Lead Data Engineer (Hybrid)

SimplePractice
Mexico City
Workplace: HybridFull timeFunction: Administration & Executive AssistanceExperience: 7+ yearsEducation: bachelorsSkills: ["Data engineering","Data modeling","SQL","Snowflake","DBT","Airflow","Kafka","Python","Unix","APIs","Terraform","Docker","ETL","Data warehousing","Looker","Tableau","Sisense"]

Lead the evolution of our data stack, owning pipelines to platform and enabling self-serve analytics and product insights. Collaborate across Data Analytics, ML, Product and Engineering to build scalable, reliable data systems powering executive reporting, revenue forecasting, and customer-facing dashboards in a multi-national environment.

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FursaFursa
SimplePractice
SimplePractice
2 months ago

Lead Data Engineer (Hybrid)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Lead the evolution of our data stack, owning pipelines to platform and enabling self-serve analytics and product insights. Collaborate across Data Analytics, ML, Product and Engineering to build scalable, reliable data systems powering executive reporting, revenue forecasting, and customer-facing dashboards in a multi-national environment.
Location: Mexico City
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner with Product, Analytics and Engineering to build scalable systems that unlock value from data from sources like databases, event streams, and marketing platforms.
  • •Lead technical vision and architecture for short- and long-term data initiatives.
  • •Work with analytics to standardize company-wide metrics.
  • •Support internal use cases such as financial reporting, product analytics and operational metrics.
  • •Enable external use cases like customer-facing dashboards and self-serve analytics while maintaining the data stack from ingestion to consumption.

Pay and Benefits

Perks:Health InsuranceDentalVisionRemote WorkRelocationMeal ReimbursementAnnual BonusWellness Stipend

Key Requirements

  • •BS or MS in Engineering, Computer Science, Mathematics, or a related field; 7+ years in Data or Analytics Engineering.
  • •Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments.
  • •Expertise in SQL and data modeling with experience in data warehouse design (Snowflake) and DBT; familiar with ELT concepts.
  • •Experience with AWS and cloud infrastructure; familiarity with Terraform, Docker, and containerized workflows.
  • •Proficiency in Python and Unix/Linux scripting; experience working with APIs and data orchestration tools (Airflow, Prefect, Airbyte, Fivetran, Kafka).
Experience:7+ yearsHealthtechSaaS
Education:Bachelor's
Skills:Data engineeringData modelingSQLSnowflakeDBTAirflowKafkaPythonUnixAPIsTerraformDockerETLData warehousingLookerTableauSisense
Languages:English
Tech Stack:SQLSnowflakeDBTAirflowAirbyteFivetranKafkaAWSTerraformDockerPythonUnixLookerTableauSisense

Company Brief

SimplePractice
Provides practice management and telehealth software for behavioral health and wellness professionals, offering scheduling, billing, documentation, and secure telehealth services to streamline clinical workflows.
Industry: HealthTech
Headquarters: Lehi, United States
Founded: 2012
WebsiteLinkedIn