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Python Data Developer Jobs in Raleigh, NC (NOW HIRING)

Oraapps Inc

Senior Python Developer

Raleigh, NC · On-site

$118K - $158K/yr

Senior Python Data Migration Developer Location: On-site - Raleigh, NC Contract position Summary We are seeking a Senior Python Data Migration Developer to design, develop, and support data pipelines ...

New

Infosys Limited

AWS Python Data Architect

Raleigh, NC · On-site

$150 - $190/hr

Experience in AWS Glue & ETL Engineering - Designing scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python. * Experience in Data Warehouse Design - Dimensional modeling, star/snowflake ...

Dlapiper

Data Engineer

Raleigh, NC

$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 ...

Innosoul inc

Python Developer

Raleigh, NC · On-site

$48.75 - $67.25/hr

Job ID: NC-805159 Hybrid/Local Python Developer (15+) with Power BI admin, SQL Server/PostgreSQL/Oracle/MySQL/Ingres, SOAP/REST, microservices, data conversion/governance, legacy migration ...

New

TEKsystems

Principal Data Scientist

Raleigh, NC

$75 - $90/hr

Master's or PhD Preferred - 6-12+ years in Data Science / ML Engineering, with deep experience in ... Strong coding skills in Python 7+ years Be a natural problem solver, able to take a lead in ...

Varsity Tutors

Python Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Advanced proficiency in Python and SQL. * Advanced experience designing, developing, orchestrating ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Advanced proficiency in Python and SQL. * Advanced experience designing, developing, orchestrating ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Advanced proficiency in Python and SQL. * Advanced experience designing, developing, orchestrating ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and ... AWS Certified Cloud Practitioner, AWS Certified Developer - Associate, AWS Certified Data Engineer ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions. * Experience utilizing modern data engineering tools and frameworks such as ...

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Python Data Developer information

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$56

$83

How much do python data developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python data developer in Raleigh, NC is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 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 Raleigh, NC?

For Python Data Developer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Raleigh, NC look for?

The top searched job categories for Python Data Developer jobs in Raleigh, NC are:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Raleigh, NC as of August 2026, with employment types broken down into 6% Internship, 78% Full Time, 8% Part Time, and 8% Contract. Highlights an 71% In-person, 6% Hybrid, and 23% Remote job distribution, with an average salary of $118,528 per year, or $57 per hour.

Senior Python Developer

Oraapps Inc

Raleigh, NC • On-site

$118K - $158K/yr

Other

Posted yesterday

New

Job description

Senior Python Data Migration Developer

Location: On-site – Raleigh, NC

Contract position

Summary

We are seeking a Senior Python Data Migration Developer to design, develop, and support data pipelines, dashboards, integrations, and migration processes across enterprise systems. The successful candidate will support data modernization initiatives by developing Python-based migration and ETL solutions, optimizing SQL queries, building Power BI reporting solutions, and integrating data across legacy and modern platforms.

Required Qualifications

  • 7+ years of hands-on Python development experience.
  • 5+ years of Power BI experience.
  • 7+ years of strong SQL and relational database experience.
  • 7+ years of data migration or data conversion project experience.
  • 7+ years of experience writing and optimizing SQL queries.
  • 5+ years of SOAP/REST API, backend architecture, and microservices experience.
  • 7+ years of experience with data governance, security, and compliance requirements.
  • Experience with relational databases such as SQL Server, PostgreSQL, Oracle, MySQL, or Ingres.
  • Experience developing and maintaining ETL pipelines and data migration scripts.
  • Strong troubleshooting and analytical skills.
  • Experience with Zope application server development/maintenance.
  • Experience with Plone CMS applications development/maintenance.
  • Strong communication and documentation skills.

Responsibilities

  • Develop and maintain Python data migration scripts, ETL pipelines, and automation workflows.
  • Design, build, and optimize data models for reporting and analytics.
  • Create interactive Power BI dashboards and reports.
  • Perform data extraction, transformation, validation, and loading across databases, APIs, and enterprise systems.
  • Write and optimize SQL queries, stored procedures, and database objects.
  • Integrate data from cloud applications, on-premises systems, databases, APIs, and flat files.
  • Design and implement data migration and conversion solutions.
  • Validate migrated data and troubleshoot data quality issues.
  • Reconcile datasets and implement data integrity best practices.
  • Automate recurring data processing and reporting activities.
  • Maintain documentation for data processes, source mappings, and migration procedures.
  • Participate in architecture, design, and planning sessions for modernization projects.
  • Collaborate with business teams to translate reporting and data requirements into technical solutions.

Preferred

  • 5+ years of legacy system migration experience.
  • 5+ years of large-scale migration or modernization initiatives.
  • 5+ years of Java development experience.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Power BI administration, workspaces, gateways, and deployment strategies.
  • Git/Subversion and CI/CD experience.
  • Perl scripting experience.
  • Experience with complex enterprise data environments.

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