Data Engineer - Databricks & Snowflake
The Data Engineer will build, maintain, and troubleshoot data pipelines within a Databricks and Snowflake ecosystem. The role focuses on operational excellence, including incident resolution, performance optimization, and monitoring production data platforms.
- Compensation
- Not disclosed
- Location
- Bogotá, Colombia
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 2-3 years of experience in data engineering, ETL/ELT development, or production support
- Strong SQL skills
- Hands-on experience with Snowflake and Databricks
- Proactive, service-focused mindset for incident and development work
Nice to have
- Experience with ServiceNow, Control-M, Azure DevOps, Git, or CI/CD
- Exposure to data observability, monitoring, and platform logging
- Familiarity with dbt or cloud data ecosystem patterns
- Professional English communication skills
- Valid COPNIA professional engineering license
Full description
Slalom’s Enhance &Operate(E&O) team is looking for a hands-on Data Engineer who enjoys building and improving data pipelines and keeping production platforms running smoothly. In this role, you’ll support a modernDatabricks & Snowflake Enterprise Data Warehouse (EDW) ecosystem, combining data engineering fundamentals with operational excellence— monitoringpipelines, resolving incidents,developing code enhancements, andcontinuously improving reliability and performance in a service-oriented environment.
You’ll work with a highly collaborative, cross-regional delivery model (“all-shore”) and partner closely with both technical and non-technical stakeholders.
Work schedule: This rolemay requireshift coverage between 12:00 AM –12:00AMCentral Time (CT) (rotations may apply depending on team needs).
WhatYou’llDo
- Build, enhance, and troubleshoot data pipelines and Databricks and Snowflake ELT/ETL processes.
- Monitor daily/weekly/monthly databatchcycles and respond quickly to job failures, latency, or data-quality issues.
- Diagnoseandresolveproduction incidents withinService-Level Agreements (SLA)targets using SQL, Python , platform logs, documentation, and runbooks.
- Perform root cause analysis (RCA) , write documentation of findings, and implement fixes to prevent recurrence of issues.
- Drive operational improvements : automation, alert tuning, performance optimization, and reliability enhancements.
- Work within ITIL/ITSM workflows (ticketing, incident/problem management, change processes) and communicate clearly with both technical and business stakeholders.
- Collaborate with teammates across regions—sharing context early, documenting decisions, and maintaining strong handoffs.
What You Bring
Required
- A proactive, data platform service-focused mindset: youwill ownincidents, issues, and developmentworkend-to-end and follow your work through to resolution.
- A Problem-solving mindset; Willingness to learn and understand how issues and resolutions fit into the EDW system design
- Experience in working independently on assigned work; but also, comfortable collaborating with others to investigate and resolve issues; comfortable sharing concepts and information about issue resolution with teammates
- 2-3years of experience in data engineering, ETL/ELT development, or production support for data platforms.
- Strong SQL skills (debugging, performance awareness, data validation).