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Python Data Developer Jobs in Wilmington, DE (NOW HIRING)

The Hartford

Application & Data Developer

Wayne, PA · On-site

$85K - $110K/yr

Data Engineering (SQLbased ingestion and transformation for our data warehouse) * Rapid development ... Strong Python skills, including automation and data ingestion patterns. * Experience using ...

Prophecy Technologies

Data Engineer (AWS-Python)

Malvern, PA · On-site

$112K - $134K/yr

We are seeking a Senior Data Engineer with strong hands-on experience in building AWS-based data pipelines. The ideal candidate will have deep expertise in Python, AWS Glue, PySpark, and cloud-native ...

Dlapiper

Data Engineer

Philadelphia, PA

$115K - $138K/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 ...

Dlapiper

Data Engineer

Wilmington, DE

$111K - $133K/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 ...

Brown Brothers Harriman

Python Developer I

Philadelphia, PA · On-site

$50.75 - $70/hr

Join us as a Python Developer! Brown Brothers Harriman is currently recruiting Senior Python ... You will build interactive data reporting and visualizations using Plotly Dash, D3.js, AG Grid, and ...

SynergisticIT

Python Developer

Philadelphia, PA · On-site

$50.75 - $70/hr

Analyze and organize raw data Build data systems and pipelines Conduct complex data analysis and ... Python. Good grasp of web frameworks. Object relational mappers. Road to data science. Machine ...

Pyramid Consulting

API Developer

Philadelphia, PA · On-site

API Developer Immediate need for a talented API Developer with experience in the Telecom Industry ... Python Data Structures * Design Patterns * Django Web Development Framework * Version Control

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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 27, 2026, the average hourly pay for python data developer in Wilmington, DE is $56.88, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $64.62 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 Wilmington, DE? For Python Data Developer jobs in Wilmington, DE, the most frequently searched job titles are:
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Python Data Developer jobs near you

Python/ Data Engineer

Texas State Library and Archives Commision

Wilmington, DE • On-site

Full-time

Posted 9 days ago

Job description

Title: Python/ Data Engineer (Visa Independent)
Location: Wilmington, DE (Day1 Onsite)
Client: Mphasis
Job Description:
  • 9+ years of professional work experience designing and implementing data pipelines in a cloud environment is required.
  • 5+ years of experience migrating/developing data solutions in the AWS cloud is required.
  • 2+ years of experience building/implementing data pipelines using Databricks or similar cloud database.
  • Expert level knowledge of using SQL to write complex, highly optimized queries across large volumes of data.
  • Hands-on object-oriented programming experience using Python is required.
  • Professional work experience building real-time data streams using Spark and Experience in Spark.
  • Knowledge or experience in architectural best practices in building data lakes

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