Senior Data Engineer

SimplePractice
Mexico City
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Cross-functional collaboration"]

Lead the evolution of the data stack—pipelines to platform—building scalable systems that power product intelligence, financial reporting, and self-serve analytics. You’ll partner with Product, Analytics, and Engineering to standardize metrics, manage end-to-end data ingestion through consumption, and enable both internal reporting and customer-facing dashboards. Work closely with DevOps to deploy data solutions in AWS and help define enterprise data quality and security best practices.

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FursaFursa
SimplePractice
SimplePractice
1 day ago

Senior Data Engineer

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Last checked: 18 minutes agoStatus: Live

Job Summary

Lead the evolution of the data stack—pipelines to platform—building scalable systems that power product intelligence, financial reporting, and self-serve analytics. You’ll partner with Product, Analytics, and Engineering to standardize metrics, manage end-to-end data ingestion through consumption, and enable both internal reporting and customer-facing dashboards. Work closely with DevOps to deploy data solutions in AWS and help define enterprise data quality and security best practices.
Location: Mexico City
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with Product, Analytics, and Engineering to build scalable data systems from sources like databases, event streams, and marketing platforms.
  • •Lead data architecture and technical vision across short- and long-term horizons for the data stack.
  • •Standardize metrics and align the organization through collaboration with analytics.
  • •Enable internal and external use cases including financial reporting, product analytics, self-serve analytics, and next best action in product.
  • •Manage the complete data stack from ingestion through consumption and work with DevOps to deploy and maintain solutions in AWS.

Pay and Benefits

Perks:Health InsuranceDentalVisionRemote WorkPaid LeaveAnnual Bonus

Key Requirements

  • •7+ years in data or analytics engineering.
  • •BS/MS in Engineering, Computer Science, Mathematics, or a related field.
  • •Expert in SQL and data modeling (relational, dimensional, semantic), including enterprise dimensional modeling.
  • •Proven experience designing, implementing, and maintaining a data warehouse in Snowflake; hands-on with DBT for modular transformations.
  • •Hands-on with data orchestration/ingestion tools such as Airflow, Prefect, Airbyte, Fivetran, and Kafka.
Experience:7+ yearsData engineeringAnalytics engineering
Education:Bachelor's
Skills:Problem-solvingCommunicationCross-functional collaboration
Languages:English
Tech Stack:SQLData modelingEnterprise dimensional modelingSnowflakeDBTAirflowPrefectAirbyteFivetranKafkaELTSchema-on-readDAGsAWSS3RDSRedshiftTerraformDockerJSON

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