368,910open jobs
9,449companies
47,822added this week
Browse all
Salary
$76k – $159k per year (Estimated)
Location
Remote/Hybrid (San Francisco, United States)
Seniority
Middle · 4+ years exp
Employment
Internship
Overview
Company
Impact
Profile match
Planet is the leading provider of global, daily satellite imagery and insights. Planet is driven by a mission to image all of Earth's landmass every day, and make global change visible, accessible, and actionable. Founded in 2010 by three NASA scientists, Planet designs, builds, and operates the largest fleet of imaging satellites, as well as online software, tools and analytics needed to deliver data to users.

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role:

We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate, data-driven, and believes in Planet’s mission and values. You will gain first-hand experience in geospatial and enterprise data modeling and analysis. You’ll build data products and solutions such as dashboards, self-service tooling, and data pipelines for consumers across Planet, leveraging tools including git, dbt, python, SQL and Omni. What you deliver will be used to improve satellite collection performance, user experience research, business strategy, and overall customer satisfaction.

This is a full-time, hybrid role which will require you to work from our San Francisco, CA or Arlington, VA office 3 days per week.

Impact You'll Own:

  • Analyze and visualize data to drive insights and inform product, business or operational problems
  • Work with key stakeholders across the business to define metrics to measure product and business performance
  • Develop and own robust, accurate data models as well as maintain, troubleshoot, and improve existing ones
  • Build datasets into self-service data tools leveraging modern data tooling 
  • Contribute to a team of Data Scientists, Analysts and Engineers through discussions and code reviews

What You Bring:

  • 4+ years of relevant experience
  • Bachelors’ degree, technical certification, or equivalent
  • Expertise in SQL and python for data cleaning, aggregation and analytics 
  • Experience with git or other version control
  • Familiarity with enterprise cloud platforms
  • Reliability and accuracy in analytics work
  • Experience working in a dynamic environment serving multiple stakeholder groups with different needs and technical ability
  • Familiarity with geospatial data use cases

What Makes You Stand Out:

  • Experience with the modern data stack: Fivetran, dbt, Looker/Omni/Sigma, or similar
  • Experience enabling go to market teams with customer and financial data
  • Familiarity with enterprise cloud platforms (GCP preferred)

Application Deadline:

November 17, 2026 at 11:59p PT

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

  • Comprehensive Medical, Dental, and Vision plans
  • Health Savings Account (HSA) with a company contribution
  • Generous Paid Time Off in addition to holidays and company-wide days off 
  • 16 Weeks of Paid Parental Leave
  • Wellness Program and Employee Assistance Program (EAP)
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity
  • Commuter Benefits (if local to an office)
  • Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

San Francisco Salary Range

$114,200—$142,700 USD

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Why we care so much about Belonging. 

We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. 

EEO statement:

Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.

Accommodations: 

Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to [email protected] or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.

Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact [email protected] with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,910 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$122k – $200k per year • In office • Full-Time • 10+ years exp • Jersey City • Charlotte
Java
Node JS
Python
SQL
JavaScript
Java
Hibernate
Spring Framework
Spring MVC
Databases
Apache Kafka
DynamoDB
Oracle
RabbitMQ
AI/ML
Ray
DevOps
Amazon CloudWatch
Amazon EC2
Amazon ECS
Amazon EKS
Amazon S3
Ansible
API Gateway
AWS
AWS Lambda
Azure
CI/CD
CloudFormation
GCP
Git
Grafana
IAM
Jenkins
Prometheus
Splunk
Terraform
Kubernetes
Apply
$118k – $240k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Tysons
C#
Go
JavaScript
Python
SQL
TypeScript
C#
.NET
AI/ML
Embeddings
Human-in-the-Loop
LLM Guardrails
RAG
Semantic Search
Semantic Search
DevOps
AWS
CI/CD
Vector
Cybersecurity
Least Privilege
Apply
$113k – $188k per year • In office • Full-Time • 6+ years exp • Bachelor's Degree • Tysons
Python
SQL
Python
pySpark
Databases
Amazon Redshift
Apache Iceberg
Databricks
Delta Lake
AI/ML
Airflow
Anomaly Detection
ChatGPT
Copilot
Cursor
GraphRAG
Knowledge Graph
RAG
Spark
DevOps
Amazon Kinesis
Amazon S3
AWS
AWS CDK
AWS Lambda
AWS Step Functions
CI/CD
CloudFormation
Docker
Git
GitHub
GitHub Actions
IAM
Jenkins
Terraform
Vector
Cybersecurity
Least Privilege
Analytics
ETL/ELT
Power BI
Tableau
Apply
$110k – $199k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Tysons
C#
SQL
C#
.NET
Databases
MS SQL
DevOps
Azure
Azure DevOps
CI/CD
Management
Power Apps
Apply
$87k – $131k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Tysons
Java
Mobile
JUnit
DevOps
AWS
Azure
Azure DevOps
CI/CD
Datadog
Docker
Dynatrace
GCP
Git
Jenkins
Kubernetes
New Relic
Shift-Left
Splunk
Cybersecurity
Shift-Left Security
SonarQube
Management
Jira
QA
Cucumber
JMeter
Postman
Rest-Assured
Selenium
TestNG
Apply
$184k – $350k per year (Estimated) • Remote/Hybrid • Internship • 15+ years exp • Bachelor's Degree • Arlington
AI/ML
Computer Vision
AI Agents
DevOps
AWS
Platform Engineering
Cybersecurity
GDPR
Apply
$173k – $369k per year (Estimated) • Remote/Hybrid • Internship • 15+ years exp • Bachelor's Degree • San Francisco
AI/ML
Computer Vision
AI Agents
DevOps
AWS
Platform Engineering
Cybersecurity
GDPR
Apply
$148k – $286k per year (Estimated) • Remote/Hybrid • Contractor • 10+ years exp • Arlington
Python
AI/ML
Computer Vision
Embeddings
PyTorch
Time Series Forecasting
DevOps
AWS
CI/CD
Docker
GCP
Git
Kubernetes
Cybersecurity
GDPR
Apply
Data Analyst 4 days ago
$83k – $180k per year (Estimated) • Remote/Hybrid • Internship • 4+ years exp • Bachelor's Degree • Arlington
Python
SQL
AI/ML
dbt
DevOps
GCP
Cybersecurity
GDPR
Apply
$95k – $184k per year (Estimated) • Remote/Hybrid • Contractor • 6+ years exp • Bachelor's Degree • Berlin
Cybersecurity
GDPR
Apply
$89k – $193k per year (Estimated) • In office • Full-Time • 3+ years exp • High School Diploma • San Francisco
Apply
$170k – $220k per year • Equity 1–2.8% • In office • Full-Time • 3+ years exp • San Francisco
Python
SQL
Python
Django
AI/ML
AI Agents
Context Engineering
LLM
LLM Evaluation
RAG
Apply
$170k – $230k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • New York • San Francisco
Go
Java
Kotlin
Python
Scala
Databases
Apache Kafka
Databricks
Delta Lake
Snowflake
AI/ML
Dagster
dbt
Flink
Spark
Knowledge Graph
Apply
$173k – $314k per year • In office • Full-Time • 12+ years exp • Bachelor's Degree • San Francisco
Apex
JavaScript
Node JS
Python
SQL
TypeScript
Apex
Lightning Web Components
AI/ML
Agentforce
AI Agents
Claude
Claude Code
Copilot
Cursor
LLM
RAG
DevOps
AWS
Azure
CI/CD
Docker
GCP
GitHub
Grafana
gRPC
Kubernetes
New Relic
Prometheus
Splunk
Marketing
Salesforce
QA
Cypress
JMeter
k6
Locust
Playwright
Postman
Rest-Assured
Selenium
Apply
Senior ML Engineer 3 hours ago
$149k – $224k per year • In office • Full-Time • 5+ years exp • Master's Degree • San Francisco • Washington • Palo Alto
Python
Python
pySpark
Databases
Apache Kafka
AI/ML
AI Agents
Agentforce
Airflow
Anomaly Detection
Feature Store
Flink
Ray
Red Teaming
Spark
DevOps
CI/CD
Docker
Kubernetes
Cybersecurity
MITRE ATT&CK
Marketing
Salesforce
Apply
See all jobs
This is one of many
368,910 more open roles from verified company boards, updated every day.