1

Data Jobs in Spring, TX (NOW HIRING)

Data Scientist This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

The Data Architect is responsible for designing and building Harris County Public Health data systems. They will provide expert guidance in identifying internal and external data sources, and ...

Data Architect

Houston, TX · On-site

$52K/yr

The Data Architect is responsible for designing and building Harris County Public Health data systems. They will provide expert guidance in identifying internal and external data sources, and ...

Data Architect, AI and Data Practice

Houston, TX · On-site

$61 - $78.25/hr

From day one you will be hands on and billable on classic data work: reporting, dashboards and data warehouse engagements for mid-market clients. As our AI offerings expand, the same role grows into ...

POSITION OVERVIEW As an integral part of Hanwha Energy USA's Commodities team, the Data Scientist will oversee the entire data science pipeline for wholesale power and gas market applications ...

POSITION OVERVIEW As an integral part of Hanwha Energy USA's Commodities team, the Data Scientist will oversee the entire data science pipeline for wholesale power and gas market applications ...

POSITION OVERVIEW As an integral part of Hanwha Energy USA's Commodities team, the Data Scientist will oversee the entire data science pipeline for wholesale power and gas market applications ...

POSITION OVERVIEW As an integral part of Hanwha Energy USA's Commodities team, the Data Scientist will oversee the entire data science pipeline for wholesale power and gas market applications ...

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 ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

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 ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX - Hybrid, 3 days onsite Worksite: Houston, Texas Job Summary STAFFXPERT LLC is seeking a Data Engineer on behalf of our client in Houston, TX . This is a hands-on ...

New

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 ...

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 ...

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 ...

Showing results 41-60

Data information

See Spring, TX salary details

$38.9K

$139.7K

$206.1K

How much do data jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data in Spring, TX is $139,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $143,900.00 per year, depending on experience, location, and employer.

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 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 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 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 managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

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 are popular job titles related to Data jobs in Spring, TX?

For Data jobs in Spring, TX, the most frequently searched job titles 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:

Infographic showing various Data job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $151,946 per year, or $73.1 per hour.

Data Engineer - Data Science & Technology

Houston, TX • On-site

Castleton Commodities International, LLC
Oil and Gas Extraction • 501 - 1,000 employees

$109K - $131K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 15 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!
#LI-CD1