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Python Data Developer Jobs in North Carolina (NOW HIRING)

Data Engineer with Python and SQL

Charlotte, NC ยท On-site

$111K - $134K/yr

Hiring Alert | Data Engineer - Python & SQL Location: Charlotte, NC (Onsite) Employment Type: Full-Time Experience Required: 8+ Years Visa Type: USC / GC Only Must-Have Skills: * Python & SQL * Data ...

Python Developer

Charlotte, NC ยท On-site

$49 - $67.75/hr

Python Developer Location: Charlotte, NC (Hybrid) Duration: Long-Term Contract Job Summary ... Solid understanding of object-oriented programming, data structures, and algorithms. * Experience ...

Python Developer

Raleigh, NC ยท 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

Python Developer

Charlotte, NC ยท On-site

$49 - $67.75/hr

Role: Python Developer Location: Can sit hybrid 3 times a week in Jersey City or Charlotte ... CI/CD pipeline Experience with Bash scripting Experience with Data preparation and basics of Pandas ...

Python developer

Charlotte, NC ยท On-site

$49 - $67.75/hr

Sr Python developer Work Location : Charlotte NC Face to Face interview needed in charlotte NC 12 ... data analytics, or enterprise platforms. Key Responsibilities: * Design, develop, and maintain ...

Senior Data Engineer / ETL Developer - NC

Charlotte, NC ยท On-site

$53 - $57/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Developer role supporting the Home Lending Data & Insights team. The selected consultant will ... Develop ETL solutions using Ab Initio, Python, PySpark, SQL, and PL/SQL. * Review technical designs ...

Senior Data Engineer / ETL Developer - Onsite

Charlotte, NC ยท On-site

$48.91 - $56.91/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop ETL solutions using Ab Initio, Python, PySpark, SQL and PL/SQL * Review technical designs ... Integrate, cleanse, normalize, and transform data from multiple mortgage-related systems * Partner ...

Showing results 21-40

Python Data Developer information

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 North Carolina?

For Python Data Developer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in North Carolina look for?

The top searched job categories for Python Data Developer jobs in North Carolina are:

What cities in North Carolina are hiring for Python Data Developer jobs?

Cities in North Carolina with the most Python Data Developer job openings:

Data Engineer with Python and SQL

Northern Base

Charlotte, NC โ€ข On-site

$111K - $134K/yr

Full-time

Posted 4 days ago


Job description

Hiring Alert | Data Engineer – Python & SQL

Location: Charlotte, NC (Onsite)
Employment Type: Full-Time
Experience Required: 8+ Years
Visa Type: USC / GC Only

Must-Have Skills:

  • Python & SQL
  • Data Ingestion & ETL
  • API Development & Integration
  • MongoDB
  • Oracle & Relational Databases
  • Elasticsearch or Solr
  • Vector Databases
  • Linux/Bash
  • OpenShift Containers
  • Git & Jenkins
  • CI/CD Pipelines
  • Data Modeling

Secondary Skills:

  • FastAPI
  • Data Quality & Validation
  • Performance Tuning

Key Responsibilities:

  • Design and build large-scale data pipelines using Python
  • Develop and support data ingestion, processing, indexing, and retrieval pipelines for structured and unstructured data
  • Lead the architecture of cloud-native data lakes and data warehouses
  • Optimize big data processing jobs for performance and cost efficiency
  • Establish data governance, data quality, and monitoring frameworks
  • Partner with data scientists to deploy machine learning models
  • Mentor junior data engineers and lead technical code reviews

Education:

  • Bachelor's or Master's Degree in Computer Science or related field