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Python Data Developer Jobs in Texas (NOW HIRING)

Vitol

Python Data Engineer

Houston, TX · On-site

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Experience with Data Engineering and building data pipelines * Experience scraping websites with ...

Vitol

Python Data Engineer

Houston, TX

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Experience with Data Engineering and building data pipelines * Experience scraping websites with ...

LTIMindtree

Big DATA Developer with Python

Irving, TX · On-site

$48.25 - $66.50/hr

Big DATA Developer with Python Work Location Irving TX * Seeking a Senior Python Data Engineer with 3 to 5 years of experience skilled in Apache Spark and Python to design and implement scalable data ...

Refinere

Python Data Wrangler Internship

Dallas, TX · On-site

$49.75 - $68.50/hr

These projects will entail iterative programming aspects that shed light on data quality, consistency, and usability. Ideal candidates will possess strong problem solving and intermediate python ...

Refinere

Python Data Wrangler Internship

Texas, IL · On-site +1

$49.75 - $68.50/hr

These projects will entail iterative programming aspects that shed light on data quality, consistency, and usability. Ideal candidates will possess strong problem solving and intermediate python ...

NAVA Software Solutions

Sr Data Developer

Houston, TX · On-site

Senior Data Developer Location: Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the ... Experience working with Python to perform data analysis, data transformations, and data cleansing

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Python Data Developer information

What are the key skills and qualifications needed to thrive as a Python Data Developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Texas? For Python Data Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Texas look for? The top searched job categories for Python Data Developer jobs in Texas are:
What cities in Texas are hiring for Python Data Developer jobs? Cities in Texas with the most Python Data Developer job openings:
Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Texas as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Senior Python Data Engineer

Purple Drive Technologies

Dallas, TX • On-site

$120.20K - $161.70K/yr

Full-time

Posted yesterday

Job description

Overview:
Job Title
Senior Python Data Engineer
Location
Dallas, TX (Hybrid - 3 days/week onsite)
Experience
8-10 years total | 5+ years hands-on Python
Job Overview
We are looking for a Senior Python Data Engineer with strong experience in building enterprise-scale automation and data solutions. The ideal candidate will work closely with business stakeholders to convert manual workflows into robust, scalable, and fault-tolerant automated processes within complex data environments.
Key Responsibilities
  • Design, develop, and maintain Python-based automation solutions in enterprise environments
  • Automate business processes with focus on reliability, performance, and scalability
  • Build and optimize data pipelines integrating Python with SQL Server and Snowflake
  • Write efficient and optimized SQL queries, stored procedures, and performance tuning
  • Implement error handling, logging, scheduling, and monitoring for automation workflows
  • Integrate Python solutions with APIs, databases, and cloud services
  • Collaborate with business and technical teams to translate requirements into automation solutions
  • Follow best practices for version control, CI/CD, and secure deployments
Required Technical Skills
Primary Skills
  • Python (5+ years professional experience)
    • pandas, SQLAlchemy, requests, PyTest
    • Automation scripting, workflow orchestration
  • SQL Server
    • Advanced SQL queries, stored procedures, performance troubleshooting
  • Snowflake
    • Snowflake SQL
    • Data pipeline integration with Python
Secondary / Supporting Skills
  • Git-based version control
  • CI/CD pipelines (enterprise deployment practices)
  • Experience working in large-scale data environments
  • Strong debugging, performance optimization, and documentation skills
Nice to Have
  • Experience with AWS or hybrid cloud environments
  • Integrating Python automation with cloud-based services
  • Exposure to secure enterprise deployment models
Competencies
  • Digital Competency: Python
  • Strong problem-solving and analytical skills
  • Ability to work independently and in cross-functional teams
Work Model
  • Hybrid - 3 days per week onsite in Dallas, TX

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