Senior Data Engineer
Stellar is an open-source blockchain network designed to facilitate fast, low-cost cross-border payments and financial transactions globally.
Funding history
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About Stellar Development Foundation
Stellar is an open-source blockchain network focused on improving global financial access by enabling fast, secure, and low-cost cross-border transactions. It connects financial institutions, payment systems, and individuals to transfer digital and fiat assets. With a mission to promote financial inclusion, Stellar is designed to serve both developed and underserved markets, offering interoperability between traditional and blockchain-based financial systems.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design, build, orchestrate, and maintain scalable data pipelines and ETL workflows for the Hubble analytics dataset. Analyze large transaction datasets using SQL, improve data quality and freshness, implement governance practices, build dashboards and KPIs, and write production-grade Python or Golang code.
Requirements
- 5+ years of professional data engineering, ML, or software engineering experience
- Hands-on experience with ETL frameworks such as dbt, Fivetran, Databricks, or Talend
- Strong SQL skills and experience analyzing large datasets
- Experience with ETL schedulers such as Apache Airflow, Dagster, or AWS Glue
- Proficiency in Python or Golang
- Excellent communication skills with non-technical stakeholders
- Cloud data stack experience preferred, especially GCP
- Familiarity with CI/CD pipelines preferred
- Experience administering BI tools and creating visualizations preferred
- Knowledge of data governance, data cataloging, and data quality practices preferred
- Curiosity about blockchain technologies and smart contracts preferred
Responsibilities
- Design and implement scalable data pipelines and ETL workflows
- Orchestrate and maintain ETL schedulers and workflows
- Perform ad hoc and scheduled data analysis using SQL
- Improve observability, data quality, and freshness of data marts
- Translate business and community requests into data products
- Build dashboards and KPIs to enable self-service analytics
- Maintain and enhance the Hubble public analytics dataset
- Write production-grade code in Python or Golang
Benefits
- Competitive health, dental, and vision coverage
- Flexible time off, company holidays, and company-wide holiday break
- Paid parental and pregnancy leave
- Gym reimbursement of $80 per month
- Life and AD&D insurance
- Short- and long-term disability coverage
- 401(k) with 4% employer match
- Health and Dependent Care FSA accounts
- Commuter benefits with $250 per month employer contribution
- Health Savings Account with employer contribution
- Family building benefits through Kindbody
- Wellbeing benefits including One Medical, Rightway, and Headspace
- Learning and development budget of $1,500 per year
- Daily lunch and snacks in office
- Company retreats
- Lumen-denominated grants
