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Remote Python Data Engineer Jobs in New York (NOW HIRING)

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data ... Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery) * Nice ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Code data ingest solutions (Python, Databrick Notebooks, NodeJS) leveraging 3rd party APIs. * Daily ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Proficiency in at least one programming language (e.g., Python, Java, Scala). * Familiarity with ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Precision Technologies Corp

Data Engineer

Jersey City, NJ · Remote

$117K - $140K/yr

Remote, however travel might be required as per business requirements Where you're headed Laying ... Solid programming skills in Python, Java, SQL Querying, and Scala * Familiarity with advanced ...

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Remote Python Data Engineer information

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How much do remote python data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote python data engineer in New York is $161,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,500.00 and $187,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Data Engineer, and why are they important?

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

What is the difference between Remote Python Data Engineer vs Remote Data Scientist?

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

What cities in New York are hiring for Remote Python Data Engineer jobs? Cities in New York with the most Remote Python Data Engineer job openings:
Remote Python Data Engineer jobs near you
Data Engineer

Data Engineer

Shaped

Brooklyn, NY • Remote

$130K - $200K/yr

Full-time

Posted 17 days ago

Job description

Company Description

Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics.

We're a seed stage start-up backed by top-tier investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc...) and executives (e.g. Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York.

Job Description

We are looking for a data engineer to design, build and optimize Shaped's real-time and batch streaming infrastructure. You will be a founding engineer working to reliably ingest customer data (both with batch and real-time processing) into our our state-of-the-art AI discovery engine. As one of Shaped's early employees you will help shape our product, culture and vision.

We're excited to work with you. Come build the future of AI with us!

Qualifications
  • 6+ years experience
  • Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery)
  • Nice-to-have skills should include DBT, Meltano, Airflow, and Apache Flink (or other stream processing frameworks)
Additional Information
  • Salary $130K - $200K 
  • Equity 0.10% - 0.50%

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