Senior Data Engineer (Hybrid - Glendale, CA Onsite Mon & Thurs)
We're looking for a Senior Data Engineer to join our fast-paced team focused on building scalable data solutions that power insights and innovation. This is a hybrid role requiring onsite work in Glendale, CA two days a week (Monday & Thursday).
You'll play a key role in enhancing our Core Data platform, collaborating cross-functionally, and driving forward best practices in data engineering. If you're passionate about turning complex data into real-world impact, we want to hear from you.
What You'll Do
- Maintain and expand high-performance data pipelines.
- Build tools for data discovery, governance, privacy, and lineage.
- Collaborate with engineers, product managers, and architects on platform enhancements.
- Work with modern tools like Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS.
- Ensure data quality, reliability, and SLAs are met across teams.
- Participate in Agile/Scrum ceremonies and continuous improvement efforts.
- Document your work to support governance and compliance.
What We're Looking For
- 7+ years of experience in data engineering.
- Strong skills in Python, Java, or Scala.
- Advanced SQL expertise for complex data analysis.
- Production experience with Spark, Airflow, and Databricks.
- Bonus: Experience with Snowflake.
- Solid understanding of AWS or other cloud platforms and infrastructure as code.
- Familiar with data modeling, warehousing best practices, and OLTP/OLAP systems.
- Excellent problem-solving, communication, and collaboration skills.
- Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
Why Join Us?
- Work on impactful, large-scale data projects.
- Collaborate with a smart, supportive team.
- Stay at the forefront of modern data engineering tools and practices.
- Hybrid flexibility with meaningful in-person collaboration.
Location: Glendale, CA (Onsite Mon & Thurs)
Hybrid