Snorkel AI

3 months ago

Senior Software Engineer - Core Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Software Engineer role within Snorkel AIs Infrastructure and Core Services, focused on building a multi-source data platform with event-driven pipelines, governance, and observability. You will shape data access layers, RBAC, lineage, and OpenTelemetry-driven monitoring while optimizing costs and contributing to CI/CD modernization in a hybrid, on-site environment across two San Francisco Bay Area locations.

Location: Redwood City, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and maintain the shared data access library and SDKs used by Platform, Packaging, and Dataset API teams 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. Ensure events flow reliably and failures are visible and recoverable.
•Build systems that track how data moves through the platform (lineage), enforce access controls (governance and RBAC), and log activity (auditing), including 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 for pre-incident detection; on-call for the systems you build.
•Contribute to infrastructure cost visibility and optimization, including query cost estimation, workload right-sizing, and routing data to cost-effective storage tiers.

Pay and Benefits

Salary: USD 172,000 - 215,000 annually

Key Requirements

•4+ 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\'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:4+ yearsData platformCloud infrastructureBackend systems

Skills:Problem-solvingCommunicationCollaborationAttention to detail

Languages:English

Tech Stack:PythonSnowflakeRedshiftPostgresAWSS3RDSEKSEventBridgeIAMKubernetesPrefectAirflowDagsterDbtOpenTelemetryTerraformCI/CDBuildkiteGitHub Actions

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

Loading job details...

Preparing the role view and application actions.

Snorkel AI

3 months ago

Senior Software Engineer - Core Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Redwood City, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and maintain the shared data access library and SDKs used by Platform, Packaging, and Dataset API teams 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. Ensure events flow reliably and failures are visible and recoverable.
•Build systems that track how data moves through the platform (lineage), enforce access controls (governance and RBAC), and log activity (auditing), including 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 for pre-incident detection; on-call for the systems you build.
•Contribute to infrastructure cost visibility and optimization, including query cost estimation, workload right-sizing, and routing data to cost-effective storage tiers.

Pay and Benefits

Salary: USD 172,000 - 215,000 annually

Key Requirements

•4+ 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\'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:4+ yearsData platformCloud infrastructureBackend systems

Skills:Problem-solvingCommunicationCollaborationAttention to detail

Languages:English

Tech Stack:PythonSnowflakeRedshiftPostgresAWSS3RDSEKSEventBridgeIAMKubernetesPrefectAirflowDagsterDbtOpenTelemetryTerraformCI/CDBuildkiteGitHub Actions

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