Senior Data Engineer — Stellar Network Pipelines & Insights

Yeah! Global; San Francisco (CA); Hybrid; USD 130,000 - 160,000; Full time

Job summary

A growing technology company is seeking a Senior Data Engineer to work in a hybrid setting. The ideal candidate will have over 5 years of experience in data engineering and proficiency in SQL, Python, and ETL frameworks. Responsibilities include designing data pipelines, conducting ad hoc analyses, and ensuring data quality. The role offers a chance to innovate within a small team and demands excellent communication skills to convey complex insights to stakeholders. Enthusiasm for blockchain technologies is a plus.

Qualifications

• 5+ years of experience in data engineering, software engineering, or machine learning.
• Strong understanding of modern data warehousing and ETL frameworks.
• Ability to analyze large datasets using SQL and validate data.

Responsibilities

• Design and maintain data pipelines for the Stellar network.
• Conduct data analysis to provide insights.
• Improve observability and quality of data marts.

Skills

Data engineering

SQL

Python

Communication

ETL frameworks

Tools

Apache Airflow

GCP data stack

Databricks

Job description

A growing technology company is seeking a Senior Data Engineer to work in a hybrid setting. The ideal candidate will have over 5 years of experience in data engineering and proficiency in SQL, Python, and ETL frameworks. Responsibilities include designing data pipelines, conducting ad hoc analyses, and ensuring data quality. The role offers a chance to innovate within a small team and demands excellent communication skills to convey complex insights to stakeholders. Enthusiasm for blockchain technologies is a plus.