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Lead Data Engineer
Lead the data infrastructure behind SimplePractice’s healthcare practice management platform, supporting analytics, reporting, dashboards, and AI evaluation. Collaborate across product and business teams to build scalable systems.
विवरण
- Guide the development of SimplePractice’s data stack, from pipelines through platform services.
- Build infrastructure for product insights, financial reporting, self-service analytics, and AI evaluation.
- Work with Product, Analytics, Engineering, ML, and DevOps to create scalable systems using databases, event streams, and marketing platforms.
- Set technical direction and architecture for immediate and long-range needs.
- Partner with Analytics to define consistent company-wide metrics.
- Enable financial and product analysis, operational measurement, customer dashboards, self-service analytics, and next-best-action features.
- Oversee data workflows from ingestion to consumption.
- Create tools that make company-wide business results more transparent.
- Deploy and operate cloud data solutions, preferably on AWS.
- Help establish data quality and security frameworks and champion sound data engineering practices.
आवश्यकताएँ
- Bachelor’s or master’s degree in engineering, computer science, mathematics, or a related discipline.
- At least 7 years of experience in data or analytics engineering.
- Strong problem-solving and communication abilities, with comfort working in fast-paced, cross-functional settings.
- Knowledge of enterprise architecture and data architecture, including data modeling and dimensional modeling.
- Advanced SQL and data modeling skills across relational, dimensional, and semantic models.
- Demonstrated background designing, implementing, and maintaining data warehouses, particularly Snowflake.
- Practical experience using dbt to build modular, testable transformations.
- Experience with Airflow, Prefect, Airbyte, Fivetran, and Kafka.
- Familiarity with ELT, schema-on-read, DAGs, and query or pipeline performance tuning.
- Experience with AWS services including S3, RDS, and Redshift.
- Familiarity with Terraform, Docker, and container-based workflows is a plus.
- Ability to work with structured, semi-structured JSON, and columnar formats such as Parquet and ORC.
- Experience developing and supporting semantic layers for self-service analytics.
- Proficiency with business intelligence tools such as Looker, Tableau, or Sisense.
- Proficiency in Python and Unix or Linux scripting.
- Comfort working with APIs, including tools such as curl.
- Additional experience with AWS DevOps, Terraform, Kubernetes, Docker, Agile SCRUM or Kanban, Kafka streaming, or AWS Kinesis is a plus.
लाभ
- Private medical, dental, and vision coverage.
- Supplemental health and wellness benefits through Modern Health and Vivawell.
- Work-from-home stipend.
- Flexible time off, wellbeing days, Summer Fridays, mid-year and year-end Reflect & Recharge company holidays, and paid holidays.
- Christmas bonus equivalent to 15 days’ pay (aguinaldo).
- Monthly meal or grocery voucher through a Si Vale card.
- Catered lunch.
- Relocation bonus for candidates joining from another city.
- Annual bonus.
- Tuition reimbursement.
- Savings fund.
- Employee resource groups (ERGs).
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