Skip to content

Staff Data Engineer
Company | Sovrn |
---|
Location | Boulder, CO, USA |
---|
Salary | $165000 – $200000 |
---|
Type | Full-Time |
---|
Degrees | |
---|
Experience Level | Senior, Expert or higher |
---|
Requirements
- 7+ years of software engineering experience and a passion for learning
- Strong scala and python skills with an expert understanding of backend and data engineering design patterns
- A deep understanding of big data processing environments such as Spark and Databricks.
- Demonstrated experience with data processing using Spark in a production environment.
- Proven experience with orchestration tools such as Airflow and MWAA.
- Experience working in the Cloud Computing ecosystem. We use AWS heavily, but we are open to GCP, Azure, etc.
- Experience with infrastructure as code tools like Terraform and AWS CloudFormation.
- Deep understanding of relational databases, big data tables, and noSQL databases.
- Able to triage, debug, and permanently fix complex and convoluted data processing issues.
- Possesses a mature understanding of the product domain and architecture.
Responsibilities
- Lead architecture design, table definition, metric consistency, data modeling, and implementation of big data solutions and analytics applications.
- Work with the latest big data and analytics technologies to break down complex deliverables using industry leading big data design strategies.
- Leader for governance of business-critical product data sets within Sovrn’s data warehouse and ensure their readiness for data analysts and other internal business users.
- Architect components and configurations required for data pipeline implementation in AWS and Databricks.
- Architect data pipeline metrics to monitor performance, accuracy, and availability.
- Enable a team to research, implement, and evolve methods to process our data.
- Optimize data processing and data access to business intelligence tools.
- Work across the organization to enable business growth and development through data services and data models.
- Spot and diagnose stability issues and author improvements.
- Lead the developers with the security team to implement and maintain robust data security measures.
- Ensure compliance with relevant data governance and privacy regulations.
Preferred Qualifications
- Desire for professional growth opportunities and to be in a dynamic learning environment
- Ability to efficiently multi-task and to work cooperatively and collaboratively with all levels of employees to maximize performance, creativity, problem solving and results
- A creative yet analytical mindset with strong problem-solving skills.
- Excellent communication and collaboration skills.
- Quick to willingly jump in and help others when they are struggling with issues.