Snorkel AI

3 months ago

Staff Software Engineer - Core Services

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and scale Snorkel AI's data platform by developing shared data access libraries and event-driven pipelines, shaping governance, RBAC, and lineage across multi-source workloads. You’ll work on the core Infrastructure data platform, enhance CI/CD, and apply AI-assisted tooling to improve developer velocity and reliability. Collaborate with Platform, Packaging, and Dataset API teams to enable enterprise-grade data flows.

Location: Redwood City, San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
•Design and implement event-driven data flows using event brokers, CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
•Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
•Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
•Contribute to infrastructure cost visibility and optimization - query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.

Pay and Benefits

Salary: USD 240,000 - 275,000 annually

Key Requirements

•8+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
•Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
•Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
•Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment
•Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.

Experience:8+ yearsData infrastructureBackendCloudAi

Skills:PythonSQLSnowflakeRedshiftPostgresAWSS3RDSEKSEventBridgeIAMKubernetesPrefectAirflowDagsterDbtOpenTelemetryAI-assisted development tools

Languages:English

Tech Stack:PythonSnowflakeS3RDSPostgresAWSEKSKubernetesTerraformOpenTelemetryPrefectAirflowDagsterDbtGitHub ActionsBuildkite

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn

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Snorkel AI

3 months ago

Staff Software Engineer - Core Services

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Redwood City, San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
•Design and implement event-driven data flows using event brokers, CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
•Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
•Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
•Contribute to infrastructure cost visibility and optimization - query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.

Pay and Benefits

Salary: USD 240,000 - 275,000 annually

Key Requirements

•8+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
•Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
•Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
•Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment
•Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.

Experience:8+ yearsData infrastructureBackendCloudAi

Skills:PythonSQLSnowflakeRedshiftPostgresAWSS3RDSEKSEventBridgeIAMKubernetesPrefectAirflowDagsterDbtOpenTelemetryAI-assisted development tools

Languages:English

Tech Stack:PythonSnowflakeS3RDSPostgresAWSEKSKubernetesTerraformOpenTelemetryPrefectAirflowDagsterDbtGitHub ActionsBuildkite

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn