Staff Data Engineer
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Some ghost-posting signals
- open for 303 days (90+ without a fill is a strong ghost signal)
- 48 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
What You’ll Do
Design, build, and maintain scalable data pipelines and ETL/ELT processes
Architect and optimize data models and storage solutions for analytics and operational use
Collaborate with data scientists, analysts, and engineers to deliver trusted, high-quality datasets
Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake)Implement observability, alerting, and data quality monitoring for critical pipelines
Drive best practices in data engineering, including documentation, testing, and CI/CD
Contribute to the design and evolution of our next-generation data lakehouse architecture
What We’re Looking For
8+ years of experience as a Data Engineer or in a similar backend engineering role
Strong programming skills in Python, Scala, or Java Hands-on experience with HBase or similar NoSQL columnar stores
Hands-on experience with distributed data systems like Spark, Kafka, or Flink
Proficient in writing complex SQL and optimizing queries for performance
Experience building and maintaining robust ETL/ELT pipelines in production
Familiarity with workflow orchestration tools (Airflow, Dagster, or similar)
Understanding of data modeling techniques (star schema, dimensional modeling, etc.)
Why You’ll Love Working Here
Data with purpose: Work on problems that directly impact how the world builds secure software
Modern tooling: Leverage the best of open-source and cloud-native technologies
Collaborative culture: Join a passionate team that values learning, autonomy, and impact
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