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

Experience of 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and ... DevOps: Exposure to concepts and enablers - CI/CD platforms, version control systems (e.g. GIT ...

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Python Developer: Dallas, TX - Experience in Python development - Experience in setting up MCP Server and make API calls & DB Calls - Knowledge in Data Modeling, MYSQL, Databricks

Python Developer II

Plano, TX · On-site +1

$47 - $64.75/hr

Scalable data application design; Containerization including Docker and Kubernetes; Integration with CICD pipelines; Testing frameworks including PyTest; Data libraries including Pandas, NumPy and ...

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

Python Developer II

Plano, TX · On-site +1

$47 - $64.75/hr

Scalable data application design; Containerization including Docker and Kubernetes; Integration with CICD pipelines; Testing frameworks including PyTest; Data libraries including Pandas, NumPy and ...

Python Developer

Dallas, TX · On-site

$40 - $60/hr

Python developer, C# ,Informatica, SQL, Snowflake, python They will be evaluating a given product ... Worked on NetSuite ERP system for setting up data transfer and invoice generation using SOAP Web ...

Python Developer II

Plano, TX · On-site +1

$47 - $64.75/hr

Scalable data application design; Containerization including Docker and Kubernetes; Integration with CICD pipelines; Testing frameworks including PyTest; Data libraries including Pandas, NumPy and ...

Python Streamlit Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Title: Python Streamlit Developer Location: Dallas, TX 4 days office in a week Face to face ... Integrate data from sources such as APIs Jira, GraphQL, databases (SQL Server, Oracle) * Automation ...

Python Developer

Plano, TX · On-site

$48 - $66.25/hr

Python Developer Location: Richmond, VA or Plano, TX Work Model: Hybrid - 3 days onsite per week ... Work with relational and NoSQL databases for data storage and retrieval * Integrate CI/CD pipelines ...

Python LLM Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Role Python LLM Developer Location: Irving, TX ( day1 onsite, hybrid ) Python LLM Python LLM ... Data Management: Skills in collecting, preprocessing, and handling datasets. AI Concepts:

Lead Data Engineer

Irving, TX · On-site

$94K - $124K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... SQL, Python Data governance, security, and compliance concepts Data Ingestion Incremental and CDC ...

Lead Data Engineer

Irving, TX · On-site +1

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... SQL, Python * Data governance, security, and compliance concepts * Data Ingestion * Incremental and ...

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Lead Data Engineer

Irving, TX · Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... SQL, Python * Data governance, security, and compliance concepts * Data Ingestion * Incremental and ...

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Python Data Developer information

See Richardson, TX salary details

$12

$53

$78

How much do python data developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python data developer in Richardson, TX is $53.24, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $60.48 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 Richardson, TX? For Python Data Developer jobs in Richardson, TX, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Richardson, TX look for? The top searched job categories for Python Data Developer jobs in Richardson, TX are:
What cities near Richardson, TX are hiring for Python Data Developer jobs? Cities near Richardson, TX with the most Python Data Developer job openings:

Python Engineer

Nastech Global

Irving, TX • On-site

Full-time

Re-posted 3 days ago


Job description

Job Title: Python Engineer

Location: Irving , TX / Tampa,FL / Jersey City , NJ(onsite)

Job Type: Full time

Job Description
Must Have Technical/Functional Skills
• Design  , build  and maintain scalable  pipelines using Python/Databricks  
• Leverage Spark and SQL to process and transform large scale datasets 
• Develop and optimize ELT/ETL processes for high volume of data workflows  
• ETL: Hands on experience of building data pipelines. Proficiency in data integration platforms such as Apache Spark or Talend
• Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing
• Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational Oracle database design
• Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
• Languages: Proficient in any programming languages commonly used in data engineering such as Python or Scala
• DevOps: Exposure to concepts and enablers - CI/CD platforms, version control systems (e.g. GIT), automated quality control management
• Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls
Roles & Responsibilities
•  Design  , build  and maintain scalable  pipelines using Python/Databricks  
• Leverage Spark and SQL to process and transform large scale datasets 
• Develop and optimize ELT/ETL processes for high volume of data workflows  
• ETL: Hands on experience of building data pipelines. Proficiency in data integration platforms such as Apache Spark or Talend
• Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse.
• Write complex SQL queries and PL/SQL scripts to perform data manipulation, validation, and transformation.
• Develop and maintain data pipelines using Python and related libraries.
• Optimize ETL processes and data pipelines for performance and scalability.
• Collaborate with data analysts and other stakeholders to understand data requirements and develop solutions to meet their needs.
• Implement data quality checks and monitoring to ensure data accuracy and consistency.
• Troubleshoot and resolve data-related issues.
• Create and maintain technical documentation for ETL processes, data pipelines, and database solutions.
• Stay up-to-date with the latest trends and technologies in data management and analytics.