Top 8 Application developer data governance Jobs in San Francisco, Ca

Data Engineer (Founding Team)
Fabrion —San Francisco Bay Area, CA
- Full-time
- System design
- Senior level
Security Engineer
Hive —San Francisco, CA
- $100,000 - $180,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Cyber AI Data Engineer Senior Consultant
Deloitte —San Francisco, CA
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
Staff Software Engineer, Data Platform
Discord —San Francisco, CA
- $248,000 - $310,000 a year
- Full-time
- 7 years
- System design
- Office
- Relocation assistance
Sr. Data Platform Engineer
DocuSign —San Francisco, CA
- $146,400 - $235,375 a year
- Hybrid work
- Computer science
- Azure
- 6 years
- Paid parental leave
- Paid holidays
Data Engineer (SMTS / LMTS) - MDM
Salesforce —San Francisco, CA
- $148,500 - $285,800 a year
- Full-time
- Azure
- Java
- 8 years
- Paid parental leave
- Disability insurance
Digital Execution Lead, Digital Delivery for Construction Execution, Google Data Centers
Google —San Francisco, CA
- $163,000 - $237,000 a year
- Full-time
- Computer Science
- 5 years
- System design
- Paid holidays
- Disability insurance
Senior Manager, Data Engineering
Scribd, Inc. —San Francisco, CA
- $154,500 - $265,000 a year
- Full-time
- Residential
- Continuous improvement
- Mentoring
- Paid parental leave
- Disability insurance
2d

More jobs to discover

Find similar jobs that you might be interested in.

Application Security Engineer - AI Trainer
DataAnnotation —San Francisco Bay Area, CA
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
$40 - $60 an hour
Quick Apply
Security Engineer - AI Trainer
DataAnnotation —San Ramon, CA
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
$40 - $60 an hour
Quick Apply

Show more similar jobs

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Senior Data and Analytics Developer
NiSource —Columbus, OH
The Sr Developer partners with business teams to fully understand the problem that needs to be solved, extracts and preps data, builds analytic models,…
$96,600 - $144,900 a year
5d
Cyber AI Data Engineer Senior Consultant
Deloitte —Columbus, OH
Security certification such as CompTIA Security+, Certified Information Security Manager, Certified Information Systems Auditor, Certified Information Systems…
$105,400 - $207,800 a year

Show more jobs in cities nearby

I want to receive the latest job alert for application developer data governance 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

application developer data governance jobs near san francisco, ca

Data Engineer (Founding Team)

Fabrion
San Francisco Bay Area, CA

Apply Now

Job Details

Full-time

Qualifications

Production systems

Full Job Description

Data/ETL Engineer (Founding Team)

Location: San Francisco Bay Area

Type: Full-Time

Compensation: Competitive salary + early-stage equity

Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.

About the Role

We’re building a multi-tenant, AI-native platform where enterprise data becomes actionable through semantic enrichment, intelligent agents, and governed interoperability. At the heart of this architecture lies our Data Fabric — an intelligent, governed layer that turns fragmented and siloed data into a connected ontology ready for model training, vector search, and insight-to-action workflows.

We're looking for engineers who enjoy hard data problems at scale: messy unstructured data, schema drift, multi-source joins, security models, and AI-ready semantic enrichment. You’ll build the backend systems, data pipelines, connector frameworks, and graph-based knowledge models that fuel agentic applications.

If you've worked on streaming unstructured pipelines, built connectors into ugly legacy systems, or mapped knowledge graphs that scale — this role will feel like home.

Responsibilities

Build highly reliable, scalable data ingestion and transformation pipelines across structured, semi-structured, and unstructured data sources
Develop and maintain a connector framework for ingesting from enterprise systems (ERPs, PLMs, CRMs, legacy data stores, email, Excel, docs, etc.)
Design and maintain the data fabric layer — including a knowledge graph (Neo4j or Puppygraph) enriched with ontologies, metadata, and relationships
Normalize and vectorize data for downstream AI/LLM workflows — enabling retrieval-augmented generation (RAG), summarization, and alerting
Create and manage data contracts, access layers, lineage, and governance mechanisms
Build and expose secure APIs for downstream services, agents, and users to query enriched semantic data
Collaborate with ML/LLM teams to feed high-quality enterprise data into model training and tuning pipelines

What We’re Looking For

Core Experience:

5+ years building large-scale data infrastructure in production environments
Deep experience with ingestion frameworks (Kafka, Airbyte, Meltano, Fivetran) and data pipeline orchestration (Airflow, Dagster, Prefect)
Comfortable processing unstructured data formats: PDFs, Excel, emails, logs, CSVs, web APIs
Experience working with columnar stores, object storage, and lakehouse formats (Iceberg, Delta, Parquet)
Strong background in knowledge graphs or semantic modeling (e.g. Neo4j, RDF, Gremlin, Puppygraph)
Familiarity with GraphQL, RESTful APIs, and designing developer-friendly data access layers
Experience implementing data governance: RBAC, ABAC, data contracts, lineage, data quality checks

Mindset & Culture Fit:

You’re a system thinker: you want to model the real world, not just process it
Comfortable navigating ambiguous data models and building from scratch
Passionate about enabling AI systems with real-world, messy enterprise data
Pragmatic about scalability, observability, and schema evolution
Value autonomy, high trust, and meaningful ownership over infrastructure

Bonus Skills

Prior work with vector DBs (e.g. Weaviate, Qdrant, Pinecone) and embedding pipelines
Experience building or contributing to enterprise connector ecosystems
Knowledge of ontology versioning, graph diffing, or semantic schema alignment
Familiarity with data fabric patterns (e.g. Palantir Ontology, Linked Data, W3C standards)
Familiar with fine-tuning LLMs or enabling RAG pipelines using enterprise knowledge
Experience enforcing data access policy with tools like OPA, Keycloak, Snowflake row-level security

Why This Role Matters

Agents are only as smart as the data they operate on. This role builds the foundation — the semantic, governed, connected substrate — that makes autonomous decision-making and agent action possible. From factory ERP records to geopolitical news alerts, the data fabric unifies it all.

If you're excited to tame complexity, unify chaos, and power intelligent systems with trusted data — we’d love to hear from you.

Apply Now

Refine Your Search

application developer data governance jobs in san francisco, ca

Data Engineer (Founding Team)

Security Engineer

Cyber AI Data Engineer Senior Consultant

Staff Software Engineer, Data Platform

Sr. Data Platform Engineer

Data Engineer (SMTS / LMTS) - MDM

Digital Execution Lead, Digital Delivery for Construction Execution, Google Data Centers

Senior Manager, Data Engineering

More jobs to discover

Explore jobs in cities nearby

I want to receive the latest job alert for application developer data governance in san francisco, ca

Explore jobs in more locations

About the Role

Responsibilities

What We’re Looking For

Why This Role Matters

Job Seeker Tools

Employer Tools

Browse

Stay Connected