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Python Data Developer Jobs in South Carolina (NOW HIRING)

AWS Data Engineer

Lake Wylie, SC · On-site

$109K - $131K/yr

Expertise in DBT, NodeJS and Python. * Expertise in Informatica, Power BI, DataStage, Database ... Knowledge of DevOps processes, Infrastructure as Code and their purpose. * Good understanding of ...

Data Engineer AWS OpenSearch

Fort Mill, SC · On-site

$100K - $120K/yr

Develop ETL/ELT pipelines using Python, SQL, and AWS services such as Glue, Lambda, and EMR ... AWS Certification (Solutions Architect, Data Analytics, or Developer) is a plus. * Experience with ...

$105K - $127K/yr

\n \n \n Data Engineer Columbia, SC $100,000 ShortList is looking for a Data Engineer to underpin a ... Minimum of 3 years experience of Python and Data Automation \n * Experience with SQL Server Agent ...

Snowflake Data Engineer - DBT

Fort Mill, SC · On-site

$100K - $120K/yr

Python - Strong programming skills in Python are required for developing data pipelines data transformations and automation tasks Key Responsibilities * Design develop and maintain data pipelines and ...

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

... Python, SQL, and cloud services; set and enforce engineering standards; and engage stakeholders to ... Data Engineer III leads migrations to modern cloud warehouses, defines and enforces best practices ...

Snowflake Data Engineer - DBT

Columbia, SC · Hybrid

$105K - $127K/yr

This role involves working closely with data engineers analysts and other IT professionals to ... Experience with Python or other scripting languages * Excellent problemsolving and analytical ...

Clinical Data Scientist

Spartanburg, SC · On-site

$140K - $145K/yr

Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates ... Experience programming with Python or Go Lang. Discretionary Judgement * Uses independent judgment ...

Design develop and maintain data pipelines and ETL processes using Snowflake AWS services Python ... Collaborate with data engineers and analysts to understand data requirements * Develop and manage ...

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 South Carolina?

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

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

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

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

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

AWS Data Engineer

Lake Wylie, SC • On-site

2T Consulting
IT Services • 51 - 200 employees

$109K - $131K/yr

Full-time

Posted 13 days ago


Job description

Must Have Skills
  • Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and batch services.

  • Experience in Snowflake and Data Build Tool.

  • Expertise in DBT, NodeJS and Python.

  • Expertise in Informatica, Power BI, DataStage, Database, Cognos.

  • Knowledge on AI

  • AWS services AI skills – Build AI agents, Gen AI

  • Gitlab CI/CD pipeline

Detailed Job Description:
  • Strong experience in AWS services AWS services ( hands-on experience) - Data engineering skills (Glue, ECS, Data pipeline etc.,) primarily serverless, databases, storage services, container services, schedulers, and batch services.
  • Experience in Snowflake and Data Build Tool.
  • Expertise in DBT, NodeJS and Python.
  • Expertise in Informatica, Power BI , DataStage, Database, Cognos.
  • Knowledge on AI
  • AI skills – Build AI agents, Gen AI
  • Gitlab CI/CD pipeline
  • Should have good mix of Data engineering and AI work.
  • Proven experience in leading teams across locations.
  • Knowledge of DevOps processes, Infrastructure as Code and their purpose.
  • Good understanding of data warehouses, their purpose, and implementation.
Top 3 responsibilities you would expect the Subcon to shoulder and execute
  • Should have good expertise in delivery coordination Should be able to manage complex software application development and support projects
  • Should be able to manage offshore resources also.
  • Should be able to work with other onsite team members and client Good communication skills.