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Python Data Developer Jobs in South Carolina (NOW HIRING)

Sr. Data Engineer

Spartanburg, SC

$84.80K - $115.20K/yr

Senior Data Engineer Location: Spartanburg, SC (In-Office) Employment Type: Full-Time About the ... Strong SQL and Python skills, with experience in building complex transformations. * Proven ability ...

Sr. Data Engineer

Spartanburg, SC

$84.80K - $115.20K/yr

Senior Data Engineer Location: Spartanburg, SC (In-Office) Employment Type: Full-Time About the ... Strong SQL and Python skills, with experience in building complex transformations. * Proven ability ...

Sr. Data Engineer

Spartanburg, SC · On-site

$103.60K - $140.70K/yr

Description Senior Data Engineer Location: Spartanburg, SC (In-Office) Employment Type: Full-Time ... Strong SQL and Python skills, with experience in building complex transformations. * Proven ability ...

Sr. Data Engineer

Spartanburg, SC

$103.60K - $140.70K/yr

Description Senior Data Engineer Location: Spartanburg, SC (In-Office) Employment Type: Full-Time ... Strong SQL and Python skills, with experience in building complex transformations. * Proven ability ...

Data Engineer - Healthcare

Charleston, SC · On-site +1

$109.20K - $131.10K/yr

Proficiency in SQL and Python. * Comprehensive knowledge of Microsoft Office Applications. * Assess ... Engineering, or related field. * Experience working with healthcare data from diverse EHRs, and an ...

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 ...

Provides engineering, logistics, and PM support solutions * Provides automation through development ... Python, SQL, Data modeling, APIs * Software design, testing, optimization * Knowledge and skill ...

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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 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:
Infographic showing various Python Data Developer job openings in South Carolina as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.
Sr. Data Engineer

Sr. Data Engineer

American Credit Acceptance

Spartanburg, SC

$84.80K - $115.20K/yr

Full-time

Posted 14 days ago


American Credit Acceptance rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Senior Data Engineer
Location: Spartanburg, SC (In-Office)
Employment Type: Full-Time
About the Role
We are seeking a highly skilled Senior Data Engineer to join our team in Spartanburg, SC. This role is best suited for an experienced professional with a strong background in modern data platforms and proven expertise in Snowflake. You will be responsible for building and optimizing data pipelines, enabling analytics, and ensuring data governance across the organization.
The ideal candidate has 10+ years of overall data engineering experience with 5+ years of hands-on experience in Snowflake, and thrives in an in-office, collaborative environment.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines and ELT/ETL processes to support business analytics and operations.
  • Lead the migration, optimization, and maintenance of large-scale data environments, with an emphasis on Snowflake.
  • Partner with cross-functional teams (analytics, product, compliance, IT) to deliver secure, reliable, and high-performance data solutions.
  • Implement and enforce best practices for data governance, data quality, and metadata management.
  • Develop CI/CD pipelines for data engineering workflows (Bitbucket preferred).
  • Collaborate with stakeholders to translate business requirements into technical specifications and data models.
  • Monitor, troubleshoot, and optimize data systems for performance, cost efficiency, and reliability.
  • Mentor junior engineers and provide technical leadership within the team.

Required Qualifications
  • 10+ years of total experience in data engineering or related fields.
  • 5+ years of direct experience with Snowflake (data modeling, performance tuning, query optimization, security).
  • Bachelor’s degree in computer science, mathematics, IT or a related field.”
  • Strong SQL and Python skills, with experience in building complex transformations.
  • Proven ability to design and optimize data pipelines and workflows in cloud environments (AWS preferred).
  • Experience working with stakeholders on data strategy, governance, and compliance.

Preferred / Nice-to-Have Skills
  • Experience with Amazon Redshift.
  • Familiarity with Bitbucket for CI/CD and version control.
  • Exposure to Matillion, Fivetran and Coalesce for data integration.
  • Knowledge of OpenFlow or similar data workflow/orchestration tools.
  • Familiarity with Sigma (Sigma Computing) for cloud-native business intelligence and self-service analytics
  • Background in data governance frameworks (PII handling, access control, metadata management).

Supervisory Responsibility
This position has no direct supervisory responsibilities. 

Work Environment and Physical Demands
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
 
Position Type/Expected Hours of Work
This is a full-time position. Days of work are Monday through Friday.  The daily schedule may vary from 8 am to 5 pm or 9 am to 6 pm.   Hours may vary or exceed 40 in any given week depending on the needs of the business.
 
Travel
Up to 10% travel is expected for this position.
 
EEO Statement 
ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.  ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. 
 
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
California Privacy Notice
As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.