Artisan

3 months ago

Staff Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

You will be the first Data Engineer at Artisan, owning all data at scale. Design and build scalable pipelines for hundreds of millions of leads, ingest from APIs and internal systems, model data for ML, collaborate with ML engineers, and drive data governance and observability to enable real-time insights and rapid product iteration.

Location: New York, San Francisco, United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, build, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data
•Manage ingestion from third-party APIs, internal systems, and customer datasets
•Develop and maintain data models, data schemas, and storage systems optimized for ML and product performance
•Collaborate with ML engineers to prepare model-ready datasets, embeddings, feature stores, and evaluation data
•Implement data quality monitoring, validation, and observability

Pay and Benefits

Salary: USD 200,000 - 270,000 annually

Key Requirements

•3+ years of experience as a Data Engineer
•Proficiency in Python, SQL, and modern data tooling (dbt, Airflow, Dagster, or similar)
•Experience designing and operating ETL/ELT pipelines in production
•Experience with cloud platforms (AWS, GCP, or Azure)
•Familiarity with data lakes, warehouses, and vector databases

Experience:3+ yearsAIData engineeringStartupSaaS

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonSQLDbtAirflowDagsterAWSGCPAzureETL/ELTData lakesData warehousesVector databasesJSONAPIs

Eligibility

Visa:US citizen/visa only

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Artisan

Operates a curated talent marketplace that connects companies with vetted freelance and contract software engineers, designers, and product builders to staff projects and augment engineering teams.

Industry: Recruitment Agencies

Website

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Artisan

3 months ago

Staff Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: New York, San Francisco, United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, build, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data
•Manage ingestion from third-party APIs, internal systems, and customer datasets
•Develop and maintain data models, data schemas, and storage systems optimized for ML and product performance
•Collaborate with ML engineers to prepare model-ready datasets, embeddings, feature stores, and evaluation data
•Implement data quality monitoring, validation, and observability

Pay and Benefits

Salary: USD 200,000 - 270,000 annually

Key Requirements

•3+ years of experience as a Data Engineer
•Proficiency in Python, SQL, and modern data tooling (dbt, Airflow, Dagster, or similar)
•Experience designing and operating ETL/ELT pipelines in production
•Experience with cloud platforms (AWS, GCP, or Azure)
•Familiarity with data lakes, warehouses, and vector databases

Experience:3+ yearsAIData engineeringStartupSaaS

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonSQLDbtAirflowDagsterAWSGCPAzureETL/ELTData lakesData warehousesVector databasesJSONAPIs

Eligibility

Visa:US citizen/visa only

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Artisan

Operates a curated talent marketplace that connects companies with vetted freelance and contract software engineers, designers, and product builders to staff projects and augment engineering teams.

Industry: Recruitment Agencies

Website