Databricks Data Engineer

You have 5+ years of deep, hands-on experience building production lakehouses on Databricks. You write clean PySpark and Python, model data thoughtfully, and know how to build for a multi-tenant SaaS environment.

Deep production experience across the Databricks platform including Unity Catalog, Delta Live Tables, Databricks SQL, and Workflows

Delta Lake as a production table format — ACID transactions, schema evolution, performance optimization, and multi-tenant governance via Unity Catalog Experience building and maintaining dbt transformation projects using the Databricks adapter in a production environment

PySpark for large-scale data transformation and batch pipeline authoring

Strong understanding of batch ingestion pipeline design — migrating from relational sources like MySQL and PostgreSQL into a lakehouse architecture

Experience with a modern pipeline orchestrator such as Dagster, Prefect, or Databricks Workflows; Dagster experience is a strong positive

Familiarity with vector databases, embedding pipelines, and RAG patterns for AI workloads — using tools such as Databricks Vector Search, pgvector, or Amazon OpenSearch

Exposure to AI agent and LLM-serving infrastructure including Amazon Bedrock, AgentCore, and Strands

Experience with data cataloging and governance tools such as Unity Catalog or OpenMetadata

Data modeling for multi-tenant analytical workloads — partitioning strategy, schema design, and tenant isolation patterns

Databricks on AWS — workspace configuration, S3 integration, IAM, and cost governance

Infrastructure as code using Databricks Asset Bundles or Terraform

Strong Python and SQL skills

Quickly integrates with the engineering team and contributes meaningfully to the data platform build

Takes ownership of assigned pipeline and infrastructure work end-to-end, from design through production

Brings architectural recommendations and solutions proactively, rather than waiting for direction

Demonstrates strong collaboration and communication across engineering and product teams

Databricks certifications — Data Engineer Associate or Professional

Salesforce or CRM data integration experience

Prior experience in a multi-tenant SaaS environment with strict data isolation requirements

Experience migrating from OLTP to a lakehouse architecture

AWS-Native Experience — A Strong Positive

Candidates with experience in AWS-native data services are strongly valued. Engineers who understand both Databricks and AWS-native approaches bring a broader architectural perspective that helps the team make better long-term platform decisions.

Apache Iceberg, AWS Glue, Athena, and DynamoDB experience*** Please note that our offices are located in Guadalajara and Aguascalientes. Candidates from other cities are welcome to join us through our remote work model. **

Benefits

Major Medical Expense Insurance

Life Insurance

Dental and Vision Insurance

Mental Health Support

IMSS (Mexican Social Security)

Seniority Bonus

Savings Fund Program

Career Development Plan

Christmas Bonus (Aguinaldo)

Vacation Bonus

Corporate Retirement Plan

Certifications and Training Programs

Internal Events

TotalPass Wellness Program

Additional Paid Time Off

Additional Protection and Discounts

Auto and Motorcycle Insurance

Pet Insurance

Personal Belongings Insurance

And much more!!!

*** Please note that our offices are located in Guadalajara and Aguascalientes. Candidates from other cities are welcome to join us through our remote work model. ****