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Data Engineer Python Jobs in Texas (NOW HIRING)

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental ... Any experience in automation (Python), CI/CD, or logistics industry is a plus. Personality-wise we ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala Required * Hands on RDBMS and data warehousing experience (data modeling, analysis, programming, stored ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Utilize Databricks with Spark and Python/Scala for data transformation and analytics * Manage ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This is a hands-on engineering role with a focus on data modeling, transformation, and scalability ... Use Python to build reusable data processing components, automate workflows, and integrate with ...

Hadoop Data Engineer responsible for designing, developing, and maintaining large-scale data ... Apache Spark (Scala/Python) * SQL & NoSQL databases * ETL tools (Informatica, Talend, or similar)

Data Engineer

Mercedes, TX · On-site

$107K - $129K/yr

Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation * Engineer solutions on Databricks or Snowflake for large-scale data ...

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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 9, 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:
Infographic showing various Data Engineer Python job openings in Texas as of July 2026, with employment types broken down into 64% Full Time, 2% Part Time, and 34% Contract. Highlights an 84% In-person, 6% Hybrid, and 10% Remote job distribution, with an average salary of $130,405 per year, or $62.7 per hour.
Data Engineer

$100 - $120K/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

-Title: Data Engineer

-Pay Range: $100-$120K

-Location: Dallas-Fort Worth, TX

-Benefits: Medical, Dental, Vision, 401(k)

We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will need is someone who brings experience in the Microsoft stack to build/engineer and maintain our data pipelines. Tools needed to optimize this will include SQL, ETL packages, SSIS. and cloud experience (Azure preferred). This person will also need experience in data mapping, data modeling, data warehousing, and setting data quality/governance around the environment. In addition to pipeline work, our Data Engineer will then need to develop/maintain their "actionable dashboards" primarily in Power BI (Fabric, Tableau, Qlik alternatives). Any experience in automation (Python), CI/CD, or logistics industry is a plus.

Personality-wise we need someone who is curious-minded and can critically think. A go-getter who is eager to learn through success or failure.

Top Skills:

-3-6 Years of Data Engineering (data pipeline builds/support, data modeling, data mapping, data warehousing)

-SQL

-ETL/SSIS

-Fabric/Power BI (Tableau or Qlik alternatives)

-Azure

Plus:

-Python

-CI/CD

-Industry knowledge