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Python Data Developer Jobs in North Carolina (NOW HIRING)

... data structures, computer networking and operating systems Development expertise in REST/SOAP/JSON API Development expertise in message bus technologies such as RabbitMQ, ActiveMQ; Apache Kafka ...

Data Engineer

Charlotte, NC · On-site

$111.80K - $134.30K/yr

Charlotte, NC Duration: Long term Skills - Python, Pyspark, GCP, ETL-Big Data/Data Warehouse, Data Analytics, SQL, Git * BS or MS degree in computer science, computer engineering, or other technical ...

ESRI Developer (Python + Unix)

Raleigh, NC · On-site

$48.75 - $67.25/hr

ESRI Developer (Python + Unix) Location: Raleigh, NC (Hybrid: 3 Days a week) Duration: 6 months ... Good understanding of GIS concepts, spatial data structures, and geoprocessing. * Experience with ...

Data Engineer

Charlotte, NC · On-site

$111.80K - $134.30K/yr

Charlotte, NC Fulltime * 7+ years' experience as Data Engineer having experience working with Bigdata Hadoop and data warehousing projects. * Tech stacks includes PySpark, Teradata, Python, autosys ...

Python Tutor

Matthews, NC · Remote

$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 ...

Python Tutor

Durham, NC · Remote

$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 ...

Sr Python Developer

Raleigh, NC

$118.10K - $158.90K/yr

Sr PYTHON DEVELOPER - 15+ Years Experience Location - Raleigh, NC 3 days in client office MINIMUM ... Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data ...

New

Python Tutor

Raleigh, NC · Remote

$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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Python Data Developer information

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 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 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:

Lead Python Developer - Mongo DB

Accord Technologies Inc.

Charlotte, NC • On-site

$136.70K - $168K/yr

Contractor

Posted 14 days ago


Job description

Job Title: Lead Python Developer (MongoDB)
Location: Charlotte, NC (Hybrid/Onsite – In-Person Interview Required)
Duration:12 months
Employment Type: W2 contract
This position requires an in-person interview at our Charlotte, NC office.
Job Description

We are looking for an experienced Lead Python Developer with strong expertise in MongoDB to join our innovative technology team in Charlotte, NC. In this role, you will lead the design, development, and optimization of high-performance Python applications with a focus on NoSQL databases, microservices, and cloud-native solutions. The ideal candidate will have a proven track record in backend development, database architecture, and technical leadership.

Key Responsibilities
  • Lead the design and development of scalable Python-based applications with MongoDB as the primary database.

  • Architect and optimize NoSQL database schemas, queries, and indexing strategies for high performance.

  • Develop RESTful APIs, microservices, and event-driven systems using frameworks like FastAPI, Flask, or Django.

  • Implement data processing pipelines (ETL/ELT) for real-time and batch analytics.

  • Ensure database security, replication, and sharding best practices in MongoDB.

  • Collaborate with frontend developers, DevOps, and cloud engineers to deploy applications on AWS/Azure/GCP.

  • Mentor junior developers, conduct code reviews, and enforce coding standards.

  • Troubleshoot performance bottlenecks and ensure high availability (HA) and disaster recovery (DR) strategies.

  • Work in an Agile/Scrum environment and drive CI/CD automation.

Required Qualifications
  • 9+ years of hands-on Python development experience, with at least 4+ years in MongoDB.

  • Strong expertise in MongoDB (aggregation pipelines, indexing, replication, sharding).

  • Proficiency in Python frameworks (FastAPI, Flask, Django) and asynchronous programming.

  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).

  • Knowledge of event-driven architectures (Kafka, RabbitMQ) and caching (Redis).

  • Familiarity with DevOps practices (CI/CD, IaC, monitoring).

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

  • Strong problem-solving skills and ability to lead a technical team.

Preferred Qualifications
  • MongoDB Certification or AWS/Azure Cloud Certification.

  • Experience in financial services, banking, or fintech.

  • Knowledge of Big Data technologies (Spark, Hadoop).