2

Remote Python Startup Jobs in New York (NOW HIRING)

Data and Analytics Engineer

New York, NY ยท On-site +1

$125K - $150K/yr

... in remote, cross- functional environments. Preferred Qualifications * Previous startup or rapid ... Familiarity with Python scripting for data pipelines and automation. * Interest or experience in ...

Security Engineer

New York, NY ยท Remote

$105K - $125K/yr

... paced, startup environment where threats and priorities evolve quickly. In this role, you will ... Proficient in pertinent programming/scripting languages (e.g., Python, Go, bash/ powershell, etc.

Backend: Node.js / Python (FastAPI, Express) * Database: Firestore, BigQuery, PostgreSQL * Cloud ... Builder Mentality Thrives in startup velocity; takes ownership from ideation to production.

Applied Scientist II (Audio)

New York, NY ยท Remote

$140K - $180K/yr

Reality Defender Wins RSA Most Innovative Startup The Applied Scientist II (Audio) Role. We are ... Strong programming skills in Python and model ML frameworks (PyTorch, JAX). * Solid understanding ...

AI Solutions Architect- Post-Sales

New York, NY ยท On-site +1

$69 - $90.75/hr

AI SOLUTIONS ARCHITECT POST-SALES Remote [within the US] ABOUT THE ROLE: We are seeking a motivated ... Python programming experience required; familiarity with AI/ML workflows (LangChain, LangGraph ...

Senior Data Engineer

New York, NY ยท On-site +1

$116K - $157K/yr

Job Location: Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main ... Strong SQL and Python skills, with a focus on automation, performance, and reliability.

Minimum 2 years of development experience at startup/mid-sized companies * Proficiency in Python, Go, Node, Ruby or Elixir * Knowledge of containerization, particularly Docker (Kubernetes is a plus)

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

next page

Showing results 1-20

Remote Python Startup information

What is a Remote Python Startup?

A Remote Python Startup is a company or organization that is in its early stages of development and primarily operates remotely, with its team members working from different locations. The startup's core products or services are typically built using the Python programming language, which is known for its versatility and ease of use in web development, data science, automation, and more. Working at a remote Python startup often requires strong collaboration skills, self-motivation, and proficiency in Python and related technologies. Team members typically communicate through online tools and platforms to manage projects, build products, and solve problems together.

What are the key skills and qualifications needed to thrive as a Remote Python Developer at a startup, and why are they important?

To thrive as a Remote Python Developer at a startup, you need strong proficiency in Python programming, problem-solving abilities, and experience with web frameworks or APIs, often supported by a degree in computer science or related field. Familiarity with tools like Git, Docker, cloud platforms (AWS, GCP), and continuous integration systems is typically required. Self-motivation, adaptability, and excellent written communication are crucial soft skills for collaborating within distributed, fast-paced startup teams. These skills ensure you can deliver effective solutions, adapt to evolving priorities, and contribute positively to the startup's growth and remote culture.

What is the difference between Remote Python Startup vs Remote Data Analyst?

AspectRemote Python StartupRemote Data Analyst
Required CredentialsPython programming skills, possibly some web frameworks, basic data handlingStatistical knowledge, data analysis tools, SQL, possibly some programming
Work EnvironmentTech startups, flexible remote settings, collaborative teamsBusiness or tech companies, remote or hybrid, focus on data insights
Industry UsageSoftware development, startups, tech industryFinance, marketing, healthcare, and other data-driven sectors

Remote Python Startup roles focus on software development using Python, often in startup environments, while Remote Data Analyst positions emphasize analyzing data to inform business decisions. Both roles require technical skills but differ in focus and industry application.

How does working at a remote Python startup typically differ from larger, more established companies in terms of daily responsibilities and team collaboration?

