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Python Data Developer Jobs in North Carolina (NOW HIRING)

TEKsystems

Principal Data Scientist

Raleigh, NC

$75 - $90/hr

Master's or PhD Preferred - 6-12+ years in Data Science / ML Engineering, with deep experience in ... Strong coding skills in Python 7+ years Be a natural problem solver, able to take a lead in ...

THE TILTED CIRCLE LLC

Python AI Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Position: Python AI Developer Location: Charlotte, NC (Hybrid) Duration: 12+ Months Contract USC ... Extracted data vs source document * Post‑load verification between Contact Master and source docs ...

Genesis10

Python Developer - Hybrid

Charlotte, NC · On-site

$64.57/hr

Genesis10 is currently seeking a Python Developer with a Major Financial Institution located in ... This role works across back-end systems, APIs, and data-driven applications to support a variety of ...

Sarian, Inc.

Sr. Python Web Developer

Charlotte, NC · On-site

$118K - $159K/yr

Role: Sr. Python Web Developer Location: Charlotte, NC Onsite position Fulltime position *****NO ... Able to integrate multiple data sources and databases into one system. * Understanding of the ...

eTeam

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Responsibilities : • Solid experience in data engineering using Python. • Should have experience in working through AI, LLM. • Experience working with Cloud technologies (AWS preferred). • ...

Dellfor Technologies

Python Developer

Charlotte, NC · On-site

$60K/yr

... data structures, computer networking and operating systems Development expertise in REST/SOAP/JSON API Development expertise in message bus technologies such as RabbitMQ, ActiveMQ; Apache Kafka ...

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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 North Carolina?

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

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

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

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

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

Python Data Developer jobs near you

Senior Business Intelligence Developer

Hayward

Charlotte, NC • On-site

Full-time

Re-posted 22 days ago

Job description

Hayward Holdings Inc. (NYSE "HAYW") is the largest manufacturer of residential swimming pool equipment in the world, with a significant presence in the commercial pool market that is continuously growing. Hayward designs, manufactures, and markets a full line of residential and commercial pool and spa equipment including pumps, filters, heating, cleaners, salt chlorinators, automation, lighting, safety, flow control and energy solutions at our company owned facilities. Headquartered in Charlotte, North Carolina, Hayward also has facilities in Tennessee, Arizona, and Rhode Island as well as Canada, Spain, France, Australia, and China.


We are seeking a Senior BI Developer to transform data into actionable insights, lead BI projects, develop data models, and mentor teams while ensuring alignment with business objectives.

Key Responsibilities

  • Collaboration:Strong Communication and Collaboration skills, able to work effectively with both technical and non-technical stakeholders a must.
    • Work closely with cross-functional teams, including business stakeholders, analysts, and IT, to gather requirements, define, standardize, document, and deliver BI solutions aligned with company goals
    • Partner with Data Engineering to optimize robust ETL/ELT pipelines and data models (e.g., Snowflake, dbt)
    • Act as a key liaison between business stakeholders, data engineering and business Power BI teams to ensure alignment
  • Data Modeling:Develop and optimize scalable data models, and ensure data quality and performance
  • Data Analysis and Reporting:Analyze complex datasets to identify trends, patterns, and actionable insights that support strategic decision-making
  • Dashboard and Visualization Development:Design, implement, and maintain interactive dashboards and reports using tools such as Power BI
  • Leadership and Mentorship:Provide guidance to junior developers, foster best practices, and lead BI initiatives.
  • Process Improvement:Continuously enhance BI processes, tools, and methodologies to improve data quality, consistency, reporting accuracy, and efficiencyacross BI workflows
  • Governance:
    • Use DevOps practices to apply DevOps principles (version control; automated deployment; environment strategy; continuous integration strategy and deliver; code reviews; Etc.)
  • Enforce BI Development standards, naming conventions
  • Optimization: Drive improvements to optimize BI platform performance, query efficiency, model design, and cost management
  • Influence & Guide: Partner with Business Power BI Teams to move towards standardized, maintainable, and scalable solutions
  • All other duties as assigned

Required Skills and Qualifications

  • Advanced Technical Expertise:
    • Power BI, DAX, SQL, dbt Cloud,other BI tools and Python
    • Data warehousing, cloud platforms (AWS, Snowflake, Azure)
    • Statistical analysis
    • Building Semantic layers, reusable data models, scalable reporting frameworks and BI architectures
  • Analytical and Problem-Solving Skills:
    • Strong ability to interpret data, identify trends, and provide actionable recommendations.
    • Operate effectively in an ambiguous or evolving data environment, driving incremental improvement and structure.
    • Experience working across multiple business domains and stakeholder groups
  • Flexibility:Highly organized with the ability to adapt to changing priorities
  • Communication Skills:Effective collaboration with stakeholders and ability to translate business needs and/or requirements into technical solutions
  • Experience:
    • 5+ years in BI development or analytics roles
    • with senior-level experience 8-10 years in data modeling, data architecture, performance tuning, and strategic decision-making.
  • Education:Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Statistics, or related fields

Optional/Preferred Skills

  • Finance, Manufacturing, Distribution or Supply Chain experience a plus.
  • Experience with Microsoft Fabric a plus
  • Microsoft Certified: Power BI Data Analyst Associate a plus

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