Senior Data Engineer - (Talent Pool / Future Opportunities)
Senior Data Engineer
Location: [Fully remote]
.Monks Technology Services, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries.
As part of our commitment to inclusion and in compliance with Law 2466 of 2025 from Colombia, we have available spaces for people with disabilities.
About the Role
As a Senior Data Engineer, you’ll build reliable ingestion and transformation pipelines, implement automated quality checks, and ensure downstream systems can trust the data they depend on. Working within a .Monks delivery team, you’ll collaborate with clients, engineers, and product teams while using AI coding agents such as Claude Code and Codex as part of your everyday workflow.
Responsibilities
Build and maintain ingestion and transformation pipelines across diverse data sources
Develop automated validation and integrity checks that identify data issues early
Model and move data across relational and analytical stores to support reliable downstream systems
Monitor pipeline health and troubleshoot data quality and performance issues
Design pipelines that are reliable, scalable, and observable
Review human- and AI-generated code for quality, correctness, and consistency
Collaborate with engineers and product teams to define and implement data quality standards
Communicate data quality risks and technical concepts clearly to clients and non-technical stakeholders
Identify and resolve the root causes of pipeline and data integrity issues
Use AI coding agents to accelerate engineering workflows while maintaining high quality standards
Other duties as assigned
About You
Qualifications & Skills
5+ years of relevant experience in data engineering or backend engineering
Advanced proficiency in at least one core language, preferably TypeScript/Node.js or Python
Strong SQL and data modeling skills across relational and analytical data stores
Solid understanding of data ingestion, ETL, transformation, and pipeline architecture
Experience designing scalable data validation, integrity, and quality checks
Experience building and operating data solutions on AWS
Fluency working alongside AI coding agents, such as Claude Code or Codex, and reviewing AI-generated code
Rigorous approach to data correctness, reliability, and observability
Strong ownership mindset and practical root-cause problem-solving skills
Strong English communication skills, including the ability to explain data quality concepts to non-specialists
Ability to collaborate effectively with clients, engineers, and product teams
Comfort working in a fast-paced, agile consulting environment
.Monks Technology Services does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic