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Lead Data Engineer

US🌐 Remote💼 Full-time🗓 2026-09-22 → 2026-09-25

Core

Lead a Data Engineering team to build reliable, scalable data foundations supporting reporting, analytics, and data-driven products across the organization.

Role type

Senior IC Lead Data Engineer (Team Leadership)

Builds

Scalable data pipelines, integrations, warehouses, and supporting infrastructure

Domain

Enterprise data infrastructure and analytics

Deliverable

production ML models | product features | infrastructure

Required skills

Data pipeline design, ETL/ELT processes, data warehousing, SQL, Python/Java/Scala, cloud data platforms, orchestration frameworks, data architecture, data modeling, performance optimization, data quality practices

Preferred skills

AWS/Azure/GCP, Airflow/dbt, Kafka/Spark, infrastructure-as-code, CI/CD, scaling data engineering functions

Technologies

SQL, Python, Java, Scala, AWS, Azure, Google Cloud Platform, Airflow, dbt, Kafka, Spark

Responsibilities

Lead, mentor, and develop the Data Engineering team; Manage team priorities and delivery plans; Provide technical direction across architecture and system design; Design, build, and optimize scalable data pipelines and infrastructure; Establish standards for data architecture, modeling, and data quality; Remain hands-on to resolve complex technical problems; Partner with stakeholders to translate business requirements into data solutions; Evaluate technologies to improve data scalability and management

Seniority

Senior, hands-on IC with leadership responsibilities

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