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Python Data Jobs in New York (NOW HIRING)

Python Data Integration Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

Python Data Integration Developer Basic Information * Experience Level: 5-10 years Required Skills * Strong Python 3.x experience for data ingestion and transformation. * DataFrame processing ...

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 ...

Palantir Sr Data Engineer

Manhattan, NY · Hybrid

$126.20K - $151.60K/yr

EdgeX Foundry, IT infrastructure, IT networking, Palantir Foundry, PySpark, Python, data integration, data management, data processing, edge computing, information technology, programming ...

Data Engineer

Rahway, NJ · On-site

$116.20K - $139.60K/yr

SQL/Python/Data Engineer/AWS Data Engineers who can build scalable, reliable data pipelines and infrastructure, requiring mastery in SQL, Python/Scala, cloud platforms (AWS), and big data ...

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation workflows * Experience validating datasets, dashboards, and data pipelines * Strong understanding of ...

Data Engineer

Jersey City, NJ · On-site

$119.50K - $143.50K/yr

Python Data Engineer Design and build horizontally scalable components within the major platform that the team is developing. Review and provide code feedback in terms of best practices with keen eye ...

Past experience building Python data APIs * Experience writing data validations in Python * Systematic experience required * Keen sense of finding data issues. * Experience with one of the following ...

Past experience building Python data APIs * Experience writing data validations in Python * Systematic experience required * Keen sense of finding data issues. * Experience with one of the following ...

Data Engineer

New York, NY · On-site

$150K - $200K/yr

Develop, test, and optimize Python data applications, frameworks, and services * Collaborate with technologists and researchers to align data applications and platforms with evolving business needs

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery) * Nice-to-have skills should include DBT, Meltano, Airflow, and Apache Flink (or other stream processing ...

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Python Data information

See New York salary details

$14

$64

$94

How much do python data jobs pay per hour?

As of May 28, 2026, the average hourly pay for python data in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Full-time

Posted 7 days ago


Job description

Overview:
Job Description:
  • Design and develop high quality and high performance MicroServices using AWS Services.
  • Develops unit tests and provides code coverage to accurately test business logic and functionality
  • Solves or recommends solutions for complex issues and problems
  • Collaborate with UX/UI designers to implement design into the code
  • Handle last level support for code deployments in all environments.
  • Brainstorm new ideas and ways to improve development delivery.
  • Consult with peers for feedback during testing stages.
  • Build, maintain, and monitor configuration standards.
  • Follow all best practices and procedures as established by the organization.
  • Should be flexible and demonstrate a willingness to learn and adapt
  • Documents designs, issues, and solutions as needed
  • Actively engages improving software delivery through DevOps and other Agile practices

Minimum Qualifications:
  • Strong Experience with 12+ years working on Python in AWS.
  • Solid experience with Python frameworks
  • Experience with several AWS Services such as AWS API Gateway, AWS Lambda, Stepfunctions, ElasticSearch/OpenSearch.
  • Experience in modelling data/access patterns in Postgres or similar DB.
  • Experience in writing and executing PyTest or similar unit tests.
  • Well versed with creating and consuming RESTFUL APIs.
  • Knowledgeable about creating cloud formation templates.
  • Strong Analytical Skills.
  • Able to perform SQL Queries against a relational database.

Experience in using X-Ray and Cloudwatch Logs to triage issues with services. Demonstrated ability to learn new technologies quickly and be a self-starter.