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Data Engineer Python Jobs in New York (NOW HIRING)

Data Engineer (AWS & Python)

Newark, NJ · On-site

$119K - $143K/yr

Proven experience as a Data Engineer building production-grade data pipelines. * Python: Expert-level scripting and data manipulation skills (Pandas, PySpark, etc.). * AWS Ecosystem: Hands-on ...

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 ...

Implement and manage AWS services to support data engineering tasks. * Design and integrate REST ... Python. * AWS DevOps. * Databricks. * DBT. * Apache Airflow. * REST API design. * SQL.

Starbridge | Senior AI Engineer (Python) | NYC or Remote | Full-time Starbridge is building an AI platform that turns large-scale public and enterprise data into reliable sales insights. We are early ...

New

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 ...

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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 Aug 7, 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?

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?

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 does a data engineer python do?

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $153,133 per year, or $73.6 per hour.

Senior Data Engineer - Python

Cleartelligence

New York, NY • On-site

$100/hr

Full-time

Posted 3 days ago

New


Job description

We are seeking a highly experienced Senior Data Engineer with strong Python development skills to support a large-scale data migration initiative. This individual will build and maintain data ingestion pipelines that extract data from legacy and enterprise systems, transform it, and load it into SQL databases for downstream reporting and analytics.
The ideal candidate is a self-sufficient engineer who is comfortable working across APIs, databases, and ETL pipelines, with the ability to independently deliver high-quality solutions in a fast-paced environment.
Location is commutable to New York City with some onsite work in New York
Responsibilities
  • Design, develop, and maintain Python-based data ingestion and ETL pipelines.
  • Extract data from legacy/homegrown securities platforms, REST APIs, MySQL, PostgreSQL, Microsoft System Center, MDM tools, and similar enterprise systems.
  • Develop Python scripts to transform, validate, and load data into MySQL and PostgreSQL databases.
  • Support migration of existing data feeds into a new environment while ensuring data quality and reliability.
  • Monitor, troubleshoot, and optimize data pipelines.
  • Collaborate with engineering and business stakeholders to implement scalable data solutions.
  • Document data flows, processes, and technical solutions.
Required Qualifications
  • 7+ years of Data Engineering and Python development experience.
  • Expert-level Python programming.
  • Strong ETL/data ingestion pipeline experience.
  • Experience with APIs, MySQL, and PostgreSQL.
  • Strong SQL skills.
  • Experience using Git/GitHub.
  • Ability to work independently with minimal oversight.
  • Strong analytical and troubleshooting skills.
Preferred Qualifications
  • Data modeling or data warehouse experience.
  • Financial services or securities data experience.
  • Experience with enterprise infrastructure management systems.
  • Experience supporting large-scale data migration initiatives.
  • Exposure to enterprise scheduling/orchestration tools.
What We're Looking For
  • Senior-level engineer capable of owning data ingestion pipelines end-to-end, from extracting data from legacy systems through transforming and loading it into modern SQL environments with minimal supervision.
Nice-to-Have Skills
  • Data modeling and dimensional modeling
  • Data warehouse architecture
  • Financial services experience

The anticipated hourly rate for this role is up to $100 per hour or between $120,000 - $160,000 annually. Final pay rate will be determined based on experience, qualifications and geographic location
It is our policy to provide and promote equal employment opportunity to all employees and applicants for employment following all local, state, and federal laws and regulations governing personnel activities. Under federal guidelines we are committed to a program of affirmative action for work sites in the United States.