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

PSA BDP

Data Scientist

Houston, TX · On-site

Operating at the intersection of data engineering, statistical modeling, and operational supply ... Exemption Type Exempt (Salaried) Job Requirements EDUCATION Bachelor's degree in Data Analytics ...

Pwc

AI & GenAI Data Scientist - Manager

Houston, TX

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

SwiftCruit

Data Scientist

Spring, TX · On-site

$100 - $125/hr

Basic data knowledge of relevant data programming languages. * Basic knowledge of data ... Salary Annual Salary USD 71,500 - 164,400 in Texas. The listed salary range reflects base salary.

Hewlett Packard Enterprise

Data Scientist

Spring, TX · On-site

Data Scientist This role has been designed as ''Onsite' with an expectation that you will primarily ... Engineering Job Level: TCP_01 "The expected salary/wage range for this position is provided below.

Pwc

AI Engineer

Houston, TX

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... The salary range for this position is: $50,500 - $112,500. Actual compensation within the range ...

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All JobsData Engineer Salary JobsData Engineer Salary Jobs in Spring, TX

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 Sep 8, 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:

Data Engineer Salary jobs near you

Senior Software Engineer, Foundational Data Engineering - NYC / Houston, TX- Systematic Quant Fund

Oxford Knight

Houston, TX • On-site

$117K - $154K/yr

Full-time

Re-posted 2 days ago

Job description

Location: New York, NY / Houston, TX
Summary
Not your standard hedge fund, the scientists, technologists and academics at this innovative company look beyond traditional finance to develop creative solutions and sophisticated trading models.
They're looking to hire mid-level software engineers with expertise in Data Engineering to join the foundational data team. You'll be expected to have a strong background in large language models (LLM) technologies, cloud computing, and financial markets. You will work on world-class trading systems, developing and maintaining scalable and efficient data engineering solutions designed to meet the needs of your data scientist, financial analyst and engineering colleagues.
This role would be perfect for someone with a deep understanding of financial instruments & simulations, as well as knowledge of the data engineering technology landscape to help drive continued success.
Requirements
  • 7-10 years of software development experience, preferably with a data engineering focus
  • Proven background in LLM technologies and their application
  • Strong programming skills in languages such as Python, Java, or C++
  • Solid experience with cloud platforms (AWS, Azure, GCP), and related, e.g. BigQuery
  • Good knowledge of database technologies (SQL, NoSQL) and data warehousing
  • Minimum BS/BA in Computer Science, Engineering, Finance (or related field)
  • Highly desirable: prior financial industry/hedge fund experience

Benefits
  • Market-leading base salaries + bonus
  • Outstanding benefits package
  • Truly collaborative culture and growth opportunities throughout the firm
  • Flexible work environment
  • Tuition reimbursement, conference and training sponsorship

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you are a strong match for this role, or would like more information, please get in touch:
Eoughin Perry
eoughin.perry@oxfordknight.com
linkedin.com/in/eoughin-perry-874b19195

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