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" href="https://www.getonbrd.com/companies/improving">Improving https://www.getonbrd.com/companies/improving

July 21, 2026

Databricks Data Engineer in Improving

FULL_TIME

5 cities

This job is performed partly from home and partly at the office in: Ciudad de México, Guadalajara, Monterrey, Aguascalientes or Querétaro (Hybrid) | Senior | Full time |

strong
The salary shown is for reference only
/strong
and may vary or be established in local currency."> Gross salary $3000 - 4500 USD/month

Relocation offered

7 applications

Responde entre 15 y 29 días Last checked 4 days ago

ⓘ Requires applying in English

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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

Exclusive offer from getonbrd.com.

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

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

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 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. **

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. ****

GETONBRD Job ID: 62552

Relocation offered If you are moving in from another country, Improving helps you with your relocation.

Pet-friendly Pets are welcome at the premises.

Adaptable hours Flexible schedule and freedom for attending family needs or personal errands.

Partially remote You can work from your home some days a week.

Health coverage Improving pays or copays health insurance for employees.

Computer provided Improving provides a computer for your work.

Informal dress code No dress code is enforced.

Vacation over legal Improving gives you paid vacations over the legal minimum.

Beverages and snacks Improving offers beverages and snacks for free consumption.

Remote work policy

Hybrid

This job is performed partly from home and partly at the office in Ciudad de México, Guadalajara, Monterrey, Aguascalientes or Querétaro (Mexico).

Apply now

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› › ›

About Improving

Improving is an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes. —

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Databricks Data Engineer

Improving • 5 cities

This job is performed partly from home and partly at the office in: Ciudad de México, Guadalajara, Monterrey, Aguascalientes or Querétaro (Hybrid)

ⓘ Requires applying in English

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📌 Databricks Data Engineer (Aguascalientes)
🏢 Importante Empresa Del Sector
📍 Aguascalientes