Senior Data Engineer: Build Scalable Data Pipelines

The Bitcoin Street Journal; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Alchemy is building the data platform to understand product usage, revenue, and the cost of serving customers. You will own ingestion, schema changes, and checks to ensure shared datasets are current and correct, partnering with analytics engineers and data scientists to define datasets for reporting, analysis, and AI tools.

You will build batch and streaming pipelines that connect operational databases, product events, billing systems, and external sources.

Qualifications

• Strong SQL and Python skills with testing and maintainable design.
• Experience with Snowflake or a comparable warehouse and access management.
• Experience with workflow orchestration tools such as Airflow and dbt.

Responsibilities

• Build batch and streaming pipelines connecting operational databases, product events, and billing systems.
• Own ingestion, schema changes, and data quality checks to ensure datasets are current and correct.
• Collaborate with analytics engineers and data scientists to define datasets for reporting and AI-assisted tools.
• Improve orchestration, deployment workflows, and production readiness of pipelines.

Skills

SQL

Python

Data quality

debugging

stakeholder communication

Education

Bachelor’s degree in CS/SE or related field

Tools

Snowflake

Airflow

dbt

Job description

Alchemy is building the data platform to understand product usage, revenue, and the cost of serving customers. You will own ingestion, schema changes, and checks to ensure shared datasets are current and correct, partnering with analytics engineers and data scientists to define datasets for reporting, analysis, and AI tools.

You will build batch and streaming pipelines that connect operational databases, product events, billing systems, and external sources.