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Data Engineer Jobs in Spring, TX (NOW HIRING)

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early ...

Pwc

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Beusa Energy Group

Data Engineer 1

The Woodlands, TX · On-site

$102K - $122K/yr

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 ESSENTIAL FUNCTIONS (The ...

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

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 ...

Deloitte

Sr Databricks Data Engineer

Houston, TX · On-site

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Guidehouse

Senior Data Engineer

Houston, TX · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

Phillips 66

Advisor II, Data Engineer

Houston, TX

$108K - $133K/yr

Apply data engineering and DevOps practices, including source control, branching, CI/CD pipelines, deployment automation, and release support across development, test, and production environments.

Phillips 66

Advisor II, Data Engineer

Houston, TX · On-site

$108K - $133K/yr

Apply data engineering and DevOps practices, including source control, branching, CI/CD pipelines, deployment automation, and release support across development, test, and production environments.

swipejobs LLC

Data Engineer

Houston, TX · On-site

$80/hr

Design, develop, and maintain data pipelines and infrastructure to collect, process, and analyze large datasets. Implement ETL processes, optimize database performance, and ensure data quality and ...

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

They are seeking an AI Data Engineer with expertise in data structures and AI/ML workflows, responsible for designing data pipelines, integrating AI analytics, and collaborating with data modelers to ...

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer Skydio * Drone Operations Data Execution * Plan execute and optimize drone missions for inspection ...

Swift Hire LLC

Snowflake Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Snowflake Data Engineer will: * Build automated and manual data ingestion pipelines into Snowflake. * Implement transformations and mappings across the ingestion layers. * Develop reusable data ...

Alliance Technical Group

SR Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and ...

Fracht USA

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision-making across the organization's global operations.

SDH Systems

AWS Data Engineer

Houston, TX · On-site

$109K - $131K/yr

What you will do Data platform engineering • Design and build data pipelines across a medallion lakehouse architecture, from source ingestion through curated, governed data products. • Build on ...

Fracht Sweden AB

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision‑making across the organization's global ...

Resilience Partners

GIS Data Engineer

Houston, TX · On-site

As a GIS data engineer in our projects delivery group, you will be a key player in helping tobuild our initial product line. What you will own * The build: stand up and harden the PostGIS environment ...

Quanex Building Products

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

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All JobsData Engineer JobsData Engineer Jobs in Spring, TX

Data Engineer information

See Spring, TX salary details

$37.7K

$109.8K

$150.2K

How much do data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data engineer in Spring, TX is $109,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $116,400.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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 strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Spring, TX?

The most popular types of Data Engineer jobs in Spring, TX are:

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

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The top searched job categories for Data Engineer jobs in Spring, TX are:

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Cities near Spring, TX with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Spring, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $109,796 per year, or $52.8 per hour.

Public Health Data Engineer

Houston, TX

Guidehouse
Business Management Consulting • 10K+ employees
Learn more about Guidehouseexternal

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.

  • Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.

  • Support cloud-based data environments and services in AWS and Azure.

  • Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

  • Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.

  • Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.

  • Document technical processes, data flows, and system configurations.

  • Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.


What You Will Need:

  • U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.

  • TWO (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

  • Experience with a programming language such as Python, Java, or SQL.

  • Experience with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.

  • Experience with data integration, ETL, data warehousing, or analytics concepts.

What Would Be Nice To Have:

  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

  • Basic understanding of relational databases and data querying concepts.

  • Familiarity with version control systems such as Git.

  • Basic understanding of software development lifecycle and Agile methodologies.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to learn new technologies and work collaboratively in a team environment.

  • Strong verbal and written communication skills.

  • Experience working with public health data and agencies

  • Exposure to Databricks, Spark, or large-scale data processing technologies.

  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.

  • Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.

  • Exposure to CI/CD tools and DevOps practices.

  • AWS, Azure, Databricks, or related cloud/data certifications.

  • Experience supporting healthcare, public sector, or federal clients.

  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

  • Previous consulting, client-facing, internship, or cooperative education experience.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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