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Data Engineer Python Jobs in Texas (NOW HIRING)

IT Associates, Inc.

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Dallas area, TX * Open on c2c or w2 Azure Data Engineer (Python & Azure) We are looking for an Azure Data Engineer with strong Python development and containerization experience to build scalable ...

Take-Two Interactive

Data Engineer (Python/Spark)

Austin, TX · On-site

$113K - $136K/yr

They are seeking a dynamic Data Engineer to design, build, and maintain reliable and scalable data ... Required : • 3+ years of hands-on experience in Python. • 3+ years of hands-on experience in ...

Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Vitol

Python Data Engineer

Houston, TX · On-site

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Vitol

Python Data Engineer

Houston, TX

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Virtusa

Python Data Engineer

Irving, TX

$48.25 - $66.50/hr

Looking for highly motivated Python Developer with a strong background in Big Data technologies with Retail risk domain experience to join our dynamic engineering team. The ideal candidate will be ...

New

Vings Technologies

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role: Data Engineer Location: Dallas, TX Contract: 6-9+ months. Experience: 10+ years : We are ... Python Java Node.js Shell Scripting DevOps Git CI/CD Terraform Ansible GitOps Practices

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All JobsData Engineer Python JobsData Engineer Python Jobs in Texas

Data Engineer Python information

See Texas salary details

$21.4K

$130.4K

$188.7K

How much do data engineer python jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineer python in Texas is $130,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the most commonly searched types of Data Engineer Python jobs in Texas? The most popular types of Data Engineer Python jobs in Texas are:
What are popular job titles related to Data Engineer Python jobs in Texas? For Data Engineer Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Engineer Python jobs in Texas look for? The top searched job categories for Data Engineer Python jobs in Texas are:
Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,405 per year, or $62.7 per hour.

Data Engineer (Python + SQL + Snowflake + AWS)

Aivra Health LLC

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 12 days ago

Job description

Data Engineer (Python + SQL + Snowflake + AWS)

🚀 We''re Hiring: Data Engineer

📍 Location: United States Onsite
💼 Employment Type: Full-Time
🕒 Experience: 1-2 Years, s

Job Description

We are looking for a talented Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate should have expertise in Python, SQL, Snowflake, AWS, and ETL processes.

Responsibilities
  • Design and build scalable ETL/ELT pipelines.
  • Develop and optimize data models and workflows.
  • Manage large-scale datasets using Snowflake.
  • Integrate data from multiple sources into cloud platforms.
  • Monitor and improve data pipeline performance.
  • Collaborate with Data Analysts, Data Scientists, and Engineering teams.
  • Ensure data quality, security, and governance.
Required Skills
  • Python
  • SQL
  • Snowflake
  • AWS (S3, Glue, Lambda, Redshift)
  • ETL Pipelines
  • Spark/PySpark
  • Apache Airflow
  • Git
Preferred Skills
  • DBT
  • Kafka
  • Terraform
  • Docker
  • Kubernetes
Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Information Systems, or related field.
  • 3–8 years of Data Engineering experience.
  • Experience working with cloud-based data platforms.
  • Strong analytical and problem-solving skills.

📩 Interested candidates, please share your updated resume.

Apply