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

... Lead Data & AI Governance Engineer to lead the development of governance policies, standards ... Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers.

... Lead Data & AI Governance Engineer to lead the development of governance policies, standards ... Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers.

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 ...

Data Scientist

Spring, TX · On-site

$71.50 - $164.40/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.

Showing results 41-60

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:

30 OPENINGS | SOFTWARE/CLOUD/DATA | FBI PROGRAM | RELOCATION with Security Clearance

Kforce Federal Solutions

Houston, TX • On-site

$57.25 - $74.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Note: This role would require relocating if not local to Huntsville, Alabama (#1 Place to Live) ***One Round Interview / faster offers! *** Start 3-4 weeks*** Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours)
Clearance: Active Top Secret Required
Employment Type: W2 Consultant (Kforce)
Benefits: Medical, Dental, Vision, 401(k), and more
Relocation Package: Yes Apply Today! or
Contact Recruiter Directly:
Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ ➡️Cloud Developer – 6+ YOE
Skills: CloudFormation, Terraform, AWS, Model Deployment, Lambda, CI/CD, GitLab, Kubernetes, Docker ➡️Cloud Developer – 8+ YOE
Skills: AWS, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS ➡️Cloud Developer – 10+ YOE
Skills: Advanced AWS Infrastructure, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Recycle Bin, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS; Nice: Prior Sys Admin Experience ➡️Data Analyst – 10+ YOE
Skills: Python, SQL, Exploratory Data Analysis, GitLab, Data Documentation, Power BI, Requirements Gathering
Data Engineer – 8+ YOE
Skills: ETL, Informatica, Linux ➡️Data Engineer– 8+ YOE
Skills: NiFi, Java, AWS, ETL, Spark, Scala, SQL, PL/SQL, Linux, Data Pipelines; Nice: Agile, Maven, GitLab
Data Scientist / Data Engineer – 8+ YOE
Skills: Python, Java or Scala, AWS, Natural Language Processing (NLP), Machine Learning, Statistical Analysis & Model Evaluation, Git, GitLab CI/CD ➡️Developer– 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️DevOps Engineer – 6+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️DevOps Engineer – 8+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️Solutions Architect – 8+ YOE
Skills: ElasticSearch/OpenSearch, Cluster Deployment & Configuration, Backup & Recovery, Cluster Monitoring, Indexing, AWS, Application Load Balancers (ALB); Nice: Java ➡️Software Developer – 6+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, REST APIs, Microservices, GitLab CI/CD ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️Software Engineer – 10+ YOE
Skills: Java, Microservices, Spring Boot, Docker, Python, Terraform, GitLab; Nice: Terragrunt, Agile, Maven The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.