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Python Data Developer Jobs in North Carolina (NOW HIRING)

Application Programmer III Location: Charlotte, NC & Plano, TX Duration: Contract - 12 months Pay ... Hands-on experience with Hadoop ecosystem tools such as Sqoop, Impala, Kafka, and Python/Spark ...

Big Data Developer

Mooresville, NC

$50.25 - $65/hr

Big Data Developer Location: MOORESVILLE, NC Duration: 4+ Months Rate: Open (DOE) SUMMARY of SKILL ... and Python 5+ years' experience with using Configuration management tools like CVS, SVN, GIT. 5+ ...

Application Programmer III - Python/Spark/Airflow Location: Charlotte, NC / Addison, TX Duration ... Design, develop, and maintain data processing and ML pipelines using Python, Spark, and Airflow.

Python Developer Onsite Role Charlotte NC Key Responsibilities • Build and maintain large-scale data processing pipelines using Apache Spark for batch and streaming data. • Design and implement ...

Python Developer Onsite Role Charlotte NC Key Responsibilities • Build and maintain large-scale data processing pipelines using Apache Spark for batch and streaming data. • Design and implement ...

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Python Developer Charlotte, NC (onsite 3x a week) 1 year + contract Must Have: Python Pyspark ETL ... You will work closely with data scientists, software engineers, and DevOps team to ensure robust ...

Data Engineer - Python / PySpark

Charlotte, NC · On-site

$111K - $134K/yr

Genesis10 is currently seeking a Data Engineer - Python / PySpark for a contract position with a ... Databricks, Snowflake, or BigQuery • CI/CD & DevOps: Git, pipelines, automation, release ...

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 ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Join a passionate, tight-knit, and supportive team as a Big Data Developer/Engineer at a Global ... Scala, Python, PHP, or Shell Scripting * Proficiency with the Linux operating system * Experience ...

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

The ideal candidate will be responsible for guiding a team of developers, architecting robust data models, and building high-performance, secure APIs and microservices leveraging Python and MongoDB.

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Python Developer

Charlotte, NC · On-site

$72 - $74/hr

Python Developer Location: Hybrid/Charlotte, NC Contract Duration: 12 Months Summary: We are ... This role focuses on backend systems, APIs, and data-driven applications to support diverse ...

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Python Developer

Charlotte, NC · On-site

$72 - $74/hr

Python Developer Location: Hybrid/Charlotte, NC Contract Duration: 12 Months Summary: We are ... This role focuses on backend systems, APIs, and data-driven applications to support diverse ...

Genesis10 is currently seeking a Data Engineer - Python / PySpark for a contract position with a ... CI/CD & DevOps: Git, pipelines, automation, release management * Data governance/security ...

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Python Developer Location: Charlotte, NC (Hybrid - 2 Days Onsite a week) Duration: 12 Months ... APIs, and data-driven applications to support a variety of technical and business needs.

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Python Data Developer information

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 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:
Senior Python Data Engineer #3606832

Senior Python Data Engineer #3606832

Axiom Path

Charlotte, NC • Hybrid

$75 - $80/hr

Full-time

Posted 21 days ago


Job description

Be Part Of A High-Performing Team:

Join a technology team supporting a leading financial services environment where data-driven systems, scalable applications, and reliable engineering practices are critical to business operations. This team works across technical and business groups to build solutions that collect, process, and deliver large volumes of data for analysis, reporting, and downstream application needs. The environment is collaborative, fast-moving, and suited for a senior engineer who can work independently while partnering closely with cross-functional stakeholders.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Charlotte, NC, supporting a long-term technical initiative within a financial services technology group. The role offers exposure to back-end engineering, ETL development, APIs, cloud data tooling, and enterprise-scale data workflows.

How You Will Make An Impact

  • Build and maintain scalable data pipelines that gather, transform, store, and process large volumes of data.
  • Develop server-side applications, APIs, scripts, and back-end components using Python and C#.
  • Support ETL development, data quality checks, and optimization of data storage and processing workflows.
  • Integrate databases, third-party services, cloud data tools, and internal APIs into reliable application solutions.
  • Write clean, efficient, well-documented code and participate in unit testing, debugging, and code reviews.
  • Collaborate with business and technical teams to gather requirements, implement solutions, and support CI/CD delivery practices.

Are you an experienced Python data engineering professional ready to make an impact?

  • 10+ years of senior-level software engineering, data engineering, or back-end development experience.
  • Strong hands-on Python development experience, ideally in data-heavy, API-driven, or enterprise back-end environments.
  • Strong SQL skills with experience working across relational databases and large datasets.
  • Experience developing ETL pipelines and supporting data quality, transformation, and storage optimization.
  • Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or comparable platforms.
  • C# development experience for server-side applications, APIs, or enterprise integrations.
  • Experience writing unit tests, debugging applications, participating in code reviews, and supporting CI/CD workflows.
  • Strong analytical thinking, documentation discipline, and ability to work independently or within Agile teams.
  • Financial services or capital markets experience is a plus.

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