ZipRecruiter

Log In

1

Python Data Developer Jobs (NOW HIRING)

Samprasoft

Data Engineer - AWS, Python, SQL

Jersey City, NJ · On-site

$119.50K - $143.50K/yr

Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT), Messaging Technologies (ActiveMQ, Kafka), Relational and NoSQL databases (Cassandra ...

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... This work involves building pipelines to get data into the platform, update drools based rules, and ...

Samprasoft

Data Engineer - AWS, Python, SQL

Durham, NC · On-site

$103.70K - $124.60K/yr

Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT), Messaging Technologies (ActiveMQ, Kafka), Relational and NoSQL databases (Cassandra ...

Samprasoft

Data Engineer - AWS, Python, SQL

Roanoke, TX · On-site

$109.90K - $132K/yr

Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT), Messaging Technologies (ActiveMQ, Kafka), Relational and NoSQL databases (Cassandra ...

TriosysIT Inc.

Python Developer

Columbus, OH

$47 - $64.75/hr

... and engineering when defining requirements for systems applications. Key Requirements and ... Python data processing technologies, e.g. Pandas, Numpy * Solid understanding on web applications ...

Apex Systems

Python Dev

Chandler, AZ · On-site

$60 - $65/hr

Python Developer The Python Developer will be responsible for designing, architecting, and guiding ... Perform data preparation using Python data structures and Pandas. * Work with relational and NoSQL ...

RIT Solutions

Python Developer

Chandler, AZ · Hybrid

$51.25 - $70.75/hr

Python Developer Location: Hybrid in Chandler, AZ (3 days onsite) - Relocation on their own expense ... data preparation, Python data structures, and Pandas. · 8+ years of working with relational and ...

RIT Solutions, Inc.

Python Developer

Chandler, AZ · Hybrid

$51.25 - $70.75/hr

Python Developer Location: Hybrid in Chandler, AZ (3 days onsite) - Relocation on their own expense ... data preparation, Python data structures, and Pandas. • 8+ years of working with relational and ...

next page

Showing results 1-20

People also search for

All JobsPython Data Developer Jobs

Python Data Developer information

See salary details

$13

$58

$86

How much do python data developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python data developer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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 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 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.

More about Python Data Developer jobs
What cities are hiring for Python Data Developer jobs? Cities with the most Python Data Developer job openings:
What states have the most Python Data Developer jobs? States with the most job openings for Python Data Developer jobs include:
What job categories do people searching Python Data Developer jobs look for? The top searched job categories for Python Data Developer jobs are:
Python Data Developer jobs near you
Python Data Engineer with DEEP (Palantir experience)

Python Data Engineer with DEEP (Palantir experience)

Salesforce

Plano, TX • On-site

$109.50K - $131.50K/yr

Full-time

Posted yesterday

Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

99th of 185 rated software companies

Job description

Job Description:
Python Data Engineer with DEEP (Palantir experience)
Data Engineer with strong proficiency in Python and hands-on experience working with Palantir platforms (Foundry, Gotham, or relevant Palantir tools).
The ideal candidate will design, build, and optimize data pipelines, support scalable analytics solutions, and ensure reliable data integration within complex environments.
Core Technical Skills:
  • Python Programming
  • Advanced knowledge of Python for data processing, ETL development, and automation.
  • Experience with popular libraries: pandas, numpy, pySpark.
  • Ability to write clean, efficient, and modular code following best practices.

Palantir Platforms
  • Practical experience on Palantir Foundry or Gotham (pipelines, data lineage, data modeling).
  • Development, management, and optimization of pipelines and data assets in Palantir environments.
  • Familiarity with Palantir's ontology, tools for data transformation, and logic building blocks.
  • Integration of external data sources with Palantir, leveraging APIs and connectors.

Data Engineering & ETL
  • Building, deploying, and managing scalable ETL/ELT pipelines (batch and streaming).
  • Experience with scheduling/orchestrating workflows via Airflow, Palantir Pipeline Builder, or similar.
  • Data quality, validation, profiling, and error handling.

Databases and Data Modeling
  • Proficient in SQL; able to work with relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. MongoDB) databases.
  • Experience designing efficient schemas, indexing strategies, and optimizing queries.
  • Understanding data warehousing concepts.

Cloud & Big Data
  • Experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (e.g. Spark, Hadoop).
  • Familiarity with scalable storage solutions (S3, Blob storage, HDFS).

What Salesforce employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply