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Python Data Analysis Jobs in Apex, NC (NOW HIRING)

Python Developer

Durham, NC · Remote

$70 - $75/hr

Gather and analyze system requirements, document specifications, and develop software solutions ... Work with databases, utilizing strong SQL fundamentals and ORM tools for data handling. Utilize ...

... analysis using Structured Query Language, R, and Python * 5+ years of experience with data warehouses and data lakes, including Amazon Web Services, Microsoft Azure, Databricks, or Snowflake * 5+ ...

Data Engineer

Durham, NC · On-site +1

$60 - $65/hr

The role focuses on data analysis, data modeling, and ETL development using Python and SQL to support an enterprise data lake and downstream data marts. You will collaborate in an Agile team to ...

Data Engineer

Durham, NC · On-site +1

$60 - $65/hr

The role focuses on data analysis, data modeling, and ETL development using Python and SQL to support an enterprise data lake and downstream data marts. You will collaborate in an Agile team to ...

Data Engineer

Morrisville, NC · On-site

$107.10K - $128.60K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 3+ years of experience in data engineering or data analysis. * Strong proficiency in Python for data processing ...

Statistical analysis experience * Prescriptive and predictive analysis for operations, planning ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

Statistical analysis experience * Prescriptive and predictive analysis for operations, planning ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

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Python Data Analysis information

See Apex, NC salary details

$10

$44

$65

How much do python data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for python data analysis in Apex, NC is $44.67, according to ZipRecruiter salary data. Most workers in this role earn between $36.83 and $50.72 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
What are popular job titles related to Python Data Analysis jobs in Apex, NC? For Python Data Analysis jobs in Apex, NC, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Apex, NC look for? The top searched job categories for Python Data Analysis jobs in Apex, NC are:
What cities near Apex, NC are hiring for Python Data Analysis jobs? Cities near Apex, NC with the most Python Data Analysis job openings:
Infographic showing various Python Data Analysis job openings in Apex, NC as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $92,908 per year, or $44.7 per hour.

Senior or Lead Azure Databricks Engineer with Python and Spark - W2 Role

Saransh Inc

Raleigh, NC • On-site

Contractor

Posted 14 days ago


Job description

Role: Senior / Lead Azure Databricks Engineer with Python & Spark
Location: Raleigh, NC (Onsite from Day 1)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Senior (Min 10 plus yrs with Azure Data)
 

Main skill: Data Software Engineering

Skill Spec: DSE Python Azure Databricks

 
Must have skills (Mandatory):
  • Apache Spark
  • Python
  • Azure Data Factory
  • Azure SQL Microsoft
  • Azure Synapse Analytics
  • ETL/ELT Solutions
Nice to have skills:
  • Apache Kafka
  • CI/CD
 
Experience & Qualifications:
  • Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
  • Working knowledge of Python
  • Expert level skills writing and optimizing complex SQL
  • Experience with complex data modeling, ETL design, and using large databases in a business environment
  • Experience with building data pipelines and applications to stream and process datasets at low latencies
  • Fluent with Big Data technologies like Spark, Kafka and Hive
  • Designing and building data pipelines using API ingestion and Streaming ingestion methods
  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code
  • Experience in developing NoSQL solutions using Azure Cosmos DB
  • Thorough understanding of Azure and AWS Cloud Infrastructure offerings
Key Responsibilities:
  • Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
  • Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
  • Monitor and troubleshoot data-related issues within the Azure environment to maintain high availability and performance
  • Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
  • Utilize Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making
  • Provide guidance and support for data governance, including metadata management, data lineage, and data cataloging