drjobs Senior Data Engineer (Mexico City - Hybrid)

Senior Data Engineer (Mexico City - Hybrid)

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1 Vacancy
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Job Location drjobs

Mexico City - Mexico

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About Us

SimplePractice is headquartered in Los Angeles California but we have team members who work and live across the United States Dominican Republic Mexico City and Ukraine.

We are the worlds leading health practice management software. We build products that help clinicians (e.g. therapists psychiatrists) run their private practices with ease. At the end of the day our mission is to empower private practices to thrive.

Our Culture

At SimplePractice culture is our foundation. It influences the way we work how we serve our customers and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

  • We think big
  • We take simplicity seriously
  • We come as we are
  • We act with humility
  • We are built on trust

Culture is everyones responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

The Role

Were looking for a Senior Data Engineer to help lead the evolution of our data stackfrom pipelines to this role youll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product

Our customers are clinicians in small to mid-sized private practices and the data you shape will directly help them run more efficient effective businesses. By enabling accessible insightsfrom no-show trends to client engagementyoull give practitioners the tools to make smarter faster decisions about how they manage care.

Internally your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. Youll collaborate across Data Analytics ML Product and Engineering teams to build scalable reliable systems that make data a first-class product at SimplePractice.

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

Desired Skills & Experience

Education & Experience

  • 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

Data Engineering & Pipelines

  • 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

Cloud & Infrastructure

  • 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)

Analytics & Enablement

  • 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

Programming & Scripting

  • Proficient in Python and Unix/Linux scripting
  • Comfortable working with APIs (e.g. using curl)

Bonus Points

  • AWS DevOps - Terraform Kubernetes Docker
  • Project & Change Management skills especially experience working in an Agile (SCRUM Kanban) environment/team focusing on sprint by sprint deliveries
  • Real-time ETL - Kafka streaming AWS Kinesis

Benefits

We offer a competitive benefits program including:

  • 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)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (SimplePractice or us or we or our). Please note that when you submit your resume or application materials to us for employment purposes you are subject to theSimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices please contact us at.


Required Experience:

Senior IC

Employment Type

Full Time

About Company

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