1

Data Engineering Jobs in Spring, TX (NOW HIRING)

Ideal Background: * 5-10 years of experience in data engineering, analytics, or data science. * Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and BI ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience * 5 or more years ...

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience 5 or more years ...

The ideal candidate has strong data engineering fundamentals, experience with enterprise data platforms, and the ability to work with ontologies, semantic models, metadata, and governed data products.

Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key Responsibilities: * Design and implement enterprise-scale data architectures and Lakehouse ...

Sr Databricks Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer ...

JB061810 - Senior Data Engineer - 1707

Houston, TX · On-site

$101K - $137K/yr

Skills Data Engineering, da.. Visa Types Green Card, US Citiz.. Job Title: Senior Data Engineer Location: Houston, Texas 77002 Duration: 06 Months Contract Job Summary Our client is seeking an ...

Data Engineer III

The Woodlands, TX · On-site

$104K - $125K/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 POSITION SUMMARY: As a ...

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.

Showing results 41-60

Data Engineering information

See Spring, TX salary details

$38.9K

$139.7K

$206.1K

How much do data engineering jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineering 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 is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

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

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

What job categories do people searching Data Engineering jobs in Spring, TX look for?

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

What cities near Spring, TX are hiring for Data Engineering jobs?

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

Infographic showing various Data Engineering 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 $139,676 per year, or $67.2 per hour.

Lead Consultant - Data Architecture & Engineering

Houston, TX • Hybrid

GHD
Engineering Professional Services • 10K+ employees

Full-time

Re-posted 16 days ago


GHD rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

At GHD, we don't just believe in the power of commitment, we live and breathe it every day.

That's why we pledge to support and empower all of our people to make a positive impact when working hand in hand with our business to drive change. We'll help you accelerate your career and empower you with the right technology and training as you bring ideas and projects to life.

Together with your colleagues, clients and partners, you'll make an impact that is felt by all. See where your commitment could take you.
 

Who are we looking for?

GHD is seeking a Lead Consultant - Data Architecture & Engineering to join our Americas Business Advisory practice. This role is a senior sellerdoer position for a technically deep consulting leader who combines strong market-facing capabilities with hands-on expertise in data architecture, data engineering, and advanced analytics.

The Data, Analytics & AI Team partners with public and private sector clients to define information-driven strategies, design and implement modern data platforms, and deliver advanced analytics and AI solutions that improve decision-making, performance, and compliance. At GHD, we go beyond strategy by delivering end-to-end solutions from business problem definition through architecture, build, and implementation in real-world operating environments.

This role will lead client engagements, shape and sell new work, and provide technical and delivery leadership across complex data and AI programs.

Preferred offices include Houston, Philadelphia, Atlanta

Our Hybrid Work Model: Be part of the dynamic culture!  Our workplace thrives on a hybrid model, combining in-office collaboration and flexibility.  Join us in the office three days a week to contribute, connect and excel in our vibrant environment.

Working with an energetic and high performing team, this position offers a variety of work and will see you involved in:

Market Leadership and Business Development

Act as a sellerdoer, originating, shaping, and closing data, analytics, and AI opportunities across priority markets
Build trusted advisor relationships with senior client stakeholders, including executives and operational leaders
Lead proposal development, solution shaping, and commercial structuring for complex consulting engagements
Partner with market, sector, and account leaders to identify highvalue use cases and growth opportunities
Contribute to the evolution of GHD's Data, Analytics & AI offerings and gotomarket strategy

Client and Engagement Leadership

Lead large, complex data and digital transformation programs from strategy through implementation
Serve as the senior engagement lead for key clients, accountable for scope, quality, outcomes, and financial performance
Translate business objectives into scalable data architecture, analytics, and AI solutions
Facilitate executive workshops and working sessions to define vision, roadmap, and investment priorities
Present insights, recommendations, and progress updates to executive and governance audiences

Technical and Solution Leadership

Provide hands-on technical leadership in data architecture, data engineering, and analytics solution design
Lead the creation and execution of enterprise data and AI strategies, roadmaps, and reference architectures
Guide the design of modern data platforms across cloud and hybrid environments
Oversee solution design involving analytics, machine learning, generative AI, computer vision, and digital twins
Ensure solutions are scalable, secure, and aligned with data governance and operating model requirements

Team Leadership and Capability Development

Lead and mentor multidisciplinary teams of data engineers, data scientists, and analytics consultants
Foster a culture of technical excellence, collaboration, and practical problem solving
Set technical standards, review solution designs, and provide quality assurance across engagements
Support talent development, coaching, and growth of future technical and consulting leaders

Thought Leadership and Innovation

Stay current on emerging trends in data platforms, analytics, AI, and digital transformation
Drive adoption of AI-enabled solutions relevant to infrastructure, environment, and assetintensive sectors
Contribute to internal thought leadership, client presentations, and industry forums

What you will bring to the team:

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field strongly preferred

10+ years of experience in data analytics, data engineering, and AI, with at least 5 years in a senior consulting or leadership role
Proven experience as a sellerdoer in a consulting environment, including business development and client leadership
Deep experience defining and implementing enterprise data architectures and analytics platforms
Strong background working with public and private sector clients on complex, multistakeholder engagements
Demonstrated ability to bridge business strategy and technical execution

Technical Expertise

Strong proficiency in Python, SQL, and modern data platforms and engineering patterns
Strong experience with cloud data platforms such as Azure, Databricks, and Snowflake.  
Experience with machine learning and AI frameworks and analytics platforms
Experience with data visualization and decisionsupport tools such as Power BI
Familiarity with data governance, data management, and operating model design

Leadership Skills

Executivelevel communication and presentation skills
Strong stakeholder management and facilitation capabilities
Ability to lead teams, influence without authority, and operate in matrixed environments

Preferred Qualifications

Certifications in data strategy, cloud architecture, AI, or digital transformation
Experience implementing enterprisescale data platforms and governance frameworks
Background in infrastructure, environmental, industrial, or assetintensive sectors

#LI-TP1

As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. GHD is an equal opportunity employer. We provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, genetic information, national origin, sex (including same sex), sexual orientation, gender identity, pregnancy, childbirth, or related medical conditions, age, disability or handicap, citizenship status, service member status, or any other category protected by federal, state, or local law.


What GHD employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


GHD logo

About GHD

Sourced by ZipRecruiter

We are committed to solving the world's biggest challenges in the areas of water, energy and urbanisation. GHD is a global professional services company that is a leader in engineering, construction and architectural expertise. Established in 1928, we remain wholly owned by our people. We are 10,000+ diverse and skilled individuals, yet we are proudly 'One GHD' across more than 200 offices, spanning five continents - Asia, Australia, Europe, North and South America, and the Pacific region. Delivering extraordinary social and economic outcomes, we are passionate about building lasting relationships with our partners and clients.

Industry

Engineering professional services

Company size

10,000+ Employees

Headquarters location

Waterloo, ON, CA

Social media