1

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

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

... working with various data frameworks and tools such as Python, Spark, and Databricks. Key ... Data Engineering and Preparation: * Extend and augment company data with third-party data to enrich ...

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 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

Dallas, TX · On-site

$100 - $125/hr

* Design, develop, test, and maintain scalable Python applications and services. * Build and support ... Participate in the design and implementation of data pipelines, automation frameworks, and ...

Jr. Python Developer

Plano, TX · On-site

$48.50 - $66.75/hr

Job Summary : eTeam is looking for a Jr. Python Developer to join their team in Plano, TX. The role ... API and data pipeline integration using Python frameworks like Django, FastAPI or Flask. • ...

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

We are seeking a highly skilled and experienced Senior Python Developer. The ideal candidate will ... Hands-on experience with Grafana for monitoring and data visualization. * Solid understanding of ...

Python Developer

Dallas, TX

$49.75 - $68.50/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... data pipelines, automation frameworks, and integration solutions. o Support AI/ML initiatives by ...

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 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 ...

## Lead Developer - Python , Gen AIApplylocations: Irving, Texastime type: Full timeposted on: Posted ... You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ...

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 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 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 ...

Showing results 41-60

Python Data Developer information

See Coppell, TX salary details

$12

$54

$79

How much do python data developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python data developer in Coppell, TX is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $61.49 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 Coppell, TX?

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

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

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

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

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

Infographic showing various Python Data Developer job openings in Coppell, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,564 per year, or $54.1 per hour.

Machine Learning Engineer - NJ

Photon

Addison, TX • On-site

$54 - $71.50/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Summary:

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and engineering teams to solve complex business problems, identify data-driven opportunities, and create personalized experiences for customers. You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.

Key Responsibilities: Analytics Model Development:

  • Analyze use cases and design appropriate analytics models using statistical and machine learning algorithms tailored to specific business requirements.
  • Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
  • Apply expertise in data mining and machine learning techniques, including  forecasting, prediction, segmentation, recommendation, and fraud detection.

Data Engineering and Preparation:

  • Extend and augment company data with third-party data to enrich analytics capabilities.
  • Enhance data collection procedures to include necessary information for building analytics systems.
  • Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy).

Machine Learning Model Implementation:

  • Implement machine learning models, considering both performance and scalability using tools like PySpark in Databricks.
  • Design and build infrastructure to facilitate large-scale data analytics and experimentation.
  • Work with tools like Jupyter Notebooks for data exploration and model development.

What We're Looking For:

  • Educational Background: Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A PhD is preferred but not necessary.
  • Experience:
    • At least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms such as classification and regression analysis.
    • High-level knowledge of analytics use cases such as language analysis, assortment optimization, promotional planning, dynamic pricing, markdown optimization, labor scheduling, and optimization.
  • Technical Skills:
    • Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
    • Proficiency in using analytics platforms like Databricks for large-scale data processing.
    • At least 4 years of continuous experience with Spark, particularly PySpark implementation.
    • Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.