Senior Data Engineer
Job Summary
As a fully remote opportunity, the Senior Data Engineer will design, build, and maintain data pipelines and models for the enterprise lakehouse, delivering robust ELT/ETL solutions while mentoring junior engineers.
Key responsibilities
- Design and implement scalable batch and streaming data pipelines using Apache Spark, Kafka, and Flink
- Build and maintain the Bronze/Silver/Gold medallion architecture within the lakehouse
- Develop and optimize complex SQL and PySpark transformations for large-scale datasets
Required qualifications
- 6+ years of data engineering experience with a track record of enterprise-scale delivery
- Expert proficiency in Python and SQL; PySpark experience required
- Hands-on experience with Apache Spark, Delta Lake, or Apache Iceberg
- Bachelor's degree in Computer Science, Engineering, or related technical field
- Experience with orchestration tools: Apache Airflow, Prefect, or Dagster
Complete Job Description
The complete job description is available to members. Premium membership includes:
Full access to 47,805 remote jobs from human-vetted companies, updated daily
Resume Builder - AI-powered tool to craft, enhance, and tailor your resume to a specific job
Twice-monthly live group coaching and the full Remote Career Center
20% member discount on Career Services
Backed by a 30-day money-back guarantee
Company Company Name
Headquarters Headquarters
Founded Founded
Website
Wikipedia Wikipedia URL
The company description is available to members. Go Premium for full access to every job and company profile in our remote jobs database, backed by a 30-day money-back guarantee.
