managers.
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.
Must be a self-starter who can work with minimum supervision in a semi-remote setting.

Technologies you’ll work with

Large Language Models, HPE GPU servers, and InfiniBand
NCCL, HPL, and AI benchmarks
Containers, distributed deep learning, neural networks, and transformers
High Performance Computer Servers, High Performance Networking, Slurm
Weka I/O, NFTS, and Lustre File Systems
Python, C, C++, and CI/CD

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

Recruitment fraud alert

Scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with recruitment and hiring. HPE also never requests personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

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1mo ago

Data Scientist

Hewlett Packard Enterprise Spring, TX

Spring, TX

1mo ago Closed

$72k - $164k/yr Full time Analytics Data Data Analysis

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Data Scientist role at Hewlett Packard Enterprise, onsite in Spring, TX, with a salary range of USD 71,500 to 164,400 per year.

Responsibilities

Contributes to analysis and validation of data sets, solutions, and user experience.
Supports the development, enhancement, and maintenance of a client's metadata aligned with analytic objectives; may load data into the infrastructure and contribute to creating the hypothesis matrix; prepares data for Exploratory Data Analysis and hypotheses.
Assists in building and validating models for the overall solution and contributes to selecting the model that best supports the outcome.
Supports research, identification and delivery of data science solutions to problems.
Helps visualize model insights, user experience aspects, and configuration tools for the analytics solution.

Requirements

Bachelor's degree in Statistics, Operations Research, Computer Science or equivalent.
Foundational knowledge of data science methodologies.
Basic understanding of business requirements and data science objectives.
Fundamental data mapping, data transfer, and data migration skills; familiarity with analytics software including R, SAS, SPSS and Python.
Fundamental knowledge of machine learning, data integration, and modeling skills, plus ETL tools such as Informatica, Ab Initio, and Talend.
Basic communication and presentation skills.
Basic knowledge of relevant data programming languages.
Basic knowledge of data visualization techniques.

Technologies

R
SAS
SPSS
Python
Informatica
Ab Initio
Talend

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1mo ago

Data Engineer

ExxonMobil Spring, TX

Spring, TX

1mo ago Closed

Full time Analytics Azure Data Factory Big Data

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

ExxonMobil offers an onsite Data Engineer role in Spring, TX within the Data Solutions group of the Development Strategy Team. The position focuses on designing and operating data pipelines, analytics, automation, and data management to support sustainable products and platforms. This opportunity is paired with a comprehensive benefits package designed to support your financial security, health, and flexibility.

Your Benefits

Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly retirement annuity for life.
Savings Plan: You can contribute between 6% and 20% of pay; if you contribute at least 6%, the company provides a 7% match.
Workplace Flexibility: Programs such as Flex your Day offer ad hoc flexibility around when and where you work, plus longer term options like leaves of absence and part-time work.
Medical, dental, and vision: Comprehensive plans are available.
Culture of Health: Programs and resources to support wellbeing.
Employee Health Advisory Program: Confidential counseling for you and your family at no additional cost.
Disability Plan: Income replacement for illness or injury, with automatic enrollment at no cost.

What you will do

Create and implement automated data workflows using Python, GIS, SQL, Spotfire, Alteryx, MS Power Platform and more to reduce manual errors, standardize data, and uphold governance and data integrity.
Improve and expand existing systems while building new capabilities as needed.
Design, build, test, document, deploy, monitor, and support end-to-end data pipelines.
Develop analytical dashboards with Spotfire and Databricks, and web frameworks such as Shiny and React.
Collaborate with domain experts, data scientists, and engineers to capture needs, constraints, and limitations.
Build ETL processes and manage integrations across multiple systems and data sources.
Prepare technical data for interpretation, perform analyses, and create final presentations of results for formal reviews.
Show a willingness to learn, experiment, and grow through new challenges.

What we require

Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Geoscience, or Analytics.
Self-directed with the ability to support data needs across multiple teams, systems, and products.
Motivation to optimize or redesign the company data architecture to enable next generation products and initiatives.
Proficiency in SQL with experience querying relational databases, views, and normalized schemas.
Programming proficiency, preferably Python, with solid grounding in algorithms, clean code, and environment management.
Experience with enterprise ETL tools such as Alteryx, Azure Synapse, and Azure Data Factory.
Experience performing root cause analyses on data and processes to answer business questions and identify opportunities for improvement.
Ability to build processes supporting data transformation, data structures, metadata, dependencies, and workload management.
Proven history of manipulating, processing, and extracting value from large, disparate datasets.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in dynamic environments.
Ability to identify opportunities for improvement and automation of existing workflows and processes.
Experience building and optimizing large-scale data pipelines, architectures, and datasets.
Knowledge of Angular, JavaScript, C#, and Java programming languages.
Knowledge of cloud technologies: Azure, AWS, and GCP.
Expertise in Databricks and Snowflake.
Working knowledge of message queuing, stream processing, and scalable big data data stores.
Oil and 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

