---
title: '#5 Senior Data Engineer- Costa Rica, LATAM at BlueCloud Services, Inc.'
canonical: 'https://feeny.ai/job/5-senior-data-engineer-costa-rica-latam-bluecloud-services-inc-latam-2-6pm46v4weqc3'
type: 'job'
last_seen: '2026-09-08'
---

# #5 Senior Data Engineer- Costa Rica, LATAM at BlueCloud Services, Inc.

- **Company:** BlueCloud Services, Inc.
- **Location:** Latam 2
- **Work type:** remote
- **Posted:** 2026-06-17
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/blue/cae65436-a504-4d91-a8fa-d3502fbd1242

## Job description

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches. With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth. We don't just strategize — we execute.

Senior Data Engineer This is a senior-level role focused on the design, development, and ownership of data solutions built primarily on Snowflake Data Cloud. You will lead the architecture and implementation of scalable data pipelines, establish robust data models, and enforce data governance and security standards across the platform.

## Key Responsibilities

Data Pipeline & Engineering Design, build, and own scalable data pipelines and ingestion processes using SQL, Python, dbt, and cloud-native tools. Architect and implement ELT/ETL patterns across batch, incremental, and CDC pipelines. Lead the development of data models using Dimensional Modeling, Data Vault, or Lakehouse approaches. Define and implement data transformation logic, data quality validations, and business rules. Platform & Cloud Engineering Own the design and optimization of Snowflake environments, including warehouse sizing, cost governance, storage standards, schema management, and performance tuning. Work with cloud platforms (AWS, Azure, or GCP) to integrate with Snowflake and deliver high-performance, cost-efficient solutions. Lead pipeline orchestration using Airflow, dbt Cloud, or similar tools. Governance & Security Establish and enforce data governance frameworks, access controls, and security protocols- with particular focus on Snowflake-native capabilities such as row-level security, dynamic data masking, and data sharing. Define and maintain data quality standards, lineage documentation, and compliance requirements.

## Requirements

7+ years of hands-on experience in data engineering, with a strong professional track record in place of formal credentials. Proven, deep expertise with Snowflake- including performance optimisation, cost management, security features, and data architecture. Solid working knowledge of SQL and at least one scripting language, preferably Python. Experience designing and building ELT/ETL pipelines across batch, incremental, and CDC patterns. Familiarity with data modeling approaches such as Dimensional Modeling, Data Vault, or Lakehouse. Experience with at least one cloud platform (AWS, Azure, or GCP) in a data engineering context.

## Nice to Have

Hands-on experience with dbt, Airflow, or dbt Cloud. Exposure to data governance frameworks and security best practices within cloud environments. Experience working in a consultancy or multi-client environment.

We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying.

## About BlueCloud Services, Inc.

## Company Overview
- **One-liner**: BlueCloud is a Snowflake Elite Partner and AI-powered data transformation firm that helps enterprise organizations modernize data infrastructure, accelerate migrations, and deploy production AI using proprietary accelerators.
- **Entity Type**: Private (acquired by Hudson Hill Capital; venture round in March 2022)
- **Headquarters**: Tampa, Florida, United States
- **Founded**: 2004 (per LinkedIn) or 2018 (per Inc. 5000 – conflicting reports)
- **Founders**: Kerem Koca (Co-Founder, Executive Chairman)

## Core Business
- **Primary industries**: Data and analytics consulting, cloud migration, AI enablement – focused on financial services, healthcare & life sciences, retail, and manufacturing.
- **Target customers**: Large enterprises (Fortune 500) with complex, high-stakes data environments.
- **Mission**: Deliver strategic transformation at speed by combining advisory-led thinking with AI-powered accelerators that compress timelines by 40–50%.

## Products & Services
- **Snowflake Advisory & Migration**: End-to-end consulting for moving from legacy platforms (SAP, on-premise) to Snowflake, including platform consolidation and multi-cloud architectures.
- **AI-Powered Accelerators**: Proprietary tooling using Cortex AI, SnowConvert, and automation frameworks to reduce migration effort and deliver analytics-ready data.
- **Managed Services & Support**: Ongoing optimization, governance, and production AI enablement across Snowflake environments.
- **SAP Integration**: Deep expertise in unlocking SAP data for real-time analytics and AI.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $20M annual revenue (per LinkedIn) with 450 Snowflake-certified consultants (per company website) and 200+ enterprise projects completed.
- **Notable Investors/Partners**: Hudson Hill Capital (acquirer), Snowflake (Elite Partner status).
- **Growth Signals**: Maintains 6 active job postings (quarterly job growth +200%); global workforce across 19 countries; expanding into LATAM and Eastern Europe; high LinkedIn follower growth (+6.8% yearly).

## Competitive Advantages
- **100% Snowflake focus** – no distraction from other platforms, allowing deep specialization and continuous upskilling on the latest Snowflake capabilities.
- **AI-powered delivery** – proprietary accelerators (Cortex Code, SnowConvert) that compress timelines by 40–50% compared to traditional methods.
- **Senior-led engagements** – every project staffed with senior architects and industry advisors who stay embedded from strategy through delivery.
- **Proven enterprise track record** – 200+ successful projects for Fortune 500 clients in regulated industries (financial services, healthcare).

## Strategic Focus
- **Modernize data foundations** for real-time analytics and production AI.
- **Activate AI** at enterprise scale using Snowflake’s Cortex AI, Snowpark, and machine learning frameworks.
- **Expand global delivery** – hiring across North America, Europe, Asia, and Latin America to support growing client demand.
- **Deepen industry specialization** in financial services, healthcare, retail, and manufacturing.

## Why Work Here
- **Remote-first global culture**: Borderless team across 19 countries (North America, Europe, Asia, South America) with flexibility to work from anywhere.
- **100% Snowflake specialization**: Deep, not broad – every project pushes the boundaries of what’s possible on Snowflake. Continuous learning with certifications and exposure to Cortex AI.
- **Measurable impact**: Work drives tangible outcomes (e.g., 40% fraud reduction, $1.5M client savings, 60% faster insights).
- **Build reusable IP**: Contribute to proprietary accelerators used across 200+ projects.
- **Growth opportunities**: Stretch assignments, certifications, and a culture of continuous learning.
- **Diverse & inclusive**: Emplasis on diversity for innovation and global equality – talent has equal access regardless of location.
- **Gold standard delivery**: Commitment to excellence reflected in project quality and client satisfaction.

## Sources
1. [BlueCloud Official Website – About](https://www.blue.cloud/about)
2. [BlueCloud Careers Page](https://www.blue.cloud/careers)
3. [Lever.co – BlueCloud Job Postings](https://jobs.lever.co/blue)
4. [LinkedIn - BlueCloud Company Profile](https://linkedin.com/company/bluecloudservices)
5. [Inc. 5000 – BlueCloud Profile](https://www.inc.com/profile/bluecloud)

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