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Senior Data Engineer at Stellar Development Foundation – San Francisco | Jobyssey

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Senior Data Engineer

Senior Data Engineer

Stellar Development Foundation · San Francisco, California, United States · 1 year ago

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Work mode: Onsite
Seniority: Senior
Category: Data engineering
Experience: 5+ years

airflow analytics aws aws-glue blockchain ci-cd cloud cryptocurrency dagster data-engineering

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data-governance

data-warehousing

machine-learning

Design, build, and maintain data pipelines and ETL processes for the publicly available Hubble analytics dataset. Analyze large blockchain datasets, improve data observability and quality, maintain data marts, and make insights accessible through dashboards, KPIs, and SQL interfaces.

Responsibilities

Design data pipelines
Build and orchestrate ETL workflows
Maintain data marts and pipelines
Perform ad hoc data analysis and transformation
Improve data observability and freshness
Translate priorities into data products
Enable self-service analytics via dashboards and SQL interfaces
Validate and ensure data quality

Requirements

5+ years professional experience in data engineering, machine learning engineering, or software engineering
Experience with modern data warehousing concepts and ETL frameworks such as dbt, Fivetran, Databricks, or Talend
Proficiency in SQL for analyzing large datasets
Experience with ETL schedulers such as Apache Airflow, Dagster, or AWS Glue
Proficient programming in Python or Go
Strong communication skills for explaining data insights to non-technical stakeholders
Comfort working on a small, growing team with autonomy
Preferred: cloud data stack experience, preferably Google Cloud Platform
Preferred: experience with CI/CD pipelines
Preferred: experience administering BI tools and building visualizations
Preferred: knowledge of data governance practices including data cataloging and data quality
Preferred: curiosity about blockchain and cryptocurrency fundamentals

Benefits

Lumen-denominated grants