Lead Data Engineer
- Location
- Remote
- Employment
- Full-time
- Level
- Specialist
- Category
- Data & Analytics
- Posted
Description
Lead Data Engineer
Requirements:
- 5+ years of experience in Data Engineering, Analytics Engineering, or a related field
- Strong SQL skills and experience with complex data transformations
- Hands-on experience with modern data platforms such as BigQuery, Databricks, or Snowflake
- Strong experience with ETL/ELT, data orchestration, and data warehousing/lakehouse solutions
- Experience with Airflow, dbt, Spark, and streaming technologies such as Kafka or Kinesis
- Proficiency in Python
- Strong understanding of data modeling and analytics-ready datasets
- Experience working with stakeholders to define requirements and deliver data solutions
- Experience with data quality, metadata, and scalable data pipelines
- Strong English communication skills
- Ability to work with US overlap
Nice to have:
- Data governance, lineage, or metadata management
- Experience with cross-domain data such as customer, product, or transaction data
- Financial services or other data-intensive industry experience
- Experience with data platform migration or evolution toward Databricks
- Dimensional modeling, data marts, and reusable datasets
- Airflow / Cloud Composer
Company offers:
- Long-term employment with possibilities for professional growth
- Fully remote work
- Reasonably flexible schedule
- 15 days of paid vacation
- Regular performance reviews
Apply at the source
This role was published by Launch & Scale and listed via Djinni. Applications are handled there, not on this site.
Original posting: https://djinni.co/jobs/844292-lead-data-engineer/