Senior Data Engineer (Hybrid)

Simplepractice; Xico; Híbrido; MXN 1,455,000 - 2,184,000; Jornada completa

Descripción de la vacante

A leading health tech company is seeking a Senior Data Engineer in Veracruz to help build and manage the data infrastructure that powers business intelligence and analytics solutions. You will partner with cross-functional teams to create scalable systems for data ingestion, reporting, and analytics, ensuring optimized access to data insights. The role requires 7+ years in Data Engineering and proficiency in SQL, AWS services, and BI tools, alongside a commitment to improving healthcare practices.

Servicios

Privatized Medical, Dental & Vision Coverage

Flexible Time Off

Work From Home stipend

Holiday Bonus

Hybrid Work Schedule

Formación

• 7 years of experience in Data or Analytics Engineering.
• Experience in data warehouse design, implementation, and maintenance.
• Skilled in handling structured, semi-structured, and columnar formats.

Responsabilidades

• Partner with Product Analytics and Engineering teams.
• Lead technical vision and architecture.
• Manage the complete data stack from ingestion through data consumption.
• Work with DevOps to deploy data solutions leveraging AWS.

Conocimientos

Strong problem-solving skills

Communication skills

Expert in SQL

Proficient in Python

Experience with BI tools

Educación

BS / MS in Engineering, Computer Science, Mathematics or related field

Herramientas

AWS (S3, RDS, Redshift)

DBT

Airflow

Snowflake

Looker

Descripción del empleo

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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.

More than

• 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.

Recognized by MedTech Breakthrough as the Best Practice Management Solution Provider in

• and the Digital Health Awards in
• SimplePractice is proud to pave the future of health tech.

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 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.

The Role

We’re looking for a

Senior Data Enginee r

to help lead the evolution of our data stack from pipelines to 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‑size 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.

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 a 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)

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Required Experience :

Senior IC