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Python Data Jobs in San Francisco, CA (NOW HIRING)

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Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

We offer a survey data analysis platform that allows market researchers, analysts, and marketers to ... We are hiring a Python Software Systems Engineer to help develop and deploy our platform. We are ...

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Data Scientist

San Francisco, CA

Strong proficiency in programming languages such as Python or R. * Experience with data visualization tools (e.g., Tableau, Power BI) and SQL. * Solid understanding of machine learning algorithms and ...

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$69

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How much do python data jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python data in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

What are popular job titles related to Python Data jobs in San Francisco, CA?

For Python Data jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Python Data jobs in San Francisco, CA look for?

The top searched job categories for Python Data jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Python Data jobs?

Cities near San Francisco, CA with the most Python Data job openings:

Python Data jobs near you
Infographic showing various Python Data job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $143,658 per year, or $69.1 per hour.

Software Engineering Manager (Data)

Sift Science, Inc

San Francisco, CA • On-site

$200K - $300K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

About Sift
Sift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.
The Role
We are looking for a hands-on Software Engineering Manager to lead our Data Platform. You will lead the engineering teams that develop and maintain our core data pipelines, including ingestion, storage, processing, querying, APIs and documentation for interacting with our data systems. Our data infrastructure must work flawlessly in the cloud, on-prem and in air-gapped deployments. Data forms the backbone of Sift and this role is incredibly important to our mission. We serve customers across a wide-spectrum of industries building next-generation machines that demand high-performance for mission critical operations.
This role will report directly to the VP of Engineering and is ideal for someone with a background in aerospace, AI or robotics and loves working on the cutting edge of science and technology.
Core Responsibilities
  • Leadership: Manage and build a team of high-performing engineers, provide mentorship and guidance to accelerate their growth.
  • Strategy: Collaborate with our Product and our Go-To-Market teams to define technical roadmaps.
  • Execution: Ensure the team delivers best-in-class results at high velocity while continuously raising the bar for quality and performance.
  • Process Excellence: Establish and refine engineering processes, agile rituals and use of AI to accelerate development and expand our core capabilities.
  • Hands-on Contribution: Actively engage the architecture and codebase, contribute to high-impact features and help resolve critical technical challenges.
Candidate Profile
  • Experience: 7+ years in software engineering with 2+ years in a people management role.
  • Education: Bachelor's degree in Computer Science, STEM, or a related field.
  • Software Development: Strong experience with distributed systems and web applications using Go, Rust, or Python.
  • Data Expertise: Experience with in-stream processing (Apache Kafka, Flink, Beam). Familiarity with specialized databases like PostgreSQL, Druid, Pinot, or Timescale. Expertise in data exploration tools such as Grafana or Jupyter Notebooks.
  • Leadership: Proven ability to guide teams through ambiguity and a track record of being a "force multiplier" for engineering talent.

Bonus Points
  • Experience in Aerospace, Autonomous Vehicles, Robotics, Defense or Energy.
  • Experience in leading AI-first teams and AI initiatives.
  • Background in Data Science, Statistics or other academic fields that work with data.
  • Experience in building UI and customer-facing dashboards for interacting with data.

Engineering At Sift:
You'll have the opportunity to help evolve and scale our platform because we're still in the early stages of building the product. Relevant technologies include:
  • Web frontend & backend: React, TypeScript, Redux, Tailwind, WebAssembly, D3.js, WebGL, and Go
  • Data: Parquet, Flink, Kafka, Redpanda, Beam, DuckDB, Timescale, QuestDB, InfluxDB, and Druid
  • Infrastructure: GitHub Actions, AWS, Azure, Google Cloud Platform, Docker, Kubernetes, and Terraform
Why Join Sift?
  • Real Impact: Build the infrastructure that enables the next generation of aerospace and robotic breakthroughs.
  • Amazing Talent: Work alongside veterans from NASA JPL, SpaceX, and the Defense Intelligence Agency.
  • Vibrant Culture: Develop great things with people who all love what they are doing.
  • In-Person Collaboration: Join us in our Marina Del Rey office (2x per week) to stay close to the hardware companies we serve.
  • Comprehensive Benefits: Unlimited PTO, equity ownership, 401(k), and full medical/dental/vision coverage.

Location:
Sift's headquarters is in Marina Del Rey, CA (Next to LAX). We collaborate in person twice a week-on Mondays and Thursdays-and come together for a full week every two months. We are open to relocating candidates to LA or working from our San Francisco office for the right candidate.
Salary range: $200,000 - $300,000 per year. Plus equity and benefits.
Eligibility:

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