Databricks Data Engineer
Location: Chile (3x2)
Employment Type: Full-Time
Business Unit: DevOps
Reports to: Manager, Application Development & Data Engineering
About the Role
We are looking for an experienced Databricks Data Engineer to join our Enterprise Reporting & Data Warehouse (ERDW) team. In this role, you will be a key contributor to the evolution of our enterprise data platform, supporting critical reporting solutions while helping modernize our data ecosystem through Databricks.
You will work at the intersection of data platform engineering, business intelligence, and self-service analytics, enabling business users, analysts, and citizen developers to access trusted, governed, and scalable data solutions.
This position offers the opportunity to shape the future of our data landscape, contribute to large-scale migration initiatives, and collaborate with cross-functional teams across North America.
What You'll Do
Data Platform & Engineering
- Design, build, and maintain data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake.
- Develop and optimize data solutions following modern data architecture practices.
- Support and enhance enterprise reporting and data warehouse solutions.
- Troubleshoot and resolve data, pipeline, and reporting issues across the end-to-end data ecosystem.
- Contribute to the ongoing migration of legacy data solutions into Databricks.
Self-Service Analytics Enablement
- Partner with analysts and citizen developers to deliver data solutions.
- Create reusable, curated datasets that enable scalable self-service analytics.
- Support data access management and governance through Unity Catalog.
- Coach users on Databricks SQL and data best practices.
- Review, optimize, and productionize business-built analytics assets when appropriate.
Governance & Operational Excellence
- Support data governance initiatives, data quality controls, and lineage management.
- Monitor performance, costs, and usage of Databricks workloads.
- Collaborate on CI/CD, Git-based development processes, and deployment practices.
- Document technical solutions, processes, and operational runbooks.
What We're Looking For
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- 5+ years of hands-on experience working with Databricks in production environments.
- Strong expertise in:
- Databricks
- PySpark
- Spark SQL
- Delta Lake
- Databricks Workflows
- Databricks SQL
- Strong experience with T-SQL, SQL Server, and legacy data warehouse environments.
- Experience supporting business-critical reporting or data platforms.
- Professional working proficiency in English, both written and verbal.
- Ability to work remotely from Chile with overlap during US Eastern Time business hours.
Preferred Qualifications
- Databricks Certified Data Engineer Associate or Professional certification.
- Experience with:
- Azure Data Factory
- Azure Synapse Analytics
- Delta Live Tables
- Unity Catalog
- Azure Key Vault
- Git-based DevOps and CI/CD practices
- Power BI
- Change Data Capture (CDC) technologies
- Experience supporting self-service analytics or citizen developer communities.
- Knowledge of ERP systems and finance, construction, equipment, or safety data domains.
Key Competencies
- Problem-solving and analytical thinking
- Strong ownership mindset
- Excellent communication skills
- Collaboration across technical and business teams
- Adaptability in fast-changing environments
- Time management and prioritization
- Customer and service orientation
Why Join Us?
- Work on a modern enterprise data platform built around Databricks.
- Be part of a major data transformation and cloud modernization journey.
- Collaborate with global teams in a highly innovative environment.
- Influence data governance, platform engineering, and analytics enablement initiatives.
- Grow your expertise in cutting-edge data and AI-enabled technologies.
We are committed to creating a diverse and inclusive workplace. We welcome applications from all qualified candidates and provide equal employment opportunities for everyone.
Bachelor's degree or equivalent, 5+ years of production Databricks experience, strong PySpark, Spark SQL, Delta Lake, T-SQL, and SQL Server expertise, plus professional English proficiency.
Key Responsibilities
- designing pipelines
- enabling analytics
- supporting governance
Skills & Tools
Databricks, PySpark, Spark SQL, Delta Lake, Databricks Workflows, Databricks SQL, T-SQL, SQL Server, Unity Catalog, Azure Data Factory, Azure Synapse Analytics, Delta Live Tables, Azure Key Vault, Power BI, Git, CI/CD
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — Santiago or Chile or North America
- Languages: English
About Equans
A global infrastructure and energy services company delivering solutions for businesses and communities. — Industry: Utilities