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Data Mining Jobs in Spring, TX (NOW HIRING)

Develop data models for data science team that can be utilized for data mining * Maintain source to target documentation and process flow documentation * Ability to serve as SQL Server DBA - ...

Develop data models for data science team that can be utilized for data mining * Maintain source to target documentation and process flow documentation * Ability to serve as SQL Server DBA - ...

Demonstrate considerable knowledge and analytical abilities by leading the development of quantitative data analysis and data mining solutions in support of forensic investigations, litigation, and ...

Forensic Accounting Senior Consulting

Houston, TX · On-site

$70K - $88K/yr

Demonstrate considerable knowledge and analytical abilities by leading the development of quantitative data analysis and data mining solutions in support of forensic investigations, litigation, and ...

Reliability Engineer

Houston, TX · On-site

$97K - $123K/yr

Conducts reliability data analysis -examples include but are not limited to: statistical Process Control, Reliability modeling and prediction, Data mining, Fault Tree Analysis, Mean Time To Repair ...

Reliability Engineer

Houston, TX

$97K - $123K/yr

Conducts reliability data analysis -examples include but are not limited to: statistical Process Control, Reliability modeling and prediction, Data mining, Fault Tree Analysis, Mean Time To Repair ...

Understand big data concepts and have knowledge of data mining algorithms. * Read and understand pump characteristic curves and electrical schematics. * Learn and implement technical hardware ...

Understand big data concepts and have knowledge of data mining algorithms. * Read and understand pump characteristic curves and electrical schematics. * Learn and implement technical hardware ...

Understand big data concepts and have knowledge of data mining algorithms. * Read and understand pump characteristic curves and electrical schematics. * Learn and implement technical hardware ...

Sr. Financial Analyst

Houston, TX · On-site

$100K - $120K/yr

... data sets and applying data mining techniques to generate insights. • Advanced analytical and problem-solving skills with the ability to identify drivers, risks, and opportunities. • Proven ...

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Showing results 1-20

Data Mining information

See Spring, TX salary details

$45.4K

$62.3K

$79.2K

How much do data mining jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data mining in Spring, TX is $62,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $75,600.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are popular job titles related to Data Mining jobs in Spring, TX? For Data Mining jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Spring, TX look for? The top searched job categories for Data Mining jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Mining jobs? Cities near Spring, TX with the most Data Mining job openings:
Infographic showing various Data Mining job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,292 per year, or $29.9 per hour.
BI Data Engineer

BI Data Engineer

Crane Company

The Woodlands, TX • On-site

Full-time

Re-posted 14 days ago


Job description

Business Unit and Position Summary:

Crane ChemPharma & Energy Flow Solutions is a division within the Fluid Handling Business Segment of Crane Co, a US multi-national which specializes in highly engineered products in niche markets. Crane ChemPharma & Energy Flow Solutions designs, manufactures, markets and distributes a range of process valves and actuators under multiple brand names for a wide range of applications in a number of industries including the refinery, chemical, biopharmaceutical, and energy industries.

Position Summary:

The BI Data Engineer is a Business Intelligence focused role that will be an essential part of the team leading the Global Business Intelligence rollout across ChemPharma & Energy. The ideal candidate will possess proven technical expertise in BI Implementations, strong business acumen, and excellent interpersonal skills. As a BI Data Engineer, you will design data storage systems, works to fill them with quality data using data pipelines into a data warehouse. The BI will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing existing data systems and building them from the ground up. This is a great opportunity to work on building a BI platform from scratch for a company that has significant leadership engagement to undergo a BI tech transformation.

www.craneco.com

Principle Duties:

  • Creating ETL routines includes writing the code that creates the transformations and processes that move data from the specified sources, transform it as required and write it into the data mart

  • Maintain and provide enhancements to data architecture within new/existing systems including Data Warehouse

  • Recommend and implement process to improve data quality, data reliability, and database performance

  • Employ variety of ETL and integration tools for system and data integrations

  • Architect solutions that support data scientist and business stakeholders

  • Conduct ETL testing and data transformation testing.

  • Develop data models for data science team that can be utilized for data mining

  • Maintain source to target documentation and process flow documentation

  • Ability to serve as SQL Server DBA - Processes/Job/Error Handling/Troubleshooting/Scheduling, etc

  • Create and enhance data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data

  • Translate data access, transformation, and movement requirements into functional requirements and mapping designs

  • Ensure data quality

  • Oversee the complete lifecycle of data integration: analysis, design, implementation and actively engage with the business on using the data to make decisions

  • Architect data flows, build out data pipelines and implement complex analytics while ensuring the highest standard of data integrity

  • Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance

  • Translating business requirements into data models to manage data within the organization, using sound technical expertise

  • Managing the Data Platform roadmap ensuring technical future proofing, capacity and optimization of the platform

  • Working with the IT Operations team and BI Vendor to resolve any production issues

  • Managing stakeholder demand and backlog of reporting requirements and needs

  • Maintaining relationships with key vendors to plan and adapt the Data Platform roadmap and best leverage the capabilities that we have

  • Monitoring usage of the Data Platform and working with users to deprecate reports and data sets that are not needed and creating a continuous improvement model for the data

  • Actively working with users to understand data issues, tracing back data lineage and helping the business put appropriate data cleansing and quality processes in place

  • Monitoring and reporting on the uses of emerging technologies, and seeking areas for continuous improvement

  • Prescribe and doggedly follow CBS processes and toolkits to achieve operational excellence

  • Submit Weekly Report to update on the progress of assigned tasks

  • Follow project charge from IT Leader

  • Ensure compliance with IT policies and regulations

Essential Qualifications / Experience:

  • BS or MS degree in Computer Science or a related technical field

  • 4+ years of experience with ETL Development, Testing, Maintenance and Troubleshooting

  • 4+ years of SQL experience (No-SQL experience is a plus)

  • 4+ years of experience with data cleansing and preparation

  • Strong understanding of data analysis, data and process modelling, and relational database concepts

  • Experience designing, building, and maintaining data processing systems

  • Database Development (tables, relationships, indexes, stored procedures, functions, jobs, agents, etc.)

  • 3rd Party System Integrations/API programming

  • Agile (methodologies and practical application)

  • Continuous Integration/Continuous Deployment (methodologies and practical application)

  • New System Installations (Server Setup, Configuration, Testing, Deployment)

  • System Migrations (i.e., On-Premise to Cloud)

  • Must be willing to travel to domestic/international Crane or customer locations, with up to 25% travel at peak-times

Desirable Qualifications / Experience:

  • Knowledge of best practices and IT operations in an always-up, always-available service

  • Proven Business intelligence and data experience gained in previous roles

  • Previous experience of meeting the visualization, reporting and analytics needs of key business functions through development of presentation and data models

  • Working closely with business management teams to understand their requirements and data

  • Defining and developing data sets, models and cubes.

  • Data Warehouse Design/Development - ETLs, Data Modeling, Advanced Data Management Techniques

  • Desirable to have working knowledge of SalesForce data structures

  • Experience with or knowledge of Agile Software Development methodologies

  • Excellent problem solving and troubleshooting skills

  • Process oriented with great documentation skills

  • Excellent oral and written communication skills with a keen sense of customer service

  • Experience presenting to stakeholders

This position is not eligible for visa sponsorship.

#LI-VD1

#CPE

This description has been designed to indicate the general nature and level of work being performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Crane Company. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, sexual orientation, general identity, national origin, disability or veteran status.


Crane AI logo

About Crane AI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2017