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Data Engineer Python Jobs in New York (NOW HIRING)

Diverse Lynx

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

PySpark /Python Data Engineer Must Have Technical/Functional Skills We are looking for a skilled PySpark Data Engineer with strong hands-on experience in PySpark and Python to design, build, and ...

MSR Cosmos

GCP Data Engineer with Python

New York, NY · On-site

GCP Data Engineer with Python Location: NYC, NY onsite Duration: Long Term Job Summary Seeking a Specialist with 5 to 7 years of experience in Python and GCP Bigtable to design develop and optimize ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications: Bachelor's degree in computer science, Engineering, Information Technology ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications: Bachelor's degree in computer science, Engineering, Information Technology ...

SysMind Tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Python, SQL, Snowflake, Pandas, Azure ADF ETL, Data pipelines Behavioral Competencies: Good ... Engineering, or a related field. 3+ years of experience in data engineering, with a strong ...

Sarian, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.

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Data Engineer Python information

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$25.2K

$153.1K

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How much do data engineer python jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data engineer python in New York is $153,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $180,000.00 per year, depending on experience, location, and employer.

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

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

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the most commonly searched types of Data Engineer Python jobs in New York? The most popular types of Data Engineer Python jobs in New York are:
What are popular job titles related to Data Engineer Python jobs in New York? For Data Engineer Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Engineer Python jobs in New York look for? The top searched job categories for Data Engineer Python jobs in New York are:
Data Engineer Python jobs near you

Data Engineer - Python

A.M. Best Europe - Rating Services Ltd

Bedminster, NJ • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Benefits Summary
  • Flexible and hybrid work arrangements
  • Paid time off/Paid company holidays
  • Medical plan options/prescription drug plan
  • Dental plan/vision plan options
  • Flexible spending and health savings accounts
  • 401(k) retirement savings plan with a Roth savings option and company matching contributions
  • Educational assistance program

Overview
The Data Engineer is responsible for designing, building, and optimizing scalable data solutions to support a wide range of business needs. This role requires a strong ability to work both independently and collaboratively in a fast-paced, agile environment. The ideal candidate will engage with cross-functional teams to gather data requirements, propose enhancements to existing data pipelines and structures, and ensure the reliability and efficiency of data processes.
Responsibilities
• Focus on continued build out/improvement of the current data stores (Oracle, CEPH, and possibly MongoDB) including data access and persistence
• Requirement of prior knowledge/experience with database concepts such as SQL tuning, indexes, views, stored procedures, etc
• Proficient in fundamental algorithms and data structures. Server-side Python processes utilizing concurrency patterns with asyncio, mutli-processing, and threading. Also, comfortable working with Numpy, Pandas, Python collections, etc
• Must handle API development using REST. Strong working knowledge of FastAPI, with a primary focus on mastering the REST protocol. Experience with gRPC and socket-based communication is a valuable plus
• Mastery of typical software development life cycle and deployment processes. Experience with GIT, MS Azure DevOps, Artifactory, etc. Must be comfortable building CI/CD pipelines
• Experienced in developing applications and managing systems on Red Hat Enterprise Linux (RHEL) environments
Qualifications
• Associate's Degree preferred with 5 to 7 years demonstrated server-side development proficiency
• Bachelor's Degree preferred with 3 to 5 years demonstrated server-side development proficiency
Skills
• Programming Languages: Python (NumPy, Pandas, Oracle PL/SQL). Other non-interpreted languages like Java, C++, Rust, etc. are a plus. Must be proficient in the intermediate-advanced level of the language (concurrency, memory management, etc.)
• Design patterns: typical GOF patterns (Factory, Facade, Singleton, etc.)
• Data structures: maps, lists, arrays, etc
• SCM: solid Git proficiency, MS Azure DevOps (CI/CD)
• SQL: proficiency with Oracle indexes, SQL tuning, views, stored procedures, and functions
• OS: majority of the development is on Redhat Linux but should be comfortable with Windows. Some Unix shell scripting may be needed from time to time
• API development: must have proficiency with HTTP REST with gRPC / sockets as a plus
• Comfortable working iteratively in a dynamic, flexible environment
• Strong self-management skills and with a focus on timely completion of tasks
• Ability to converse with technical and non-technical groups

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