Senior Data Platform Engineer

SimplePractice

United States

On-site

USD 160,000 - 222,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision, life &dis
401(k) plan with company match
Flexible Time Off, wellbeing days, and
Mental health resources
Paid parental leave & Backup Care
Tuition reimbursement
Employee Resource Groups (ERGs)

Job summary

SimplePractice is seeking a Lead Data Engineer to advance our data stack from pipelines to platform. You will shape infrastructure powering product intelligence, financial reporting, and self-serve analytics for clinicians in private practice.

You will collaborate with Data Analytics, ML, Product, and Engineering to build scalable, reliable data systems and enable trusted, enterprise-wide analytics at SimplePractice.

Qualifications

  • 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.

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

Skills

Cross-functional collaboration
Data engineering expertise
SQL proficiency
Python
Unix/Linux scripting
Communication skills

Education

BS/MS in Engineering or CS

Tools

Snowflake
DBT
Airflow
Airbyte
Fivetran
Kafka
Looker
Terraform
Docker
AWS

Job description

SimplePractice is seeking a Lead Data Engineer to advance our data stack from pipelines to platform. You will shape infrastructure powering product intelligence, financial reporting, and self-serve analytics for clinicians in private practice.

You will collaborate with Data Analytics, ML, Product, and Engineering to build scalable, reliable data systems and enable trusted, enterprise-wide analytics at SimplePractice.

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