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

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

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 Engineer

Houston, TX ยท On-site

$95K - $130K/yr

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 Engineer

Houston, TX

$109K - $131K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Azure Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX ... Perform root cause analysis on external and internal processes and data to identify opportunity for ...

Data Engineer - Senior Manager

Houston, TX ยท On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Apply strong analytical and programming skills to evaluate demographic, economic, and geographic ... Apply advanced knowledge in economics, statistics, and data science to develop forecasting models ...

Main Purpose of Job The Data Analysts role will be to partner with stakeholders across the ... Ability to work independently with minimal Engineering support * Extensive experience with data ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Model curated, analytics-ready datasets and serving layers that are well-documented, performant ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Model curated, analytics-ready datasets and serving layers that are well-documented, performant ...

... goals by collecting, cleaning, analyzing, and visualizing data, and using the resulting ... Partner with Engineering, Data Science, and other teams to identify and use the data needed to ...

DATA ENGINEER - Houston, TX

Houston, TX ยท On-site

$109K - $131K/yr

Role: Data Engineer Location: Houston, TX/ Lake Charles, LA/ Oklahoma City, OK/ Little Rock, AR ... Collaborate with data analysts, data scientists, and business stakeholders to understand data ...

New

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

Full We are looking for experienced data analyst to work on different data domains for the wealth management sector. The data analyst will work closely with business representatives and functional ...

*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 ...

Drone Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer ... AIML analytics pipelines * Handle authentication access control rate limits and API lifecycle ...

Aid Sales, Engineering, Project Management and Operations with the risk assessment of future ILI surveys to help ensure Entegra tools will successfully navigate and collect data from a Data Analyst ...

New

Aid Sales, Engineering, Project Management and Operations with the risk assessment of future ILI surveys to help ensure Entegra tools will successfully navigate and collect data from a Data Analyst ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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Showing results 1-20

Data Engineer Data Analyst information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do data engineer data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data engineer data analyst in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What job categories do people searching Data Engineer Data Analyst jobs in Spring, TX look for? The top searched job categories for Data Engineer Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineer Data Analyst jobs? Cities near Spring, TX with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Spring, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $73,541 per year, or $35.4 per hour.

Data Engineer

Arva Intelligence

Houston, TX โ€ข On-site, Remote

$95K - $130K/yr

Other

Posted 25 days ago


Job description

Job Title:ย ย ย ย ย ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย Data Engineerย 

Department:ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย Modeling & Analytics

Reports to: ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  Lead Modeling Scientist

Location: ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย Remote

Base Salary Range: ย ย ย ย ย ย ย $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