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Sr Data Engineer Jobs in Texas (NOW HIRING)

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Sr Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Sr. Data Engineer (Java / Snowflake / DataStage / Python) Overview We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will ...

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Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Sr. Data Engineer

Crystal City, TX · Hybrid

$106K - $140K/yr

Job Openings >> Sr. Data Engineer Sr. Data Engineer Summary Title: Sr. Data Engineer ID: 1000000039 Location: Crystal City, VA Clearance Level: Obtain Public Trust Level 6 Shift: Standard Day Shift ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Title : Sr. Data Engineer IV Process : 2 rounds virtual, final interview onsite Location: 3800 Quick Hill Road Austin, TX 78728 (3 days onsite) Intro Summary We're seeking a highly skilled Senior ...

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

We are looking for a highly skilled Senior Data Engineer with 10+ years of experience in designing, developing, and maintaining scalable data platforms and enterprise-grade data pipelines. The ideal ...

Senior Data Engineer

Plano, TX · On-site

$130K - $135K/yr

Job Title - Senior Data Engineer w/d Databricks and Python Experience (5) Location: Plano, TX and Wilmington, DE - 5 days onsite role, no hybrid Salary: $130-135K plus benefits We are looking for a ...

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

NAVA Software is looking for a Sr. Data Engineer Details: Sr. Data Engineer Location: Sugarland TX - 4 days/week onsite Duration: 12 months Design, develop, and support data engineering, data ...

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Sr Data Engineer information

See Texas salary details

$75.5K

$117.7K

$163K

How much do sr data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for sr data engineer in Texas is $117,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What cities in Texas are hiring for Sr Data Engineer jobs? Cities in Texas with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, 2% Part Time, and 25% Contract. Highlights an 86% In-person, 10% Hybrid, and 4% Remote job distribution, with an average salary of $117,694 per year, or $56.6 per hour.

Sr Data Engineer

Millennium Group

Plano, TX • On-site

$109K - $131K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

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The Millennium Group rating

6.6

Company rating: 6.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

310th of 485 rated business services


Job description

Sr. Data Engineer (Java / Snowflake / DataStage / Python)
Overview
We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will focus on building and maintaining data solutions that support analytics and customer interaction platforms across multiple business domains.
Key Responsibilities

  • Design, develop, and support scalable data engineering solutions.
  • Build and maintain data pipelines and integrations using modern data technologies.
  • Develop solutions leveraging Java, Python, Snowflake, and DataStage.
  • Support cross-channel customer interaction and analytics initiatives.
  • Collaborate with business stakeholders, architects, and engineering teams.
  • Contribute to AI/ML-related initiatives and advanced analytics solutions.
  • Support end-to-end solution development, implementation, and adoption.
  • Ensure alignment with enterprise architecture and strategic technology direction.


Required Skills

  • Strong Data Engineering experience
  • Java
  • Snowflake
  • IBM DataStage
  • Python
  • Full Stack Development experience
  • Experience designing and supporting enterprise data solutions


Preferred Skills

  • Kafka
  • AI/ML experience
  • Advanced Analytics experience
  • Experience working with large enterprise data environments

What The Millennium Group employees say

Pay

Benefits

Hours and flexibility

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