1

Junior Python Engineer Jobs in Charlotte, NC (NOW HIRING)

# Junior AI & Metadata EngineerColumbiaApply for this job* Permanent* Experienced Professionals* Data ... Python* Generative AI / LLMs* Prompt Engineering* NLP & Information Extraction* GCP AI Services ...

Junior ETL Dev

Charlotte, NC · On-site

$34 - $35/hr

Junior ETL Developer Charlotte, NC Hybrid role (4 days onsite, 1 day remote) $35 per hour ABOUT THE ... WHAT YOU'LL DO * Assist in building, enhancing, and maintaining ETL workflows using SQL and Python

... Python, and AWS services in an Agile environment. Key Responsibilities * Develop and maintain ... Troubleshoot production issues and mentor junior developers. * Collaborate with cross-functional ...

Software Engineer

Charlotte, NC · On-site

$49 - $53/hr

Senior Software Engineer, Backend (Python / Node.js) We are not accepting C2C or 1099 arrangements ... Provide technical mentorship and guidance to junior engineers. * Contribute to technical design ...

Engineer

Charlotte, NC · On-site

$110K - $120K/yr

Python, SQL, Data Ingestion and ETL, API development and Integration, Mongo DB, Oracle or ... junior data engineers and lead code reviews. • Set up data governance, data quality, and ...

Engineer

Charlotte, NC · On-site

$90K - $120K/yr

Build advanced test automation frameworks using Python, PyTest, and specialized AI testing tools ... Mentor junior engineers and collaborate with data scientists and software developers. • ...

We are looking for a junior level network automation candidate. In this role, you will ... Develop and maintain basic automation scripts using Python or similar languages to support network ...

Showing results 21-40

Junior Python Engineer information

See Charlotte, NC salary details

$32.7K

$70.1K

$107K

How much do junior python engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for junior python engineer in Charlotte, NC is $70,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $78,100.00 per year, depending on experience, location, and employer.

What is a junior Python engineer?

Junior Python Engineers are entry-level software developers who specialize in using the Python programming language to build, test, and maintain software applications. They typically work under the guidance of more experienced developers, contributing to coding, debugging, and documentation tasks. Junior Python Engineers may also assist in writing scripts, automating processes, and learning best practices in software development as they gain experience. This role is ideal for recent graduates or those with limited professional experience in programming.

What are the key skills and qualifications needed to thrive as a junior Python engineer?

To thrive as a Junior Python Engineer, you need a solid understanding of Python programming, basic software development principles, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, integrated development environments (IDEs), and common Python libraries such as Flask or Django is typically expected. Strong problem-solving skills, willingness to learn, and effective communication make a candidate stand out in collaborative development teams. These skills are vital for producing reliable code, integrating smoothly into team workflows, and growing quickly in a technical environment.

What are some typical projects or tasks a junior Python engineer might work on in their first year?

As a Junior Python Engineer, you can expect to work on a range of foundational tasks such as writing and debugging code, developing scripts for automation, assisting in the maintenance of existing applications, and supporting the implementation of new features under the guidance of senior engineers. You may also participate in code reviews, collaborate with cross-functional teams like QA or DevOps, and handle data manipulation or API integrations. This hands-on experience helps you build confidence and deepen your understanding of industry-standard development practices.

What is the difference between Junior Python Engineer vs Junior Data Analyst?

AspectJunior Python EngineerJunior Data Analyst
Required SkillsPython programming, basic data structures, scriptingData visualization, SQL, Excel, basic statistics
CertificationsPython certifications, coding bootcampsData analysis certifications, Excel courses
Work EnvironmentSoftware development teams, tech companiesBusiness intelligence teams, finance, marketing
Industry UsageSoftware, tech, startupsFinance, marketing, consulting

The main difference between a Junior Python Engineer and a Junior Data Analyst lies in their focus areas. Junior Python Engineers primarily develop and maintain software using Python, while Junior Data Analysts analyze data to generate insights. Both roles require some overlapping skills like basic programming, but their tools and end goals differ significantly.

What cities near Charlotte, NC are hiring for Junior Python Engineer jobs?

Cities near Charlotte, NC with the most Junior Python Engineer job openings:

Infographic showing various Junior Python Engineer job openings in Charlotte, NC as of September 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $70,128 per year, or $33.7 per hour.

Hadoop Hive Python Developer

Charlotte, NC • On-site

Covetus, LLC
IT Services • 1 - 10 employees

Other

Posted 8 days ago


Job description

Location: Charlotte, NC (Full time onsite)
 
 
Job Description:
Must Have Technical/Functional Skills
 
Primary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools – Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.
 
Experience: Minimum 9+ years
 
Roles & Responsibilities
 
Seeking a Senior Big Data Engineer with 9-14 years of experience specializing in Hadoop, Python, Hive PySpark, Kafka, and strong experience designing data solutions for large-scale financial systems.
In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.
This role focuses on delivering highly performant, well-governed data platforms that support the bank’s mission-critical global markets functions.
 
Key Responsibilities:
Big Data Platform Engineering
· Design, develop, and optimize PySpark-based ETL pipelines running on on‑prem Hadoop clusters and cloud environments.
· Build high‑volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data. 
· Develop, tune, and manage Hadoop ecosystem components—HDFS, YARN, MapReduce, Tez, Oozie/Airflow. 
· Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing. 
 
Databricks Lakehouse & Delta Framework: 
· Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse. 
· Apply Delta Lake best practices including: 
o optimized file management 
o Z-Ordering 
o Delta Change Data Feed (CDF) 
o schema evolution & enforcement 
o ACID transaction handling 
· Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers. 
· Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools. 
 
Collaboration, Leadership & Delivery: 
· Collaborate closely with quants, product owners, architects, risk tech, and business users. 
· Participate in agile ceremonies — sprint planning, refinement, design reviews. 
· Mentor junior engineers and contribute to building strong engineering practices across tech teams. 
 
Required Skills & Experience: 
· 9-14 years of hands-on experience in Big Data engineering. 
· Expert skills in: 
o PySpark — dataframe optimizations, partitioning, broadcast strategies, distributed computing. 
o Kafka — producer/consumer design, schema registry, streaming ETLs. 
o Hadoop ecosystem — HDFS, YARN, MapReduce/Tez, Oozie/Airflow. 
o Hive — advanced query tuning, TEZ optimization, partition/bucket management. 
· Extensive hands-on experience with Databricks Lakehouse, including: 
o Bronze/Silver/Gold layer modeling 
o Delta Lake optimizations 
o Data quality frameworks on Lakehouse 
o Structured & unstructured data handling 
· Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting. 
· Strong SQL knowledge with experience working on massive datasets (TB/PB scale). 
· Experience with CI/CD practices — Git, Jenkins, Bitbucket, build pipelines.