Analytics Engineer

Job not on LinkedIn

🔥 15 minutes ago

🌐 Mexico, Colombia – Remote

🇲🇽 Mexico – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DoiT International

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

☁️ SaaS

💼 Consulting

SaaS • Cloud Services • Consulting

DoiT International is a cloud services company that provides comprehensive solutions for managing and optimizing cloud infrastructure across multiple platforms such as AWS, Google Cloud, and Microsoft Azure. Their services include cloud cost management, workload intelligence, automation, and consulting. DoiT International helps businesses optimize their cloud environments, improve performance, and enhance security through a combination of advanced technology and expert consulting.

📋 Description

• Share ownership of the data platform’s engineering, including model changes, engineering backlog, data source onboarding, CI/CD maintenance, and infrastructure operations • Build, test, and maintain data models and pipelines powering dashboards, finance and investor reporting, and the AI analytics layer across 15+ business domains • Provision and configure BigQuery datasets, views, GCS buckets, and IAM permissions through Terraform • Onboard ingestion destinations, manage access controls, and handle schema drift on source tables • Own and expand RBAC implementation and maintain data catalog metadata and documentation • Improve platform reliability through stronger testing standards, observability, and alerting • Support Airflow orchestration and scheduling, including troubleshooting dbt build failures in Cloud Composer • Build and maintain Python-based Fivetran SDK connectors with pagination, rate limiting, error handling, and automated tests • Partner with BI analysts to turn ambiguous questions into well-modeled, trustworthy datasets • Raise engineering practices through code review and shared standards • Use modern AI tooling to draft code and accelerate routine work • Report to the Head of Business Intelligence and collaborate with BI analysts, engineers, and business partners

🎯 Requirements

• 3–5 years in analytics engineering, data engineering, or BI engineering • Strong SQL and data modeling skills • Professional experience building and maintaining dbt projects, including packages, macros, incremental strategies, snapshots, seeds, and CI/CD • Experience with staging → intermediate → mart patterns, deferred builds, state comparison, and slim CI • Software engineering discipline with version control, code review, automated testing, and CI/CD • Strong drive to automate repetitive manual work • Ability to debug data issues to their root cause and consider freshness, volume, duplicates, and late-arriving data • Ability to translate business needs into data requirements and work with non-technical stakeholders, including Finance • Comfort navigating multiple repositories across transformation, data infrastructure, orchestration, custom connectors, and cloud resources • Proven track record of using AI coding tools in daily workflow • Independence in a remote, global team, with clear written communication and discipline to document work • Fluent written and spoken English; other languages are an advantage • Bonus: experience with BigQuery, Fivetran, Apache Airflow/Cloud Composer, or AWS/Azure equivalents • Bonus: data catalog or data observability tooling experience • Bonus: Git-based CI/CD workflows for data projects • Bonus: Terraform for data infrastructure • Bonus: Python for REST API data integration • Bonus: dbt build lifecycle, BigQuery performance tuning, Docker, Kubernetes, SQLFluff/pre-commit, or SaaS source systems

🏖️ Benefits

• Unlimited Vacation • Flexible Working Options • Health Insurance • Parental Leave • Employee Stock Option Plan • Home Office Allowance • Professional Development Stipend • Peer Recognition Program • Remote work and schedule flexibility • Opportunities to develop skills professionally and personally