Full - Stack Data Engineer designing and optimizing complex data solutions for automotive content. Collaborating with teams to enhance user experience across MOTOR's product lines.
About the role
- Senior Data Engineer leading the evolution of our data stack at SimplePractice. Building infrastructure for product intelligence, financial reporting, and self-serve analytics.
Responsibilities
- Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
- Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons
- Work with analytics to create company wide alignment through standardized metrics across the company
- Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
- Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product
- Manage the complete data stack from ingestion through data consumption
- Build tools to increase transparency in reporting company wide business outcomes
- Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
- Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice
Requirements
- BS/MS in Engineering, Computer Science, Mathematics, or related field
- 7+ years in Data or Analytics Engineering
- Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
- Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
- Expert in SQL and data modeling (relational, dimensional, semantic)
- Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
- Hands-on with DBT for modular, testable transformations
- Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
- Familiar with ELT, schema-on-read, DAGs, and performance optimization
- Experience with AWS (S3, RDS, Redshift, etc.)
- Familiar with Terraform, Docker, and containerized workflows (bonus)
- Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
- Experience building and supporting semantic layers for self-serve analytics
- Proficient with BI tools like Looker, Tableau, or Sisense
- Comfortable standardizing metrics and enabling trusted, consistent access to data
- Proficient in Python and Unix/Linux scripting
- Comfortable working with APIs (e.g., using curl)
Benefits
- Privatized Medical, Dental & Vision Coverage
- Work From Home stipend
- Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
- Monthly Meal Reimbursement
- Holiday Bonus, 15-day Aguinaldo
- Hybrid Work Schedule & Catered Lunch
- A relocation bonus for candidates joining us from a different city
- Employee Resource Groups (ERGs)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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