Related skills
looker sql apache spark spring boot apache airflow📋 Description
- Design and build APIs and backend services with Spring Boot for data products.
- Develop data pipelines and ETL workflows using Spark and Airflow.
- Optimize storage, queries, and processing for reliability and scale.
- Collaborate with cross‑functional teams to deliver analytics solutions.
- Mentor junior engineers and promote best practices.
🎯 Requirements
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent).
- 8+ years of software/data engineering with Spark and Airflow.
- Expertise with Druid, StarRocks, or Trino.
- Strong understanding of SOLID principles and distributed systems.
- Experience with distributed data processing, warehousing, and real-time pipelines.
- Advanced SQL skills and query optimization for large datasets.
- Experience with AWS, GCP, or Azure and Docker/Kubernetes (preferred).
- Strong programming skills in Python, Java, or Scala (preferred).
🎁 Benefits
- Health, dental, vision, life, and disability insurance
- Mental health and financial wellness programs
- Parental leave and wellness benefits
- 401(k)/pension options
- Paid time off and holidays
- Hybrid work with remote Fridays
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!