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Senior Data Engineer Jobs in Cleburne, TX (NOW HIRING)

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite) Description: Minimum Qualifications- Education & Prior Job Experience 5-7 years software solution development using agile, DevOps, operating in a ...

INSPYR Solutions

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

We are seeking a Senior Data Engineer to join a high-performing technology team focused on building scalable data and analytics solutions. This role will work closely with application teams, Product ...

Pwc

Data Engineer - Senior Manager

Fort Worth, TX · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · On-site

This role combines expertise in data engineering, business intelligence, advanced analytics, and ... As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the ...

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · Hybrid

This role combines expertise in data engineering, business intelligence, advanced analytics, and ... As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the ...

Leidos

Data Engineer

Fort Worth, TX · On-site

$73K - $132K/yr

... seeking a Data Engineer to perform a variety of duties in connection with the management of ... for FAA senior leaders, Lines of Businesses, or other external groups. The position will be ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Cleburne, TX

Senior Data Engineer information

See Cleburne, TX salary details

$77.7K

$121.3K

$168K

How much do senior data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for senior data engineer in Cleburne, TX is $121,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $138,200.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Cleburne, TX?

The most popular types of Data Engineer jobs in Cleburne, TX are:

What cities near Cleburne, TX are hiring for Senior Data Engineer jobs?

Cities near Cleburne, TX with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Cleburne, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,253 per year, or $58.3 per hour.

Data Engineer

Fort Worth, TX • On-site

Perficientcorp Inc
See more jobs at Perficientcorp Incexternal

$109K - $131K/yr

Contractor

Re-posted 10 days ago

Job description

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite)
Description:
Minimum Qualifications- Education & Prior Job Experience
5-7 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms required:
Scripting: Python, Spark, Unix, SQL
Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
Clear understanding on Data Warehousing concept
Data Governance and Privacy: Informatica Axon and EDC, BigID
Orchestration: Azure Data Factory, Tivoli
Preferred Qualifications- Education & Prior Job Experience
5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
Skills, Licenses & Certifications
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
Expertise in providing practical direction within the Azure Native cloud services.
Azure Development Track Certification (preferred)
Spark Certification (preferred)