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Python Data Developer Jobs in South Carolina (NOW HIRING)

Purpose Financial

Data Operations Engineer

Greenville, SC · On-site

$107.70K - $129.30K/yr

Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations * Contribute to CI/CD pipelines for data infrastructure Collaboration & Governance * Partner with data engineers to ...

Atlas Tech

Software Data Engineer

North Charleston, SC · On-site

$109.20K - $131.10K/yr

Working knowledge of Agile methodology and DevOps practices * Experience with open-source ... Programming/scripting experience (Python, PowerShell, Bash, Go) * Experience with data engineering ...

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107.70K - $129.30K/yr

Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis. * Hands on experience with cloud-based data ...

Shutterfly

Principal Data Engineer

Fort Mill, SC

$100.60K - $120.80K/yr

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data ... Expert knowledge of Python, Spark, and SQL; experience with large-scale data processing and ...

Shutterfly

Principal Data Engineer

Fort Mill, SC

$100.60K - $120.80K/yr

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data ... Expert knowledge of Python, Spark, and SQL; experience with large-scale data processing and ...

Unum UK

Data Engineer I

Columbia, SC

$105.90K - $127.20K/yr

Experience with at least one relevant ETL toolset (IICS, Python, SnowSQL, etc.). Exposure to DevOps best practice including CI/CD, process automation and optimization. * Data Architecture and ...

Unum Group

Data Engineer I

Columbia, SC · On-site

$105.90K - $127.20K/yr

Experience with at least one relevant ETL toolset (IICS, Python, SnowSQL, etc.). Exposure to DevOps best practice including CI/CD, process automation and optimization. * Data Architecture and ...

Artefact

Sr Data Analyst

North, SC

$79.80K - $100.70K/yr

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 ...

American Credit Acceptance

Sr. Data Engineer

Spartanburg, SC

$84.80K - $115.20K/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 ...

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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:
Python Data Developer jobs near you
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.
Data Operations Engineer

Data Operations Engineer

Purpose Financial

Greenville, SC • On-site

$107.70K - $129.30K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 9 days ago

Purpose Financial rating

5.4

Company rating: 5.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Brand: Purpose Financial
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer:
  • Competitive Wages
  • Health/Life Benefits
  • Health Savings Account plus Employer Seed
  • 401(k) Savings Plan with Company Match
  • Paid Parental Leave
  • Company Paid Holidays
  • Paid Time Off including Volunteer Time
  • Tuition Reimbursement
  • Business Casual Environment
  • Rewards & Recognition Program
  • Employee Assistance Program
  • Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

To learn more about Purpose Financial visit Purpose Financial Website.
Position Summary
We're looking for a skilled Data Operations Engineer to join our growing data team. This position reports to the Manager of Data Operations and is responsible for ensuring the reliability, scalability, and performance of our data pipelines and platforms. You'll work closely with data engineering, analytics, and infrastructure teams to support mission-critical data workflows, with a strong focus on Snowflake, Kafka, and modern data-ops best practices.
Job Responsibility
Data Pipeline Operations
  • Monitor, maintain, and optimize data pipelines across Snowflake, Kafka, and related systems
  • Troubleshoot and resolve data ingestion, transformation, and delivery issues
  • Ensure high availability and reliability of streaming and batch data processes

Platform Management
  • Manage Snowflake environments including warehouses, databases, roles, and resource optimization
  • Operate and tune Kafka clusters, topics, partitions, and consumer groups
  • Implement data quality checks, validation rules, and operational alerts

Automation & Tooling
  • Build automation for deployment, monitoring, and recovery of data workflows
  • Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations
  • Contribute to CI/CD pipelines for data infrastructure

Collaboration & Governance
  • Partner with data engineers to improve pipeline design and performance
  • Work with analytics teams to ensure timely and accurate data delivery
  • Support data governance, security, and compliance initiatives

Accountability
Understand, adhere to, and enforce all corporate policies.
Job Responsibilities Cont.
Education Required
A Bachelor's degree in Computer Science, Information Technology, software Engineering, or data management, or related field.
Experience Required
  • 5+ years in data operations, data engineering, or similar technical role
  • Hands-on experience with Snowflake (query optimization, warehouse tuning, RBAC, data sharing)
  • Strong experience with Kafka (producers/consumers, schema registry, monitoring, troubleshooting)
  • Proficiency in SQL and at least one scripting language (Python preferred)
  • Experience with cloud platforms (AWS preferred, Azure, or GCP)
  • Familiarity with orchestration tools (Airflow, dbt, etc.)
  • Strong understanding of data modeling, ETL/ELT concepts, and data lifecycle management

Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Preferred Qualifications:
  • Experience with Snowflake features such as Streams, Tasks, and Snowpipe
  • Knowledge of Kafka Connect, Kafka Streams, or Confluent Platform
  • Experience with writing connectors, both producers and consumers
  • Exposure to observability tools (Datadog, Prometheus, Grafana, Splunk)
  • Background in DevOps or SRE practices applied to data systems
  • Experience working in fast-paced, cloud-native environments

Physical Requirements
  • Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
  • Experience working in fast-paced, cloud-native environments

Competencies
OKR
Technical Proficiency/Leadership
Travel
0%-10%
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46092

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