Senior Data Engineer
Stellar is an open-source blockchain network designed to facilitate fast, low-cost cross-border payments and financial transactions globally.
Maintainer signals as of 8/12/2026
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
About the Role
You will design, build, orchestrate, and maintain scalable data pipelines and ETL workflows for the Hubble analytics dataset. You will analyze large transaction datasets using SQL to validate data and surface insights about liquidity, adoption, and smart contract usage. You will improve observability, data quality, and freshness across data marts and implement data governance practices such as cataloging and quality controls. You will translate product and community requests into data products, build dashboards and KPIs to enable self-service analytics, and write production-grade code in Python or Golang. You will operate and maintain schedulers such as Airflow or Dagster and work with modern warehousing tools like dbt and cloud data stacks.
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
- Proficient programming 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 with many plans covered at 100% for employee and dependents
- Flexible time off plus 15 company holidays and a company-wide holiday break
- Up to 12 weeks paid parental leave for birthing and non-birthing parents and up to 14 weeks paid pregnancy leave for birthing parents
- Gym reimbursement of $80 per month
- Life and AD&D insurance up to $50,000
- Short and long term disability
- 401(k) with 4% employer match
- Health and Dependent Care FSA accounts
- Commuter benefits with $250 per month employer contribution
- Health Savings Account with monthly 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