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Python Data Wrangler Internship Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and ... Databricks, Python (and/or Scala) and PySpark/Scala-Spark. * Database solutions like Databricks ...

Sr. Analyst- BI Data

Atlanta, GA · On-site

$81K - $103K/yr

... data wrangling, reporting, and data visualization. This role is based in Atlanta, and it will ... Knowledge of programming language relevant to BI and analytics (DAX, SQL, Python, etc.) * Data ...

Experience with data wrangling and modeling using Python or a similar programming language, and ability to collaborate using Git. Preferred Education, Experience, & Skills * Interdisciplinary ...

What We Need Looking for a summer internship with a highly dynamic, entrepreneurial company ... R, Python) used in Machine Learning * Substantial exposure to relational databases and use of SQL ...

What We Need Looking for a summer internship with a highly dynamic, entrepreneurial company ... R, Python) used in Machine Learning * Substantial exposure to relational databases and use of SQL ...

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Experience or coursework in code development in SQL, Python, Hive, Impala, R What could set you ...

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

... python/Java. • Experience working with Enterprise Data Hub projects/implementations. • ... wrangling, visualization and reporting, with an understanding of the best, most efficient use of ...

... internships, in analytics, data science, or business intelligence. * Must be a recent graduate of Georgia Institute of Technology. Technical Skills: * Proficiency in Python and SAS for analytics ...

New

... guide interns on the team. • Other duties as assigned. Knowledge & Qualifications • Master of ... Python programming, and experience working with big data tools such as Spark. • Excellent ...

... guide interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of ... Python programming, and experience working with big data tools such as Spark. · Excellent ...

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Python Data Wrangler Internship information

What are the key skills and qualifications needed to thrive as a Python Data Wrangler Intern, and why are they important?

To thrive as a Python Data Wrangler Intern, you need a solid understanding of Python programming, data manipulation, and foundational knowledge in statistics or data science. Familiarity with tools such as pandas, NumPy, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving, attention to detail, and effective communication skills set candidates apart in this role. These abilities are crucial for efficiently cleaning, transforming, and interpreting data to support accurate analysis and collaborative project work.

What are some typical projects or tasks assigned to Python Data Wrangler interns, and how do these contribute to the overall data team?

As a Python Data Wrangler intern, you are likely to work on projects involving data cleaning, transformation, and integration from multiple sources. Typical tasks include writing scripts to automate data preprocessing, identifying and correcting inconsistencies, and ensuring data integrity for analytics pipelines. You'll often collaborate closely with data analysts, data engineers, and sometimes machine learning teams to prepare datasets that drive business insights. These contributions are vital, as high-quality, well-structured data forms the foundation for all downstream analytics and decision-making within the organization.

What does a Python Data Wrangler Intern do?

A Python Data Wrangler Intern is responsible for collecting, cleaning, organizing, and preparing data for analysis, primarily using Python programming. Their work involves writing scripts to handle messy or unstructured data from various sources, ensuring it is accurate and usable for data science or analytics teams. Tasks may include automating data extraction, transforming data formats, and collaborating with team members to support data-driven projects. This role provides hands-on experience with real-world datasets and tools commonly used in the industry.

What is the difference between Python Data Wrangler Internship vs Data Analyst Intern?

AspectPython Data Wrangler InternshipData Analyst Intern
Required SkillsPython, data cleaning, scriptingExcel, SQL, basic statistics
Work EnvironmentData preprocessing, scripting tasksData analysis, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

The Python Data Wrangler Internship focuses on data cleaning and scripting using Python, ideal for those interested in data preprocessing roles. In contrast, Data Analyst Internships involve analyzing data and creating reports, often requiring Excel and SQL skills. Both roles are common in tech and business sectors, but they serve different stages of data handling and analysis.

What are popular job titles related to Python Data Wrangler Internship jobs in Georgia? For Python Data Wrangler Internship jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Python Data Wrangler Internship jobs? Cities in Georgia with the most Python Data Wrangler Internship job openings:
Infographic showing various Python Data Wrangler Internship job openings in Georgia as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer

Data Engineer

Diverse Lynx

Atlanta, GA • On-site

$110K - $132K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Engineer

Essential skills: Data Engineer experience required: 10 & above Location - Atlanta, GA (3 days work from customer location) Responsibilities:

  • Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and validate data by running various data tools in the Data Environment.
  • Supports the standardization, customization, and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
  • Creates data policy and develop interfaces and retention models which requires synthesizing or anonymizing data.
  • Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
  • Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
  • Works closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
  • Design, implement, and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve Big Data in a fast and safe mode, curate data that can be used in BI reporting, analysis, machine learning models and ad-hoc data requests.
  • Build data pipelines that clean, transform, and aggregate data from disparate sources.
  • Engages with business teams to gather requirements and design data solutions.
  • Mentors team of more Junior Data Engineers.
  • Collaborates across multiple projects to provide data engineering expertise across teams.
  • Analyzes most relevant insights and shares with leadership to provide strategic recommendations for the business • Lead a team of data engineers and act as a key senior contributor to a data engineering project.

Skills and Experience:

  • 7+ years of overall IT experience
  • 5+ years of experience in a data engineering/ETL role with a track record of manipulating, processing, and extracting value from large datasets • 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or Cloud platforms e.g. AWS, GCP, etc.
  • 3+ years building, testing, and optimizing data ingestion pipelines, architectures, and data sets with Tibco, IBM or others.
  • Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
  • High-velocity high-volume stream processing with Apache Kafka and Spark Streaming.
  • Strong SQL skills with ability to write intermediate complexity queries.
  • ETL experience with PySpark, Spark SQL, IBM Data Stage or similar.
  • Agile Scrum, Kanban or SAFe experience.

Skills Desired

  • Databricks, Python (and/or Scala) and PySpark/Scala-Spark.
  • Database solutions like Databricks, Teradata, Mainframe, DB2 or BigQuery.
  • BI Solutions like Spotfire, OAC, Tableau or PowerBI • Azure, AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue.
  • Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series.
  • Strong SQL skills with ability to write intermediate complexity queries • Experience with GIT code versioning software

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.


Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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