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Python Data Developer Jobs in South Carolina (NOW HIRING)

Bespoke Labs

Data Engineer

Charleston, SC · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Rock Hill, SC · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Conway, SC · On-site

$106K - $127K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Phyton Talent Advisors

Developer

Fort Mill, SC · On-site

Our client is seeking an experienced Python Developer with strong full-stack expertise, including ... This role will collaborate closely with data modelers, analysts, and business stakeholders to ...

SynergisticIT

Machine Learning Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

They want programmers who understand data, write clean Python code, evaluate models, connect AI work to applications, and explain results clearly. For entry-level candidates, practical proof matters.

Brookfield Properties

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and ... DevOps and CI/CD practices, and ensuring data quality and governance standards are met. The ...

Brookfield Properties

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and ... DevOps and CI/CD practices, and ensuring data quality and governance standards are met. The ...

Artefact

Jr Data Analyst - (Canada-based)

North, SC · On-site

We design data-based solutions to meet our clients' specific needs, always conceived with a ... Programming languages: Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure ...

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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 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:
Python Data Developer jobs near you

Data Engineer

Bespoke Labs

Charleston, SC • On-site

$107K - $128K/yr

Full-time

Posted 23 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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