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

Charles Schwab Inc.

Senior Data Engineer

Southlake, TX · On-site

$164K - $183K/yr

As a seasoned, hands-on Senior Data Engineer, you will enable WME to achieve consistent, predictable, high-quality delivery by implementing best practices, tools, metrics, automation frameworks, and ...

Charles Schwab

Senior Data Engineer

Southlake, TX · On-site

$99K - $135K/yr

As a seasoned, hands-on Senior Data Engineer, you will enable WME to achieve consistent, predictable, high-quality delivery by implementing best practices, tools, metrics, automation frameworks, and ...

Eliassen Group

Senior Data Engineer

Westlake, TX · On-site

$70 - $75/hr

Hybrid Every Other Week onsite / 5 days in Westlake, TX Our client seeks a Senior Data Engineer to join the Cyber Data Analytics chapter within Enterprise Cybersecurity. You will design and deliver ...

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 ...

Anveta Inc

Data Engineer

Westlake, TX · On-site

$60/hr

Role Overview We are seeking a highly skilled, hands-on Mid-to-Senior Data Engineer to join our team in Westlake, TX. This pivotal role focuses on driving critical data migration activities ...

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 ...

Pwc

Data Engineer - Senior Associate

Fort Worth, TX · On-site

$77K - $202K/yr

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

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

Senior Data Engineer information

See Rhome, TX salary details

$77.9K

$121.5K

$168.4K

How much do senior data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for senior data engineer in Rhome, TX is $121,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $138,500.00 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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 are the most commonly searched types of Data Engineer jobs in Rhome, TX? The most popular types of Data Engineer jobs in Rhome, TX are:
What cities near Rhome, TX are hiring for Senior Data Engineer jobs? Cities near Rhome, TX with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Rhome, TX as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,545 per year, or $58.4 per hour.

Senior Data Engineer

TECHOAUTH SOLUTIONS LLC

Fort Worth, TX • Hybrid

$70K - $120K/yr

Full-time

Re-posted 28 days ago

Job description

Job Title: Senior Data Engineer
Company: Techoauth Solutions LLC
Location: Fort Worth, TX (Hybrid)
Job Summary
Techoauth Solutions is seeking a Senior Data Engineer to design and maintain scalable data pipelines supporting AI-driven analytics and data platforms. This role will work closely with engineering and analytics teams to ensure reliable, secure, and high-performance data systems.
Responsibilities
  • Design and build scalable ETL/ELT pipelines using Python and modern data tools
  • Develop and optimize data models using PostgreSQL

  • Write efficient SQL queries and improve data performance
  • Manage data workflows using Dagster, Airflow, DBT, or AWS Glue

  • Monitor pipeline health and troubleshoot data issues
  • Work with AWS services such as Athena, Glue, SQS, SNS, IAM, and CloudWatch

  • Maintain data quality, governance, and security standards

  • Document data pipelines, workflows, and system architecture
  • Collaborate with cross-functional teams and mentor junior engineers
Requirements
  • Bachelor’s degree in Computer Science, Data Engineering, or related field

  • 5+ years of experience building production data pipelines
  • Strong SQL skills with PostgreSQL or similar databases

  • Experience with Python and data processing frameworks 

  • Experience with ETL/ELT tools such as DBT, Dagster, Airflow, or AWS Glue

  • Knowledge of AWS cloud services

  • Experience with GitHub and CI/CD workflows

  • Strong analytical, problem-solving, and communication skills
Preferred
  • Experience with healthcare data or HIPAA compliance

  • Experience working with AI or machine learning data platforms

Work Environment
  • Hybrid work model (Fort Worth office + remote work)

  • Standard business hours with occasional on-call support for data pipeline incidents.