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Python Data Developer Jobs in South Carolina (NOW HIRING)

Data Engineer I

Columbia, SC · On-site

$105K - $127K/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 ...

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 ...

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 ...

Sr Data Analyst

North, SC · On-site

$79K - $100K/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 ...

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

... operations through DevOps, automation, CI/CD, and infrastructure management best practices ... Python code to support various integration needs Preferred : • Certifications in cloud or data ...

Data Scientist - FCRM

Greenville, SC · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

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 ...

$61K - $133K/yr

Develop, maintain, test, and support automated data pipelines using Python, SQL, Spark, .NET, and ... engineering or information technology work that includes all of the following: * Developing ...

AI Engineer

Ladson, SC

$111K - $134K/yr

Build and maintain data pipelines and AI systems. Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other ...

New

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Build and maintain data pipelines and AI systems. Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other ...

New

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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:

Data Engineer I

Unum Group

Columbia, SC • On-site

$105K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

When you join the team at Unum, you become part of an organization committed to helping you thrive.
Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
  • Award-winning culture
  • Inclusion and diversity as a priority
  • Performance Based Incentive Plans
  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
  • Generous PTO (including paid time to volunteer!)
  • Up to 9.5% 401(k) employer contribution
  • Mental health support
  • Career advancement opportunities
  • Student loan repayment options
  • Tuition reimbursement
  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.
And that's just the beginning...
With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
General Summary:
This position for a data Engineer who will design, build and maintain data systems and pipelines to allow data to be accessed and utilized optimally for analytics or visualization/insight generation purposes. The role requires technical expertise in the fields of computer programming, database management and data architecture; and relies on increasing business knowledge. With some support from manager, this individual will build and execute data engineering approaches to support business priorities.
Job Specifications
  • Bachelor's degree in quantitative field or equivalent experience
  • 2 years of professional experience or equivalent relevant work experience preferred
  • Core Data Engineer Capabilities: Knowledge in all of the following skillsets and deep expertise in at least two:
  • Data Engineering: 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 Infrastructure: Understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
  • Holistic Data Preparation: The ability to understand and present data, including a basic understanding of how the data will build towards a business solution.
  • Data Extraction, Transform & Load: Preferred skills include: Experience in writing complex SQL queries that join multiple tables/databases. Experience exploring databases/tables or other legacy data content to identify best data sources to solve business problems. Demonstrates ability to troubleshoot complex SQL queries with little guidance. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data.
  • Domain Knowledge: Deep understanding of Fineos and experience with Snowflake Cortex AI preferred.
  • Core business capabilities: Demonstrated communication skills, experience in financial services, exposure to working with senior management and executive leadership, and attention to detail while effectively prioritizing work and managing multiple projects simultaneously. Ability to understand and explain a problem and identify and communicate an appropriate solution.
  • Leadership Capabilities: Developing ability to coach or mentor team members, ability to commit quickly and positively to change. Viewed as embracing change and leading proof of concept work and prototyping when necessary
  • Preferred characteristics: Entrepreneurial self-starter, a thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity AND basic understanding of their organization

Principal Duties and Responsibilities
  • Employ a variety of languages and tools to develop, construct, test and maintain data pipelines, ensuring they support the requirements of the business.
  • Integrate varying sizes of data from different sources (including Snowflake, Fineos, Web API and Teradata).
  • Apply validation, aggregation, and reconciliation techniques to create a rich data framework.
  • Work closely with the data scientists and business partners to understand the business problem they are trying to solve and the analytics solutions they plan to apply. Use this understanding to create appropriate data structures tailored for the specific problem.
  • Create data assets that conform to scalability, extensibility, performance and maintainability requirements for the problem at hand. Promotes development of solutions following appropriate engineering process that is fit to purpose for different use scenarios.
  • Understand and contribute to the evolution of the enterprise data architecture including the application of current and emerging data frameworks and tools (eg hosting data in Cloud).
  • Efficiently prepares results for interpretation and/or visualization and communicates findings and potential value to manager.
  • Support integration of solutions within existing business processes using automation techniques.
  • Understand theory and application of current and emerging software engineering practices.
  • Provides support to lower level Data Engineer peers.
  • Perform other related duties as assigned

#LI-TO1
#LI-MULTI
~IN4
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$60,500.00-$123,400.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Company:
Unum