Top 309 Data engineer Jobs in San Francisco Ca

Data Engineer
Fieldwire —San Francisco, CA
- $120,000 - $150,000 a year
- Remote
- Mid-level
- 2 years
- Communication skills
Quick Apply
Data Engineer
Tarro —San Mateo, CA
- $180,000 - $350,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
Data Engineer
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- 5 years
- Office
- SQL
- Parental leave
- Flexible schedule
Data Engineer
Samsara —San Francisco, CA
- $99,365 - $167,000 a year
- Azure
- Computer Science
- Mid-level
- Parental leave
Data Engineer
Neon Redwood —San Francisco, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
- Commuter assistance
- Health insurance
Data Engineer
Air Apps —San Francisco, CA
- $111,000 - $196,000 a year
- Full-time
- Mid-level
- SQL
- 4 years
- Disability insurance
- Health insurance
Data Engineer
Serval —San Francisco, CA
- $150,000 - $250,000 a year
- Full-time
- Computer Science
- 5 years
- Mid-level
2d
Data Engineer
Waystation AI —Redwood, CA
- Full-time
- System design
- Office
- Senior level
- Health insurance
- Dental insurance
Data Engineer - Data Platform
Mill —San Bruno, CA
- $185,000 - $210,000 a year
- System design
- Mid-level
- Residential
Quick Apply
12d
Data Engineer
Regard —San Francisco, CA
- $160,000 - $190,000 a year
- Full-time
- Hybrid work
- Background check
- Computer science
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Data Engineer
Punch Agency —San Francisco, CA
- From $150,000 a year
- Full-time
- Computer science
- Computer Science
- Office
Quick Apply
Data Infrastructure Engineer
Pivot Robotics —San Francisco, CA
- Full-time
- System design
- Mid-level
- AWS
Quick Apply
6d
Data Engineer
University of California San Francisco —San Francisco, CA
- Full-time
- Research
- Office
- Master's degree
7d
Associate Data Engineer (College Grad 2027)
Solace —Redwood City, CA
- Email
- Hybrid work
- Computer science
- Computer Science
- Office
3d
Data Engineer
ReadyOn —San Francisco, CA
- $140,000 - $230,000 a year
- Full-time
- 5 years
- System design
- Mid-level
Quick Apply
Data Engineer
Grüns —San Francisco, CA
- $150,000 - $170,000 a year
- Remote
- System design
- Mid-level
- SQL
- Paid time off
Quick Apply
12d
Platform Data Engineer
Neon Redwood —San Francisco, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
Software Engineer, Data Engineering
Verse —San Francisco, CA
- $180,000 - $250,000 a year
- Remote
- Computer Science
- System design
- Java
- Health insurance
- Dental insurance
Quick Apply
Data Engineer, Safeguards
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- Mid-level
- Office
- 8 years
- Parental leave
- Flexible schedule
Data Engineer
Cognition AI —San Francisco, CA
- Full-time
- Mid-level
- SQL
- In-person

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data engineer jobs near san francisco ca

Data Engineer

Fieldwire -
San Francisco, CA

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Job Details

$120,000 - $150,000 a year

Qualifications

Commercial use (data warehousing systems)
Systems integration
Data Integration (Data management)
Programming languages
Data Architecture Design (Architecture design skills)
ETL process automation
Integration Platforms (Enterprise solutions)
Technical writing
SaaS
Project stakeholder communication
Dimensional modeling
Database software proficiency

Full Job Description

Who we're looking for

Fieldwire is seeking a skilled Data Engineer to join our growing Data & Operations team. You will be the owner of our data infrastructure and pipelines — the foundational layer that powers all reporting, analytics, and business decision-making across Fieldwire. You will work closely with Data Insights Managers, Finance, Revenue Operations, and Product to ensure our data lake is reliable, scalable, and production-ready. This is a fully remote role based in the United States.

What you'll be doing

The primary responsibilities for this role include:

Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses
Own the end-to-end data architecture, including storage strategy, processing systems, and pipeline orchestration
Implement and maintain ETL/ELT workflows that extract, transform, and load data into clean, analytics-ready formats
Partner with Data Insights Managers and business stakeholders to translate reporting requirements into robust technical data solutions
Build automated validation and quality-check layers into every pipeline to prevent bad data from reaching reporting layers
Monitor pipeline health in real time; triage and resolve failures quickly to meet data availability SLAs
Enforce data standards, naming conventions, schema consistency, and access controls across all systems
Support integration and maintenance of key tools including Salesforce, Xero, Ramp and Greenhouse into the data lake
Maintain auditability of all data flows and support compliance and governance requirements
Collaborate with the DIM TL and Director of Operations on the data roadmap and architectural decisions

At Fieldwire, we're looking for our next Data Engineer to have the following skills and experiences

Core qualifications and experience:

2-3+ years of experience in a Data Engineering or equivalent role
Strong proficiency in SQL and at least one scripting language (Python preferred)
Hands-on experience building and maintaining ETL/ELT pipelines at scale
Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks)
Familiarity with pipeline orchestration tools (e.g. Airflow, dbt, Fivetran, Airbyte)
Strong understanding of data warehousing concepts, dimensional modelling, and data lake architecture
Experience integrating SaaS platforms (CRM, ERP, finance systems) via APIs and connectors
Excellent problem-solving skills with a rigorous approach to data quality and reliability
Ability to work independently in a fully remote, fast-moving environment
Strong written communication skills — able to document technical decisions clearly for non-technical stakeholders

And if you have any of the following, we REALLY want you to apply today!

Experience at a SaaS or technology company
Familiarity with Salesforce data structures and reporting layers
Exposure to BI tools (Power BI, Looker, Tableau) and understanding of how downstream consumers use data
Experience with real-time or streaming data pipelines
Knowledge of data governance frameworks and access control models
Prior experience supporting a GTM or Finance data stack

Compensation:

The estimated pay ranges for this role are as follows: $120,000 - $150,000

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience. In addition to the salary you may be eligible for a corporate bonus which can range up to 30%.

Why Fieldwire?

The field-first construction platform for less busywork and more building. Trusted on 4M+ projects worldwide, Fieldwire by Hilti gives crews reliable access to plans, tasks, and updates on one simple platform. It unites the field and office around a single, transparent source of truth, keeping teams aligned from start to finish. Designed for easy adoption, crews gain real-time visibility into progress, clear ownership of work, and the context to make confident decisions. As part of the Hilti Group, Fieldwire combines deep construction expertise with modern digital innovation to deliver better outcomes on every job. Learn more at Fieldwire.com.

Where is the job located?

This role is fully remote within the United States. Our headquarters are based in beautiful San Francisco and our office is centrally located right off of Embarcadero Bart station.

Fieldwire is proud to be an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status or any other characteristic protected by law.

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