Senior Data Engineer (Hybrid)

Overview

About the job Senior Data Engineer (Hybrid). Note: This position does not offer any visa sponsorship.

Responsibilities

• Design, build, orchestrate, and maintain data pipelines to provide unique insights into the liquidity, adoption, and usage of the Stellar network.
• Conduct ad hoc data analysis to clean, transform, and distill key insights about the Stellar Network.
• Improve the observability and maintainability of our data marts, ensuring data usage, quality, and freshness.
• Translate business priorities and community requests into data products that support data-driven decision-making.
• Enhance data accessibility by promoting the self-service adoption of dashboards, KPIs, and SQL interfaces.

Required Skills

• 5+ years of professional experience in data engineering, machine learning, or software engineering.
• Strong understanding of modern data warehousing concepts and hands-on experience with ETL frameworks such as dbt, Fivetran, Databricks, or Talend.
• Demonstrated ability to analyze large datasets using SQL to validate data and extract insights.
• Expertise with ETL schedulers like Apache Airflow, Dagster, AWS Glue, or similar frameworks.
• Proficient programming skills in languages such as Python or Golang.
• Excellent communication skills, capable of explaining complex data insights to non-technical stakeholders.
• Enthusiasm for working in a small, growing team with the freedom to innovate and set direction.

Desirable Skills and Experience

• Cloud development experience, particularly with the GCP data stack.
• Proficiency with CI/CD pipelines.
• Experience in administering BI tools and building compelling visualizations.
• Understanding of data governance best practices including data cataloging, quality control, and usability.
• Strong interest in blockchain technologies and cryptocurrencies, with a basic understanding of these systems.