Note: The job is a remote job and is open to candidates in USA. Hirewell is seeking a Lead Data Engineer to provide technical leadership while remaining deeply hands-on. In this role, you will build, operate, and optimize enterprise-scale data pipelines across various technologies while helping shape the future of a modern cloud-native data platform.
Responsibilities
- Build and maintain scalable data pipelines and data products
- Optimize Snowflake performance, architecture, and cloud costs
- Design cloud-native data solutions across AWS
- Own production support, pipeline reliability, and incident resolution
- Develop data quality, monitoring, and observability standards
- Partner with engineering, analytics, and cloud teams to drive technical initiatives
Skills
- 6+ years of Data Engineering experience
- Strong hands-on experience with Python, SQL/T-SQL, Snowflake, Airflow, and AWS
- Experience building enterprise-scale data pipelines across APIs, SQL databases, PostgreSQL, MongoDB, and SFTP sources
- Experience supporting production environments and designing cloud-native data architectures
- Strong technical leadership experience without direct people management
- Experience working in regulated environments (PII, PCI, HIPAA, SOC2, GDPR, etc.)
- Dbt, AWS Glue, Databricks
- Kafka, Kinesis, or Flink
- Snowflake Cortex or AI/LLM experience
- AWS Solutions Architect or Snowflake SnowPro certifications
Benefits
- 100% remote within the U.S.
- Technical leadership role with significant hands-on engineering
- Opportunity to modernize and scale an enterprise data platform
- High visibility and influence on architecture, engineering standards, and platform strategy
Company Overview