1

Data Engineer Jobs in Spring, TX (NOW HIRING)

Data Engineer

Houston, TX · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n \n \n N ote: Only Houston, TX candidates \n \n \n \n \n \n \- Responsibilities: \n \n \n \-Build ...

PCA Data Engineer

Houston, TX · On-site

$109K - $131K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, working closely with various teams to design and maintain data pipelines that enhance ...

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 ...

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 ...

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 ...

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 ...

PCA Data Engineer

Houston, TX

$109K - $131K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. In this role, you will be aligned with a specific ...

Sr Databricks Data Engineer

Houston, TX · On-site

$109K - $131K/yr

As a Senior Consultant - 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 ...

Data Engineer II

Houston, TX

$109K - $131K/yr

Reporting directly to the Director Data Platform within the Information Technology department, the Data Engineer II is responsible for collaborating with analytics, business intelligence, and IT ...

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

LiteBridge connects talented data engineers with global opportunities by training them in Palantir Foundry and deploying them to leading companies in North America and Europe. We are building a ...

Data Engineer II

Houston, TX · On-site

$91K - $96K/yr

Reporting directly to the Director Data Platform within the Information Technology department, the Data Engineer II is responsible for collaborating with analytics, business intelligence, and IT ...

Palantir Ontology Data Engineer

Spring, TX · On-site

$101K - $122K/yr

Palantir Ontology Data Engineer Position Responsibilities Job Title:- Palantir Ontology Data Engineer Location:- Spring Texas (On-Site) Job Type:- Long Term Contract Market rate Need Oil & Gas ...

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 ...

Business Data Engineer II

Houston, TX · Hybrid

$109K - $131K/yr

The Business Data Engineer Level 2 collaborates with Supervisors or Level III Engineers on assigned projects, acting as a subject matter expert in one or more areas of expertise. The role also ...

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 ...

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/yr

Reporting to the GM of Engineering, the Senior Data Engineer will collaborate cross-functionally with business and technical stakeholders to design, develop, and optimize data pipelines and ...

New

next page

Showing results 1-20

Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data engineer 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 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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:
What are popular job titles related to Data Engineer jobs in Spring, TX? For Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Spring, TX look for? The top searched job categories for Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineer jobs? Cities near Spring, TX with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.
Data Engineer

Data Engineer

Accenture

Houston, TX • On-site

$75 - $85/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 rated business services


Job description

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.

As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.

You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.

Key Responsibilities:

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform, and load processes to migrate and deploy data across various systems. You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, and contribute to key decisions. Providing solutions to problems that impact multiple teams is a critical part of this role.

  • Lead the design and optimization of scalable data architectures to support evolving business needs.

  • Collaborate closely with cross-functional teams to align data solutions with organizational goals and technical standards.

  • Provide technical guidance and support to colleagues, fostering knowledge sharing and continuous improvement.

  • Analyze complex data challenges and develop innovative approaches to enhance data reliability and efficiency.

  • Drive the adoption of best practices in data management and pipeline development to elevate overall quality.

Basic Qualifications:

  • Minimum 5 years of experience with advanced proficiency in Data Engineering, along with expert proficiency in Data Pipelines and Data Processing

  • Advance proficiency in Python, SQL, Data Pipelines and Data Processing

  • High School Diploma or GED


Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 07/24/2026.
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:

Accenture Flex Jobs

Role Location Hourly Salary Range

California $75 to $85

Cleveland $75 to $85

Colorado $75 to $85

District of Columbia $75 to $85

Illinois $75 to $85

Maine $75 to $85

Maryland $75 to $85

Massachusetts $75 to $85

Minnesota $75 to $85

New York $75 to $85

New Jersey $75 to $85

Virginia $75 to $85

Washington $75 to $85

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom