Senior Staff Data Engineer
Skills
Computer ScienceAmdocs CRMApache SparkConfiguration ManagementContinuous ImprovementData AnalyticsData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 12+ years of software engineering experience in Python or Java
- 7+ years designing building and managing data pipelines with Spark BigQuery AWS EMR and GCP Cloud Analytics
- 7+ years crafting REST API based microservices and scalable products using cloud platforms ideally AWS
- Experience with cloud data warehouse and analytics platforms such as Snowflake and BigQuery
- Experience with observability tools such as Prometheus Grafana and ELK stack
- Experience with data pipeline expectations frameworks such as Monte Carlo Data Great Expectations or Soda
- Experience working with containers such as Docker and Kubernetes
- Experience with messaging platforms and stream processing such as Kafka Flink or Pub/Sub
- Strong understanding of engineering processes lifecycle methodology configuration management release management and system verification and testing
- Bachelor’s Degree in Computer Science Mathematics or a similar field
- Legal right to work in the U.S.
Nice to have
- Independent
- Analytical
- Detail-oriented
- Collaborative
- Mentoring mindset
- Continuous improvement
Day to day
- Design and build high-performance reporting APIs and scalable data pipelines for audio advertising data systems.
- Lead architecture discussions and collaborate across engineering, product, operations, and cloud infrastructure teams to deliver reliable data products.
- Automate and improve data onboarding, support production deployments, and mentor junior engineers to strengthen team execution.