Staff Data Engineer

Artisan

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience as a Data Engineer
  • Proficiency in Python, SQL, and modern data tools like dbt and Airflow
  • Experience with designing and operating ETL/ELT pipelines
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Strong understanding of data modeling and optimization

Responsibilities

  • Design, build, and maintain scalable data pipelines
  • Manage data ingestion from various internal and external sources
  • Develop data models and schemas optimized for machine learning
  • Collaborate with teams to prepare datasets for ML applications
  • Implement data quality monitoring and validation
  • Optimize data systems for performance and reliability
  • Contribute to early architecture and governance best practices

Benefits

  • Work in a fast-paced, innovative environment
  • Opportunity to establish foundational data processes and infrastructure
  • Collaborate with cross-functional teams in a dynamic role
  • Potential for remote work flexibilities
  • Be a key player in a team that drives significant data initiatives
Full Job Description
Role overview

You'll be the first Data Engineer on the Artisan team! We're managing a database of hundreds of millions of leads and creating real-time intent signals which monitor data fields for those leads. You'll own everything data-related at Artisan.
  • 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
  • Work closely with product engineers to support new features that rely on complex data flows
  • Optimize systems for performance, cost, and reliability
  • Contribute to early architecture decisions, infrastructure design, and best practices for data governance
  • Build tooling that enables the entire team to access clean, well-structured data


Location: San Francisco, New York, or Remote USA

Team: Engineering

Reports to: CPTO, Sam Stallings

Who you are
  • 3+ years of experience as a Data Engineer
  • Proficiency in Python, SQL, and modern data tooling (dbt, Airflow, Dagster, or similar)
  • Comfort working in fast, ambiguous environments
  • 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 integrating APIs and working with semi-structured data (JSON, logs, event streams)
  • Strong understanding of data modeling and optimization
  • Bonus: experience supporting LLMs, embeddings, or ML training pipelines
  • Bonus: startup experience


Interview process
  1. Introductory chat with our recruiter
  2. 1 hour technical interview with an engineer
  3. 1 hour technical interview with an engineer
  4. 30-minute interview with Sam, our CPTO
  5. 15-minute culture and values interview with Jaspar, our CEO


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