At a remote Python startup, you can expect to wear multiple hats, often taking on responsibilities beyond strict coding, such as contributing to product decisions or helping shape development processes. Daily tasks are usually fast-paced and can shift rapidly as priorities change, requiring adaptability and strong self-motivation. Team collaboration often relies on digital tools like Slack, GitHub, and video meetings, fostering a culture of frequent communication and autonomy. This environment provides unique opportunities for rapid skill growth, direct impact on the company's success, and close collaboration with founders and cross-functional teams.
What are the most commonly searched types of Python Startup jobs in New York? The most popular types of Python Startup jobs in New York are:
What are popular job titles related to Remote Python Startup jobs in New York? For Remote Python Startup jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Python Startup jobs in New York look for? The top searched job categories for Remote Python Startup jobs in New York are:
What cities in New York are hiring for Remote Python Startup jobs? Cities in New York with the most Remote Python Startup job openings:

Senior / Staff Engineer, Data Platform

NxT Level

Manhattan, NY โ€ข Remote

$220K - $250K/yr

Full-time

Posted 10 days ago


Job description

Data Platform Engineer (Customer-Facing Analytics)

Location: (SF / NYC / Remote โ€” confirm preference)
Compensation: $220,000 - $250,000 + equity

Tech Stack: Python, Postgres, Clickhouse, AWS, Kafka, Spark, Airflow.

About Our Client

Our client is building an end-to-end content engineering platform for the AI era. As discovery shifts from traditional search to AI-native platforms, they help brands get foundโ€”and stay foundโ€”by turning content quality into a durable competitive advantage. They're in hyper-growth and support high-performing marketing teams at leading companies.

The team is backed by top-tier investors and operates across major hubs including San Francisco and New York (with additional global presence). Their culture emphasizes extreme ownership, quality, curiosity, and making customers heroes.

Why This Role, Why Now

This is one of the most important technical hires our client will make this year. Customers rely on the product to understand how they appear across AI search surfacesโ€”and the underlying data must be fast, accurate, and trusted.

They've outgrown โ€œdata engineering as a side quest.โ€ This is a foundational Data Platform role where you'll own the customer-facing data layer end-to-end: pipelines, serving, and the guarantees that make analytics feel rock-solid.

If you want true ownership over a data product surface external users depend onโ€”and the latitude to build it the right wayโ€”this role is for you.

The Role

Our client is hiring a Data Platform Engineer to build and scale the data systems powering customer-facing analytics like citation rates, share of voice, and mention trends across AI-driven platforms (e.g., ChatGPT, Perplexity, Gemini, and others).

This role blends product-minded engineering with deep technical execution. You'll collaborate directly with product and engineering, moving fluidly from specs to query plans to production systems.

What You'll Do

  • Own the data pipelines powering customer-facing analytics: define what โ€œdoneโ€ means, ship it, and stand behind it
  • Build the serving layer that delivers metrics with strong guarantees on accuracy, freshness, and latency
  • Develop enrichment pipelines that convert raw inputs into derived entities the product depends on (classification, tagging, canonicalization, etc.)
  • Partner closely with product and engineering to ship data-powered featuresโ€”fast and with high quality
  • Establish the data engineering foundation the team will need as the company scales (tooling, standards, performance practices, observability)

What Our Client Is Looking For

Required

  • 5+ years of hands-on engineering experience with clear evidence you've owned a data-powered product surface that external users interact with (not internal dashboards/BI-only work)
  • Strong Python and SQL
  • Hands-on experience with OLAP systems at product scale (e.g., ClickHouse, Redshift, or similar)
  • Strong performance instincts: you know the difference between a query that works and one that holds up under real customer load
  • The range to contribute to architecture decisions and still ship meaningful improvements the same week
  • High ownership mentality: you optimize for outcomes, not narrow scope

Nice to Have

  • Experience at โ€œdata is the productโ€ companies (e.g., analytics platforms, data serving products)
  • Familiarity with AWS-native stacks (Glue, S3, Redshift)
  • Experience integrating LLMs into pipelines for enrichment, classification, tagging, or extraction

Guiding Principles (Culture Fit)

  • Extreme Ownership
  • Quality
  • Curiosity and Play
  • Make Our Customers Heroes
  • Respectful Candor

Benefits

  • Equity in a fast-growing startup
  • Competitive benefits package tailored to location
  • Flexible time off
  • Parental leave
  • A fun-loving (and slightly nerdy) team that moves fast