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Python Data Developer Jobs in Spring, TX (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 · 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 ...

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

INSPYR Solutions

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3 * Experience in implementing a Data Lakehouse using Apache Iceberg or Delta ...

Talan Group

Data Engineer - Forecasting systems

Houston, TX · On-site

$109K - $131K/yr

We are looking for a Python Data Engineer to join a small team responsible for building and maintaining data pipelines, reporting tools, and forecasting systems. The role focuses on processing large ...

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All JobsPython Data Developer JobsPython Data Developer Jobs in Spring, TX

Python Data Developer information

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How much do python data developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python data developer in Spring, TX is $52.17, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $59.23 per hour, depending on experience, location, and employer.

What is a Python data developer?

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 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 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 Spring, TX?

For Python Data Developer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Spring, TX look for?

The top searched job categories for Python Data Developer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Python Data Developer jobs?

Cities near Spring, TX with the most Python Data Developer job openings:

Python Data Developer jobs near you

Python Developer/Data Engineer

Spring, TX • On-site

HCL Global Systems Inc
IT Services • 1 - 5K employees
Learn more about HCL Global Systems Incexternal

$44.75 - $61.50/hr

Full-time

Re-posted 21 days ago

Job description

Job Summary:
HCL Global Systems Inc is seeking a Senior Python Data Engineer to work closely with reservoir engineering and analyst teams. The role involves productionizing analytical code and automating data manipulations while ensuring compliance with company standards.
Responsibilities:
• Work with different teams to understand existing analytical workflows and models.
• Refactor and productionize Python code mainly for maintainability. Performance and scalability are secondary for this work.
• Develop and deploy automated solutions in Databricks and integrate with Spotfire dashboards.
• Implement best practices for version control, testing, and documentation.
• Ensure data security and compliance with company standards.
Qualifications:
Required:
• Advanced Python (data manipulation, automation, and object-oriented programming).
• Databricks (PySpark and SQL data manipulation), Spotfire (data visualization and integration).
• ETL processes, data pipelines, and cloud-based workflows.
• Git/GitHub.
• Unit testing, CI/CD pipelines.
• Knowledge of reservoir engineering workflows and oil & gas industry data.
• Ability to interpret and refactor code developed by reservoir engineer into robust, production-ready solution.
• 5+ years of professional experience in Python development.
• 3+ years working with data platforms such as Databricks and visualization tools like Spotfire.
• Experience collaborating with engineering or scientific teams to productionize existing code.
• Proven track record of building scalable, maintainable solutions in a data-driven environment.
Preferred:
• Familiarity with Azure cloud environments.
• Experience with performance tuning and optimization of analytical models.
Company:
HCL Global Systems is a staffing and recruiting company providing consulting and business solutions. Founded in 2005, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About HCL Global Systems

Sourced by ZipRecruiter

HCL Global Systems is One of the Best IT Consulting Firm specialized in Application Development, Quality Testing, IT Courses Training, Staffing and Recruitment services. With wide range of experience, We are confident in our ability to help our Customers grow and improve their businesses. More than likely, regardless of the nature and scope of the problem, Our dedicated Team of Professionals can help you to achieve a cost effective business solution.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

2005

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