Data Engineer

🔥 12 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data 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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Addi

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🛍️ eCommerce

👥 B2C

Fintech • eCommerce • B2C

Addi es una empresa de tecnología que busca impulsar y habilitar el comercio digital en Latinoamérica. En Addi, quieren que las personas compren lo que quieran, cuando quieran, de forma fácil, rápida y transparente, sin intereses, sin costos adicionales, sin papeleo y sin complicaciones.

📋 Description

• Own and evolve the core data ingestion and transformation platform • Design, deploy, and monitor mission-critical data pipelines with high availability and strict SLO/SLI performance • Lead migration to a unified ingestion framework with standardized CDC patterns, schema evolution, and automated data quality checks across Bronze, Silver, and Gold layers • Design monitoring dashboards, alerting systems, and runbooks for self-serve incident diagnosis and resolution • Enforce enterprise-wide data governance, RBAC, and data classification for security, auditability, and compliance • Create standard pipeline templates, CI/CD automated checks, and local testing utilities to improve developer productivity • Collaborate with Product, Analytics, Finance, and Operations to translate business needs into robust, accessible datasets • Optimize pipeline efficiency, automate manual processes, and introduce data engineering best practices • Support reliable real-time financial decisions for Risk, Lending, and Finance

🎯 Requirements

• 4+ years in Data Engineering • Proven track record building and operating production-grade data pipelines, ideally within a high-growth startup or fintech environment • Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related technical field • Ability to design pragmatic systems with clear trade-offs, documented via Architectural Decision Records (ADRs) • Experience taking pipelines from concept and design through deployment, live monitoring, and post-production iteration • Strong hands-on experience with Databricks, PySpark, and Delta Lake across batch and streaming architectures • Experience using Airflow or similar workflow orchestration tools • Familiarity with Medallion architectures and incremental processing techniques such as CDC and merge patterns • Clean code, testing, CI/CD pipelines, performance tuning, and Git workflows including PRs and code reviews • Expertise implementing data quality checks, data contracts, and anomaly detection • Ability to build monitoring dashboards, alerting frameworks, and runbooks; improve MTTR and on-call response • Experience with fine-grained access control such as Unity Catalog, PII classification, DLP, and auditability • Ability to translate infrastructure decisions into business impact for Risk, Finance, Product, and Operations stakeholders

🏖️ Benefits

• Generous salary • Equity in the company • Benefits that go beyond the basics to support your growth • Opportunity to shape company technology, strategy, culture, and values • High-impact growth opportunity • Work alongside a world-class team • Fast, transparent, and engaging hiring experience • Feedback provided regardless of hiring outcome