
Software Engineering Manager, Data Investigation
- Seattle, WA
- Permanent
- Full-time
- Manage day-to-day operations, workload distribution, and career growth of the team members.
- Review and provide feedback on analytical methods, modeling approaches, and data visualizations.
- Champion data quality in analytics engineering processes.
- Align data quality initiatives with broader ASE and Apple business goals.
- Build relationships across engineering, researchers, product, and leadership to ensure data quality is integrated into data products.
- See opportunities to improve emerging tools and technologies in big data, cloud, and machine learning.
- BS in a quantitative field (Computer Science, Engineering, Mathematics, or related).
- 8+ years of experience in data analytics, data engineering, or related fields, with at least 3 years in a leadership role.
- Proven experience leading high-performing analytics or data science teams.
- Proficiency in SQL, Python, and visualization tools such as Tableau or Keynote.
- Strong understanding of statistical analysis and data modeling.
- Excellent communication skills - able to explain complex data findings to technical or non-technical collaborators
- Hands-on experience with big data technologies (Spark, Hive, Flink, Airflow, etc.).
- Familiarity with cloud environments and container technologies (e.g. Kubernetes).
- Experience guiding analytics in commerce, payments, or large-scale online services.
- Background in developing scalable data pipelines and automation solutions.