1

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

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 ...

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... Target Hiring Range $110,000 - $169,000 Please note that quoted salary ranges are not guarantees of ...

Google Senior Data Engineer

Houston, TX · On-site

$94K - $266K/yr

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine ... Employee Benefits | Accenture Role Location Annual Salary Range California $94,400 to $266,300 ...

Full Stack Engineer

Houston, TX · On-site

$100 - $130/hr

Senior Director of Data Engineering Salary: $100,000 - $130,000, commensurate with experience Position Overview We are seeking an innovative and detail-oriented Full Stack Engineer to lead the design ...

New

Data Strategy-Manager

Houston, TX · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Data Governance- Manager

Houston, TX · On-site

$99K - $232K/yr

... Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon ...

Data Solutions Engineer

Houston, TX · On-site

$109K - $131K/yr

Join our team as a Data Solutions Engineer, where you will play a key role in designing and ... Competitive Salaries * Performance Bonus Program * Generous Time Off * Generous Retirement Program ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

... engineer in Houston, Texas, to ensure customer success through the development of real time data ... The position offers a competitive salary ranging from $90,000 to $130,000 based on experience ...

New

Google Data Specialist

Houston, TX · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Employee Benefits | Accenture Role Location Annual Salary Range California $70,350 to $196,000 ...

Showing results 21-40

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 Aug 20, 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 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 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 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.

Do data engineers make good money?

Data engineers typically earn competitive salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Salaries vary based on experience, location, and industry, but they are generally above average compared to many other tech roles.

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:

Senior Data Engineer

Quanex

Houston, TX

$101K - $137K/yr

Full-time

Re-posted 25 days ago


Quanex rating

6.6

Company rating: 6.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

458th of 542 rated manufacturers


Job description

Quanex is looking for a Sr. Data Engineer to join our team located in Houston, Texas.

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 ensures reliable, high-quality data flows across systems and owns the full data lifecycle—from ingestion to transformation, storage, and consumption—enabling business insights and data-driven decision-making.

Candidates must be authorized to work in the United States without the need for current or future employer sponsorship. Quanex will not provide sponsorship for this position. Candidates must also be local to Houston, as relocation will not be offered for this position.

We Offer You!

  • Competitive Salary
  • Excellent Bonus Potential
  • Medical, Dental & Vision Plans
  • Paid Time Off, Training & Holidays
  • Charitable Contribution Match Program
  • Tuition Assistance
  • Wellness/Fitness Resources
  • Training & Professional Development
  • 401K Match w/ 2-year Vesting Period
  • Employee Stock Purchase Plan
  • Dynamic Culture & People - just to name a few!

What’s attractive about the Sr. Data Engineer position?

  • Drive Impact Through Data
  • Collaborate Across the Business
  • Thrive in a Fast-Paced Environment

What Success Looks Like:

  • Design, build, and maintain ETL/ELT pipelines to ingest data from ERPs, applications, APIs, and external sources.
  • Own and manage the full data lifecycle: ingestion, transformation, storage, modeling, and consumption.
  • Develop and optimize complex SQL queries, stored procedures, and data transformations for large-scale datasets.
  • Design and maintain scalable data models for Data Warehouse and Data Lake environments (star/snowflake schemas).
  • Integrate data across multiple systems (ERPs, APIs, flat files, third-party tools) ensuring consistency and reliability.
  • Collaborate with integration teams to align data pipelines with enterprise architecture (integration layers, APIs, middleware).
  • Implement data quality, validation, and monitoring frameworks across all stages of the data lifecycle.
  • Optimize data pipelines, queries, and storage for performance, scalability, and cost efficiency.
  • Troubleshoot data issues and ensure timely resolution of data-related incidents.
  • Partner with BI developers, analysts, and business stakeholders to deliver high-quality data solutions.

What You Bring:

  • 5+ years of experience in data engineering or related roles.
  • Bachelor’s degree in computer science, Information Technology, Data Science, Engineering, or a related technical field required.
  • Advanced SQL expertise (complex joins, window functions, query optimization, indexing strategies, performance tuning).
  • Strong experience with ETL/ELT tools and frameworks.
  • Deep understanding of data lifecycle management (ingestion, transformation, storage, governance, and consumption).
  • Strong experience with data integration patterns (APIs, batch processing, streaming, middleware).
  • Proficiency in data modeling (star/snowflake schemas, normalization vs denormalization).
  • Experience with Data Warehousing and Data Lake architectures.
  • Experience with cloud platforms (Azure preferred).
  • Experience with Microsoft Fabric, Azure Data Factory, or similar tools.
  • Familiarity with ERP systems (SAP, Oracle, NetSuite).
  • Experience with financial data and reconciliation processes.
  • Exposure to big data technologies (Spark, Databricks).
  • Understanding of EDI or structured data exchange formats.
  • Experience implementing data governance and data quality frameworks.
  • Strong analytical and problem-solving skills.
  • Attention to detail with strong focus on data quality and integrity.
  • Ability to understand and manage end-to-end data flows across systems.
  • Strong collaboration across technical and business teams.
  • Ownership mindset with proactive issue resolution.
  • Ability to work in agile, fast-paced environments.

The salary range for this position is $120,000 to $140,000 with bonus potential.

Call or text 346-277-9038 to apply!

About Quanex, A Part of Something Bigger

Quanex (NYSE: NX) is a global, publicly traded manufacturing company primarily serving OEMs in the fenestration, cabinetry, solar, refrigeration and outdoor products markets. We are A Part of Something Bigger by improving the performance and aesthetics of end products through continuous innovation, helping customers achieve greater production efficiencies, dedication to giving back to communities where we operate, producing shareholder value and helping our employees learn, grow, and thrive. Learn more at Quanex.com.

#LI-MB1

Company Description

With locations around the world, Quanex Building Products Corporation is an industry-leading manufacturer of components sold to Original Equipment Manufacturers in the building products industry. Quanex designs and produces energy-efficient fenestration products in addition to kitchen and bath cabinet components.


What Quanex employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom