Databricks Data Engineer

What you’ll bring:

• 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

Projects

Data Lake & Warehouse Architecture

• A multi-tenant data lake and warehouse that unifies all research data — surveys, qualitative feedback, CRM, media transcripts, and more — in a structured, AI-consumable format
• Tenant-isolated data architecture where enterprise client data is structurally separated at the storage and query layer
• Provenance-aware data models where every data point carries full traceability back to its source

Data Ingestion & Pipelines

• Batch ingestion pipelines that migrate and continuously sync data from existing relational databases and cloud storage into the new lake architecture
• A nightly profile enrichment pipeline that rebuilds living user profiles from all data sources within each client account

Data Access & AI Enablement

• Data access layers serving AI agents via MCP, qualitative search via RAG pipelines, statistical computation tools, REST APIs, and bulk export

Your Success Metrics

• 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

Awesome Benefits :

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. ****

Preferred (but not required):

• 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 PositiveCandidates 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. **