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Lead Data Engineer

Company
Elastic
Location
United States
Salary
113 000–215 000 $/yr
Posted
2026-10-15

Skills: Bash, Python, SQL, Spark, Flink, Kafka, dbt, Terraform, Airflow, GCP, Iceberg

- Proficient in programming languages, particularly Bash, Python, and SQL - Experience with Spark, Flink, Kafka, and dbt Labs for data processing and transformation - Skilled in using Terraform for infrastructure-as-code deployments - Bonus: Proven experience with data security and access controls for SOX Compliant data - Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases - 8+ years of experience in data engineering or related roles - Bonus: Experience and knowledge of the Elastic stack - Experience with Apache Airflow for orchestrating data workflows - Experience with Google Cloud Platform (GCP) for cloud resource management - Understanding of Apache Iceberg for data table formats and data warehouse and lakehouse strategies

Join our Data Engineering & Architecture team as a Lead Data Engineer. In this role, you will design, maintain, and improve the pipelines and infrastructure that power our data platform. You will work across the full data lifecycle, collaborate with stakeholders, and help define how data should flow across systems. Additionally, you will monitor and refine pipeline performance, use Terraform for resource management, and support compliance with platform policies. Enjoy benefits such as fully paid health coverage, flexible location and schedule, generous vacation days, parental leave, volunteer time off, and charitable donation matching.

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