Top 296 Data developers Jobs in San Francisco, Ca

Analytics Data Engineer
Anthropic —San Francisco, CA
- $275,000 - $370,000 a year
- Hybrid work
- 5 years
- Office
- SQL
- Parental leave
- Flexible schedule
Data Engineer III
Inland Empire Health Plan —California
- $118,601.60 - $157,144.00 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Office
- Disability insurance
- Health insurance
Data Operations Analyst
Hive —San Francisco, CA
- $60,000 - $85,000 a year
- Full-time
- Bachelor's degree
- Entry level
- Under 1 year
Growth Data Engineer
Embedding VC —San Francisco, CA
- Full-time
- Remote
- 3 years
- SQL
- APIs
Quick Apply
Founding Data Engineer
Higgsfield —San Francisco, CA
- Full-time
- Hybrid work
- Office
- SQL
- Senior level
Quick Apply
Data Engineer
Punch Agency —San Francisco, CA
- From $150,000 a year
- Full-time
- Computer science
- Computer Science
- Office
Quick Apply
Client Delivery Analyst
Hive —San Francisco, CA
- $60,000 - $85,000 a year
- Full-time
- Bachelor's degree
- Entry level
- Under 1 year
Analytics Engineer
StateHouse Holdings Inc. —San Francisco, CA
- $115,000 - $125,000 a year
- Computer science
- Computer Science
- DevOps
Quick Apply
GCP Data Engineer
Recutify Inc. —San Francisco, CA
- $45 - $50 an hour
- Contract
- 5 years
- SQL
- Mentoring
Quick Apply
2d
Data Engineer
Promise —San Francisco, CA
- $150,000 - $210,000 a year
- Full-time
- Hybrid work
- 5 years
- Office
- SQL
- Health insurance
- Dental insurance
Data Engineer
Penrose Studios —San Francisco, CA
- Computer science
- Computer Science
- 5 years
Software Engineer (Big Data)
Quantcast —San Francisco, CA
- $138,500 - $162,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Java
Quick Apply
Agentic AI Engineer
DocuSign —San Francisco, CA
- $146,400 - $235,375 a year
- Hybrid work
- Computer Science
- Office
- 3 years
- Paid parental leave
- Paid holidays
Software Engineer, Data
Whatnot —San Francisco, CA
- $220,000 - $290,000 a year
- Full-time
- Remote
- Mid-level
- 3 years
- APIs
- Paid parental leave
- Health insurance
BI (Analytics) Engineer
Candid Health —San Francisco, CA
- $135,000 - $180,000 a year
- Full-time
- Writing skills
- Mid-level
- SQL
- Health insurance
Analytics Engineer II
Earnest —San Francisco, CA
- $112,500 - $150,000 a year
- Remote
- Mid-level
- SQL
- Fair chance
- Employee stock purchase plan
- Health insurance
Analytics Data Engineering Manager, Product
Anthropic —San Francisco, CA
- $370,000 - $450,000 a year
- Hybrid work
- 5 years
- Office
- SQL
- Parental leave
- Flexible schedule
Co-Op: Financial Data Engineer
The Clorox Company —San Francisco Bay Area, CA
- Part-time
- Computer Science
- Analysis skills
- Quality control
- Health insurance
- 401(k)
Data Platform Engineer
PrizePicks —San Francisco, CA
- $100,000 - $150,000 a year
- Full-time
- Remote
- Mid-level
- 3 years
- US work authorization
- Paid parental leave
- Disability insurance
Quick Apply
Data & BI Engineer - Odos
deCircle —San Francisco, CA
- Full-time
- Remote
- Mid-level
- 3 years
- APIs
Quick Apply

I want to receive the latest job alert for data developers in san francisco, ca

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

data developers jobs near san francisco, ca

Analytics Data Engineer

Anthropic -
San Francisco, CA

Apply Now

Job Details

$275,000 - $370,000 a year

Benefits

Parental leave
Flexible schedule

Qualifications

Stakeholder management

Full Job Description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.

Responsibilities:

Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
Influence the future roadmap of Product and GTM teams from a data systems perspective
Become an expert in our organization’s data models and the company's data architecture

You might be a good fit if you have:

5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
A passion for the company's mission of building helpful, honest, and harmless AI.
Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
Expertise in SQL and Python to transform data into accurate, clean data models.
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
Experience building an Analytics Data Engineering (or similar) function at start-ups.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$275,000 - $370,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply Now

Refine Your Search

data developers jobs in san francisco, ca

Analytics Data Engineer

Data Engineer III

Data Operations Analyst

Growth Data Engineer

Founding Data Engineer

Data Engineer

Client Delivery Analyst

Analytics Engineer

GCP Data Engineer

Data Engineer

Data Engineer

Software Engineer (Big Data)

Agentic AI Engineer

Software Engineer, Data

BI (Analytics) Engineer

Analytics Engineer II

Analytics Data Engineering Manager, Product

Co-Op: Financial Data Engineer

Data Platform Engineer

Data & BI Engineer - Odos

I want to receive the latest job alert for data developers in san francisco, ca

Related Searches

Explore jobs in more locations

About Anthropic

About the Role

Responsibilities:

You might be a good fit if you have:

Logistics

How we're different

Come work with us!

Job Seeker Tools

Employer Tools

Browse

Stay Connected