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Python Etl Developer Jobs in New York, NY (NOW HIRING)

MedReview

ETL Engineer

Manhattan, NY · On-site

Programing in Python or Scala for data processing If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit. Nice to Have: * Experience with streaming data (Kafka, Event Hubs)

Gain America

ETL Developer

Hicksville, NY · On-site

$90K/yr

Analyze and Optimizing of ETL load performance. Ensure accuracy & integrity of data through analysis, coding, writing clear documentation & problem resolution. Engage in design, documentation ...

Sarian, Inc.

ETL Informatica Developer

Manhattan, NY · On-site

Proven track record as ETL developer using ETL tool i.e. Informatica or stored procedures. * Experience with Oracle Exadata. * Experience with unix/shell scripting. * Sound data analysis skills.

Gain America

Datawarehouse ETL Developer

Hicksville, NY · On-site

$110K/yr

Required Skills Excellent analytical skills- Data Warehousing experience preferred Required Experience Develop, implement and support ETL mappings to migrate large data volumes from source systems ...

Ariel Partners

ETL Manager

Manhattan, NY · On-site

$56.25 - $73.50/hr

Collaborate with business analysts, data architects, developers, and reporting teams to ensure accurate and timely data delivery. * Optimize ETL processes for performance, reliability, scalability ...

Ariel Partners

ETL Manager

New York, NY

$55.75 - $73/hr

Collaborate with business analysts, data architects, developers, and reporting teams to ensure accurate and timely data delivery. * Optimize ETL processes for performance, reliability, scalability ...

Integrated Resources INC

ETL Architect

New York, NY · On-site

The Role demands more than a typical ETL lead role as it interacts outwardly on projects with architects, PM's, OPS, data modelers, developers, admins, DBA's and testers. This is a hands-on delivery ...

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All JobsPython Etl Developer JobsPython Etl Developer Jobs in New York, NY

Python Etl Developer information

See New York, NY salary details

$14

$64

$94

How much do python etl developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python etl developer in New York, NY 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 is the difference between Python Etl Developer vs Data Engineer?

AspectPython Etl DeveloperData Engineer
Primary FocusDeveloping ETL processes using PythonBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsPython, SQL, ETL tools, data modelingPython, SQL, cloud platforms, big data technologies
Work EnvironmentData teams, analytics departmentsData engineering teams, infrastructure teams
Industry UsageFinance, healthcare, retail, where data integration is keyTech, finance, e-commerce, large-scale data systems

While both roles involve working with data and Python, Python ETL Developers primarily focus on creating and maintaining ETL processes for data integration. Data Engineers have a broader scope, designing entire data pipelines and infrastructure to support analytics and data science initiatives.

Infographic showing various Python Etl Developer job openings in New York, NY as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

ETL Engineer

Manhattan, NY • On-site

MedReview
Health Care and Social Assistance • 201 - 500 employees
Learn more about MedReviewexternal

Full-time

Re-posted 26 days ago

Job description

Position Summary: 
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing. 
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you.  This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions.  Salary $120-130K 
Responsibilities: 
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence. 
  • Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks 
  • Build and optimize ClickHouse ingestion pipelines (batch + streaming) 
  • Develop transformations for structured and semi-structured data 
  • Optimize SQL Server and ClickHouse queries for performance and scalability 
  • Improve data models, partitions, and materialized views in ClickHouse
  • Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs)
  • Monitor pipeline performance and ensure low latency + high reliability 
  • Implement data quality checks, error handling and lineage tracking
  • Partner with BI teams to support dashboards (Power BI, etc) 
Must-Haves (Non-Negotiables): 
We are targeting candidates who already have strong, hands-on experience in the following: 
  • ETL tools: Azure Data Factory, SSIS, Databricks 
  • Strong SQL skills (writing, optimizing, and troubleshooting complex queries) 
  • Experience working with ClickHouse (schema design,  ingestion, optimization) 
    Experience with cloud environments (Azure perferred) 
  • Programing in Python or Scala for data processing 
If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit. 
Nice to Have:
  • Experience with streaming data (Kafka, Event Hubs) 
  • Exposure to big data frameworks 
  • Understanding of DevOps/Data pipeline deployment practices 
  • Experience supporting BI tools (Power BI, Tableau) 
What Success Looks Like:
  • You can independently build and optimize ETL pipelines 
  • You understand how to make data systems faster, cleaner, and scalable 
  • You're comfortable working across engineering, analytics, and business teams 
  • You proactively identify performance issues and fix them 

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