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Python Data Developer Jobs in Spring, TX (NOW HIRING)

... developer tooling. * Perform high-level technical troubleshooting across the data platform ... Requirements: * 6 to 15 years of professional, enterprise-level Python development experience ...

... developer tools and Python ETL toolkit, including standardization and consolidation of core ... Data Engineering and building data pipelines • Experience scraping websites with Requests ...

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

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

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

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Knowledge of AWS Data Source * Knowledge of Python language. Job Requirements updated JD received 6 ... Passionate about programming. * Good design skills * Good understanding of OOPS and experience in ...

Python PySpark/ Data Engineer Location: Houston, TX H1B Transfer will work, but local candidate will get 1st preference. 6+ years of professional work experience designing and implementing data ...

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Python Data Developer information

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How much do python data developer jobs pay per hour?

As of Jun 19, 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 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 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 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 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:
Infographic showing various Python Data Developer job openings in Spring, TX as of June 2026, with employment types broken down into 1% Locum Tenens, 83% Full Time, 2% Part Time, 5% Temporary, 7% Contract, and 2% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $108,507 per year, or $52.2 per hour.
Python Data Engineer

Other

Posted 17 days ago


Job description

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to expand its data assets and directly elevate its analytical and trading capabilities. In this role, you will sit at the intersection of engineering and the business — working shoulder-to-shoulder with traders, researchers, analysts, and data scientists to define requirements and deliver production-grade data solutions. You will own the design and implementation of modular, reusable data ingestion pipelines, ensuring code quality and architectural consistency across a centralized codebase. This is a high-impact individual contributor role for an engineer who thrives in a fast-paced, collaborative environment and wants their work to have a measurable effect on real trading decisions.

Key Responsibilities:

  • Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and prioritize data requirements, translating complex business needs into functional, production-ready Python code.

  • Design, build, and maintain robust ETL and data ingestion pipelines using Python and Pandas, ensuring data accuracy, reliability, and performance at enterprise scale.

  • Write modular, reusable components for data interaction that conform to existing architecture patterns, coding conventions, and centralized codebase standards.

  • Coordinate efficiently with a globally distributed team of developers and business sponsors to deliver data solutions that span time zones and organizational boundaries.

  • Participate actively in the internal Python development community, acting as a technical liaison and working to standardize and consolidate core functionality within shared developer tooling.

  • Perform high-level technical troubleshooting across the data platform, diagnosing issues within a modular component architecture and driving them to resolution with minimal disruption to downstream consumers.

Requirements:

  • 6 to 15 years of professional, enterprise-level Python development experience — candidates must be able to demonstrate a strong tenure record at one or a small number of employers.

  • Deep, hands-on proficiency with the Pandas library for data manipulation, transformation, and pipeline development in a production environment.

  • Proven experience building and maintaining ETL and data ingestion pipelines at enterprise scale, with a track record of delivering clean, well-architected code.

  • Background in financial trading, commodities, oil and gas, or a large banking/financial services firm — this domain context is essential for working effectively alongside trading and research teams.

  • Demonstrated ability to gather technical requirements directly from non-engineering stakeholders such as traders, analysts, and researchers, and translate those needs into reliable technical solutions.

  • Strong collaborative instincts and the communication skills to work across global development teams, contributing to shared codebases and upholding engineering standards.

Role Details:

  • Employment Type: Direct Hire

  • Location: Houston, Texas 77098

If you are a Python Data Engineer with deep financial or energy trading domain experience and a passion for building data infrastructure that drives real business decisions, we encourage you to apply.


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