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Data Jobs in Spring, TX (NOW HIRING)

H-GAC

Data Analyst

Houston, TX

Support regional planning efforts through advanced land use modeling, data analysis, and forecasting. * Apply strong analytical and programming skills to evaluate demographic, economic, and ...

K2 Group Inc.

Data Analyst

Houston, TX · On-site

*This is a contingent opportunity Data Analyst K2 Group is seeking a Data Analyst in support of Headquarters, Installation Management Command (IMCOM) Provost Marshal/Protection Support Services (PM ...

Houston Galveston Area Council

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

Support regional planning efforts through advanced land use modeling, data analysis, and forecasting. * Apply strong analytical and programming skills to evaluate demographic, economic, and ...

Crane Worldwide Logistics

Data Scientist

Houston, TX · On-site

Create and maintain production-ready pipelines for data science models * Partner with the Business Intelligence and Data Engineering teams to improve data quality, define key metrics, and develop ...

Crane Worldwide Logistics

Data Scientist

Houston, TX · On-site

Create and maintain production-ready pipelines for data science models * Partner with the Business Intelligence and Data Engineering teams to improve data quality, define key metrics, and develop ...

Recruit Monitor

Data Analyst

Houston, TX

Partner with Engineering, Data Science, and other teams to identify and use the data needed to optimize the channel About you and your skills: * 1+ year of experience in a quantitative field such as ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers ...

INSPYR Solutions

Data Engineer

Spring, TX · On-site

$70 - $85/hr

Data Engineer Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered. Duration: 6 + months Compensation: $70 to $85 ...

FIRST SERVICE CREDIT UNION

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Collaborates with Data Analysts, developers, and business stakeholders to ensure high-quality data products that support operational reporting and on-prem AI workloads. Essential Functions ...

Avenue Code, LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Houston, TX Contract As a Data Engineer, you will contribute to the BI development to optimize energy operations, enhance forecasting, and improve operational efficiency. This role is ...

Fervo Energy

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers ...

Dlapiper

Data Engineer

Houston, TX

$109K - $131K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

FIRST SERVICE CREDIT UNION

Data Engineer

Houston, TX

$109K - $131K/yr

Collaborates with Data Analysts, developers, and business stakeholders to ensure high-quality data products that support operational reporting and on-prem AI workloads. Essential Functions ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent ...

Foxconn Assembly LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

NOV, Inc.

Data Engineer

Houston, TX · On-site

$110K - $133K/yr

You will work closely with engineers, data scientists, and operational experts to translate business needs into technical solutions that enhance reliability and performance across NOV's global ...

NRG Energy

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer role involves building and maintaining data pipelines and platforms to support analytics and reporting within contact center operations, ensuring reliable data ingestion and ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Data Engineer Department : Modeling & Analytics Reports to : Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible ...

FIRST SERVICE CREDIT UNION

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Collaborates with Data Analysts, developers, and business stakeholders to ensure high-quality data products that support operational reporting and on-prem AI workloads. Essential Functions ...

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All JobsData JobsData Jobs in Spring, TX

Data information

See Spring, TX salary details

$42.4K

$151.9K

$224.2K

How much do data jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data in Spring, TX is $151,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Spring, TX? The most popular types of Data jobs in Spring, TX are:
What job categories do people searching Data jobs in Spring, TX look for? The top searched job categories for Data jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data jobs? Cities near Spring, TX with the most Data job openings:
Data jobs near you
Infographic showing various Data 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 $151,946 per year, or $73.1 per hour.
Data Engineer - Data Science & Technology

Data Engineer - Data Science & Technology

Castleton Commodities International, LLC

Houston, TX • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 13 days ago

Job description

At Castleton Commodities International (CCI), we are redefining how data and technology shape the future of energy trading. Our Data Science & Technology team is at the forefront of this transformation, developing systems and innovative tools that empower our front-office teams to better understand market dynamics, forecast prices, and manage risk.
Our commitment to excellence is reflected in a robust, modern, open-source technology stack, empowering us to solve complex, high-impact challenges at scale. From cloud-native infrastructure to machine learning platforms, real-time analytics, and proprietary libraries and APIs, we are passionate about using technology to drive innovation and create a competitive edge in global energy commodity trading and investing. Candidates will gain direct exposure to our commercial investment teams, offering a unique opportunity to see how cutting-edge technology drives strategy and performance in energy markets.
Our Data Engineering team is integral to our mission, ensuring the seamless ingestion and management of data across our platforms. The Data Engineer will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data - from data architecture design to on-going data management and will have significant exposure to our Commercial investing teams globally. This position will play an integral role as the firm continues to expand its use of data for advanced analytics and other commercial purposes.
Responsibilities
  • Execute data architecture and data management projects for both new and existing data sources.
  • Help transition existing data sets, databases, and code to a new technology stack.
  • Manage end to end data ingestion process and publishing to investing teams.
  • Own the process of mapping, standardizing, and normalizing data.
  • Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.
  • Help transition existing data sets, databases, and code to a new technology stack.
  • Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.
  • Actively manage vendors and capture changes in data input proactively.
  • Properly prioritize and resolve data issues based on business usage.
  • Assist with managing strategic initiatives around big data projects for the commercial (trading) business.
  • Partner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.
  • Assess gaps in current datasets and remediate.

Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.
  • 3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling.
  • Experience in energy commodities or financial services is nice to have but not required.
  • Experience in mapping, standardizing, and normalizing data.
  • Experience with ETL/ELT frameworks to write pipelines to load millions/billions of records.
  • Advanced skills in writing highly optimized SQL code.
  • Experience with relational databases; Snowflake highly preferred.
  • Hands-on experience developing data solutions in Python, Pandas, Numpy, etc.
  • Ability to communicate and interact with a wide range of data users - from very technical to non-technical.
  • Team player who is execution focused, with the ability to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.
  • Ability to work effectively in a fast-paced, dynamic and high-intensity environment including an open-floor plan, with timely responsiveness and the ability to work beyond normal business hours when required.

Employee Programs & Benefits:
CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:
  • Competitive comprehensive medical, dental, retirement and life insurance benefits
  • Employee assistance & wellness programs
  • Parental and family leave policies
  • CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.
  • Charitable contribution match program
  • Tuition assistance & reimbursement
  • Quarterly Innovation & Collaboration Awards
  • Employee discount program, including access to fitness facilities
  • Competitive paid time off
  • Continued learning opportunities

Visit https://www.cci.com/careers/life-at-cci/# to learn more!
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