Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Compass

Data Engineer – Specialist

Compass

Data Engineer specializing in AI for data modernization and system optimization. Join Compass UOL in shaping next-gen data solutions and AI-driven outputs.

Posted 6/4/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
PySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Define and implement Artificial Intelligence solutions applied to data modernization and legacy systems.
  • Develop mechanisms for analyzing, interpreting, and extracting technical information from legacy artifacts.
  • Build Generative AI–based solutions to accelerate documentation, transformation, and migration processes.
  • Create intermediate metadata models to represent flows, business rules, dependencies, entities, and transformations.
  • Develop accelerators and reusable components aligned with the enterprise data architecture.
  • Support the definition of templates, technical standards, and declarative structures for modern pipelines.
  • Develop and evolve pipelines using Databricks, PySpark, Lakeflow Jobs, and Declarative Pipelines.
  • Work with batch loads, incremental ingestions, CDC (Change Data Capture), and enterprise integrations.
  • Support the advancement of data governance, traceability, and data quality during migration.
  • Collaborate with architects, data engineers, and platform specialists to define scalable and secure solutions.

Requirements

What you’ll need
  • Experience with Artificial Intelligence applied to Data Engineering, Software Engineering, or Technical Automation.
  • Hands-on knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with:
  • AI agents
  • RAG (Retrieval-Augmented Generation)
  • Prompt engineering
  • Function calling
  • Tool use
  • Automated workflows
  • Experience with AI orchestration frameworks:
  • LangChain
  • LangGraph
  • Semantic Kernel
  • CrewAI
  • Or equivalent frameworks
  • Experience with Python.
  • Experience with PySpark and Spark SQL.
  • Development of data pipelines in distributed environments.
  • Advanced SQL knowledge.
  • Knowledge of XML, JSON, and YAML.
  • Experience with data modeling and Data Warehousing.
  • Experience working with Databricks environments.

Benefits

Comp & perks
  • Position open to candidates with disabilities (PcD)

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Artificial IntelligenceGenerative AILarge Language ModelsPythonPySparkSpark SQLSQLXMLJSONYAML
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinking