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Data Engineer Data Jobs in Spring, TX (NOW HIRING)

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

$100/hr

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights ...

National Oilwell Varco

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 ...

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 ...

National Oilwell Varco

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 ...

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 ...

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 ...

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 ...

Foxconn Industrial Internet - FII

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 ...

Hp

Data Solutions - Data Engineer

Spring, TX

$130K - $205K/yr

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is responsible for data collection procedures, including accurate and relevant data for machine learning ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in ...

Howard Hughes

Sr. Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

About the Role We are seeking a Sr. Data Engineer to design, build, and optimize enterprise data solutions across our Microsoft ecosystem. This role focuses on Microsoft Fabric , Power BI , and Azure ...

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 ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 47 Years Mandatory Certification: * Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key ...

Arva Intelligence

Data Engineer

Houston, TX · On-site

$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 ...

Drunix Solution Inc

Snowflake Data Engineer

Houston, TX · On-site

$109K - $131K/yr

We are looking for a Data Engineer to help design, build, and scale a modern cloud data platform centered on Snowflake and AWS . The ideal candidate has strong data engineering fundamentals ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Spring, TX

Data Engineer Data information

See Spring, TX salary details

$40.9K

$146.8K

$216.7K

How much do data engineer data jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data engineer data in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
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What job categories do people searching Data Engineer Data jobs in Spring, TX look for? The top searched job categories for Data Engineer Data jobs in Spring, TX are:
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Data Engineer Data jobs near you
Data Engineer - Data Science & Technology

Data Engineer - Data Science & Technology

Castleton Commodities International

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Castleton Commodities International (CCI) is redefining how data and technology shape the future of energy trading. They are seeking a Data Engineer to ensure seamless ingestion and management of data across platforms, implementing new data management systems and creating data ingestion pipelines.
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:
Required:
• 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 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.
Preferred:
• Experience in energy commodities or financial services is nice to have but not required.
Company:
Castleton Commodities International is an independent global commodities merchant. Founded in 2001, the company is headquartered in Stamford, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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