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Data Engineer Python Jobs in New York (NOW HIRING)

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.

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

The ideal candidate will have: • 5-10 years of data engineering experience. • Proficient in coding in Python, PySpark, Java 17/21, Spring Boot, and SQL Databases. • Strong hands-on experience ...

Data Engineer

Manhattan, NY · On-site

$55 - $75/hr

Data Engineer New York, New York (Hybrid) Contract-to-hire $55 - $75 per hour ABOUT THE ROLE Join a ... Leverage Python and SQL for transformation logic, validation, and operational workflows * Partner ...

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Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

... an ETL/ELT developer/data engineer. * 3+ years of Databricks data engineering experience ... Expert in AWS Databricks, Python, Spark * Strong SQL, and UNIX Shell scripting experience

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Data Engineer Responsibilities * Develop and maintain scripts and tools using Python, PowerShell, and R. * Design, write, and optimize SQL queries for performance and scalability. * Help modernize ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Sr. Data Engineer - AWS Glue & Snowflake, Healthcare Payer Location - Midtown Manhattan, NYC- 4day ... Develop PySpark and Python-based transformation logic for large-scale data processing. * Create ...

Data Engineer

Manhattan, NY · Hybrid

$75 - $82/hr

Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP ... Develop data transformation and modeling solutions using SQL and Python * Modernize analytics ...

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP ... Develop data transformation and modeling solutions using SQL and Python * Modernize analytics ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Using Python and SQL for data processing and operational workflows * Partnering with teams for data ... Solid foundation in Software Engineering fundamentals * Experience with production-grade data ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby ... Python * - Spark, Hive, Airflow Preferred Skills: * - Cloud data platforms (AWS/GCP/Azure ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Must have: -Python -Apache Airflow/DBT -Communication, both written & verbal -Kubernetes -OpenShift -8+ years of experience We are seeking a highly skilled Senior Data Engineer with 8+ years of hands ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are looking for a skilled Senior Data Engineer with a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps and cloud-based large scale data applications ...

Data Engineer

Holmdel, NJ · On-site

$127K - $153K/yr

Data Engineer 12+ Month contract Location - Holmdel, NJ -Hybrid who is a self-starter, fueled by ... Expert in AWS Databricks, Python, Spark * Strong SQL, and UNIX Shell scripting experience

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Data Engineer

New York, NY · Hybrid

$150K - $183K/yr

Python, Scala, Spark or PySpark, AWS, ETL, SQL. The Data Engineer will build data pipelines and analytics tools by writing and maintining a reliable, scalable code base. Experience with columnar data ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Skills from outside primary skill cluster SQL, PySpark, Python Scripting, Informatica or Collibra, JIRA, Agile, Scrum Must have a minimum of 4+ years of experience in data engineering, data ...

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Data Engineer Python information

See New York salary details

$25.2K

$153.1K

$221.5K

How much do data engineer python jobs pay per year?

As of Jul 17, 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:
Infographic showing various Data Engineer Python job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $153,133 per year, or $73.6 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

New York, NY • On-site, Remote

$37/hr

Part-time

Re-posted 5 days ago


Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
About the Role
This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
Key Responsibilities
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Compensation
On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
How to get started
Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
Requirements
  • At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Strong attention to detail and commitment to data accuracy.
  • Self-directed work ethic with ability to troubleshoot independently.
  • A link to GitHub is a plus.
  • English proficiency: Upper-intermediate (B2) or above (required).

Benefits
Why this freelance opportunity might be a great fit for you?
  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.