Elastic
Lead Data Engineer
$113K–$215K
United States · Full-time · Posted Oct 6, 2026
- Experience
- 8+ years of experience in data engineering or related roles.
- Visa sponsorship
- Applicants located in or nationals of listed sanctioned countries or regions may require an export license as a condition of employment.
About the job
Leads development and stewardship of a company data platform, building reliable data pipelines and infrastructure and helping teams use data effectively.
What you'll do
- Design, maintain, and improve data pipelines and infrastructure across ingestion, streaming, transformation, and delivery.
- Partner with stakeholders on data flows and contracts, document the platform, and guide teammates.
- Monitor pipeline performance, manage GCP resources with Terraform, review code, and support access and compliance processes.
What they ask for
- Experience with Apache Airflow, Spark, Flink, Kafka, and dbt Labs.
- Understanding of Apache Iceberg, data warehouse and lakehouse strategies, and OLAP, OLTP, Document, and Vector databases.
- Terraform and Google Cloud Platform (GCP) experience; proficiency in Bash, Python, and SQL.
- 8+ years of experience in data engineering or related roles.
Nice to have
- Experience with data security and access controls for SOX Compliant data.
- Experience and knowledge of the Elastic stack.
Pay
$113,100 — $178,900 USD (base salary); $135,900 — $215,100 USD (base salary)
Tools
Apache Airflow, Spark, Iceberg, Kafka, Flink, dbt Labs, Terraform, Google Cloud Platform (GCP)
Model-written summary · the original posting is authoritative