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Data Engineer Python Jobs in New York (NOW HIRING)

Python (Pandas) Shell scripting, Pl/SQl, Unix shell scripting Exp: 10+ years Responsibilities ... Implement security measures and data protection protocols. * Troubleshoot, debug, and upgrade ...

Data Engineer

Manhattan, NY · Hybrid

$126K - $151K/yr

Required Experience/Skills MUST HAVES: 5-7 Years of experience with Data Engineer/Python HADOOP SPARK SQL FINANCIAL SERVICES Day-today / Responsibilities * Building out Data Pipelines * Expand and ...

Data Engineer Python, Snowflake

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer proficient in Python development with 6+ years of ETL development experience with Azure cloud-based experience. * Understanding of Data Warehouse (Real time Data Ingestion, Data ...

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer ...

AI/ML Data Engineer (Python, GenAI, ML Modeling) Location: New York, NY (Hybrid - 3 Days Onsite) Duration: Contract Rate: DOE Job Overview We are seeking an experienced AI/ML Data Engineer to join ...

Data Engineer - Python, AWS, Alteryx

Manhattan, NY · On-site

$126K - $151K/yr

... engineering, data analytics, or a similar role. * Proficiency in Alteryx and Python (or similar tools) for workflow automation and data transformation. * Advanced skills in Python & SQL for data ...

Data Engineer (Python with Spark)

Jersey City, NJ · On-site

$119K - $143K/yr

Strong hands-on experience in Python programming for data engineering and data processing. * Extensive experience with Apache Spark (PySpark) for large-scale data processing and distributed computing.

Data Engineer - Python, Pyspark , AWS Glue, AWS Lambda, AWS EMR, Rds/redshift, ETL, API Management SQL Python, Pyspark AWS Glue ETL

Data Engineer - Python, Pyspark , AWS Glue, AWS Lambda, AWS EMR, Rds/redshift, ETL, API Management SQL Python, Pyspark AWS Glue ETL

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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 Jun 5, 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 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 May 2026, with employment types broken down into 2% As Needed, 64% Full Time, 30% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,133 per year, or $73.6 per hour.

Data Engineer - Python

Omni Inclusive

Jersey City, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title

Skill set: Python (Pandas) Shell scripting, Pl/SQl, Unix shell scripting Exp: 10+ years

Responsibilities
  • Design, develop, and maintain applications using Oracle, Informatica, Python and Unix technologies.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Optimize application performance and ensure scalability.
  • Implement security measures and data protection protocols.
  • Troubleshoot, debug, and upgrade existing systems.
  • Write clean, maintainable, and efficient code.
  • Stay up-to-date with the latest industry trends and technologies.
Requirements
  • 8+ years of experience building solutions using Oracle, Informatica, Python and shell scripting.
  • Strong knowledge of Python frameworks (e.g., Pandas, Streamlit, etc).
  • Proficiency in Oracle PL/SQL and SQL.
  • Hands-on experience with Informatica PowerCenter or similar ETL tools.
  • Experience in Translating functional and technical requirements into detailed design
  • Experience in Coding and unit testing, support SIT, UAT and Production deployments
  • Must have good database programming skills covering Design/development of Stored Procedures, -Functions, Tables, and Triggers and tuning SQL queries for optimal performance.
  • Develop ETL processes using Informatica to manage data integration tasks.
  • Proficiency in shell scripting
  • Experience with performance tuning and optimization of Oracle databases
  • Document system configurations, procedures, and best practices
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
Preferred Qualifications
  • Experience with Tivoli Workload Scheduler (TWS)
  • Experience with cloud services preferably AWS
  • Experience with Snowflake
  • Knowledge of DevOps practices and tools.
  • Familiarity with Agile methodologies.