Job ID: 107782

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2mo ago

Data Engineer

INSPYR Solutions Spring, TX

Spring, TX

2mo ago Closed

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

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

Job Description

We are seeking a Data Engineer for a contract role with INSPYR Solutions, based onsite in Spring, TX. The position focuses on designing scalable data models and Azure-based pipelines to enable organization-wide analytics and business intelligence. The assignment requires onsite work in Spring, TX, three days per week.

Job Details

Location: Spring, TX (onsite)
Job Type: Contract
Salary: USD 70 - 85 per hour
Required Experience: 5 years minimum

Responsibilities

Design and maintain dimensional data models and semantic layers to support enterprise reporting and analytics, applying data warehousing and architecture best practices.
Develop scalable, modular ETL and ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
Transform raw data into analytics-ready structures with Spark SQL, DBT, and Azure Synapse; implement data quality checks and schema evolution strategies.
Leverage Azure services including SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure and pipelines.
Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
Collaborate with analysts and BI developers to ensure data models support reporting and visualization in tools such as Power BI.
Monitor data pipelines and models, troubleshoot issues, and optimize for high availability and performance.
Continuously adopt and apply current data engineering practices, tools, and technologies.

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 systems such as Git and Azure DevOps.
Familiarity with Power BI or similar visualization tools.
Solid understanding of data integration, data quality, and data transformation best practices.
Demonstrated problem-solving ability and a collaborative mindset.

Technologies

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

Benefits

Comprehensive medical benefits
Competitive pay with a 401(k) plan
Retirement plan
Additional benefits available

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2mo ago

Data Engineer

Information Technology Senior Management Forum Spring, TX

Spring, TX

2mo 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 is an onsite position in Spring, TX focused on data collection, quality, governance, and supporting machine learning models. The role leads data engineering efforts to design, build, and maintain secure, scalable data solutions while fostering cross-team collaboration and mentoring staff to enhance data-driven decision making.

Summary

The Data Engineer is responsible for data collection, data quality, governance, and enabling machine learning initiatives, while steering data engineering efforts to create and sustain secure, scalable data platforms. The role emphasises cross-functional collaboration and professional development to strengthen data‑driven decision making across the organization.

Responsibilities

Guides one or more project teams of data engineers through all design and development phases for complex, secure, high‑performing data solutions and models, covering design, analysis, coding, testing, and integration of structured and unstructured data.
Evaluates designs and project activities for adherence to architecture, security, and quality standards, delivering actionable feedback to improve product quality and reduce failure risk.
Provides domain expertise and overall leadership for data systems across cross‑organization projects, programs, and activities.
Champions innovation and the adoption of new technologies within big data projects and initiatives.
Collaborates with project teams to communicate progress and resolve issues effectively.
Represent the data engineering team across phases of larger and more complex development efforts.
Supports coaching and training of business analytics solution users to enhance decision-making capabilities.
Maintains data integrity by monitoring data changes and executing mass updates as needed.
Builds and sustains relationships across the organization to support data initiatives.
Provides guidance and mentorship to less experienced staff members.

Requirements

Bachelor's or advanced degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics, or related discipline, or equivalent work experience or demonstrated competence.
Typically 7 to 10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
Certification in programming languages such as SQL, Python, or similar.
Experience applying Agile methodologies.
Proficiency with Amazon Web Services and Microsoft Azure.
Knowledge of Apache Hadoop, Apache Kafka, and Apache Spark.
Familiarity with big data concepts and data analysis, data engineering, data modeling, data pipelines, and data warehousing.
Experience with Extract, Transform, Load (ETL) processes and Java, Python, or Scala programming.
Exposure to machine learning concepts and practical implementation.
Strong communication skills, results orientation, learning agility, digital fluency, and customer centricity.

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 time off policies, including 4 to 12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

Salary

USD 130,700 - 205,200 per year

Type

Full-time

Schedule

Full time

Shift

No shift premium (United States of America)

Location

Spring, TX onsite

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Data Jobs in Spring, TX

Data Analyst II

AI and Machine Learning Engineer

Data Scientist

Data Engineer

Data Engineer

Data Engineer

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