1

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

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Data Engineer II

Houston, TX · On-site

$130K - $145K/yr

Data Engineer II (Mid-Level) SynergenX Health Holdings Location ... Houston, TX 77070 (Corporate Headquarters) Job Type: Full-Time | Exempt Salary: $130,000-$145,000 ...

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

Junior Data Engineer SynergenX Health Houston, TX 77070 Salary: $110,000-$125,000 annually Job Type: Full-Time | Exempt Schedule: Monday-Friday | 8:00 AM - 5:00 PM Work Location: 100% Onsite ...

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is ... Salary: The pay range for this role is $130,700 to $205,200 USD annually with additional ...

Data Engineer III

The Woodlands, TX

$104K - $125K/yr

Salary Exempt Reports To: Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work Schedule: Monday-Friday, 8 a.m.-5 p.m. Positions Supervised: None AIP Level : 7 ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... The salary wage range for New York that we expect to pay for this position is a minimum of $134,500 ...

Salary: About LiteBridge: LiteBridge connects talented data engineers with global opportunities by training them in Palantir Foundry and deploying them to leading companies in North America and ...

Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs. Responsibilities Data Engineering - End-to ...

... salary protection programs. Responsibilities Data Engineering - End-to-End Solution Delivery: • Lead, communicate, and participate in end-to-end solution delivery across the Context Engine ...

... salary protection programs. Responsibilities Data Engineering - End-to-End Solution Delivery: • Lead, communicate, and participate in end-to-end solution delivery across the Context Engine ...

... salary protection programs. Responsibilities Data Engineering - End-to-End Solution Delivery: • Lead, communicate, and participate in end-to-end solution delivery across the Context Engine ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Job Posting End Date The salary range for this position is: $124,000 - $280,000. Actual ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Competitive Salary * Excellent Bonus Potential * Medical, Dental & Vision Plans * Paid Time Off ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Competitive Salary * Excellent Bonus Potential * Medical, Dental & Vision Plans * Paid Time Off ...

next page

Showing results 1-20

Data Engineer Salary information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do data engineer salary jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data engineer salary in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What is the average salary of a Data Engineer?

The average salary of a Data Engineer varies depending on experience, location, and industry, but in the United States, it typically ranges from $90,000 to $140,000 per year. Entry-level positions may start around $80,000, while experienced data engineers or those in tech hubs like San Francisco or New York can earn upwards of $150,000 or more. Factors such as certifications, advanced degrees, and specialized skills in big data technologies can also influence salary.

What is the difference between Data Engineer Salary vs Data Scientist Salary?

AspectData Engineer SalaryData Scientist Salary
Required CredentialsBachelor's in CS, Engineering, or related field; experience with SQL, Python, ETL toolsBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, machine learning
Work EnvironmentData pipelines, database management, cloud platformsData analysis, modeling, predictive analytics
Employer & Industry UsageTech companies, finance, healthcare, retailTech firms, research institutions, finance, marketing

While both roles require strong technical skills and familiarity with data tools, Data Engineers focus on building and maintaining data infrastructure, earning a median salary typically slightly lower than Data Scientists, who analyze data to generate insights and predictive models. Salary differences depend on experience, location, and industry.

What are some common challenges Data Engineers face when working with large-scale data systems?

Data Engineers often encounter challenges related to the scalability and reliability of data pipelines, especially as data volume and variety increase. Ensuring data quality, minimizing downtime, and managing evolving data schemas are frequent hurdles. Additionally, collaborating with data scientists and analysts to understand their requirements and deliver timely, usable datasets can be complex. Staying updated with rapidly changing technologies and best practices is also essential for long-term success in this role.

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 strong proficiency in data modeling, ETL (extract, transform, load) processes, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with database systems (SQL/NoSQL), cloud platforms (AWS, Azure, GCP), and data pipeline tools (Apache Spark, Kafka) is typically required, with certifications in these areas being advantageous. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting complex data issues. These skills ensure reliable data infrastructure, support business intelligence, and enable scalable data-driven decision-making.
What are popular job titles related to Data Engineer Salary jobs in Spring, TX? For Data Engineer Salary jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Salary jobs in Spring, TX look for? The top searched job categories for Data Engineer Salary jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineer Salary jobs? Cities near Spring, TX with the most Data Engineer Salary job openings:

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Posted 25 days ago


Job description

Job Title:                          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 for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field