Mexico City
Live, first seen by us 25 days agoBuild scalable systems that pull data from databases, event streams and marketing platforms
Lead technical vision and architecture for data across short and long horizons
Standardize metrics company-wide for consistent reporting
Enable customer-facing dashboards and self-serve analytics
Manage the complete data stack from ingestion through data consumption
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
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
7+ years in Data or Analytics Engineering
Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
Experience with AWS (S3, RDS, Redshift, etc.)
Experience building and supporting semantic layers for self-serve analytics
Proficient in Python and Unix/Linux scripting
Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
From the employer’s posting.
It influences the way we work, how we serve our customers, and how we approach accomplishing our mission.
In the employer’s words · Read in context
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Day 25
Similar jobs usually come down between day 6 and day 54.
At SimplePractice, jobs usually come down by about day 36.
From 11,206 similar postings that came down, and 7 of SimplePractice’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Programming & Scripting - Proficient in Python and Unix/Linux scripting - Comfortable working with APIs (e.g., using curl)
- 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
- 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
- Cloud & Infrastructure - Experience with AWS (S3, RDS, Redshift, etc.) - Familiar with Terraform, Docker, and containerized workflows (bonus)
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
- 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
- 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
- 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)
- 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
- 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
Complete your application on www.simplepractice.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Senior Data Engineer jobs there since August 2026. One came down after 31 days. One is still up.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Along with submitting your application, we’d love to meet you in person! Join our leadership team on October 27th for our exclusive talk: Securing Trust in Clinical AI Agents.
👉 RSVP on Luma (Limited capacity)
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.
At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.Â
More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.Â
Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.
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:
Culture is everyone’s 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.
We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll 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 insights—from no-show trends to client engagement—you’ll 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. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.
We offer a competitive benefits program including:
Thank you for your interest in opportunities at Practicease S.C. (operating locally for SimplePractice). Please note that when you submit your resume or application materials to us for employment purposes in Mexico, your personal data will be processed in accordance with the Practicease S.C. Job Applicant Privacy Notice under the Ley Federal de ProtecciĂłn de Datos Personales en PosesiĂłn de los Particulares (LFPDPPP).
Summary of Privacy Practices:
For full details on how we handle your personal data, please review our complete [Practicease S.C. Job Applicant Privacy Notice (Full Notice)].
Security & Fraud Warning Practicease S.C. and SimplePractice have been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.
All official recruitment emails will be sent from the domains @simplepractice.com, no-reply@greenhouse.io, or no-reply@linkedin.com. Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.
Please note that Practicease S.C. and SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.
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Mexico City
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